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Tutor Intelligence Raises $34 Million Series A to Scale Its AI-Powered Fleet of Warehouse Robot Workers

Tutor Intelligence Raises $34 Million Series A to Scale Its AI-Powered Fleet of Warehouse Robot Workers

December 17, 2025 Craig Etkin

Union Square Ventures led the round to accelerate the company’s mission to revolutionize every step of the supply chain with its central robot intelligence platform.

WATERTOWN, Mass.–(BUSINESS WIRE)–Tutor Intelligence, an AI-powered fleet of warehouse robot workers, today announced the close of its $34 million Series A led by Union Square Ventures, bringing the company’s total capital raised to $42 million. With the new capital, the company will accelerate the commercialization of its state-of-the-art robots, scale its consumer packaged goods fleet, and advance its central robot intelligence platform and research infrastructure to power a suite of new robot form factors and capabilities. In addition to Union Square Ventures, known for its investments in Twitter, Coinbase, Etsy, and MongoDB; Fundomo, backers of Standard Nuclear, Mercor, Etched, and Atomic Semi, also participated in the round, along with follow-on investment from Neo, which led Tutor’s seed round and has invested in Cursor and Kalshi.

“Tutor stands out for its extraordinary speed of execution and its ability to balance cutting-edge product and model development with a clear commercial focus that quickly gets this functionality into customers’ hands,” said Rebecca Kaden, Managing Partner at Union Square Ventures. “They’re not building for an abstract future; they’re transforming how CPG companies operate today. The team is super fast and ambitious, and we’re thrilled to lead this financing.”

Founded out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Tutor Intelligence has built the data engine powering fleets of robots that move North America’s consumer packaged goods. This centralized intelligence system is changing robotic capability and applicability in manufacturing and logistics environments, logging tens of thousands of hours of real-world production experience that is continually reinvested to make the robots smarter, faster, and easier to use. The company’s robots work alongside human operators to process items for a vast Fortune 50 supply chain network, multiple Fortune 500 packaged food companies, and category-defining global leaders across personal care, toys, home goods, beauty, and consumer technology.

“When we started Tutor Intelligence nearly five years ago as grad students at MIT, we saw that the robotics intelligence bottleneck was the key barrier to robotic worker viability,” said Josh Gruenstein, co-founder and CEO of Tutor Intelligence. “We built a system that leverages on-the-job data to teach robots to navigate and understand the physical world with human-like intuition. This new capital enables us to expand our fleet, scale our robot training infrastructure, and empower our robots to tackle increasingly complex tasks, reshaping industrial work as we know it.”

Tutor robots use advanced visual intelligence to identify, adapt to, and handle virtually any SKU in live production. Unlike traditional robots that are pre-programmed to perform narrowly defined tasks in tightly controlled environments, Tutor robots can tolerate the imperfect realities and edge cases that define real-world operations. While other models are trained on simulated or synthetically-generated data, Tutor’s fleet collects rich visual motor data from performing tasks in the field. This real-world data is then collated to train better AI models, improving the product and the robots’ capabilities over time.

Tutor’s systems are delivered to customer sites just 30 days after signing, are typically fully operational just one day after delivery, and can be funded entirely from a company’s operating budget through a Robot-as-a-Service (RaaS) subscription-based model that mirrors traditional labor costs. By merging the best of automation with the accessibility of labor, co-packers, manufacturers, and third-party logistics (3PL) providers gain the reliability, efficiency, and cost advantages of advanced automation, without taking on the burden of ownership, maintenance, technical staffing, or long ROI timelines.

To learn more about how Tutor Intelligence’s robotic workers can automate constantly evolving operations, visit www.tutorintelligence.com.

About Tutor Intelligence
Tutor Intelligence is building the intelligence layer for the physical economy. Founded out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), the company designs, builds, and deploys vertically integrated fleets of AI-powered robots that work alongside people in complex manufacturing and logistics environments across North America. Through its Robots-as-a-Service (RaaS) model, Tutor delivers industrial automation that’s flexible, scalable, and proven in the most complex environments. To learn more, visit tutorintelligence.com.

Contacts

Media
Sage D’Amico
BIG FISH PR for Tutor Intelligence
tutor@bigfishpr.com

(c)2025 Business Wire, Inc., All rights reserved.


Venture Capital
Business Wire, Massachusetts, Tutor Intelligence, Venture Capital, Watertown

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Fabric, a leader in care delivery and consumer experience, has announced the acquisition of UCM Digital Health (UCM), a leading digital health and telehealth provider. The acquisition expands Fabric's services to about 400 new employer and payer customers, adding one million covered lives. Fabric now serves over 75 health systems, 30,000 employers, and over 100 million lives across all 50 states. This marks Fabric’s fifth acquisition in less than three years, underscoring its strategic build-and-buy approach to unify the fragmented digital health landscape. By expanding its footprint in the payer and employer markets, Fabric is extending its comprehensive care access and experience platform paired with its nationwide provider network to streamline virtual-first care, expand access, improve efficiency and outcomes, and reduce both medical and overhead costs.

In a statement Aniq Rahman, CEO and Founder of Fabric said, "For Fabric, it’s about making healthcare more accessible.” “We’ve already made meaningful progress in the payer and employer markets, and this acquisition allows us to deepen that impact. By bringing more payers and employers onto our platform, we’re creating a connected experience that streamlines workflows, reduces friction and costs, and ultimately drives better outcomes for members and our partners." Moving forward, the 400 payers and employers served by UCM will transition to Fabric’s expanded technology and clinical network, gaining access to enhanced omnichannel patient experiences that improve efficiency before, during, and after virtual care. Through Fabric’s nationwide provider network, patients can receive a treatment plan for most common medical conditions in just five minutes or connect with a behavioral health provider within three days.

Fabric is a health tech company on a mission to solve healthcare’s access problem. Fabric’s integrated care platform offers personalized guidance, streamlines workflows, and unifies experiences across virtual and in-person care. Its solutions support care delivery from a patient’s first search to post-treatment follow-up using its proprietary Hybrid AI that combines conversational AI and physician-built clinical logic. Together with a nationwide network of medical and behavioral health providers, Fabric is realizing its vision of providing care for everyone, everywhere. The company advances connected delivery that improves access, outcomes, and equity across every stage of the patient journey. Today, Fabric serves 30,000 employers, payers, and enterprise organizations, including OSF HealthCare, MUSC Health, Highmark, and Intermountain Health. Fabric is backed by General Catalyst, Thrive Capital, GV (Google Ventures), Salesforce Ventures, Vast Ventures, BoxGroup, and Atento Capital.
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Flex has closed a $60 million Series B equity round led by Portage, bringing total equity raised to $105 million. In the last year, the company has quadrupled revenue and tripled its payments volume to $3 billion as it scales its all-in-one business and personal finance platform for high-net-worth middle-market business owners. Running a profitable middle-market business has become one of the most complex financial jobs in America, with owners often juggling more than ten disconnected systems to manage their money. Flex was created to give these high net worth owners a single place to run both their business and personal finances. This latest $60 Million equity round, followed by its $200 Million debt and $25 Million equity raise announced earlier this year, builds on a period of rapid hypergrowth. In just 12 months, Flex has grown revenue fourfold and increased annualized total payments volume from $1 billion to $3 billion across a suite of products, positioning Flex as one of the fastest-growing fintech companies at scale with best-in-class capital efficiency.

Flex is building the category-defining company solving this gap for high net worth business owners with a five-pillar strategy built around private credit, a business finance stack, a personal finance stack, payment solutions, and an ERP built for middle market businesses. These customers now use an average of four or more Flex products. Flex’s Business Credit Card, which provides 60-day float on every transaction, has been a major driver of adoption, acting as the wedge into deeper financial operations. Once owners experience the benefits of the Flex Credit Card, they often go on to adopt Flex’s banking, payments, working capital, and expense management tools to replace fragmented legacy systems. This integrated model has allowed Flex to scale with high efficiency and has created a strong foundation for its expansion into personal finance.

Launched in 2023, Flex a Flexbase Technologies brand is the AI Native “Private Bank” for high net worth business owners in the middle market. Flex is building the category-defining company solving this gap for high net worth business owners with a five-pillar strategy built around private credit, a business finance stack, a personal finance stack, payment solutions, and an ERP built for middle market businesses. Flex is the first platform that supports every step of their financial lives, from the moment they earn revenue to the moment they spend it personally.
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Across the United States, a new industrial age is taking shape. Trillions of dollars in infrastructure, from energy projects and advanced manufacturing to data centers and critical mineral facilities, must be built in the next decade. But large construction projects are slower and more expensive today than they were half a century ago. Unlimited Industries, a California-based company using AI to rethink how infrastructure gets built, has raised $12 million in seed funding to change that. The round was co-led by Andreessen Horowitz and CIV, with participation from leading industry investors. The capital will accelerate Unlimited’s expansion and further develop its proprietary AI platform – one designed to make large-scale engineering and construction faster, cheaper, and more ambitious.

Unlike traditional construction firms or standard software companies, Unlimited is an AI-native construction company that both designs and builds. Its proprietary platform can generate and evaluate hundreds of thousands of design configurations in parallel, automatically identifying optimal layouts for cost, safety, and performance before construction begins. By integrating AI-driven design with its own vertically integrated engineering and construction teams, Unlimited eliminates the costly handoffs and misaligned incentives that have defined the industry for decades.

In a statement Alex Modon, Co-Founder and CEO of Unlimited Industries said, “Advances in AI mean we can finally build the physical world the way we build software.” “The traditional construction model is slow, brittle, and fundamentally misaligned. Our approach replaces static design choices with a dynamic, data-driven process that learns from every project. The result is faster, cheaper, and more successful projects.”

Unlimited is an AI-native construction company headquartered in San Francisco. Today, the company designs and builds across energy infrastructure, data centers, critical minerals, and advanced manufacturing, helping developers build with greater speed, ambition, and efficiency. Their mission is to build a future of radical physical abundance by automating construction end-to-end. The company was founded in 2025 by serial founders Alex Modon, Jordan Stern, and Tara Viswanathan.
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