-Encord consigue una serie C de 60 millones de dólares para escalar su infraestructura de datos nativa de IA mientras la IA física alcanza un punto de inflexión

La ronda de financiación liderada por la dirección de Wellington eleva la financiación total de Encord a 110 millones de dólares, mientras que la compañía ve multiplicarse por diez sus ingresos por IA física en los últimos doce meses.

SAN FRANCISCO, 27 de febrero de 2026 — Encord, la empresa de infraestructura de datos para IA física, anunció hoy una ronda de financiación Serie C de 60 millones de dólares liderada por Wellington Management, lo que eleva la financiación total de la compañía a 110 millones de dólares. Los inversores actuales Y Combinator, CRV, N47, Crane Venture Partners y Harpoon Ventures también participaron en la ronda, junto con los nuevos inversores Bright Pixel Capital e Isomer Capital.

La inversión ayudará a Encord a escalar su plataforma de infraestructura de datos nativa de IA, que ayuda a los equipos de IA a gestionar, seleccionar, anotar y alinear los datos multimodales de los que dependen los sistemas físicos de IA, incluyendo audio, vídeo, imágenes, datos de sensores, nubes de puntos 3D y otros formatos que las plataformas de datos tradicionales no estaban diseñadas para gestionar.

Encord colabora con más de 300 equipos de IA a nivel mundial, entre ellos Woven by Toyota, Skydio, AXA Financial y numerosos laboratorios de IA física y de vanguardia. La compañía ha experimentado un crecimiento significativo tanto en ingresos como en volumen de datos en su plataforma en los últimos doce meses como resultado del auge de la IA física.

El punto de inflexión en la IA física

La Serie C de Encord llega en un momento en que la IA física —que impulsa robots, vehículos autónomos, drones y otros sistemas que operan en el mundo real— entra en una nueva etapa de crecimiento explosivo. Tras años de demostraciones en laboratorio y programas piloto, estos sistemas están entrando en producción. Los analistas proyectan que más de 400 millones de robots con IA estarán en línea en tan solo los próximos 4 años, y que el tamaño de la industria de la IA física superará los 30.000 millones de dólares en el mismo período.

A diferencia de los grandes modelos de lenguaje, que se entrenaron en la internet abierta, los modelos de IA física deben aprender de datos patentados, como señales de sensores, vídeo, telemetría robótica, casos extremos capturados en el campo y otras fuentes. Almacenar y procesar estos datos requiere mayor capacidad computacional que almacenar y procesar texto.

Esos datos no se organizan solos. Incorporar los datos correctos a los modelos y excluir los incorrectos —de forma continua y a gran escala— requiere una infraestructura de datos nativa de IA diseñada específicamente.

“Todos se centran en crear modelos más grandes”, afirmó Ulrik Stig Hansen, cofundador y coconsejero delegado de Encord. “Pero para la IA física, el obstáculo no es el tamaño del modelo, sino la disponibilidad de los datos. Se puede tener el modelo más sofisticado del mundo y, aun así, fallará si los datos que lo alimentan son incompletos, inconsistentes o no se ajustan a las condiciones del mundo real. Ese es el problema que solucionamos”.

Encord ha experimentado un aumento de la demanda a medida que la IA física pasa de la experimentación a la implementación:

• Los datos en la plataforma de la empresa han crecido de 1 petabyte a más de 5 petabytes en doce meses, tres veces más que los datos utilizados para entrenar GPT-4.
• Los ingresos de los clientes de IA física se han multiplicado por diez durante el mismo período.

La plataforma de IA física de Encord permite a las empresas y equipos líderes en IA capturar, organizar y redistribuir datos a lo largo del ciclo de vida del modelo. Desde facilitar la generación de datos en la fase de preentrenamiento hasta alinear los modelos según la retroalimentación humana, el software de Encord está diseñado para gestionar todas las tareas de automatización y procesamiento de datos que las empresas de IA física puedan afrontar.

Bill Tinney, director sénior de Gestión de Productos de IA y Asociaciones en Vantor, cliente de Encord, afirmó: “En Vantor, desarrollamos IA para infraestructuras críticas y seguridad nacional; necesitábamos una plataforma de datos que estuviera a la altura de nuestras ambiciones. Encord nos proporciona una capa de datos unificada que escala con la complejidad de nuestros flujos de trabajo geoespaciales, desde la curación hasta la anotación y la evaluación, sin fragmentación de herramientas. Para los equipos de IA de producción, la forma en que se operacionalizan los datos es una ventaja competitiva fundamental.”

Eric Landau, cofundador y coconsejero delegado de Encord, afirmó que la financiación acelerará el desarrollo de productos y la expansión a nuevos mercados. “Las empresas que triunfan en IA física comprenden algo que otras apenas están empezando a comprender: la calidad del modelo depende de los datos que lo respaldan. Estamos construyendo la infraestructura que permite utilizar esos datos, no solo una vez, sino continuamente, a medida que estos sistemas aprenden y mejoran en el mundo real.”

Acerca de Encord 

Encord es la capa de datos universal para IA. La plataforma ayuda a los equipos de IA a entrenar y ejecutar sus modelos con los datos adecuados, gestionando, seleccionando, anotando y alineando datos a lo largo de todo el ciclo de vida de la IA. Encord colabora con más de 300 equipos líderes de IA, como Woven by Toyota, AXA y Skydio.

Contacto para medios:
Chris Clemens
Nexios Communications Strategies
[email protected]

Logo – https://mma.prnewswire.com/media/2798765/Encord_Logo.jpg

/C O R R E C T I O N – Encord/ In the news release, ENCORD SECURES $60M SERIES C TO SCALE AI-NATIVE DATA INFRASTRUCTURE AS PHYSICAL AI HITS INFLECTION POINT, issued 26-Feb-2026 by Encord over PR Newswire, we are advised by the company that changes have been made. The complete, corrected release follows, with additional details at the end:

ENCORD SECURES $60M SERIES C TO SCALE AI-NATIVE DATA INFRASTRUCTURE AS PHYSICAL AI HITS INFLECTION POINT

Wellington Management-Led Round Brings Encord’s Total Funding to $110M as Company Sees Physical AI Revenue Grow 10x in Last Twelve Months

SAN FRANCISCO, Feb. 26, 2026 — Encord, the data infrastructure company for physical AI, today announced a $60 million Series C led by Wellington Management, bringing the company’s total funding to $110 million. Existing investors Y Combinator, CRV, N47, Crane Venture Partners and Harpoon Ventures also participated in the round alongside new investors Bright Pixel Capital and Isomer Capital.

The investment will help Encord scale its AI-native data infrastructure platform, which helps AI teams manage, curate, annotate, and align the multimodal data that physical AI systems depend on, including audio, video, images, sensor data, 3D point clouds and other formats that legacy data platforms weren’t built to handle.

Encord works with over 300 AI teams globally, including Woven by Toyota, Skydio, AXA Financial and numerous physical AI and frontier labs. The company has seen significant growth in both revenue and data volume on its platform in the last twelve months as a result of the surge in physical AI.

The Inflection Point in Physical AI

Encord’s Series C comes as physical AI – which powers robots, autonomous vehicles, drones, and other systems that operate in the real world – enters an explosive new growth stage. After years of lab demos and pilot programs, these systems are moving into production. Analysts project that over 400 million AI robots will come online in just the next 4 years, and that the size of the physical AI industry will eclipse $30B over the same time period.

Unlike large language models, which were trained on the open internet, physical AI models must learn from proprietary data, including sensor feeds, video, robotic telemetry, edge cases captured in the field and other sources. Storing and processing this data requires more computational power than storing and processing text.

That data doesn’t organize itself. Getting the right data into the models and keeping the wrong data out—continuously, at scale—requires purpose-built AI-native data infrastructure.

“Everyone is focused on building bigger models,” said Ulrik Stig Hansen, Co-Founder and Co-CEO of Encord. “But for physical AI, the bottleneck isn’t model size. It’s data readiness. You can have the most sophisticated model in the world, and it will still fail if the data feeding it is incomplete, inconsistent, or misaligned with real-world conditions. That’s the problem we solve.”

Encord has seen demand surge as physical AI moves from experimentation to deployment:

• Data on the company’s platform has grown from 1 petabyte to over 5 petabytes in twelve months—3x more than the data used to train GPT-4
• Revenue from physical AI customers has grown 10x over the same period

Encord’s physical AI platform allows leading AI companies and teams to capture, organize and redeploy data across the model lifecycle. From facilitating data generation in the pre-training phase to aligning models in accordance with human feedback, Encord’s software is designed to handle every data automation and processing task physical AI companies may encounter.

Bill Tinney, Senior Director of AI Product Management and Partnerships at Vantor, an Encord customer, said, “At Vantor, we build AI for critical infrastructure and national security – we needed a data platform that could match our ambitions. Encord gives us a unified data layer that scales with the complexity of our geospatial workflows, from curation to annotation to evaluation, without tool fragmentation. For production AI teams, how you operationalize your data is a core competitive advantage.”

Eric Landau, Co-Founder and Co-CEO of Encord, said the funding will accelerate product development and expansion into new markets. “The companies winning in physical AI understand something that others are just beginning to realize: the model is only as good as the data behind it. We’re building the infrastructure that makes that data usable—not just once, but continuously, as these systems learn and improve in the real world.”

About Encord

Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data – managing, curating, annotating, and aligning data across the full AI lifecycle. Encord works with over 300 leading AI teams, including Woven by Toyota, AXA, and Skydio.

Media Contact:
Chris Clemens
Nexios Communications Strategies
[email protected]

Correction: In the third paragraph and boilerplate, the list of representative customers served by Encord has been revised.

Logo – https://mma.prnewswire.com/media/2798765/Encord_Logo.jpg 

DENVER, Feb. 26, 2026 — Rebound Technologies, Inc. (“Rebound Technologies”), developer of the IcePoint® thermal energy storage and cooling platform, today closed a strategic investment led by Taronga Group, an institutionally-backed investor in real asset technologies, with participation from INNOPOWER, Skyview Ventures and True North Institute.

The financing reinforces confidence in Rebound’s differentiated thermal storage platform and positions their technology for expanded adoption across critical infrastructure markets including data centers, cold chain logistics, and gas turbine power generation, as well as niche applications in sports facilities and food manufacturing.

As global infrastructure faces rising power density, grid constraints, and decarbonization pressure, scalable thermal flexibility is becoming essential to maintaining performance and reliability. Rebound Technologies has developed a proprietary approach to high-performance thermal storage, producing ice at scale to deliver on-demand cooling, freezing, and dehumidification. The company’s energy storage platform combines operational performance with energy flexibility, reducing peak power consumption, lowering cost of cooling, and increasing facility capacity across commercial and infrastructure environments.

“Cooling is no longer just about maintaining temperature; it’s about unlocking infrastructure performance,” said Eric Kish, CEO of Rebound Technologies. “With our IcePoint® technology Rebound’s customers can increase operational capacity, firm peak demand, and transform cooling from a static load into a dynamic energy asset. This investment allows us to scale that capability at a critical moment for both digital and grid infrastructure.”

As lead investor, Taronga Group, alongside strategic participant INNOPOWER, brings extensive experience in scaling infrastructure technologies globally, supporting Rebound’s next phase of growth and execution. Proceeds from the financing will expand manufacturing capacity, accelerate commercial deployments, and advance continued product innovation.

“Globally, institutional investors are focused on energy resilience, supply chain transformation and AI-driven transition of traditional industries as defining macroeconomic themes. Rebound’s proprietary technology has been designed to serve critical applications in energy, logistics and digital infrastructure – three asset classes that sit at the center of these structural shifts. Taronga Group and our real asset partners are excited about the potential for Rebound’s solution to deliver measurable asset-level impact through enhanced flexibility, resilience and operational performance”, said Avi Naidu, Managing Director, Taronga Group.

“We are proud to support Rebound Technologies at this important stage of growth. Rebound’s proprietary approach addresses a critical lever in the energy transition, improving performance across data centers, industrial, and supply chains. Their turbine inlet cooling solutions are highly strategic to our shareholders, especially the potential to increase power generation capacity at the lowest incremental cost. As a joint venture between three of Thailand’s leading energy utilities focused on the energy transition, INNOPOWER invests in scalable solutions that enhance infrastructure performance while accelerating decarbonization. We believe Rebound is well positioned to accelerate decarbonization across multiple sectors, and we look forward to working closely with the team to support their next phase of accelerated market expansion,” said Mr. Athip Tantivorawong, CEO of INNOPOWER.

About Rebound Technologies

Rebound Technologies is a leader in grid-interactive thermal energy storage and advanced cooling systems. Its patented IcePoint® platform delivers dynamic cooling solutions that integrate performance optimization with energy flexibility for data centers, industrial facilities, recreation centers, and district energy applications. To learn more about Rebound Technologies at www.rebound-tech.com.

About Taronga Group

Taronga Group is a global investor, focused on driving innovation across Real Asset sectors such as real estate and infrastructure. The Group consists of Technology Investment Funds, Real Asset Investments, and RealTechX innovation programs, providing ecosystem support and advisory services. Taronga Group provides Real Asset owners and operators with strategic investment, access and advice across technology and sustainability. Taronga Group’s funds are backed by leading global institutional investors and major Real Asset owners and operators including Aldar, APG, Australian Retirement Trust, CBRE Inc., Dexus, Grosvenor Estate, La Caisse, PGIM, Mitsubishi Corporation, Nomura Real Estate, Patrizia AG, amongst others. Taronga Group covers markets across Asia-Pacific, North America, Europe and the Middle East. Learn more about Taronga Group at www.tarongagroup.com.

SOURCE Rebound Technologies Inc

Wellington Management-Led Round Brings Encord’s Total Funding to $110M as Company Sees Physical AI Revenue Grow 10x in Last Twelve Months

SAN FRANCISCO, Feb. 26, 2026 — Encord, the data infrastructure company for physical AI, today announced a $60 million Series C led by Wellington Management, bringing the company’s total funding to $110 million. Existing investors Y Combinator, CRV, N47, Crane Venture Partners and Harpoon Ventures also participated in the round alongside new investors Bright Pixel Capital and Isomer Capital.

The investment will help Encord scale its AI-native data infrastructure platform, which helps AI teams manage, curate, annotate, and align the multimodal data that physical AI systems depend on, including audio, video, images, sensor data, 3D point clouds and other formats that legacy data platforms weren’t built to handle.

Encord works with over 300 AI teams globally, including Woven by Toyota, Zipline, Skydio, AXA Financial and numerous physical AI and frontier labs. The company has seen significant growth in both revenue and data volume on its platform in the last twelve months as a result of the surge in physical AI.

The Inflection Point in Physical AI

Encord’s Series C comes as physical AI – which powers robots, autonomous vehicles, drones, and other systems that operate in the real world – enters an explosive new growth stage. After years of lab demos and pilot programs, these systems are moving into production. Analysts project that over 400 million AI robots will come online in just the next 4 years, and that the size of the physical AI industry will eclipse $30B over the same time period.

Unlike large language models, which were trained on the open internet, physical AI models must learn from proprietary data, including sensor feeds, video, robotic telemetry, edge cases captured in the field and other sources. Storing and processing this data requires more computational power than storing and processing text.

That data doesn’t organize itself. Getting the right data into the models and keeping the wrong data out—continuously, at scale—requires purpose-built AI-native data infrastructure.

“Everyone is focused on building bigger models,” said Ulrik Stig Hansen, Co-Founder and Co-CEO of Encord. “But for physical AI, the bottleneck isn’t model size. It’s data readiness. You can have the most sophisticated model in the world, and it will still fail if the data feeding it is incomplete, inconsistent, or misaligned with real-world conditions. That’s the problem we solve.”

Encord has seen demand surge as physical AI moves from experimentation to deployment:

• Data on the company’s platform has grown from 1 petabyte to over 5 petabytes in twelve months—3x more than the data used to train GPT-4
• Revenue from physical AI customers has grown 10x over the same period

Encord’s physical AI platform allows leading AI companies and teams to capture, organize and redeploy data across the model lifecycle. From facilitating data generation in the pre-training phase to aligning models in accordance with human feedback, Encord’s software is designed to handle every data automation and processing task physical AI companies may encounter.

Bill Tinney, Senior Director of AI Product Management and Partnerships at Vantor, an Encord customer, said, “At Vantor, we build AI for critical infrastructure and national security – we needed a data platform that could match our ambitions. Encord gives us a unified data layer that scales with the complexity of our geospatial workflows, from curation to annotation to evaluation, without tool fragmentation. For production AI teams, how you operationalize your data is a core competitive advantage.”

Eric Landau, Co-Founder and Co-CEO of Encord, said the funding will accelerate product development and expansion into new markets. “The companies winning in physical AI understand something that others are just beginning to realize: the model is only as good as the data behind it. We’re building the infrastructure that makes that data usable—not just once, but continuously, as these systems learn and improve in the real world.”

About Encord

Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data – managing, curating, annotating, and aligning data across the full AI lifecycle. Encord works with over 300 leading AI teams, including Woven by Toyota, Zipline, AXA, and Skydio.

Media Contact:
Chris Clemens
Nexios Communications Strategies
[email protected]

SOURCE Encord

SAN FRANCISCO, Feb. 26, 2026 — Following its $100 million raise last September, VITURE has officially closed another $100 million financing round, bringing total capital raised within six months to over $200 million.

The latest round is led by Legend Capital, the investment arm affiliated with Lenovo, alongside a group of prominent strategic investors from the global technology ecosystem, including several prestigious investors from the previous round, such as Bertelsmann Group.

This new infusion of capital further strengthens investor confidence in VITURE’s leadership position within XR and AR hardware innovation, reinforcing strong momentum heading into 2026.

A Breakout Year for XR

2025 marked a defining year for VITURE’s evolution from a fast-growing startup into a dominant player in the XR industry.

In the second half of the year alone, VITURE launched its third-generation lineup — the Luma Series, representing its first major step into true AR experiences with Luma Ultra, alongside significant XR performance advances with its flagship model, The Beast.

The company also expanded retail presence across North America, including in-store placements at Best Buy with a first-of-its-kind walk-up XR demo experience.

According to IDC’s most recent quarterly reports, VITURE once again ranked #1 in XR glasses shipments in the United States, capturing the majority share of the extended-display category.

The long-awaited launch of The Beast in late 2025 marked a technological milestone, featuring an upgraded optical architecture and next-generation display system that will serve as a cornerstone of VITURE’s 2026 roadmap.

Cultural Momentum: Cyberpunk Collaboration

In December, VITURE partnered with CD Projekt RED to release a serialized limited-edition XR collaboration celebrating the fifth anniversary of Cyberpunk 2077.

The limited run of Luma Cyber XR Glasses quickly sold out, further strengthening VITURE’s cultural footprint within gaming and immersive entertainment communities. A wearable collectible. A display masterpiece. A slice of Night City — made real.

Strategic AI + AR Collaboration with NVIDIA & Stanford

Beyond consumer hardware, VITURE is also expanding into enterprise and medical applications.

In October, VITURE announced a joint initiative with NVIDIA and Stanford Medicine, combining AR and AI technologies to streamline laboratory workflows and accelerate research processes.

The collaboration was briefly featured in Jensen Huang’s keynote last October — a moment that VITURE considers a meaningful milestone, standing alongside innovations shaping the future of technology. The initiative will also be showcased at the upcoming NVIDIA GTC, further positioning VITURE at the intersection of spatial computing and artificial intelligence.

Official Statement Regarding XREAL Litigation

As an official response to XREAL’s litigation, VITURE confirms that it has already taken affirmative legal action to protect its rights. This includes initiating patent infringement proceedings against XREAL in China, as well as separate legal action addressing false and harmful statements made by XREAL concerning VITURE and its products.

While VITURE did not seek to be drawn into litigation, the company will not hesitate to enforce its intellectual property rights and pursue all appropriate legal remedies available under applicable law.

If the court rules in VITURE’s favor, potential remedies may include injunctive relief restricting the manufacturing and export of all XREAL products utilizing the electrochromic film technology, along with other corrective measures as permitted by law.

With respect to the patent infringement claims recently brought by XREAL in the United States, VITURE has retained Cooley LLP, a leading international litigation firm, as counsel. VITURE’s official position is as follows:

We believe the claims lack merit. VITURE has independently developed its products and respects valid intellectual property rights. We will address these matters through the appropriate legal process while remaining focused on delivering innovative products and serving our customers.

VITURE stands confident in its technology, its intellectual property portfolio, and its long-term vision for advancing the XR industry.

Eyes on 2026

With exponential year-over-year growth and strong institutional backing, VITURE enters 2026 positioned not only as a leading XR hardware company, but as a broader spatial computing platform shaping the future of work, entertainment, and AI integration.

The newly secured funding will accelerate next-generation product development, global expansion, and deeper strategic collaborations across the XR ecosystem. It will also support the launch of the new product line, VITURE’s next evolution in intelligent spatial experiences, ushering in a new category of connected lifestyle technology.

As spatial computing moves from niche to mainstream, VITURE is positioned at the forefront — redefining how people see, interact with, and experience digital worlds in everyday life.

About VITURE

VITURE is a global pioneer in the XR industry, redefining immersive experiences and next-generation digital consumption through advanced display technology, refined industrial design, and user-centric innovation. According to IDC, VITURE has captured more than 50 percent of the U.S. extended reality glasses market since Q4 2024, establishing itself as a category benchmark and a leader in the evolution of wearable XR.

Press Contact:

[email protected]

SOURCE VITURE

NASHVILLE, Tenn., Feb. 26, 2026 — Honest Health today announced a $140 million capital raise, led by NewSpring Healthcare, a sector-focused strategy of NewSpring dedicated to partnering with innovative healthcare companies. The investment reflects growing demand for Honest Health’s health system-focused approach and its track record of helping organizations execute successfully in value-based payment models.

Honest Health partners with health systems and providers to succeed in value-based, risk models through technology-enabled care coordination, quality improvement, and actionable insights. The raise is supported by K2 HealthVentures and a strong syndicate of Honest Health’s existing investors and institutional partners, including Rubicon Founders, Oak HC/FT, Welsh, Carson, Anderson & Stowe (WCAS), and Durable Capital Partners.

Proceeds from the investment will support continued growth, including expansion into new markets and partnerships with health systems, provider organizations, and payers.

NewSpring Healthcare brings sector-specific knowledge and executive operating experience to help healthcare services companies achieve their vision. The team works closely with founders and CEOs to navigate growth, identify inflection points, and guide critical financial and operational decisions.

“Value-based care continues to reshape the healthcare landscape, creating significant demand for partners that can support execution at scale,” said Mike Kaplan, NewSpring Partner and board member of Honest Health. “Honest Health has demonstrated a strong ability to help health systems navigate this transition, and we see substantial opportunity to expand the company’s reach. With our deep healthcare operating experience, we’re excited to partner with Honest Health to support continued adoption of value-based care and the company’s next phase of growth.”

“Health systems and providers face growing demands to improve outcomes and manage costs, accelerating the need for value-based care models anchored in strong clinical leadership, proven processes, and scalable infrastructure,” said Rob Bessler, M.D., chief executive officer of Honest Health.

Honest Health is led by an experienced management team with deep clinical and operational expertise. CEO Rob Bessler, M.D., is a physician leader and entrepreneur who founded Sound Physicians and built it into a multibillion-dollar organization with significant impact across 42 states. Honest Health was founded in 2021 by Adam Boehler, Abe Sutton, and Matt Kim of Rubicon Founders, a healthcare investment firm. Adam Boehler was the former director of the Center for Medicare and Medicaid Innovation, a role which Abe Sutton currently leads.

“Honest Health was created with the conviction that real transformation in healthcare only happens when providers have the tools, accountability and support to focus on value over volume,” said Matt Kim, partner at Rubicon Founders. “In a short period of time, the company has demonstrated that belief in action, delivering measurable improvements in patient outcomes, strengthening operational performance and building a more sustainable path forward for providers. We’re proud of what the team has built and excited to continue building alongside them and NewSpring as Honest Health enters its next phase of growth.”

Supported by NewSpring Healthcare and participating investors, Honest Health is well positioned to broaden its national footprint and deliver measurable performance in increasingly complex risk environments.

Leerink Partners served as exclusive financial advisor, and Ropes & Gray served as legal counsel to Honest Health in connection with the transaction.

About Honest Health

Honest Health is a physician-led, value-based care enablement organization that partners with health systems and providers to drive improved patient outcomes while reducing costs. Honest supports clinicians by offering actionable insights, operational expertise, and shared accountability in care models that prioritize quality and value. For more information, visit honesthealth.com.

About NewSpring

For more than 25 years, NewSpring Capital has worked alongside founders and management teams in the lower-middle market, providing capital, operational support, and strategic guidance to help businesses scale. With over $3.5 billion in assets under management and more than 250 investments completed, we bring operational experience and investment expertise to build market-leading companies across sectors such as technology, healthcare, business services, consumer, and industrials. Through five distinct strategies covering the spectrum from growth equity and control buyouts to mezzanine debt, we tailor our approach to each company’s stage and goals, always with a focus on sustainable growth. As specialists in the lower-middle market, we support growth that leads to more predictable outcomes. At NewSpring, we are as invested in your outcome as you are. For more information, visit newspringcapital.com. 

About Rubicon Founders

Rubicon Founders is an entrepreneurial healthcare investment firm focused on building and growing transformational companies that create enduring value by transforming the way people receive care. Rubicon Founders brings together a core team of investment, operating, and technology professionals who work to put patients and doctors first.

SOURCE Honest Health

NODA AI’s Series A funding will accelerate progress of key DoW customer milestones for the orchestration of cross-vendor, mixed fleet autonomous systems

AUSTIN, Texas, Feb. 26, 2026 — NODA AI Inc., developer of the novel algorithmic weapons and tactics orchestration platform for all-domain, cross-vendor systems, today announced that it has raised $25 million in Series A funding, led by Bessemer Venture Partners with participation from Booz Allen Ventures, Draper Associates, Bloomberg Beta, and Alumni Ventures.

The investment will allow NODA AI to accelerate delivery on key milestones to Department of War and United Kingdom Ministry of Defense customers, deepen its integration across more than 30 existing platforms, and extend its technical capabilities into new defense and intelligence markets.

“Mass autonomy in defense demands a new generation of algorithmic warfare – a new market category and technical approach that we are pioneering at NODA AI,” said Philong Duong, Chief Executive Officer. “The essence of defeating adversaries is making better, faster decisions, and the next frontier will be the ability to harmonize decision making across an ecosystem of independent autonomous systems with diverse capabilities. While much of the defense industrial base is focused on building the best vehicles and their respective platform autonomies, functionally the chess pieces, we are ruthlessly focused on creating the brains, the best chess player — a system capable of adaptive reasoning, real-time tactics and strategy handling, and the ability to transform a set of independent capabilities into desired effects.”

NODA AI was founded in 2024 by Global War on Terrorism veterans to address the problem that the current control systems for unmanned technologies are fragmented, vendor-siloed, and overly deterministic — creating operational siloes and excessive cognitive load for the warfighter. To address this problem, the company is building a novel open and vendor-agnostic reasoning platform architected to design, develop, and deploy algorithmic warfare across manned and unmanned systems.

As an independent cognitive layer, NODA AI works with OEMs to understand and integrate different vehicles and autonomous capabilities into their growing 30+ OEM ecosystem. NODA AI also works with government partners to develop cross-platform tactics and strategies, leveraging its novel AI-reasoning engine to orchestrate those tactics across large, mixed fleets and transform today’s siloed platforms into combined and decisive combat power.

The platform is already in demand by defense and intelligence officials: its selection over several large incumbents in key programs and its demonstrated ability to integrate rapidly with other vendors have drawn strong endorsements from government leaders.

“NODA AI has been selected to lead the development of the orchestration layer for our multi-domain collaborative autonomy program. Their work is vital to advancing the Department’s autonomous force structure and directly supports the Secretary of War’s priorities,” a senior DoW official stated. “Their advanced AI orchestration technologies enable seamless coordination across unmanned and manned systems spanning air, space, surface, subsurface, and ground domains, making them pivotal to achieving operational superiority.”

In just nine months from pre-seed funding, NODA AI has created the largest technically integrated partner system in defense autonomy and has received multiple awards with major defense programs. It has partnered with several large defense primes, like Booz Allen Hamilton and Huntington Ingalls Industries, to accelerate development.

“NODA AI is building the AI-native connective tissue for defense autonomy, enabling collaboration and interoperability between systems, and we’re proud to partner with their team as they define the future of algorithmic warfare.” said Janelle Teng Wade, Partner at Bessemer Venture Partners. “We’re impressed by their technical depth, speed of execution, and mission-driven focus to deliver real operational advantage,” Dr. Ray O. Johnson, Operating Partner at Bessemer Venture Partners, added.

“NODA AI has been the fastest growing company in our portfolio and is onto something big,” said Paige Craig, Managing Partner of Outlander, who led early investments in notable defense companies like Scale AI and Havoc AI.

About NODA AI

NODA AI is an AI-native defense company focused on developing, maintaining, and orchestrating mixed-fleet tactics and strategies for autonomous systems.

The introduction of novel autonomy brings a new generation of algorithmic warfare, and NODA is building the world’s deepest vendor-agnostic, cross-platform algorithm repository so that operators can manage desired effects and not individual systems. https://www.NodaIntelligence.ai.

About Bessemer Venture Partners

Bessemer Venture Partners helps entrepreneurs lay strong foundations to build and forge long-standing companies. With more than 150 IPOs and 420 portfolio companies in the enterprise, consumer and healthcare spaces, Bessemer supports founders and CEOs from their earliest days through every stage of growth. Bessemer’s global portfolio has included Pinterest, Shopify, Twilio, Yelp, LinkedIn, PagerDuty, RocketLab, Wix, Fiverr, Toast and ServiceTitan, and the firm has $19 billion of assets under management. Bessemer has investment teams located in San Francisco, Silicon Valley, New York, Boston, London, Bangalore, and Tel Aviv. Born from innovations in steel more than a century ago, Bessemer’s storied history has afforded its partners the opportunity to celebrate and scrutinize its best investment decisions (see Memos) and also learn from its mistakes (see Anti-Portfolio).

Media Contact:
Taylor Dillenberger
[email protected]

SOURCE NODA AI Inc.

Strategic Investment by Springcoast Partners Will Drive Product Innovation and Global Expansion

HOBART, Australia and MOUNTAIN VIEW, Calif., Feb. 26, 2026 — UpGuard, a leader in cybersecurity and risk management, today announced it has raised a Series C funding round of $75M from Springcoast Partners. The minority funding round will accelerate UpGuard’s next growth phase, including the expansion of its AI-powered Cyber Risk Posture Management (CRPM) platform capabilities, scaling global go-to-market functions, and pursuing strategic M&A. Springcoast led the round and joins existing investors, August Capital, Square Peg Capital, and Pelion Venture Partners.

“UpGuard has an opportunity to bridge the gap between risk and security, and this Series C round adds even more fuel to accelerate the delivery of our enterprise-grade solutions for the mid-market. This ensures that CISOs and lean security teams can stay resilient with best-in-class tools to address today’s increasingly complex threat landscape,” said UpGuard’s co-founder and CEO Mike Baukes.

Today, UpGuard is trusted by 50k organizations in 90+ countries, including over 2000 customers who are supported by UpGuard’s distributed workforce across 14 countries with localized support and diverse expertise. Backed by customer validation, UpGuard has been named a winner in the G2 2026 Best Software Awards, ranking in the top 15 companies for Security, and in the top 100 of all Global Software Companies. This recognition reinforces UpGuard’s position as the category leader on G2 for Third-Party and Supplier Risk Management for 15 consecutive quarters, with a platform that processes more than 100 billion risk signals every day.

UpGuard’s AI-powered CRPM platform unifies the fragmented cybersecurity landscape by correlating risk across typically overlooked posture areas, including: Vendor Risk for the supply chain, Breach Risk for the external attack surface, User Risk for workforce security, Trust Exchange for data sharing, and Risk Automations for GRC engineering.

UpGuard is redefining security operations by shifting the burden from manual review to AI-driven automated precision. In the last 100 days alone, the platform processed over 23 billion tokens to power risk assessments, threat signals, and security questionnaire completions. This massive computational scale has translated into tangible speed for customers: to date, more than 70k AI risk assessments and 700k AI autofill questionnaires have been completed, and UpGuard’s AI Threat Analyst has been used to successfully triage 90 percent of over 483k breach signals to ensure security teams can focus on high-intent threats.

“UpGuard has proven its ability to execute and achieve significant scale and capital efficiency in a critical market, and they have the vision and technology to achieve even more. We are excited to partner with the UpGuard team as they expand their AI-CRPM platform capabilities and solidify their position as a leader in cyber risk posture management,” said Holger Staude, Managing Partner at Springcoast.

BofA Securities acted as the exclusive placement agent to UpGuard on the transaction, and Fenwick provided legal counsel.

About UpGuard
Founded in 2012, UpGuard is a leader in cybersecurity and risk management. The company’s AI-powered platform for Cyber Risk Posture Management (CRPM) provides a centralized, actionable view of cyber risk across an organization’s vendors, attack surface, and workforce. Trusted by thousands of companies, UpGuard’s platform is designed to help security teams manage cyber risk with confidence and efficiency. UpGuard is headquartered in Hobart, Tasmania with US headquarters in Mountain View, California. To learn more, visit www.upguard.com.

About Springcoast Partners
Established in 2023, Springcoast is a New York-based growth equity firm focused on partnering with market leading software and technology companies. To learn more about Springcoast, visit www.springcoast.com.

MEDIA CONTACT
Julie Huang
[email protected] 

SOURCE UpGuard

New funding led by DeepWork Capital, with significant investment from Data Point Capital, and with participation from existing investors, will accelerate product development and market expansion

MIAMI, Feb. 26, 2026 — FirmPilot, the AI-powered legal marketing platform, today announced the close of its oversubscribed Series A-1 funding round. The round was led by DeepWork Capital, with a significant investment from Data Point Capital, and participation from existing investors including Blumberg Capital, Thomson Reuters Ventures, Valor Ventures, SaaS Ventures, and EarlyLight Ventures. The new capital brings FirmPilot’s total funding to $27.25M. As part of the investment, DeepWork Capital Partner Ken Hall will join FirmPilot’s Board of Directors.

Every hour, more than 1,000 people in the U.S. search online for legal help, yet 75% never scroll past the first page of results. For the 425,000+ law firms in the U.S., legacy approaches to marketing, retaining traditional agencies, manually managing ad spend, and relying on guesswork are costly, low-ROI, and not built for busy legal professionals. FirmPilot’s patent-pending AI Legal Marketing Engine replaces this guesswork with intelligence, using proprietary data and AI to help law firms attract higher-value clients, faster.

Since its founding in 2023, FirmPilot has experienced rapid growth. The company’s platform has generated tens of thousands of qualified leads for law firms across the U.S., with clients seeing 180%+ increases in case volume. FirmPilot’s AI knowledge model has analyzed more than 5 million pieces of legal marketing content and draws from a proprietary database of 3,000+ relevant legal cases to produce authoritative content that ranks in both traditional search and AI-driven search engines, including results surfaced by ChatGPT.

“Law firm owners aren’t just practicing law anymore, they’re building companies. And the firms that will win over the next decade are the ones making the shift from gut-feeling marketing to data-driven, AI-powered growth. This round gives us the fuel to help more firms make that transition and to continue building the platform that replaces the traditional agency model entirely.”

— Jake Soffer, Founder & CEO, FirmPilot

FirmPilot’s platform provides an all-in-one solution for law firm marketing, including AI-driven SEO and GEO (AI search optimization), PPC and Google Ads management, local SEO, digital PR and link building, social media, and website optimization. The platform’s competitive blueprinting technology takes an “x-ray” of a firm’s competitive landscape, analyzing trends and patterns in SEO, ads, and other digital marketing activity of competitors to identify growth opportunities. FirmPilot’s AI agent automation then handles time-intensive tasks, from 24/7 competitor monitoring to content calibration, while real-time dashboards give firm owners full transparency into ROI.

The new funding will fuel two major product initiatives. First, FirmPilot is building its next-generation AI model, 10x the size of its current model in terms of training data, expected to roll out to all clients by Q3 2026. The upgraded model will enable significantly deeper content creation, smarter marketing tactics, and faster time to ROI for law firms. Second, FirmPilot is developing direct integrations with leading case management solutions, allowing the platform to ingest case value data and use it to more intelligently direct marketing efforts through its AI marketing agents. These integrations will also unlock precise ROI attribution and revenue tracking, effectively creating a powerful revenue operations command center for law firms, connecting marketing spend directly to case outcomes for the first time.

“FirmPilot is solving a massive problem for a market that has been drastically underserved by technology. Jake and his team have built a product that delivers measurable, data-driven results for law firms, replacing an entire industry of manual marketing agencies with an intelligent platform. The combination of proprietary legal domain data, AI automation, and clear client ROI is exactly what we look for at DeepWork. We’re thrilled to lead this round and join the board as FirmPilot enters its next phase of growth.”

— Ken Hall, Partner, DeepWork Capital

“We’ve been tracking the legal marketing space closely, and FirmPilot stood out immediately. Jake and his team have built a genuinely differentiated platform, one that combines proprietary legal domain data with AI automation to deliver measurable client acquisition results. The opportunity to displace a fragmented, agency-driven market with an intelligent, scalable platform is exactly what we invest in at Data Point Capital. We’re excited to partner with this team.”

— Scott Savitz, Founder & Managing Partner, Data Point Capital

About FirmPilot

FirmPilot is the leader in AI legal marketing. FirmPilot’s patent-pending AI Legal Marketing Engine provides law firms and services-based SMBs with a modern way to grow with strategies built entirely on data and intelligence. The platform uses proprietary AI to analyze competitive landscapes, create authoritative content, optimize across SEO, GEO, PPC, social media, and local search, and deliver real-time ROI insights, replacing the guesswork of traditional marketing agencies. Founded in 2022 and headquartered in Miami, FirmPilot is backed by leading investors including DeepWork Capital, Data Point Capital, Blumberg Capital, Thomson Reuters Ventures, HubSpot Ventures, Valor Ventures, SaaS Ventures, EarlyLight Ventures, FJ Labs, and Connexa Capital. Learn more at firmpilot.com.

About DeepWork Capital

DeepWork Capital is an early-stage venture capital firm founded in 2015 in Orlando, Florida. The firm invests in tech-forward founders addressing the world’s biggest problems in the technology and life sciences sectors, with a focus on underserved venture capital markets. Learn more at deepworkcapital.com.

About Data Point Capital

Data Point Capital focuses on highly scalable, capital-efficient technology companies across consumer internet, cloud-based enterprise software, and AI. The firm is made up of business executives and internet leaders who have created over $50 billion in market value through companies they founded or ran. Notable portfolio companies include DraftKings (DKNG), Rent the Runway (RENT), and numerous successful exits. Learn more at datapointcapital.com.

SOURCE FirmPilot AI, Inc