Adapt Raises $10M Seed to Become the AI Computer for Business
•January 30, 2026
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Companies Mentioned
Why It Matters
The funding validates a shift toward enterprise‑wide AI operating systems, promising faster adoption and tangible efficiency improvements across organizations.
Key Takeaways
- •Adapt raised $10M seed led by Activant, Headline.
- •Platform adds horizontal AI across roles, not just vertical assistants.
- •Integrates with HubSpot, Google Workspace, Slack via API.
- •New Adapt Apps turn AI output into live GUIs.
- •Proactive Automation enables AI agents to act before prompts.
Pulse Analysis
Enterprises have long struggled with siloed AI deployments that sit apart from the data and tools employees actually use. While large language models are increasingly accessible, their value diminishes without real‑time context from a company’s own systems of record. Adapt’s approach tackles this gap by embedding AI directly into the platforms where work happens—chat, CRM, and collaboration suites—so that queries are answered with up‑to‑date, organization‑specific information, turning generic models into true knowledge workers.
The startup’s technology stack combines frontier models, a company‑wide knowledge graph, and a security‑first sandbox architecture. By automatically discovering and mapping any API, Adapt creates a unified interface that lets AI agents read, write, and orchestrate actions across disparate services while preserving governance controls. The recently unveiled Adapt Apps let users generate persistent graphical interfaces from natural‑language prompts, and Proactive Automation adds a layer of anticipatory actions, surfacing insights and executing tasks before users even ask. This blend of integration depth and governance addresses the chief barrier to AI adoption: trust.
Adapt’s $10 million seed round signals strong investor confidence in a market moving beyond point solutions toward comprehensive AI operating systems. Competitors are racing to offer similar horizontal platforms, but Adapt’s focus on plug‑and‑play integrations and proactive, secure automation differentiates it. If the early customer results—hours saved weekly and support tasks cut from 45 minutes to one—scale, the company could accelerate the broader enterprise shift from AI experimentation to AI‑driven productivity, reshaping how organizations allocate human and technical resources.
Adapt Raises $10M Seed to Become the AI Computer for Business
Adapt, the San Francisco-based AI startup, today announced $10 million in seed funding co-led by Activant and Headline to become the AI computer for business.
Adapt, the San Francisco-based AI startup, announced $10 million in seed funding to become the AI computer for business. The round was co-led by Activant Capital and Headline with participation from Susa Ventures, Predictive VC, and angels including Shuo Wang, Leo Polovets, Julian Weisser, and Kyle Tibbitts.
The funding validates Adapt’s mission to make any company instantly AI-native. Their solution moves beyond vertical AI assistants to a horizontal AI platform that enables any role in an organization to collaborate with frontier AI agents, grounded in the context of their company’s data, systems, and workflows.
Routine data requests used to land on engineering’s plate constantly. Now the entire team can get answers in seconds. We’re saving our engineers from hours of busy work every week.”
— Nathan Potter, CTO of Wander
Most enterprise AI usage today is still happening in silos, disconnected from where work actually happens and where the relevant business data is stored. While AI models have become increasingly accessible and intelligent, the context required for these AI models to be effective with company data is still stored in static systems of record that have limited AI capabilities.
“The last twenty years of software were about capturing data in systems of record. The next twenty will be about acting on that data,” said Andrew Steele, Partner at Activant Capital. “Adapt is building the solution that finally frees up humans from acting as middleware. It gives everyone in the company an interface to partner with AI to do more meaningful work.”
Adapt connects to any system with an available API, with pre-built integrations for common business systems like HubSpot, Google Workspace, and Slack, and learns how to best interact with a company’s APIs, tools, and people through advanced company knowledge and memory capabilities.
“We combine frontier models, company context, and powerful sandboxes into a single AI computer,” said co-founder and CEO, Jim Benton. “Once Adapt is set up, anyone can use it in your team chat. We believe Adapt should be everywhere you work, and for most business users, that’s in Slack, Microsoft Teams, or other business systems.”
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Mathias Schilling, Managing Partner at Headline, cited Adapt’s focus on agent infrastructure and governance as a critical differentiator in a crowded market.
“We believe the biggest bottleneck to AI adoption is trust,” said Schilling. “Adapt is not just building AI computers—they’re building the knowledge worker’s new operating system. Their security-first architecture gives companies of all sizes the control they need to let AI agents actually touch production systems.”
Alongside the funding, Adapt announced two major platform releases: Adapt Apps and Proactive Automation.
Adapt Apps transform AI-generated outputs into persistent, graphical user interfaces (GUIs). Users can create live dashboards, internal tools, or custom software through natural language, then save and relaunch them instantly, each powered by real-time data from connected business systems.
Proactive Automation advances Adapt’s on-demand agentic capabilities with automated actions, proactive education, and continuous monitoring through observing systems in the background, surfacing insights, and taking action before users ask.
“AI only becomes transformational at work when it lives where you work, has full context across your systems, and can take action like a highly capable teammate,” said Benton. “Adapt brings that experience – previously reserved for engineering teams given months to build custom solutions – to everyone in the company, instantly.”
Customers of Adapt are experiencing meaningful results. “Routine data requests used to land on engineering’s plate constantly,” said Nathan Potter, CTO of Wander, an Adapt customer. “Now the entire team can get answers in seconds. We’re saving our engineers from hours of busy work every week.”
Another Adapt customer, Joshua Browder, Co-founder and CEO of DoNotPay, shared that a task which previously took a customer support agent 45 minutes now takes only one minute.
Also Read: The Death of the Questionnaire: Automating RFP Responses with GenAI
[To share your insights with us, please write to psen@itechseries.com]
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