Adapt

About Adapt

Adapt is a San Francisco-based AI startup developing a horizontal system of intelligence designed to function as an 'AI computer for business'. The company was founded by a team of seasoned entrepreneurs: Jim Benton, who previously led Chorus.ai to a $575M acquisition, Sean Smith, a distributed systems expert, and John Andrew Entwistle, a 2019 Thiel Fellow and founder of Wander and Coder. In February 2026, Adapt announced a $10 million seed funding round co-led by Activant Capital and Headline, with participation from Susa Ventures, building on a previous $3 million pre-seed round. Adapt's core product is a platform that connects a company's disparate software tools and data sources, allowing for centralized data access and workflow automation. It operates as a horizontal AI layer that integrates with a wide range of business systems via APIs, including CRMs like HubSpot, productivity suites like Slack and Google Workspace, and data warehouses like Snowflake. This integration enables the platform to interact with a company's data, systems, and workflows to provide contextual, evidence-backed answers to natural language queries. Users can interact with Adapt directly within their existing chat applications, such as Slack, to ask questions, automate tasks, and build internal tools. The platform's architecture is built to be compute-first and model-agnostic, spinning up isolated virtual machines for each task to write and run code, call APIs, and query databases. This approach allows Adapt to handle complex, multi-step processes across different systems, such as generating a report on customer churn by pulling data from a CRM, a payment processor, and a support ticketing system simultaneously. Key features include 'Adapt Apps', which transforms AI outputs into persistent graphical user interfaces for creating dashboards and internal tools, and 'Proactive Automation', which uses event-driven triggers to automate recurring workflows. The company employs a usage-based pricing model, eliminating per-seat license fees and charging based on the computational resources consumed, which allows an entire organization to adopt the tool with costs scaling alongside value.