The viral clean-label french fry brand grew over 1,100% in 2025 and is on track to nearly quadruple in size again in 2026 as it launches nationwide at Target, expands at Whole Foods Market, and opens new retail doors.

WASHINGTON, May 7, 2026 — Jesse & Ben’s, the seed-oil-free french fry brand redefining the frozen potato category, announced the close of an oversubscribed Series A financing round led by Greycroft. The capital will fuel the brand’s continued retail expansion, supply chain investment, and leadership team build-out as the company scales nationally.

The round was led by Greycroft, with investment from the firm’s consumer brands fund, championed by Partners Brian Bustamante-Nicholson and Eric Ryan. Ryan, co-founder of Method and Olly, will join the company’s board. Jesse & Ben’s reflects Greycroft’s focus on backing founder-led consumer brands with cultural momentum that are reinventing legacy categories.

“Jesse and Ben are building exactly the kind of consumer brand we look to support, one that brings new energy to a large, established category,” said Brian Bustamante-Nicholson, Partner at Greycroft. “We believe their growth reflects strong consumer demand for simpler, better ingredients, and we’re excited to support the team as they continue to scale.”

Alongside lead investor Greycroft, the round saw new participation from Rich Products Ventures, the corporate venture arm of the global, family-owned food company, Rich Products, along with existing backers Willow Growth Partners, Sling Ventures, Midnight Venture Partners, and grt sht ventures.

Additional investors in the round include leading consumer operators and founders, including Andrew Abraham (Orgain / Humble Growth), Carter Comstock (Freshly / Comstock Growth), Allison and Stephen Ellsworth (Poppi), Nic Jammet (Sweetgreen), and Jordan Brown (Hu Chocolate), as well as creator-investors including Lauryn and Michael Bosstick (Dear Media / The Skinny Confidential) and many more.

“Jesse and Ben’s is doing exactly what we look for in the future of food: taking a massive, legacy category like frozen fries and completely reinventing it with a clean-label, brand-led approach. Their incredible performance and the way they’ve captured the cultural moment around better-for-you ingredients in under two years is incredible. We are thrilled to support the team as they scale this disruption nationwide,” said Brian Bernstein, Principal at Rich Products Ventures.

Jesse & Ben’s was founded by Jesse Konig and Ben Johnson, two restaurant operators turned CPG founders who launched their namesake brand on retail shelves in June 2024. The brand has scaled at a pace rarely seen in frozen food. Jesse & Ben’s grew over 1,100% in 2025 and is on track to grow another 300-400% in 2026.

The brand was put on the map through early nationwide launches at Sprouts Farmers Market and Whole Foods Market. Momentum continues to accelerate following a nationwide rollout at Target, regional rotations at Costco, and additional retail launches underway. Jesse & Ben’s has become the #1 brand in the frozen potato category at multiple retailers, surpassing legacy competitors and private label options.

A majority of the funding from the round will go toward scaling supply chain capacity to keep pace with national demand, supporting continued retail expansion across conventional grocery, club, and mass channels, and building out the team. Jesse & Ben’s recently brought on Audrey Burger (Primal Kitchen / Kraft Heinz) as Founding President, alongside other key hires from notable brands such as Siete, to help guide the brand in this new phase of growth.

Jesse & Ben’s launched with three restaurant-quality varieties made from just russet potatoes, 100% grass-fed beef tallow or avocado oil, and seasonings, bringing an elevated french fry experience into homes nationwide. The company is expanding the lineup in 2026 with new launches, including:

• Sweet Potato Tallow Fries (just sweet potatoes, 100% grass-fed beef tallow, and sea salt) expands from an exclusive test-launch at Sprouts to multiple national retailers.
• Crinkle Cut Beef Tallow Fries will be joining the core lineup this summer at select retailers.

Both products reflect Jesse & Ben’s commitment to giving people delicious versions of their favorite all-American foods with minimally-processed ingredients:

“When we started Jesse & Ben’s, the goal was simple: turn junk food into joy food. Two years in, we’re watching real people pick our bag over the brands they grew up with, and we’re outselling legacy brands on shelves we never imagined we’d be on. This round gives us the firepower to keep launching products people actually want, to scale our supply chain, and to bring in the best operators in CPG. We couldn’t have asked for a better group of partners to do it with,” said Jesse Konig, Co-Founder & CEO, Jesse & Ben’s.

About Jesse & Ben’s
Jesse & Ben’s is a premium frozen french fry brand founded in 2024 by co-founders Jesse Konig and Ben Johnson. After a decade running Mid-Atlantic restaurant brand Swizzler, the two set out to fix what they saw as the most overlooked category in the grocery store: frozen fries. Every Jesse & Ben’s product is made with simple, real ingredients, zero seed oils, and the kind of craft you’d expect from a chef-run kitchen, not a frozen aisle. Today, Jesse & Ben’s products are available in more than 3,500 stores nationwide, including Whole Foods Market, Sprouts Farmers Market, Target, Thrive Market, Fresh Thyme, MOM’s Organic Market, and hundreds of independent retailers. Real Fries, Real Guys. Learn more at jesseandbens.com.

SOURCE Jesse & Ben’s

Institutions can finally license rare, high-fidelity datasets directly to AI builders, with no custodial broker in the data path

ST. PAUL, Minn. and HOUSTON, May 7, 2026 — KnectIQ Inc., pioneer of the programmable sovereign trust fabric, and VeridatAI Inc., the marketplace for compliant data exchange, announced a Strategic Partnership to deliver Custody-Free Data Exchange Infrastructure: a new category in which institutional datasets move directly from owner to buyer, never held by a custodial intermediary. VeridatAI will integrate KnectIQ’s patented SelectiveTRUST® as the trust fabric of its custody-free marketplace. Neither company sits in the data path.

The broken convention

Every prior marketplace has required data to enter the operator’s environment to be licensable. That assumption produces outcomes institutions cannot accept: IP exposure, GDPR and CCPA risk, copies in third-party clouds, provenance claims that won’t survive legal challenge. Clinical, genomic, financial, and research datasets remain unlicensed while AI developers scrape lower-fidelity alternatives. Incumbents cannot solve this; their business models require custody to function.

The new category

VeridatAI orchestrates discovery, licensing, agreements, and cryptographic provenance watermarking. SelectiveTRUST establishes a device-rooted, single-use trust binding for each authorized exchange. Data moves directly from owner to buyer, governed but never touched by the trust fabric above. Trust is ephemeral and provable, not persistent and assumed.

What this unlocks

The datasets that will define the next decade of AI sit inside hospitals, banks, research universities, and industrial systems. Under custodial architectures, owners will not release them, forcing AI developers onto scraped or synthetic substitutes. Custody-Free Data Exchange Infrastructure changes the economics: owners license data directly to AI developers, with provenance that survives downstream use.

The architecture works because of a specific dependency. Anthropic’s Mythos System Card documents AI agents that autonomously discover zero-day vulnerabilities and chain exploits to escape sandboxes, defeating conventional cryptographic and identity stacks. Any marketplace built on a conventional trust fabric inherits that exposure. SelectiveTRUST does not: KnectIQ’s globally patented methods architecturally prevent agents from forging a binding. The unlock and the immunity are the same architectural decision.

Commercial availability

The platform is available to institutional partners through VeridatAI’s beta, with general availability in Q3 2026. Initial deployments span healthcare, financial services, and advanced manufacturing.

“The world’s most valuable data has been held back by the assumption that licensing requires custody,” said Ken Morris, Founder and CEO of KnectIQ. “SelectiveTRUST and VeridatAI break that assumption. Without a trust binding, no communication channel exists: no binding, no communication, no access, no execution. The data AI’s next decade needs can finally move on terms owners accept.”

“The datasets that will define AI’s next decade sit inside universities, hospitals, banks, and factories,” said Michael McLaughlin, CEO and Co-founder of VeridatAI. “Custody-Free Data Exchange Infrastructure removes the broker from the data path. Data moves directly from owner to buyer, with every exchange cryptographically provable and provenance-watermarked. We give institutions a way to turn proprietary data into a liquid asset without turning it into a liability.”

About KnectIQ

KnectIQ Inc. pioneers the programmable sovereign trust fabric category. Its patented SelectiveTRUST® technology establishes device-rooted, ephemeral, quantum-resistant trust relationships that protect data, networks, and AI systems across domains and mission environments. Headquartered in St. Paul, Minnesota. www.knectiq.com.

About VeridatAI

VeridatAI Inc. operates the global marketplace for compliant data exchange, powering the AI economy with verified, high-fidelity datasets and a zero-custody Trust Infrastructure. Headquartered in Houston, Texas. www.veridatai.com.

Media Contacts

KnectIQ Inc., Ken Morris, [email protected], 651-460-9054
VeridatAI Inc., George Kamide, [email protected], 434-327-7159

SOURCE KnectIQ Inc. and VeridatAI Inc.

24/7 indoor golf simulator franchise with 65+ territories nationwide will deploy new capital toward headquarters expansion, franchisee- and consumer-facing technology, and continued national growth.

COVINGTON, Ky., May 7, 2026 — Another Nine, the 24/7 indoor golf simulator franchise redefining how people access and experience premium golf, today announced the closing of a $2 million investment round funded entirely by the company’s existing investor base.

The capital will be used to expand Another Nine’s Northern Kentucky-based headquarters team, accelerate development of the company’s franchisee- and consumer-facing technology — including its proprietary A9OS software — and support the continued buildout of its national franchise network.

Another Nine has signed more than 65 franchise territories across 16 states since awarding its first territory in July 2025. The brand operates two company-owned locations in Cincinnati, with the first franchisee-owned locations slated to open later this spring. The company reported operational profitability in the first quarter of 2026.

“Beyond capital, our existing investors bring decades of franchise experience and chose to keep building with us — we appreciate their conviction and alignment with our vision,” said Ethan Grob, Co-Founder and CEO of Another Nine. “With this capital, our focus remains the same: building a brand that golfers of all skill levels love, and supporting our franchisees in delivering that experience everywhere.”

Another Nine’s franchise model is built around all-private simulator suites, 24/7 autonomous access requiring no onsite staff, and Trackman gameplay in every suite. Guests reserve by the hour without a required membership, with optional membership tiers, leagues, lessons, and group events available. The proprietary A9OS platform handles bookings, memberships, access and facility management, and reporting.

Founded in 2023 and headquartered in Covington, KY, Another Nine opened its first company-owned location in the Columbia-Tusculum neighborhood of Cincinnati in March 2024 and its second in Montgomery in February 2026. The company is not disclosing investor names or valuation terms.

About Another Nine 

Another Nine is a 24/7 indoor golf simulator franchise born in Cincinnati, headquartered in Covington, KY. With all-private simulator suites, Trackman gameplay, and proprietary franchise technology, Another Nine is redefining how players experience premium golf — on their terms. The brand has signed more than 65 franchise territories across 16 states. Learn more at anothernine.com.

Media Contact 

Ethan Grob, Co-Founder & CEO – 5132905826, [email protected] 

SOURCE Another Nine

GALWAY, Ireland, May 7, 2026 — FotoNation^® LTD., a Galway-based company, announced it has closed its Pre-A round led by Enterprise-Ireland and Silicon Gardens, with participation from other notable Angels.

This capital will accelerate FotoNation’s mission to develop its TriSilica^® product: an ultra-low-power, perception-AI chip. Specifically, the funds will be used to progress the completion of the MPW prototype, TS-210.

” This investment, from a leading European VC as well as from the Irish Government, marks a pivotal moment for our company. On behalf of the management team, I thank our investors for their shared conviction in our long-term potential, cementing FotoNation as a leader in the European AI hardware race”, said Petronel Bigioi, CEO, FotoNation.

Since its Q3/2024 reincarnation, FotoNation, with many of its original team members, engaged in numerous design wins and reclaimed its market position as a leader in optimized ultra-low power perceptual-AI solutions. Investor support validates market demand for a dedicated hardware sensor-processing chipset.

“FotoNation is building ultra-efficient, hardware-accelerated edge AI that fuses vision and multimodal sensing on device,” said Gregor Rebolj, Managing Partner, Silicon Gardens. “Their technical depth and focus on privacy-aware experiences position them to help define the post-smartphone era of AI companions, from Physical AI to perceptual intelligence.”

Enterprise Ireland, the Irish government’s enterprise development agency, co-led the round, further cementing FotoNation’s commitment to the West of Ireland.

Leo McAdams, Head of Advanced Manufacturing and Lifesciences at Enterprise Ireland said, “Enterprise Ireland is proud to support FotoNation’s next phase of growth, reinforcing Ireland’s advanced technology and semiconductor ecosystem. This investment underscores our commitment to helping ambitious Irish companies scale globally, create high–value jobs across all regions, and build long–term economic resilience. We look forward to working closely with FotoNation as it seeks to expand internationally.”

About FotoNation:
FotoNation Ltd. is an Irish AI  company headquartered in Galway, with a development center in Brașov, Romania. FotoNation designs silicon and IP built around a single conviction: eliminate unnecessary data before inference begins. Its TriSense™ IP core brings together neural ISP, sensor fusion, and  AI for perceptual cognition under extreme power constraints. Its TriSilica® chip family adds industry-first high-capacity bonded memory, translating that architecture into production silicon for devices that perceive, adapt, and act. FotoNation’s technology is embedded in more than 4 billion products worldwide, contributing to dozens of top-tier tape-outs across the consumer and edge AI markets. For more information, please visit: www.fotonation.com.

About Enterprise Ireland: 
Enterprise Ireland is the Irish Government agency that works with Irish enterprises to help them start, compete, scale and connect and win export sales in global markets. Enterprise Ireland partners with entrepreneurs, Irish businesses, and the research and investment communities to develop Ireland’s international trade, innovation, and competitiveness. In this way, we support sustainable economic growth and regional development and help create and sustain employment in Ireland.
www.enterprise-ireland.com

About Silicon Gardens: 
Silicon Gardens is a venture capital firm, run by entrepreneurs who have built and scaled their own companies. They are  dedicated to backing the next generation of high-growth innovative technology businesses. Silicon Gardens partner closely with founders to help them build durable, category-defining companies.
https://www.silicongardens.com/

Media Contact:
[email protected]
www.fotonation.com

SOURCE FotoNation

SAN FRANCISCO, May 6, 2026 — Corgi announced today it has raised $160 million in Series B funding at a $1.3 billion valuation, advancing its mission to build the first AI-native, full-stack insurance platform for startups. The company was founded by Emily Yuan and Nico Laqua.

The round was led by TCV, with participation from both existing and new investors including Oliver Jung, Leblon Capital, Kindred Ventures, Repeat VC, Zone 2 Ventures, Audeo Ventures, Quadri Ventures, First Order Fund, Vocal Ventures, Maiora Ventures, Nordstar, Seven Stars Ventures, Hexa Capital, Alpha Square Group, GSBackers, OurCrowd, Alumni Ventures, Global Growth Fund, and other strategic investors.

This financing builds on Corgi’s previously announced $108 million across its seed and Series A rounds, backed by investors including Y Combinator, Kindred Ventures, Contrary, and more. Since receiving regulatory approval in July 2025, Corgi has launched what it describes as the first AI-native, full-stack insurance platform purpose-built for startups. This new funding brings Corgi’s  total amount raised to over $268 million.

The new capital will support the continued expansion of Corgi’s startup insurance products, including broader coverage, deeper distribution, and ongoing investment in the AI systems that power underwriting, claims, and policy operations. The company is also moving into new verticals, beginning with trucking, where it plans to bring faster quoting, more adaptive risk models, and coverage aligned with real-world operations.

“Insurance is one of the largest industries in the world, but it’s still built on infrastructure from centuries ago,” said Emily Yuan, co-founder and COO of Corgi. “We started with property management and are expanding into trucking insurance, payroll, and small business, automating some of the hardest workflows in the real economy.”

Corgi’s long-term vision is to modernize one of the most complex sectors in financial services. Traditional insurance is fragmented across TPAs, MGAs, reinsurers, and carriers, resulting in slow processes, disconnected systems, and delayed decision-making. Corgi is rebuilding this stack from the ground up to enable faster decisions, streamlined operations, and real-time coverage.

“Where other companies might take the boring but safe path, Corgi will always dream bigger, accomplish more, and take more swings for the fences,” said Nico Laqua, co-founder and CEO of Corgi. “We will for sure always be the most passionate, genuine, curious, and ambitious of any company.”

About Corgi
Corgi is an AI-native, full-stack insurance carrier built for startups. As a licensed carrier, Corgi designs and manages insurance end-to-end, using modern infrastructure and AI to power underwriting, policy management, and claims. The company delivers fast, flexible coverage tailored to how startups operate and scale.

Media Contact
Erika Lee
Head of Brand
[email protected]

SOURCE Corgi Insurance

– JuliaHub recauda 65 millones de dólares en su ronda de financiación Serie B y lanza Dyad 3.0, que lleva la IA agencial a los gemelos digitales industriales

Dyad, la primera plataforma de IA agencial del mundo para la ingeniería de hardware, lleva la IA física al diseño y las pruebas de sistemas complejos, reduciendo el tiempo de I+D de meses a tan solo unos días.

CAMBRIDGE, Mass., 6 de mayo de 2026 — Hoy, JuliaHub anuncia el lanzamiento de Dyad 3.0 y una ronda de financiación Serie B de 65 millones de dólares liderada por Dorilton Capital, con la participación de General Catalyst, AE Ventures y el inversor tecnológico y exconsejero delegado de Snowflake, Bob Muglia. Dyad supone un cambio fundamental en la forma en que se diseñan y construyen los sistemas físicos, al incorporar agentes de IA autónomos al diseño y las pruebas digitales de maquinaria industrial. Desde bombas de calor hasta satélites y semiconductores, los equipos de ingeniería pueden reducir los ciclos de diseño, pruebas y construcción de meses a minutos. Varias empresas de la lista Fortune 100 ya están utilizando Dyad y Julia en diversos sectores industriales como el aeroespacial, el gubernamental, el automotriz, el de climatización y el de servicios públicos. 

Daniel Freeman, quien lideró la ronda de financiación Serie B para Dorilton Capital, comentó: “El modelado de sistemas es una de las capas estratégicamente más importantes de la arquitectura de ingeniería nativa de IA, ya que es donde convergen la física, la lógica de control y la IA. JuliaHub ha creado algo extraordinario con Dyad: una plataforma que no solo modela sistemas, sino que los compila, guiando a los ingenieros desde el concepto hasta el código de control de producción en un único entorno. Creemos que JuliaHub tiene el potencial de convertirse en una de las empresas líderes en IA física, y nos enorgullece apoyar al equipo en su rápida expansión hacia el mercado de Dyad”.

El “problema difícil” de la innovación en hardware

La ingeniería física representa uno de los sectores más grandes que aún no se ha beneficiado plenamente de la revolución de la IA. Si bien herramientas como Claude Code, Codex y Gemini han transformado el desarrollo de software, los ingenieros industriales siguen limitados por herramientas obsoletas. McKinsey estima que se necesitará una inversión acumulada de 106 billones de dólares hasta 2040 para satisfacer la necesidad de infraestructura nueva y actualizada. Los ingenieros que planifican y construyen estas actualizaciones necesitan una solución que les permita avanzar al ritmo del software mejorado con IA. Ahí es donde entra Dyad.

Dyad ofrece a los equipos de ingeniería un entorno basado en IA para modelar, probar y validar sistemas industriales: un ejemplo de Claude Code aplicado al mundo físico. Dyad 3.0 se lanza hoy y se basa en Dyad 1.0, lanzado en junio de 2025, y Dyad 2.0, lanzado en diciembre de 2025. Dyad conecta agentes autónomos con simulaciones físicas escalables, controles rigurosos, análisis de seguridad y la capacidad de generar código para sistemas embebidos, uniendo así el software con el mundo real. Ya sea una planta de tratamiento de aguas residuales o un automóvil, ya no se requiere un doctorado para desarrollar gemelos digitales altamente detallados, ajustar controladores para escenarios de implementación especializados e iterar en diseños de hardware para construir la máquina más eficiente desde el principio.

 “No se trata de ayudar a los ingenieros a completar una pequeña tarea a la vez. Se trata de ingeniería automatizada a gran escala, donde los equipos pueden proporcionar una especificación completa a Dyad y este diseña el sistema completo. Especificación de entrada. Diseño de salida”, afirmó Viral Shah, consejero delegado de JuliaHub.

Gemelos digitales con aprendizaje automático científico

Los agentes basados en la nube de Dyad están diseñados para escanear continuamente el conocimiento científico mundial y así mejorar constantemente los modelos. Las pruebas de laboratorio automatizadas con IA se están ampliando para garantizar que los modelos se ajusten a la realidad física. La transmisión de datos combinada con el Aprendizaje Automático Científico (SciML) permite que los modelos evolucionen automáticamente a medida que el sistema aprende del mundo real. El ecosistema y el lenguaje de simulación de Dyad ofrecen una base sobre la cual todos estos aprendizajes se transmiten a los ingenieros para verificar los procesos, determinar si las suposiciones coinciden con los requisitos del cliente y actuar como intermediarios que garantizan la seguridad del producto final. El diseño de Dyad implica que los ingenieros no tienen que escribir cada línea de código para probar millones de diseños, a la vez que les proporciona las herramientas adecuadas para asegurar que los aviones permanezcan en el aire.

Prith Banerjee, vicepresidente sénior de Innovación de Synopsys, comentó sobre la colaboración con JuliaHub: “Dyad está transformando la ingeniería de sistemas al combinar IA científica, modelado automatizado y una potente canalización de compilación en un flujo de trabajo unificado. Integrada con el software de simulación Ansys TwinAI™ de Synopsys, permite crear gemelos digitales híbridos de alta fidelidad al integrar la simulación basada en la física con modelos basados en datos. Lo que antes requería un gran esfuerzo manual ahora se puede realizar de forma mucho más eficiente, acelerando todo el ciclo de vida de la ingeniería digital y redefiniendo cómo se diseñan y validan los sistemas inteligentes definidos por software”.

Dyad implementará la IA para la ciencia en el mundo real

La IA de propósito general no puede garantizar que un modelo obedezca las leyes de la física. En ingeniería física, un error no es un fallo que se pueda corregir; es el colapso de un puente o el incendio de una batería. Esta ha sido la barrera que ha impedido que la IA desempeñe un papel significativo en la ingeniería de hardware, hasta ahora. En recientes pruebas comparativas de agentes para el modelado de procesos químicos, los sistemas LLM generales como Codex, Claude Code (Opus) y Gemini apenas completaron la configuración inicial. Dyad automatizó casi por completo todo el proceso de creación de controladores predictivos de modelos para optimizar el rendimiento de una planta química, una tarea que normalmente llevaría semanas.

 “Se está produciendo una transformación radical en el software de diseño de sistemas de ingeniería, y Dyad está a la vanguardia. Las generaciones anteriores de herramientas no ofrecen la productividad ni la integración prometidas para aprovechar al máximo la IA. Con Dyad, puede modelar la física, desarrollar algoritmos de control con generación automática de código y crear gemelos digitales y modelos sustitutos precisos para el desarrollo rápido de modelos de inferencia de aprendizaje profundo, todo ello gracias a la IA. Dyad opera donde la física se encuentra con el análisis, ¡y los clientes y los accionistas salen ganando!“, afirmó David Joyce, exconsejero delegado de GE Aviation y vicepresidente de GE.

El lenguaje de modelado de Dyad está diseñado específicamente para que los agentes de IA lo comprendan fácilmente. Su lógica fundamental se basa en las leyes de la física, lo que permite a sus agentes razonar sobre cómo se mueven los fluidos a través de las máquinas, cómo la velocidad del viento y la temperatura afectan a los componentes y cómo fuerzas fundamentales como la gravedad dan forma al diseño. Esto produce modelos físicamente válidos en los que los ingenieros pueden confiar. Por ejemplo, en colaboración con Binnies, una empresa con 100 años de experiencia en la gestión del agua, y Williams Grand Prix Technologies, JuliaHub desarrolló un gemelo digital basado en SciML que utiliza solo cuatro entradas de sensores para predecir fallos en las bombas de los sistemas de distribución de agua con una precisión superior al 90 %.

 “Dyad representa un cambio radical para el sector del agua, permitiendo pasar de operaciones reactivas a una toma de decisiones predictiva a nivel de sistema”, afirmó Tom Ray, director de Productos y Servicios Digitales (Gemelos Digitales e IA) de Binnies. “Tiene el potencial de transformar la forma en que las empresas modelan la complejidad del mundo real, predicen fallos y optimizan el rendimiento a diario“.

Únase a nosotros para el evento de lanzamiento Dyad 3.0

Dyad 3.0 se presentará oficialmente en un evento en vivo el próximo mes, el 19 de mayo. Únase a nosotros para ver demostraciones del producto en directo y escuchar a nuestros clientes sobre cómo utilizan Dyad en diversos sectores, desde la industria aeroespacial y la climatización hasta los servicios públicos y la robótica.

Para obtener más información y consultas de los medios, contacte con: [email protected] 

Acerca de JuliaHub

JuliaHub es líder en IA científica y su misión es brindar a quienes abordan los desafíos científicos y técnicos más complejos del mundo herramientas de vanguardia basadas en IA en un entorno seguro y sin interrupciones. La empresa fue fundada en 2015 por los creadores de Julia, el lenguaje de código abierto de alto rendimiento desarrollado en el MIT y utilizado actualmente por más de un millón de desarrolladores en todo el mundo. JuliaHub combina computación matemática avanzada y experiencia en aprendizaje automático para habilitar técnicas de aprendizaje automático científico (SciML), soluciones de gemelos digitales y modelado y simulación de última generación en los sectores aeroespacial, automotriz y otros sectores industriales.

Foto: https://mma.prnewswire.com/media/2970068/Satellite_Photovoltaics_JuliaHub_Dyad.jpg
Foto: https://mma.prnewswire.com/media/2970067/Cooling_circuit_JuliaHub_Dyad.jpg
Logo: https://mma.prnewswire.com/media/2826187/JULIAHUB_Logo.jpg

Backed by AQC Capital, Hidden Layers Capital, Mila, and strategic angel investors, Jetty enables AI agents to run, evaluate, and learn from their own mistakes in production.

MONTREAL, May 6, 2026 – As companies deploy autonomous AI agents, what works in a demo often fails unexpectedly in production. Jetty builds the infrastructure layer to fix this, giving AI systems the ability to run end-to-end workflows, evaluate their own performance, and continuously improve.

“Enterprises need a way to deploy their models with the kind of audit trail required to build trust with their customers. Jetty is solving this critical pain point to allow AI to be reliably deployed.” said Alex Shee with Mila Ventures.

Jetty announces its raise of over $2 million in pre-seed funding led by AQC Capital (David Dufresne) and Hidden Layers Capital (Therence Bois). Strategic investors include Akinox Inc. (Alex Dahl) and angel investors experienced in scaling AI systems at frontier labs like Google and Meta AI.

“Most AI systems today are still fragile – they work in isolation but break under real-world complexity,” said Jonathan Lebensold, Founder and CEO of Jetty. “Jetty gives AI agents a mission, not just a prompt. By combining structured runbooks, isolated execution environments, and rigorous evaluation, we enable systems that can run, assess themselves, and iterate with a human in the loop until they meet a defined quality bar.”

Doina Precup, Professor at McGill University and CIFAR AI Chair, agrees: “As AI systems become more autonomous, ensuring they behave reliably in complex environments becomes a central challenge. Jetty is building critical infrastructure that enables these systems to evaluate their own performance and improve over time; something that will be essential as agentic AI moves into real-world applications.”

The funding will accelerate product development, expand the engineering team, and support traction with enterprise customers deploying agentic AI. The experienced operating team includes Roberto Cipriani, former CTO/COO of Paper, and Tracy Milner, COO, serial founder-CEO with inception to exit track record. This raise positions Jetty as a foundational layer for agentic AI infrastructure, helping organizations move to reliable, continuously improving systems they can trust at scale.

About Jetty
Jetty is building infrastructure for agentic AI workflows, enabling organizations to run autonomous AI systems in sandboxed environments, trace every decision from instruction to output, and apply rigorous evaluation loops that improve with every run.

SOURCE Jetty Solutions Inc

Strategic acquisitions and new capital accelerate company’s leadership position in AI-native application security

MONTREAL, May 6, 2026 — Boost Security today announced the acquisitions of SecureIQx and Korbit.ai, alongside $4 million in additional funding from White Star Capital, Amiral Ventures, Accelia Capital, and Sorensen Capital.

Software development is changing rapidly as AI tools generate increasing volumes of code and organizations rely on large ecosystems of third-party packages and libraries. Security teams must analyze growing amounts of code while determining which vulnerabilities actually pose risk in production systems.

Boost Security is the AI-Native SDLC Defense Platform that runs on the exact same clock as today’s coding agents. By unifying Developer Endpoint Protection, Software Supply Chain Security, and AI-Native ASPM into a single platform, Boost secures the entire development lifecycle. The platform actively defends the AI toolchain, blocks supply chain threats before ingestion, and auto-remediates vulnerable code, allowing engineering teams to ship at machine speed without the security bottleneck.

“Recent high-profile supply chain attacks are just the opening act,” said Catherine Ouellet-Dupuis, Partner, White Star Capital. “The deeper risk is that every engineering team on the planet is now shipping code written by AI agents that can unknowingly introduce vulnerabilities at machine speed and machine scale, and you can’t ask the same agent that wrote the bug to be your last line of defense. Boost is one of the few platforms built from the ground up to sit outside that loop, intercepting threats before they ever reach production. That’s the security architecture this new era demands.”

Acquisitions

• SecureIQx, an MIT-founded startup, developed a Software Composition Analysis (SCA) reachability engine capable of analyzing both binary and source code across more than a dozen programming languages. The technology helps organizations determine whether vulnerable components are actually reachable and exploitable within their applications.
• Korbit.ai built an AI-based pull request review platform designed to detect security vulnerabilities, performance issues, and coding flaws during the code review process. The technology has been trained on hundreds of millions of lines of code across thousands of companies.

Together, the acquisitions add advanced reachability analysis and AI-native SAST capabilities and code review technologies to Boost Security’s platform.

“We’re in a new era. By some estimates, 15 times more code was produced in 2025 than in 2024, and most of it wasn’t written or reviewed by humans. At the same time, supply chain attacks are becoming more frequent and more sophisticated. With these acquisitions, we are bringing deeper agentic capabilities into the Boost Security platform to meet that reality,” said Zaid Al Hamami, founder and CEO of Boost Security.

Funding

Boost Security also announced $4 million in additional funding from White Star Capital, Amiral Ventures, Accelia Capital, and Sorensen Capital. The investment will support continued development of the company’s platform.

About Boost Security

Boost Security is the AI-Native SDLC Defense Platform built to secure software at the speed of generation. The platform unifies Developer Endpoint Protection, Software Supply Chain Security, and AI-Native ASPM into a single execution engine. By actively protecting the AI workspace, blocking supply chain threats, and auto-fixing flawed code before the commit, Boost empowers engineering teams to leverage AI and floor the accelerator safely. Learn more at boostsecurity.io.

SOURCE Boost Security

AI built for the aisles: Vori autonomously manages operations for a $1.5 trillion industry still running on technology from the Reagan administration

SAN FRANCISCO, May 6, 2026 — Walk into a grocery store and you are looking at the largest undigitized retail segments on earth. While nearly every other sector has been rebuilt by software, grocery still runs on fax machines, paper invoices, and dozens of disconnected systems.

Vori is building the self-driving operating system for grocery stores, designed to manage a store’s entire operations from end to end. It handles checkout and payments at the register, tracks every item on every shelf, places orders with wholesalers, sets prices, runs promotions, and more.

Today, Vori announced a $22 million Series B led by Cherryrock Capital, with participation from Greylock Partners and The Factory, led by Stanford AI researcher Chris Ré.

In the past six months, Vori has doubled payment volume, with new stores being onboarded every 24 hours. Since launching in January 2024, Vori has processed more than $500 million in payments across 55 cities, serving over 1 million consumers nationwide.

United States food retail—supermarkets, grocery stores, food marts, and specialty shops—is a $1.5 trillion market, bigger than restaurants and bigger than hotels. Walmart and Amazon have invested heavily in this space, capturing 25% of U.S. grocery spending.

But no one is building technology for the other 75% of the market, for the operators still running on tools from the Reagan era 40 years ago. Grocery is one of the most operationally complex businesses to run, with stores juggling tens of thousands of SKUs, inventory that spoils by the day, a web of fragmented suppliers, and margins so thin there’s no room for error.

At the core of Vori is a unified system that brings together all of the disparate components required to run a store:

• A system of record that tracks all activity happening in the store in one place: every sale at the register, every case in the back room, every price on every shelf, every order placed with every wholesaler, and every loyalty member. Today this lives across a POS, a separate inventory system, a separate ordering system, a separate loyalty app, and a stack of paper invoices.
• A system of action, where AI agents leverage what the store “knows” to actually do the work. When dairy runs low, Vori writes the purchase order and sends it to the wholesaler. When a heat wave hits, Vori cuts the price of ice cream, updates every shelf tag in the store, and reports the sales lift back to the owner that night.
• A system of transaction, which processes every dollar that flows through the store. Payments represent approximately 60% of Vori’s revenue, with support for EBT, WIC, HSA, and FSA, each requiring complex, state-by-state integrations.

Every additional store on Vori makes every other store on Vori smarter. A strategic pricing move that works for owners in Sacramento shows up as a recommendation in Tampa the next morning.

By the end of 2026, the work that today eats a store owner’s nights and weekends—counting inventory, calling in orders, hand-keying price changes, reconciling invoices against deliveries—will run on its own. Over time, the company aims to become the clearinghouse for trade across the global food supply chain, connecting stores, distributors, brands, and payment systems into a single network.

“My family has been in grocery for three generations, and for most of that time the answer to ‘how do we run this store better’ was simply ‘work harder,'” said Brandon Hill, co-founder and CEO of Vori. “That no longer works. Grocery stores require what seems like never-ending decisions and adjustments to be made every second of the day just to stay running. With AI now making it possible to automate all operations, the cost of inaction is now existential. We plan to be the platform that powers the industry-wide rebuild of the systems that run grocery.”

Vori is led by a team with deep roots in grocery and engineers from SpaceX, Stripe, Square, Lyft, DoorDash, Instacart, and Amazon. CEO Brandon Hill is a third-generation grocer—his grandparents were in the industry, his parents met in a supermarket, and his mother works at Vori today.

“Grocery is an antiquated business with an enormous market, which AI can catalyze to bring growth and efficiencies,” said Stacy Brown-Philipot, founder of Cherryrock Capital. “We back companies that have audacious visions grounded in relentless execution and Brandon’s team at Vori is one of them. Before writing a single line of code, the team spent four years earning a PhD in grocery, going store to store, learning the rhythms, workflows, and economics that no outside company had bothered to understand.”

For more information, please visit https://www.vori.com/.

About Vori

Vori is building the autonomous grocery store. The platform runs checkout, inventory, ordering, pricing, and payments as a single system, and gets smarter with every store that joins. The company was founded by third-generation grocers and engineers from SpaceX, Stripe, Square, Lyft, DoorDash, and Instacart.

Media Contact:
Jenny Chao
[email protected]

SOURCE Vori