Funding led by Lightspeed with participation from WndrCo, Amplify Partners and others, Reactor provides the infrastructure layer for real-time generative video

SAN FRANCISCO, May 28, 2026 — Reactor, the developer platform for real-time generative video, today emerged from stealth with $59 million in funding led by Lightspeed Venture Partners, with participation from WndrCo, Amplify Partners, Sky9 Capital, FPV Ventures, and additional investors.

Reactor is building the infrastructure layer that makes real-time world models accessible to developers, enabling a new generation of interactive AI applications across media and entertainment, physical AI, and robotics.

World models represent a fundamental shift in AI, from a tool you prompt, into an experience you can step inside and interact with in real time. This shift unlocks a new form of media: experiences that are no longer pre-rendered, but generated dynamically and shaped by user interaction.

Yet despite rapid advances from leading labs, no platform exists to run these models in production or allow developers to build applications on top of them at global scale. Reactor is addressing that need.

The Reactor platform provides a unified SDK and API that allows developers to build real-time interactive applications in just a few lines of code, without needing to manage the complexity of deploying and running these systems at scale.

“World models are redefining what AI can do, moving from systems that generate content in isolation, to ones that perceive and respond in real time,” said Alberto Taiuti, co-founder and CEO of Reactor. “We are building the critical layer between the model labs and the developers who want to create with them. This is about enabling a new form of media; one where experiences that weren’t previously possible, are generated live, and anyone can build and distribute them.”

Reactor was co-founded by Alberto Taiuti, CEO, and Bryce Schmidtchen, CTO, both former technical leads on the Apple Vision Pro. Taiuti previously co-founded Luma AI, where he served as CTO and built the infrastructure behind one of the world’s most widely used 3D and video generation platforms.

The broader team includes engineers and researchers from Apple, Netflix, Meta, Google, Adobe, Replicate, and Microsoft, with deep experience in graphics, real-time systems, interactive media, and scaling AI infrastructure.

“Real-time video models are currently inaccessible to developers due to a lack of infrastructure that can reliably serve them,” said Bucky Moore, Partner at Lightspeed. “Alberto, Bryce, and the team bring a rare combination of real-time systems expertise and product vision to this problem, and we believe Reactor is well positioned to become the foundational platform in this new category.”

Reactor is already working with partners across media and entertainment, and physical AI, with active customer demand from film and television studios, and robotics companies.

“Every major shift in media has been driven by new tools that expand what creators can do,” said Jeffrey Katzenberg, Founding Partner at WndrCo, who will join Reactor as a board observer. “AI is a transformative moment, but the real opportunity lies in making these technologies usable at scale. Reactor is building the platform that can enable a new generation of storytelling and interactive experiences.”

Leading world model developers are beginning to build on Reactor as an infrastructure layer for real-time systems. Overworld is leveraging the platform to support development around its interactive world models, demonstrating how these systems can evolve from research into fully usable, interactive experiences.

“Building world models is only part of the challenge, making them usable and responsive in real time is equally critical,” said Louis Castricato, CEO at Overworld. “Reactor provides infrastructure support that helps us bring these systems to developers and users, as we work toward building a new medium of interactive entertainment you can truly inhabit.”

Reactor’s strategic partners include Amazon Web Services (AWS), which will serve as the company’s preferred cloud provider, powering the compute infrastructure and distribution reach required to serve real-time generative video workloads at global scale.

“Reactor’s real-time video platform demands inference infrastructure that can deliver at the speed of interaction, not just the speed of generation, and AWS is unmatched in solving for the latency, scale, and reliability that these workloads require,” said Jason Bennett, VP and Global Head of Startups and Venture Capital at AWS. “Profitable AI starts with lower-cost inference. From purpose-built chips to flexible AI services, AWS is uniquely positioned to help platforms like Reactor scale real-time generative video economically to developers everywhere.”

The platform is available today via SDK and API. Pricing is usage-based, billed by model type. Developers can get started at reactor.inc

About Reactor

Reactor is the developer platform for real-time generative video. Its mission is to make real-time world models accessible to developers everywhere. Reactor is backed by Lightspeed Venture Partners, WndrCo, Amplify Partners, Sky9 Capital, Abstract Ventures, FPV Ventures, and additional investors, and is headquartered in San Francisco, California. For more information, visit reactor.inc

Media Contact
Ulysses King
[email protected] 

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– Reactor sale del anonimato con una inversión de 59 millones de dólares para construir la plataforma de mundos de IA en tiempo real

Con financiación liderada por Lightspeed y la participación de WndrCo, Amplify Partners y otros, Reactor proporciona la capa de infraestructura para vídeo generativo en tiempo real

SAN FRANCISCO, 28 de mayo de 2026 — Reactor, la plataforma de desarrollo de vídeo generativo en tiempo real, salió hoy del anonimato con una financiación de 59 millones de dólares liderada por Lightspeed Venture Partners, con la participación de WndrCo, Amplify Partners, Sky9 Capital, FPV Ventures y otros inversores.

Reactor está construyendo la capa de infraestructura que hace que los modelos del mundo en tiempo real sean accesibles para los desarrolladores, lo que permite una nueva generación de aplicaciones de IA interactivas en los ámbitos de los medios de comunicación y el entretenimiento, la IA física y la robótica.

Los modelos del mundo representan un cambio fundamental en la IA, pasando de ser una herramienta que se controla mediante comandos a una experiencia interactiva en tiempo real. Este cambio abre un nuevo camino a los medios de comunicación: experiencias que ya no están pre-renderizadas, sino que se generan dinámicamente y se adaptan a la interacción del usuario.

Sin embargo, a pesar de los rápidos avances de los principales laboratorios, no existe ninguna plataforma que permita ejecutar estos modelos en producción ni que posibilite a los desarrolladores crear aplicaciones a escala global. Reactor está dando respuesta a esta necesidad.

La plataforma Reactor proporciona un SDK y una API unificados que permiten a los desarrolladores crear aplicaciones interactivas en tiempo real con tan solo unas pocas líneas de código, sin necesidad de gestionar la complejidad de implementar y ejecutar estos sistemas a gran escala.

«Los modelos del mundo real están redefiniendo las capacidades de la IA, pasando de sistemas que generan contenido de forma aislada a sistemas que perciben y responden en tiempo real», afirmó Alberto Taiuti, cofundador y consejero delegado de Reactor. «Estamos construyendo la capa fundamental que conecta los laboratorios de modelos con los desarrolladores que desean crear con ellos. Se trata de impulsar una nueva forma de comunicación; una en la que se generan en directo experiencias que antes eran imposibles, y que cualquiera puede crear y distribuir».

Reactor fue cofundada por Alberto Taiuti, consejero delegado, y Bryce Schmidtchen, director de tecnología, ambos antiguos líderes técnicos de Apple Vision Pro. Taiuti fue cofundador de Luma AI, donde se desempeñó como director de tecnología y desarrolló la infraestructura de una de las plataformas de generación de video y 3D más utilizadas del mundo.

El equipo, más amplio, incluye ingenieros e investigadores de Apple, Netflix, Meta, Google, Adobe, Replicate y Microsoft, con amplia experiencia en gráficos, sistemas en tiempo real, medios interactivos y escalabilidad de infraestructuras de IA.

«Actualmente, los desarrolladores no pueden acceder a los modelos de vídeo en tiempo real debido a la falta de una infraestructura que pueda ofrecerles un soporte fiable», comentó Bucky Moore, socio de Lightspeed. «Alberto, Bryce y su equipo aportan una combinación excepcional de experiencia en sistemas en tiempo real y visión de producto para abordar este problema, y creemos que Reactor está bien posicionado para convertirse en la plataforma fundamental de esta nueva categoría».

Reactor ya está trabajando con socios de los sectores de medios de comunicación y entretenimiento, así como de inteligencia artificial física, y cuenta con una demanda activa por parte de estudios de cine y televisión, y empresas de robótica.

«Cada gran transformación en los medios de comunicación ha sido impulsada por nuevas herramientas que amplían las posibilidades de los creadores», declaró Jeffrey Katzenberg, socio fundador de WndrCo, quien se unirá a Reactor como observador del consejo. «La IA representa un momento transformador, pero la verdadera oportunidad reside en lograr que estas tecnologías sean utilizables a gran escala. Reactor está construyendo la plataforma que permitirá una nueva generación de narración y experiencias interactivas».

Los principales desarrolladores de modelos de mundos están empezando a utilizar Reactor como capa de infraestructura para sistemas en tiempo real. Overworld está aprovechando la plataforma para impulsar el desarrollo de sus modelos de mundos interactivos, demostrando cómo estos sistemas pueden evolucionar desde la investigación hasta convertirse en experiencias interactivas totalmente funcionales.

«Crear modelos del mundo es solo una parte del desafío; lograr que sean utilizables y respondan en tiempo real es igualmente crucial», explicó Louis Castricato, consejero delegado de Overworld. «Reactor proporciona la infraestructura necesaria para que podamos ofrecer estos sistemas a desarrolladores y usuarios, mientras trabajamos para crear un nuevo medio de entretenimiento interactivo en el que realmente se pueda sumergir».

Entre los socios estratégicos de Reactor se encuentra Amazon Web Services (AWS), que será el proveedor de servicios en la nube preferido de la empresa, impulsando la infraestructura informática y el alcance de distribución necesarios para gestionar cargas de trabajo de vídeo generativo en tiempo real a escala global.

«La plataforma de vídeo en tiempo real de Reactor exige una infraestructura de inferencia capaz de funcionar a la velocidad de la interacción, no solo a la de la generación, y AWS es inigualable a la hora de resolver los problemas de latencia, escalabilidad y fiabilidad que requieren estas cargas de trabajo», afirmó Jason Bennett, vicepresidente y director global de Startups y Capital de Riesgo en AWS. «La IA rentable comienza con una inferencia de menor coste. Desde chips diseñados específicamente para este fin hasta servicios de IA flexibles, AWS se encuentra en una posición privilegiada para ayudar a plataformas como Reactor a escalar el vídeo generativo en tiempo real de forma económica para desarrolladores de todo el mundo».

La plataforma está disponible actualmente a través de SDK y API. El precio se basa en el uso y se factura según el tipo de modelo. Los desarrolladores pueden comenzar en reactor.inc.

Acerca de Reactor 

Reactor es la plataforma de desarrollo para vídeo generativo en tiempo real. Su misión es hacer que los modelos del mundo real sean accesibles para desarrolladores de todo el mundo. Reactor cuenta con el respaldo de Lightspeed Venture Partners, WndrCo, Amplify Partners, Sky9 Capital, Abstract Ventures, FPV Ventures y otros inversores, y tiene su sede en San Francisco, California. Para más información, visite reactor.inc.

Contacto para los medios
Ulysses King
[email protected] 

Logo – https://mma.prnewswire.com/media/2986504/Reactor_Logo.jpg

Anish Agarwal Joins as CEO to Fuel Brand’s Continued Growth and Expansion

LOS ANGELES, May 28, 2026 — ‘Ôrəbella, the founder-led fragrance brand founded by Bella Hadid, today announces the closing of its Series A financing led by Silas Capital, with participation from existing investor Celebrands, which incubated the brand in partnership with Hadid. The round marks a significant capital raise to support the brand’s accelerated growth.

The financing marks a defining moment in ‘Ôrəbella’s evolution as the brand enters its next phase of global expansion, building on strong momentum across product innovation, international retail growth, and sustained consumer demand.

At the same time, ‘Ôrəbella announces the appointment of Anish Agarwal as Chief Executive Officer, effective April 13, 2026, as the brand prepares to scale its operational footprint across key international markets while maintaining its creative foundation under Hadid’s leadership.

‘Ôrəbella has grown from a deeply personal creative vision into a distinctive presence within modern fragrance, defined by Hadid’s instinct-led approach to scent creation and the brand’s proprietary bi-phase skin parfum system. Under her direction, the brand has expanded steadily across key markets and retail partners, reflecting both creative consistency and commercial momentum.

‘Ôrəbella was built from a US-based foundation, a full-chain launch across Ulta Beauty doors that remains the brand’s largest account and its commercial center of gravity. From that base, the brand has expanded quickly. It launched Ulta Beauty Middle East where it now holds the #1 fragrance position, entered 500 Douglas doors across 20 countries this past March, and is set to expand further in the second half of the year, with a strategic presence at Selfridges rounding out its UK footprint. Consumer pull has kept pace: JASMINE BLUES, the sixth skin parfum and the brand’s first limited edition, is selling at twice forecast in the US, a clear signal that Hadid’s evolving scent language is creating deeper connection and loyalty with consumers. Soon Jasmine Blues will be available globally. That same momentum now carries ‘Ôrəbella beyond fragrance for the first time, into a Body & Hair Perfume Mist built on the proprietary ‘Orelixir™ bi-phase system and designed for layering and personalization.

Appointing Leadership to Scale Global Growth

Anish Agarwal joins ‘Ôrəbella with 20 years of experience across global beauty and consumer companies, including senior roles at Colgate-Palmolive and L’Oréal, and most recently serving as Chief Executive Officer of T3 Micro. At T3, he led step-change growth, reinvigorated the 20 year old brand and expanded the brand’s presence across specialty retail channels including Ulta Beauty and Sephora. Agarwal will lead ‘Ôrəbella’s next chapter, partnering with General

Manager Alison Romash to drive the brand’s growth.His appointment reflects the next phase of ‘Ôrəbella’s development, combining elevated brand building, creative direction, bringing human-centric innovation with experienced operational leadership to support international scale.

“I was looking for a CEO who truly understands both sides, the discipline it takes to build a global business, and the magic behind creating a world-class experience for our community. Anish embodies both so naturally, and to me, that means everything,” said Bella Hadid, Founder of ‘Ôrəbella.

“I’m honored to join Orebella at such an exciting moment. What Bella has created is truly distinctive, a brand that goes beyond fragrance to capture emotion, individuality, and a genuine connection with its community. From the moment I experienced it, I saw both the strength of that foundation and the significant opportunity ahead. I look forward to partnering with Bella and the team to build on this momentum, building a distinctive brand, scaling strategically, strengthening execution, and bringing Orebella to more people around the world while staying true to what makes it so special.” – Anish Agarwal, CEO of ‘Ôrəbella.

Partnership and Platform for Growth

The Series A was led by Silas Capital, an emerging growth equity and venture capital firm focused on scaling next-generation consumer brands across beauty, wellness, and lifestyle.

“‘Ôrəbella has built a clear and differentiated position in fragrance, supported by strong early performance and a highly engaged consumer base,” said Brian Thorne, Partner at Silas Capital. “Bella’s creative direction, combined with Anish’s experienced marketing and operational leadership, positions the brand strongly for global expansion.”

Celebrands, which partnered with Hadid to incubate the brand from its earliest stage, participated in the round and continues to support the brand’s long-term development strategy.

Founder Vision Remains Central

Hadid remains deeply involved in all aspects of ‘Ôrəbella’s creative and strategic direction, including scent development, formulation philosophy, and brand storytelling. Her approach, rooted in instinct, nature, and emotional memory, continues to define the brand as it scales.

“Nothing about the way I create ever really changes, that part always stays deeply personal to me,” said Bella Hadid. “Ôrəbella has always been a true labor of love, something I’ve nurtured slowly, intentionally, and with so much heart. And now, with the right team and partners around me, I feel like I can continue to grow her into everything she was always meant to be.”

About Orebella

Founded by Bella Khair Hadid, ‘Ôrəbella is redefining fragrance as a skin-loving ritual. Alcohol-free, vegan, and cruelty-free, the brand’s bi-phase skin parfums are powered by the proprietary ‘Ôrəlixir™ base, combining nourishing botanicals, hydrating snow mushroom, and high-grade essential oils. Each shake-and-spray experience invites you to “reveal your alchemy,” merging scent, skin, and self-expression into one transformative ritual.

About Silas Capital

Since 2012, Silas Capital has been an active emerging growth equity and venture capital investor, partnering with next-generation consumer brands to drive revenue growth, profitability, and brand value creation. The firm combines startup, growth equity, and operating experience to provide hands-on strategic support beyond capital deployment. Investments include ILIA Beauty, Makeup By Mario, Violette_FR, Bellroy, DÔEN, Vacation, Business & Pleasure, Malbon, and YSE Beauty.

About Celebrands

Celebrands is a Los Angeles-based investment firm focused on building high-growth consumer brands in partnership with celebrity talent. The firm brings deep operational and investment experience across consumer and media sectors, offering flexible capital, resources, and access to curated talent partnerships to accelerate brand growth and profitability.

Media Contact : [email protected] 

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SOURCE ‘Ôrəbella

Funding will accelerate the company’s expansion as the core data infrastructure for enabling accurate, auditable AI workflows across financial services

NEW YORK, May 28, 2026 — Daloopa, the essential data infrastructure for AI and agentic workflows in finance, today announced it has raised $47 million in Series C funding led by Brighton Park Capital, with participation from Squarepoint Capital, Touring Capital, and Nexus Venture Partners. This funding will accelerate Daloopa’s platform growth as investment firms increasingly move AI systems from experimentation into production workflows, where accuracy and reliability are non-negotiable — and expand the company’s team across engineering, product, and go-to-market.

As AI agents power financial workflows, the limiting factor is whether the systems are grounded in reliable data. In high-stakes use cases like valuation, earnings analysis, and portfolio modeling, even small inconsistencies such as misaligned fiscal calendars or inconsistent metric definitions can significantly impact outcomes.

Before structured data infrastructure, analysts were forced to spend hours manually collecting and entering data from company filings, and validating whether each datapoint was correct. AI tools also face a data accuracy problem as most rely on web-sourced inputs that are not standardized or source-linked, inheriting those inconsistencies and producing outputs that are often unreliable.

Daloopa addresses this by providing structured, source-linked financial data that investors can reliably use. The platform now covers over 5,500 public companies globally, delivers up to 10 times more data points per company than other providers, and each datapoint is linked to its original source for auditability. Investment firms trust Daloopa to power workflows ranging from quarterly analysis and scenario modeling to AI-assisted research and reporting.

“We’re seeing firms move from early experimentation toward deploying AI in real investment workflows, and that changes the requirements entirely,” said Thomas Li, CEO of Daloopa. “It’s no longer enough for models to simply generate answers; they must be accurate and fully traceable. Our focus is on building the data infrastructure that makes that possible, so firms can trust what AI is producing.”

The funding follows a series of recent product and partnership milestones that position Daloopa at the center of the emerging AI investment research stack. The company recently:

• Expanded access to its data through MCP connectors with OpenAI’s ChatGPT, Anthropic’s Claude, Perplexity, and Rogo – bringing structured financial data directly into the tools analysts already use
• Published a benchmark study showing AI agent accuracy improved up to 71 percentage points, when grounded in structured, auditable financial data versus web-based retrieval
• Added new platform capabilities, including programmatic access via API, as well as cloud-native delivery via Snowflake, Databricks, and AWS S3.

Daloopa is also introducing a Partner API, unlocking third party product use cases. The new offering enables select partners and startup developers to leverage best-in-class financial data to build AI workflows and to reference within their product suite.

Together, these developments underscore a broader shift in the market: the bottleneck in AI-driven finance is not model intelligence, but data infrastructure.

“Daloopa is solving one of the most consequential data challenges in financial services,” said Tim Drager, Partner at Brighton Park Capital. “As AI becomes embedded in financial decision-making and core investment workflows, the firms that succeed will be those with the strongest data foundations. Daloopa has built exactly that and is already trusted by over 160 financial institutions, which speaks to both the quality of the platform and the urgency of this problem. We are thrilled to partner with Thomas and the team as they continue to define this category.”

Brighton Park Capital was supported by Special Advisor, Phil Hadley, former CEO and Chairman of Factset in their evaluation of Daloopa.  

That momentum is also reflected in how investment firms are engaging with Daloopa. A growing number of customers are already using the platform to operationalize AI in production workflows, and in some cases, firsthand experience with the technology has also led to investment conviction.

The company has also continued to scale rapidly, doubling revenue over the past year while expanding coverage and deepening integrations across the AI ecosystem. As firms push toward greater automation, Daloopa is becoming a core part of the infrastructure that enables AI and agentic workflows in financial services.

About Daloopa
Daloopa is the financial data layer powering the finance ecosystem with the most accurate and comprehensive data. Its proprietary platform sources, structures, and distributes this historical financial dataset covering 5,500+ public companies globally. Analysts at the world’s top investment firms trust Daloopa’s workflow solutions to save valuable time and accelerate their decision making. Daloopa also provides the critical AI data infrastructure that underpins the best financial agents and is trusted by the world’s most preeminent AI companies.

For more information or to request a demo, visit daloopa.com.

About Brighton Park Capital
Brighton Park Capital is a New York-based investment firm focused on entrepreneur-led, growth-stage software, healthcare and tech-enabled services companies. The firm invests in companies that provide highly innovative solutions in partnership with great management teams. Brighton Park brings purpose-built, value-add capabilities that match the unique requirements of each of its companies. For more information about Brighton Park Capital, please visit www.bpc.com.

Media Contact
Christina Scott
Vice President of Marketing
[email protected]

SOURCE Daloopa

The round was co-led by Heavybit and Seligman Ventures, and will support the launch of Rote, a local execution layer that makes agent workflows dependable in production.

SAN FRANCISCO, May 28, 2026 — Modiqo, an AI infrastructure company, today announced $3 million in pre-seed funding to help companies turn AI experiments into systems they can actually depend on. The round was co-led by Heavybit and Seligman Ventures, with participation from Irregular Expressions and angel investors.

Most companies have discovered that getting an AI agent to work once is easy. Getting it to work reliably — every day, across changing models and volatile APIs — is where the trouble starts. Teams spend more time rebuilding workflows that quietly broke overnight than getting new value from AI.

“AI workflows today are like sandcastles. They look impressive when you build them, then wash away the moment anything changes,” said Chetan Conikee, Founder and CEO of Modiqo. “Companies are paying their best people to rebuild the same things again and again. Rote captures what worked the first time and locks it in, so teams can move forward instead of starting over.”

With this funding, Modiqo launched Rote, a tool that watches what an AI agent does when it succeeds, then turns that success into a reliable, repeatable process the company owns. Rote helps teams:

• Make AI work the same way every time — no more surprises when a model, APIs or system updates
• Plug into the tools you already use — without expensive engineering work
• Cut AI costs significantly — by reusing proven workflows instead of paying for the AI to figure them out from scratch each time
• See exactly what’s happening — what ran, when, and what it cost

“The industry is quickly realizing that building capable AI agents is only part of the challenge, operating them reliably at scale is the harder problem,” said Umesh Padval, Managing Partner, Seligman Ventures. “Modiqo is building a critical foundational AI infrastructure layer that enables teams to deploy AI workflows reliably at a fraction of the token cost. I am excited to partner with Chetan again to build a successful company.”

“Today’s AI agents are impressive in the demo and unreliable in production,” said Joseph Ruscio, General Partner at Heavybit. “The deeper problem isn’t agent capability — it’s that every agent run is effectively a one-off chat log rather than an artifact that can be proven and iterated on. Teams pay the same rediscovery tax over and over, and the abstractions emerging around them weren’t built to survive change. Modiqo’s Rote captures what worked the first time and turns it into deterministic code — cutting token usage, reserving inference for the parts that genuinely need it, and reining in the context bloat plaguing today’s agent stacks. Chetan and his team are building the execution layer agents need to graduate from experiment to production infrastructure, and Heavybit is proud to back them from Day 0.”

“Every serious team running agents is hitting the same wall: reliability, cost, and reproducibility,” said Jean Sini, founding partner at Irregular Expressions. “Modiqo is the first team I’ve seen attack all three at the execution layer rather than the prompt layer.”

To learn more and request a demo, please visit: https://www.modiqo.ai/

About Modiqo

Modiqo is building the infrastructure layer for reliable AI agent workflows. Its platform, Rote, enables teams to move beyond one-off success by turning working executions into reusable, repeatable processes. Designed for organizations deploying AI across real-world operations, Modiqo helps teams reduce manual rework, improve consistency, and scale workflows with confidence.

SOURCE Modiqo

Garner partners with almost 800 leading companies, who see an average 12 percent reduction in annual healthcare spend

NEW YORK, May 28, 2026 — Garner Health, a leading digital platform that helps patients find the best healthcare providers using better data and smarter financial incentives, has closed a $100 million Series E round, led by Index Ventures with participation from existing investors including Kleiner Perkins, Redpoint, Thrive, Sequoia, Founders Fund, and Kaiser Permanente Ventures. The round brings Garner’s valuation to $2.74 billion.

The round reflects growing demand from employers, health plans, and health systems alike for better ways to help Americans find high-quality doctors while reducing healthcare costs. Garner partners with almost 800 customers, including USA Today, Paylocity, and the University of Oklahoma.

Garner’s gross annual recurring revenue is approximately $200M, and has more than doubled for five years in a row.

Alongside the financing, the company recently conducted a second tender offer for employees. 

“Healthcare doesn’t change through incremental tweaks—it changes when consumers finally have the information and incentives they need to make better decisions about their care,” said Nick Reber, Garner Health CEO. “Our mission at Garner is to fundamentally realign the system around quality by empowering people to choose the doctors who deliver the best outcomes. When you give consumers the right data and align incentives around better care, the entire healthcare system will change for the better.”

“The American healthcare system pays doctors to do things to you, not for you. Garner is quietly fixing that,” said Jahanvi Sardana, Partner at Index Ventures. “By using AI to make physician quality measurable for the first time, they’ve built the market mechanism healthcare always needed – one where employers, hospitals, and patients can finally see who delivers better outcomes, and the system rewards them for it. It’s one of the most important applications of AI in healthcare today.”

Better healthcare at lower prices is a universal need from every American

The single most important decision in healthcare is which doctor patients see. But historically, people rarely have reliable information about which providers consistently deliver the best outcomes.

Garner is changing that.

Garner’s platform analyzes billions of healthcare data points to identify the providers who deliver the best results and then aligns incentives so employees and their families can access those doctors more easily.

When members choose high-performing providers through Garner, employers cover most or all of their out-of-pocket costs—leading to better care and lower costs for employees. Importantly, the result is also lower overall healthcare spending, as these top-performing doctors are more likely to follow the latest medical guidelines, avoid unnecessary procedures, and help patients get healthy faster.

Archer-Daniels-Midland, a leading global agriculture company with over 44,000 employees, has partnered with Garner to transform their benefits program. “At ADM, we’re committed to creating a culture of care where our employees feel supported in every aspect of their wellbeing,” said Molly Strader Fruit, ADM’s VP of Total Rewards. “Navigating healthcare shouldn’t add stress to already busy lives, and Garner has been an important partner in helping us remove that friction, connecting our people to high-quality, eligible providers and making care more accessible. Together, we’re helping ensure our employees can focus on what matters most.”

Garner is leveraging AI to help more than 2.5 million people get better care

Garner’s AI strategy operates on two powerful fronts: scaling the measurement of clinical quality and transforming the member experience.

Behind the scenes, the newly developed Garner Research Agent represents a massive step forward in the ability to quickly and accurately measure and understand clinical performance at scale. This advanced AI is built to automatically review the latest medical literature and translate it into sophisticated algorithms that parse the quality and efficiency of every doctor in the country. By continuously integrating cutting-edge medical research and Garner’s longitudinal patient data, the Research Agent ensures Garner’s clinical metrics remain the most rigorous and up-to-date in the industry.

On the member-facing side, the recently launched Garner Assistant provides a new way for users to effortlessly navigate their care. Serving as a one-stop shop, the Assistant helps members handle many of the most common (and laborious) healthcare tasks, including:

• Finding high-quality doctors
• Viewing appointment availability and booking visits
• Understanding health plan and benefit details
• Checking claims, payments, and reimbursement status
• Getting guidance on how to make the most of their healthcare coverage

As new AI tools flood the market, employers and employees alike need to know that not all technologies are created equal. Both the Research Agent and the Garner Assistant are powered by Garner’s industry-leading claims database—covering over 60 billion medical records from 320 million patients—alongside over 550 proprietary clinical metrics. This infrastructure allows Garner to identify the best providers in the nation with unparalleled precision, while the company’s novel approach to incentives drives more than 46% of eligible members to use the platform.

Together, these AI innovations streamline and enhance the member experience while remaining rooted in the evidence-based infrastructure that drives meaningful outcomes for Garner’s customers and their employees.

What’s Next

Demand for Garner continues to grow as employers search for real solutions to rising healthcare costs. At the same time, the company has inked partnerships with leading healthcare providers including Mercy, Atlantic Health, Teladoc, and Marathon Health. These providers use Garner’s data-driven tools to drive improved performance, for example improving quality in their practice and identifying the highest-performing specialists for referrals.

The new infusion of capital will allow Garner to continue to expand its provider quality platform, scale AI-powered product innovation, and bring Garner to millions more members.

About Garner Health Garner Health is a technology company on a mission to transform the healthcare economy and deliver high-quality and affordable care for all. Garner uses one of the nation’s most robust medical datasets – covering over 60 billion medical records – to identify the best doctors in the nation. Garner then creates meaningful financial incentives for patients to see these providers. The result: employees pay on average 80% less out-of-pocket to see the best doctors, while employers see an average 12% reduction in total healthcare spend in the first year alone. Garner has almost 800 clients and partners with some of the largest employers, health plans and providers in the country. For more information, visit www.garnerhealth.com.

Media Contact: [email protected]

SOURCE Garner Health Technology

Silicon Road Ventures leads latest investment round as Rep AI expands its unified AI platform designed to improve conversion, customer experience, and operational efficiency

NEW YORK and TEL AVIV, Israel, May 28, 2026 — Rep AI, an AI platform purpose-built for ecommerce brands and online retailers, today announced it has raised $6.2 million in strategic follow-on funding. The round was led by Silicon Road Ventures, with participation from Osage Venture Partners, Flashpoint Venture Capital, and strategic investor Zendesk.

This latest raise marks the second tranche of Rep AI’s funding in approximately 20 months, building on the company’s initial $8.2 million Series A round announced in August 2024. The new capital will accelerate product innovation, expand market reach, and support enterprise growth as Rep AI strengthens its position in the evolving ecommerce AI sector.

Rep AI’s platform helps brands unify customer engagement across the full shopping journey – from identifying shopper intent before purchase to improving conversion and streamlining post-purchase support. By consolidating fragmented AI and customer experience tools into a single platform, Rep AI addresses growing demand for more efficient, revenue-focused ecommerce operations.

“ecommerce brands are increasingly overwhelmed by disconnected technology stacks that create operational silos and missed revenue opportunities,” said Yoav Oz, co-founder and CEO, Rep AI. “This funding further validates our vision of building a unified AI operating system for ecommerce – one that helps brands better understand shopper behavior, improve conversion, and deliver stronger customer experiences from first interaction through long-term loyalty.”

“The industry is moving beyond isolated AI tools toward integrated systems that can influence the entire customer journey across ecommerce,” said Shauli Mizrahi, co-founder and Chief Technology Officer, Rep AI. “Our focus has always been on building an infrastructure that drives measurable business outcomes while simplifying how brands deploy and scale AI.”

As enterprise AI adoption accelerates, investors are backing platforms that can move beyond fragmented experimentation and deliver scalable business value. According to McKinsey’s 2025 State of AI report, 78% of organizations now use AI in at least one business function, reflecting a significant shift from experimentation to operational deployment. However, many organizations continue to face challenges tied to siloed AI systems and fragmented implementations – creating demand for more unified, enterprise-grade platforms.

“Brands are seeking scalable, revenue-driving agentic AI infrastructure rather than isolated point solutions,” said Sid Mookerji, Managing Partner at lead investor, Silicon Road Ventures. “Rep AI is emerging as a leader in ecommerce’s fastest-growing technology categories by replacing fragmented systems with a more cohesive, intelligent platform.”

Zendesk’s strategic investment represents more than just capital – it signals validation from one of customer experience technology’s most influential companies and reinforces the growing convergence of customer service, sales, and revenue generation.

“A great retail experience feels like a knowledgeable sales concierge, one that asks the right questions to understand your needs, knows the products inside and out, and can help with everything from discovery to returns. True AI integration in retail requires more than a chatbot; it requires a deep understanding of shopper behavior and product data. Rep AI’s platform demonstrates how behavioral AI can bridge the gap between site visits and completed purchases, offering a personalized concierge at scale. We’re pleased to support the team as they continue to refine the intersection of CX and commerce,” said Adrian McDermott, CTO, Zendesk.

About Rep AI

Rep AI is the AI operating system for ecommerce — a single agentic platform that works across the full customer journey, from behavioral intent detection on arrival through personalized sales guidance, conversion optimization, and post-purchase support. Built on proprietary behavioral AI and large language models, Rep AI proactively engages shoppers at the moment of highest intent, ingests each brand’s voice and product knowledge, and delivers shared shopper intelligence across marketing, CX, and sales teams simultaneously. Customers including Proof Wallets, VIBAe, K2, Unclaimed Bagage, Satya Jewelry, HigherDOSE, OLLY, Cloth & Paper, Bikes Online, and NutraBio use Rep AI to drive compounding revenue growth. Rep AI is backed by Silicon Road Ventures, Osage Venture Partners, Flashpoint Venture Capital, and Zendesk.

For more information, visit hellorep.ai.

Media Contact:
Erin Farrell Talbot
917-232-9309
[email protected]

SOURCE Rep AI

$1.3 billion Senior Secured Notes offering marks the first bond offering of its kind in the data center sector to support the simultaneous development of multiple sites serving different customers

NEW YORK, May 28, 2026 — Edged US today announced it has secured nearly $2 billion in cumulative financing year-to-date, accelerating the company’s expansion of sustainable, AI-ready digital infrastructure across key U.S. markets in Atlanta, Chicago and Council Bluffs.

Central to this milestone is the successful pricing of a $1.3 billion Senior Secured Notes offering in April 2026 – the first bond offering of its kind to support the simultaneous development of multiple sites serving different customers. The offering supports the development of two large-scale build-to-suit data centers at the Edged campuses in Atlanta and Chicago under long-term leases. Morgan Stanley served as Lead Left Bookrunner.

The year-to-date financing execution also includes a construction loan supporting the continued development of Edged US’ 200 MW campus in Council Bluffs, Iowa, with TD Securities and Crédit Agricole CIB serving as Coordinating Lead Arrangers.

“Demand for high-performance digital infrastructure continues to accelerate at an unprecedented pace, and this financing momentum positions us to move quickly and strategically alongside our customers,” said Bryant Farland, Chief Executive Officer of Edged US. “We are proud to continue expanding our platform with infrastructure designed to support the next generation of AI and cloud growth while remaining deeply committed to efficiency, sustainability, and responsible long-term development.”

The milestone reflects strong market confidence in Edged US’ differentiated approach to digital infrastructure, which combines ultra-efficient design, waterless cooling technology, and scalable deployment capabilities purpose-built for AI training and inference workloads. The company’s ThermalWorks cooling technology consumes zero water in daily operations, and its data centers deliver a targeted design PUE of 1.15 portfolio-wide with liquid-to-chip cooling capabilities for next-generation compute environments.

Edged US continues to expand its footprint in strategic metro markets across North America, with operational and in-development campuses spanning Atlanta, Chicago, Columbus, Council Bluffs, Dallas, Des Moines, Kansas City, and Phoenix.

“As the market continues evolving, customers increasingly need partners that can deliver capacity quickly, efficiently, and responsibly,” added Farland. “This financing milestone underscores confidence in our ability to execute and continue building the infrastructure that powers the future of the digital economy.”

About Edged US

Edged US develops and operates ultra-efficient, AI-ready data centers for hyperscalers, technology providers, and large enterprises across major U.S. markets. With a gigawatt-scale platform expanding across North America, Edged US provides scalable, sustainable infrastructure that meets today’s AI demand and tomorrow’s growth. For more information, visit www.edged.us.

SOURCE Edged

Led by Battery Ventures, the round will scale Triomics’ AI platform across cancer centers nationwide and deepen life-sciences partnerships

NEW YORK, May 28, 2026 — Triomics, an oncology AI company helping cancer centers operationalize complex clinical information, today announced it has raised $22 million in Series B financing led by Battery Ventures, with participation from existing investors Nexus Venture Partners, Lightspeed and Y Combinator, alongside strategic backers Oncology Ventures and Precision Health Informatics, a wholly-owned subsidiary of Texas Oncology. This round brings Triomics’ total funding raised to date to more than $36 million.

The new capital will be used to accelerate adoption across health systems, oncology networks and life sciences organizations; grow Triomics’ AI/engineering and forward-deployed teams; and advance the company’s AI agents for clinical care and research. Triomics is already working with leading cancer centers like Memorial Sloan Kettering Cancer Center (MSK), MD Anderson, Yale Cancer Center and its partner Smilow Cancer Hospital, and Mount Sinai Tisch Cancer Center, as well as some of the nation’s largest community oncology practices, such as Texas Oncology.

“Oncology faces an information burden at a scale legacy systems were never designed to handle, and that burden can stand in the way of better outcomes,” said Sarim Khan, co-founder and CEO of Triomics. “Clinicians, research coordinators and medical assistants are working against records that have become too large and too dynamic to process manually. We built Triomics to turn that complexity into usable intelligence inside the workflow, purpose-built for oncology. This financing allows us to bring that infrastructure to many more cancer centers and improve care for cancer patients.”

Beyond provider workflows, Triomics has built a broader oncology network that helps life- sciences organizations with their critical clinical-trial operations. The company believes the combination of deep provider workflow integration across cancer centers, combined with oncology-specific AI infrastructure, creates a durable foundation for the next generation of care and research applications.

Transforming Oncology’s Data Overload into Actionable Intelligence
Cancer care is no longer constrained by a lack of information; it’s limited by the ability to use the data that already exists. A single patient history can span hundreds of narrative-heavy clinic notes, pathology and radiology reports, biomarker results, outside records, prior treatments, and ever-evolving trial criteria and guidelines. Yet the workflows required to make that information usable have remained overwhelmingly manual.

“Oncology is the hardest place to build AI, yet the most important,” said Hrituraj Singh, co-founder and CTO of Triomics. “Getting a model to reason reliably across thousands of pages of notes, pathology, imaging and evolving trial criteria, and show its work, is what separates a demo from software that clinicians actually use. We’ve spent four years building that foundation and this round lets us push even further.”

Founded in 2021 by Khan and Singh, Triomics is building a platform that uses AI agents to read the full longitudinal patient record and converts unstructured information into structured, explainable outputs. Then, it delivers those insights directly into clinical and operational workflows. Unlike lightweight summarization tools, every output is source-backed and verifiable inside the clinician’s workflow. The platform supports proactive clinical trial matching, pre-visit chart review and preparation, and oncology data abstraction for registry, quality improvement and operational use cases.

Cancer centers rely on Triomics to expand trial access, reduce the burden of manual chart review, improve visit preparation and generate higher‑quality structured data for research and operations. Published results show that users of the company’s product have increased trial matches by 40% and trial enrollments by more than 30%, while also reducing chart review times by 67%. The platform has received peer-review validation in Nature Digital Medicine and was presented at ASCO, underscoring growing demand for AI that can operate reliably on the full patient record.

“We are excited to partner with Triomics, our selected solution for oncology clinical trial matching, to extend our collaboration to an AI-enabled method for cancer registry abstraction and reporting. This activity is labor intensive, subjective and challenging to complete in a timely manner. Our goal is to produce autonomous chart abstraction of clinical registry quality that can be rapidly reviewed and finalized for reporting by human registrars to comply with mandatory state, federal and professional society reporting obligations,” said Lee Schwamm, MD, chief digital health officer, Yale New Haven Health System, and associate dean, Digital Strategy & Transformation, Yale School of Medicine.

“Triomics built what oncology has always needed: AI infrastructure that actually works on the full patient record,” said Brandon Gleklen, principal at Battery Ventures, who is joining the Triomics board of directors. “We are live at some of the top cancer centers and demonstrating measurable outcomes—faster enrollment, less manual chart review—and the same underlying AI infrastructure already powers multiple distinct workflows with no redundant integrations. That kind of platform leverage, inside a customer base this strong, is rare at this stage.”

About Triomics
Triomics is an oncology AI company building the infrastructure that turns complex, longitudinal cancer records into structured, explainable intelligence. The company’s platform supports patient trial matching, pre-visit chart prep, and oncology data abstraction, helping care teams, research teams, and health systems act faster on the information already in the chart. Headquartered in New York, Triomics is backed by Battery Ventures, Lightspeed, Nexus Venture Partners, Y Combinator and Oncology Ventures. For more information, visit www.triomics.com.

SOURCE Triomics