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Patronus AI Raises $50 Million Series B and Unveils First Digital World Models for AI Agent Training and Simulation

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New funding will accelerate development of Digital World Models and large-scale simulation environments for long-horizon AI agents

SAN FRANCISCO, June 25, 2026 /PRNewswire/ — Patronus AI today announced a $50 million Series B led by Greenfield Partners and unveiled its Digital World Models, a new class of large-scale simulation environments designed to help AI systems train, evaluate, and improve across complex digital workflows. The round included participation from existing investors Notable Capital, Lightspeed Venture Partners, Datadog, Samsung, Factorial Capital, Gokul Rajaram, and leading AI and software executives.

Since launching less than three years ago, Patronus AI has become a leader in AI evaluation, simulation infrastructure, and reliability testing for frontier AI systems. Today, Patronus AI works with the majority of the world’s leading frontier AI labs and hyperscalers. The company’s revenue has grown more than 15x over the past year, reflecting growing demand for infrastructure that helps organizations train, evaluate, and deploy increasingly autonomous AI systems. The new funding brings Patronus AI’s total capital raised to $70 million.

Patronus AI was founded by AI researchers and engineers with backgrounds at organizations including Meta AI, Amazon AGI, and Google. The team’s experience spans LLM evaluation, AI alignment, fairness, and embodied agents, providing the technical foundation for the company’s work in simulation and evaluation infrastructure.

From Static Benchmarks to Simulated Digital Worlds

The first phase of generative AI was built on static internet text and benchmark leaderboards. But as agents move into longer, more complex workflows, the limitations of that approach are becoming increasingly clear.

An agent managing a customer escalation, navigating enterprise software, conducting research across thousands of documents, or debugging production infrastructure cannot be trained through benchmark memorization alone. These systems need dynamic environments that resemble the digital world they will actually operate inside.

Patronus AI is building what it describes as Digital World Models — language diffusion world models that are designed to scale the creation of simulation data to train and evaluate AI agent actions across complex digital workflows.

The company builds simulation infrastructure that allows AI systems to train on realistic software, research, communication, and enterprise workflows. Instead of optimizing for narrow benchmark performance, the goal is to produce agents that can operate reliably across ambiguous, long-horizon tasks.

“Benchmarks were never the destination,” said Anand Kannappan, CEO and co-founder of Patronus AI. “Static evaluations tell you whether a model can answer a narrow question in a controlled setting. They do not tell you whether an agent can navigate ambiguity, recover from failure, or operate reliably across long, unpredictable workflows. That requires environments where systems can practice, adapt, and accumulate experience over time.”

Introducing World’s First Digital World Models

Patronus AI believes simulations will become one of the defining infrastructure layers of the AI era.

The company’s research focuses on generating ecologically valid environments where agents can encounter edge cases, recover from failures, and improve through repeated interaction. This includes simulation tooling, evaluation systems, and diffusion-based Digital World Models that can generate increasingly sophisticated training environments over time.

The approach is designed to address one of the largest unsolved problems in AI: scalable oversight.

As AI systems become more capable, manual review becomes increasingly insufficient. Patronus AI’s long-term vision is to build systems capable of supervising, evaluating, and governing increasingly autonomous agents at scale.

“Manual review does not scale once AI systems begin operating across millions of workflows and decisions,” said Kannappan. “That is why simulations matter. They create environments where AI systems can be tested, improved, and supervised before failures happen in production.”

New Funding Fuels Research and Expansion

With the new funding, Patronus AI plans to expand its research organization, grow its engineering team, and invest in the compute and infrastructure required to train and run Digital World Models at scale.

“Patronus AI is tackling one of the most important infrastructure problems in artificial intelligence,” said Itay Inbar, Partner at Greenfield Partners. “The future of AI will depend on systems that can learn and operate reliably in complex environments, and simulations are becoming essential to making that possible.”

About Patronus AI

Patronus AI is a simulation and evaluation infrastructure company building Digital World Models to accelerate the next generation of AI agents. Founded by former Meta AI researchers Anand Kannappan and Rebecca Qian, the company develops large-scale simulation environments, evaluation systems, and reliability infrastructure that help AI research and engineering teams to build and deploy trustworthy AI systems.

For more information, visit https://www.patronus.ai 

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SOURCE Patronus AI

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CreditRefresh Members Challenge More Than 1,000 Potential Credit Report Errors in First Month

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Credit Refresh LLC brings advanced AI and full consumer control to a traditionally complex dispute process

DOVER, Del., Sept. 4, 2026 /PRNewswire/ — Credit Refresh LLC, creator of the AI-powered CreditRefresh platform, today announced that members used CreditRefresh to challenge more than 1,000 potentially inaccurate, incomplete, outdated or unverifiable credit report items during the platform’s first month.

CreditRefresh helps consumers conduct a detailed review of the credit report information they provide. Members decide what to address, review and edit their dispute materials, and control every step of the process themselves.

“Seeing members challenge more than 1,000 potential reporting errors during our first month reinforces our belief that consumers want a simpler and more transparent way to manage credit disputes,” said Jordan Reyes, Head of Product at Credit Refresh LLC. “CreditRefresh gives consumers advanced analysis and clear guidance while keeping every decision in their hands.”

AI trained for detailed credit report analysis

CreditRefresh uses advanced AI trained specifically to analyze credit report information with care and consistency. The technology reviews account-level details and applies structured checks across the information available for analysis.

This field-by-field approach helps members examine the information behind each account and understand which details may warrant further investigation. CreditRefresh can identify potential inconsistencies, outdated information, incomplete records and other details that may be difficult to recognize during a basic manual review.

CreditRefresh also makes the process easier for consumers who would otherwise attempt credit disputes without guidance. The platform organizes relevant information, explains potential issues in plain language and helps members prepare personalized dispute materials.

Consumers remain in control

Members choose which items to address, review the supporting information, approve the language used in their dispute materials, and decide whether and when to submit each dispute.

CreditRefresh encourages members to dispute only information they believe is inaccurate, incomplete, outdated or unverifiable.

“CreditRefresh was built to help consumers understand what appears on their credit reports and take informed action,” said Reyes. “Advanced AI handles the detailed analysis and organization. Members remain in control from the initial review through the final dispute decision.”

A promising first month

The more than 1,000 potential reporting errors challenged during the first month represent an early milestone for Credit Refresh LLC and demonstrate how consumers are using AI to take a more active role in the credit dispute process.

Each disputed item represents a decision made by a CreditRefresh member after reviewing the available information. Through this guided process, consumers can investigate potential errors and take an important first step toward better credit.

CreditRefresh does not promise a specific credit outcome. Results vary based on each consumer’s credit profile, the information disputed, creditor and credit bureau responses, and other financial activity.

A simpler approach to credit disputes

CreditRefresh combines systematic credit report analysis with the accessibility of a guided do-it-yourself experience. Members receive help understanding complicated report information while retaining personal control over the dispute process.

By making detailed analysis easier to access, Credit Refresh LLC aims to help more consumers understand their credit reports, investigate potential errors and take informed steps toward better credit.

About CreditRefresh

CreditRefresh is an AI-powered platform created by Credit Refresh LLC. CreditRefresh helps consumers review credit report information, identify potential reporting issues, prepare personalized dispute materials and manage the dispute process themselves. CreditRefresh is designed to make credit report disputes more understandable, detailed and accessible while keeping consumers in control.

Learn more at creditrefresh.ai.

Activity disclosure

The statement that members challenged more than 1,000 potential reporting errors is based on CreditRefresh platform records from July 28, 2026 through August 28, 2026. The total reflects credit report items selected for dispute by members. Submission of a dispute does not establish that the disputed information was inaccurate or guarantee a particular outcome.

Media contact

Maya Chen
Communications Lead, Credit Refresh LLC
press@creditrefresh.ai

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SOURCE Credit Refresh LLC

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Eightpoint Technologies Joins Enterprise Cayman and DMZ as Programme Partner for Launch Labs Incubator

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Eightpoint will support the inaugural 14-week programme connecting 18 ventures with mentorship, expertise and networks to help accelerate scalable growth

GEORGE TOWN, Cayman Islands, Sept. 4, 2026 /PRNewswire/ — Eightpoint Technologies Ltd. SEZC today announced that it has joined Enterprise Cayman and global startup incubator DMZ as a Programme Partner for the inaugural Launch Labs Incubator, a 14-week programme designed to help entrepreneurs strengthen their businesses, accelerate commercialisation and prepare for investment and scalable growth.

The programme, which runs from September 1 through December 4, 2026, brings together 18 Cayman-based and international ventures spanning technology, financial services, artificial intelligence, consumer solutions and other emerging industries.

As a Programme Partner, Eightpoint will support Enterprise Cayman and DMZ in providing participating founders with access to resources, expertise and connections designed to help them build and grow their businesses.

“Having built and grown our business from Cayman, we have seen firsthand the value of a strong, connected technology and entrepreneurial ecosystem,” said Thomas Redford, President of Eightpoint Technologies Ltd. SEZC. “Launch Labs is creating meaningful opportunities for founders to access the mentorship, expertise and networks that can help turn promising ideas into scalable businesses. We’re pleased to come on board as a Programme Partner and support an initiative that is investing directly in entrepreneurs while strengthening Cayman’s position as a place where innovative companies can build and grow.”

Eightpoint Technologies has operated within Cayman Enterprise City since 2018 and recently reaffirmed its long-term commitment to the Cayman Islands through an extended presence at Signal House in George Town. The company builds and commercialises digital products across desktop and mobile interfaces, giving its team firsthand experience developing technology products for consumers across international markets.

That experience closely aligns with Launch Labs’ focus on helping founders move from early-stage ideas toward sustainable, scalable companies.

“Eightpoint has been part of the Cayman Enterprise City community for many years, and we are pleased to have them joining Launch Labs as a Programme Partner,” said Charlie Kirkconnell, CEO of Cayman Enterprise City and Chairman of Enterprise Cayman. “Their experience building technology businesses from Cayman and serving international markets brings valuable perspective to the programme. Partnerships like this help us connect entrepreneurs with the experience, expertise and networks that can support their growth while continuing to strengthen Cayman’s innovation ecosystem.”

Supporting the Next Generation of Entrepreneurs

Powered by DMZ, one of the world’s leading startup incubators, Launch Labs combines weekly workshops, structured milestones, dedicated mentorship and founder activities across four core areas: strategic foundations, go-to-market and sales, financial and growth strategy, and execution and investor readiness.

For Eightpoint, participating in Launch Labs is an extension of the company’s broader commitment to supporting the technology community in the Cayman Islands.

“Eightpoint has benefited from being part of the Cayman community for many years, and we believe it is important to give back locally by supporting initiatives that create opportunities for others,” said Deniz Gezgin, CEO of Eightpoint. “Developing a strong technology ecosystem also means investing in people. Through programmes like Launch Labs, we hope to help create more pathways for local entrepreneurs and talent to develop their skills, build businesses and access meaningful career opportunities as Cayman’s technology sector continues to grow.”

The inaugural Launch Labs programme concludes December 4, 2026. Additional information about the programme is available through Enterprise Cayman at enterprisecayman.ky/launch-labs-incubator

About Eightpoint Technologies Ltd. SEZC: Eightpoint Technologies Ltd. SEZC is a special economic zone company based at Signal House in George Town, Grand Cayman, where it has operated within Cayman Enterprise City since 2018. It builds and commercialises user-first digital products across desktop and mobile interfaces. Eightpoint Technologies is one of a group of sister companies, each a separate legal entity. Learn more at eightpoint.io.

About Enterprise Cayman: Enterprise Cayman is a non-profit organisation powered by Cayman Enterprise City in partnership with Cayman Islands special economic zone companies. The organisation provides Caymanians and residents with access to learning experiences and opportunities to develop and launch new business ventures, pursue careers within the technology and innovation sectors, and connect with a network of industry professionals.

About DMZ: DMZ is a tech incubator and startup ecosystem that fuels entrepreneurship in Canada and beyond. Through its programmes, DMZ supports founders in scaling high-impact ventures and connects entrepreneurs with resources, mentorship and international networks. Headquartered in Toronto, DMZ operates a global network spanning more than 15 countries.

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SOURCE Eightpoint

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IFA 2026: Sunseeker Debuts 2027 LiDAR Models, Smart Garden Ecosystem and Industry‑First 3D Semantic Map

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The 2027 LiDAR lineup and intelligent garden platform mark a strategic shift from standalone mowers to a connected, adaptive outdoor ecosystem

BERLIN, Sept. 4, 2026 /PRNewswire/ — Sunseeker, a global leader in intelligent lawn care, unveiled five all-new 2027 LiDAR products at IFA 2026, alongside its Smart Garden ecosystem, AllSense™ 3.0, and MapOS™ with the industry’s first 3D Semantic Map for intuitive, real-scene lawn management.

Making its IFA debut, Sunseeker is expanding its vision beyond robotic mowing to build a connected Smart Garden ecosystem powered by AI, robotics, supporting smart irrigation, weed control, and the seamless integration of an expanding range of outdoor robots.

Sunseeker’s 2027 LiDAR lineup: precision, intelligence and scalability for every garden

Sunseeker’s 2027 LiDAR lineup is designed for effortless use: no manual mapping, no complexity. All five models come standard with LiDAR sensing. Among them, the S7 LiDAR Ultra AWD 3000 and S5 LiDAR Ultra Pro AWD 1800 feature AllSense™ 3.0, which uses 360° LiDAR to autonomously map and navigate the working environment, along with Smart Garden ecosystem and MapOS™. The S3 LiDAR Series utilizes solid-state LiDAR. All are engineered to deliver precise perception and reliable navigation across diverse garden environments. The S7’s AWD easily handles steep and uneven ground, including slopes of up to 80% (approx. 39°). The five models bring wire-free and antenna-free installation and centimeter-level navigation to gardens from 500 to 3,000 square meters. Availability begins in February 2027.

The S7 is designed for large and complex lawns and features an Extension Hub that supports accessories such as the EdgeZero trimmer head, enabling precise 0cm edge-to-edge cutting, as well as a robotic arm. The S5 brings advanced intelligence to medium and large family gardens, while the S3 Series provides wireless precision for smaller and sloped lawns. With 360° LiDAR and recognition of more than 360 types of obstacles, Sunseeker’s perception technology helps mowers detect and respond to objects more accurately, reducing the risk of collisions and helping users enjoy safer and more reliable autonomous mowing with less manual intervention.

Smart Garden: An Intelligent Ecosystem That Senses, Understands, and Recommends

At IFA 2026, Sunseeker introduced the Smart Garden ecosystem, bringing a more intelligent garden and lawn management experience to users.

Built on Sense, Understand, and Recommend, Sunseeker’s Smart Garden ecosystem connects robotic mowers, rain gauges, soil sensors (available 2027), and future autonomous robots into a unified intelligence network. By continuously monitoring rainfall, soil, lawn health, and environmental conditions, it builds real‑time garden understanding, transforming data into actionable insights through onboard Vision AI, multi‑modal sensor fusion, and cloud‑based AI models. For example, when yellow grass is detected, AI can help determine whether it is caused by drought or pests and recommend watering or pest control. Future integration with Smart Irrigation Control will further extend Smart Garden from sensing and recommendations to automated action.

Sunseeker also unveiled its FSA (Flexible Supervised Autonomy Outdoors) technology roadmap to explore the future development of autonomous outdoor care. Informed by discussions with Prof. Dr. Alan Akbik, Professor of Machine Learning at Humboldt University of Berlin, the roadmap aims to progressively reduce human intervention. With Sunseeker currently at the Level 3 (L3) Smart Garden stage and progressing toward L4 Supervised Autonomous Garden and L5 Supervised Autonomous Outdoors, the roadmap charts a clear path forward.

“AI will redefine the entire outdoor-care industry. As we progress from L3 toward L4 and L5, human involvement in outdoor work will continue to decline, helping address labor shortages and population aging,” said Prof. Dr. Alan Akbik.

“This evolution is already underway, and Sunseeker is committed to leading it,” said Terry Ma, CEO of Sunseeker. “We will continue to invest in AI and robotics, advancing from Smart Garden to Flexible Supervised Autonomous Outdoors to free users from routine outdoor work and give them more freedom to enjoy life.

MapOS™: Industry‑First 3D Semantic Map for Intuitive Lawn Management

Integrating AI semantic understanding, MapOS™ transforms visual information into a semantic map to create a digital representation of the garden with contextual understanding, the real-scene map will give users a clear view of the garden including both layout and key landscape elements, which further enables fine-tune boundaries point by point, designates no-go and safe zones, and customizes mowing settings directly on the map to make the lawn management more intuitive and precise.

For large or complex gardens, MapOS™ combines real-scene visualization with intelligent insights to reduce unnecessary remapping and manual intervention, delivering a more effortless lawn-care experience.

Accelerating growth through portfolio strength and global reach

Sunseeker Robotics achieved a threefold increase in revenue in 2026, driven by 14 products across 40 countries under its dual-brand strategy. The company continues to strengthen its Glocal strategy through localized partnerships, retail expansion and full-channel service capabilities. Its retail network has grown from approximately 1,500 points of sale in 2025 to about 5,000 in 2026, supported by partnerships with leading retailers, e-commerce platforms and regional distributors across Europe and the U.S.

Sunseeker is also expanding its presence through partnerships with national team and major sports clubs, including FFF (French Football Federation), SV Werder Bremen (Germany), Mantova 1911 (Italy), IFK Göteborg (Sweden) and F.C. Copenhagen (Denmark), Philadelphia Phillies (US), further strengthening its connection with local communities beyond product sales.

 

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SOURCE Sunseeker Robotics

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