Bespoke Labs announces $40M to build the environments that train reliable agents. July 7, 2026 Press play to listen to this content MOUNTAIN VIEW, Calif., July 7, 2026 - Bespoke Labs, an AI agent training platform, has announced that it has raised $40 million across a Series A round led by Wing VC, with participation from Mayfield, The House Fund, dbt Labs CEO Tristan Handy, and other angels from Anthropic, OpenAI, and Meta, as well as a seed round led by 8VC, with participation from Jeff Dean, Resolve AI CEO Spiros Xanthos, DevRev CEO Dheeraj Pandey, and others. The company will use the additional capital to expand its research team, scale its environment-building infrastructure, and accelerate its business momentum. Today's AI agents are powerful but unreliable. They can write code, answer questions, and complete short tasks, but they still struggle to operate autonomously over hours or days the way a human coworker does. To improve, agents need realistic environments to practice in, learn from, and be measured against. Independent benchmarks from METR show that the length of tasks AI agents can reliably complete has been doubling roughly every seven months. Sustaining that trajectory requires environments that grow in complexity at the same pace, which is exactly the problem Bespoke Labs was built to solve. Bespoke Labs is behind the environments and tooling that sit underneath reliable agents. The company designs and builds environments that look and behave like real companies: large codebases, microservices, realistic logs, tickets, email, Slack, and more, so agents can learn long-horizon workflows that are economically meaningful. "Frontier labs, enterprises, and all organizations relying on reliable agents need access to high-quality environments," said Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs. "This is the critical piece needed to optimize and develop agents. That's why we are focused on doing research around environments, building the infrastructure around environments, and building the environments themselves." Once the environments exist, Bespoke Labs helps organizations measure and improve agents using techniques like Genetic-Pareto Agent Optimizer (GEPA), which automates prompt and policy search to reach higher accuracy faster than manual prompt engineering. Bespoke Labs' customers use its infrastructure to train, evaluate, and optimize their agents. While other companies build simple, app-level environments using contractors, Bespoke Labs builds cutting-edge reinforcement learning environments using research techniques that the company develops in collaboration with the academic and open-source community. "We work with labs on research programs spanning reinforcement learning, environment curation, benchmarking, and long-horizon modeling so that environments keep pace with the frontier of agent capabilities," said Alex Dimakis, co-founder and Chief Science Officer of Bespoke Labs. "I'm proud that we are a research lab pushing the frontier on environment infrastructure and curation." Bespoke Labs takes a research-first approach. The team is made up of research scientists and engineers, not the project managers and contractors that other companies rely on. Bespoke Labs is a core contributor to Terminal-Bench, one of the most widely cited benchmarks for agentic capability, and the team behind OpenThoughts, an open reasoning dataset that has been downloaded more than 500,000 times and used by groups including Thinking Machines Lab, Meta, and Amazon. That same research muscle powers the company's environment work: novel curation pipelines, methods for generating environments synthetically, and techniques for snapshotting real-world infrastructure and recreating it as a training environment. "As frontier labs and AI-native enterprises push the boundaries of long horizon agentic capabilities, a new generation of data and training infrastructure is required," said Peter Wagner, Founding Partner of Wing Venture Capital. "Mahesh and Alex deeply understand the needs of leading AI researchers, and are building Bespoke Labs on a unique research-driven foundation to help advance and scale the state of the art." About Bespoke Labs Bespoke Labs is a research lab building the environments and infrastructure that make AI agents reliable. Founded in 2024 by Mahesh Sathiamoorthy and Alex Dimakis, Bespoke Labs builds the reinforcement learning environments and infrastructure that let frontier labs and enterprises train, evaluate, and improve long-horizon agents for production. Bespoke Labs leads with open research, actively contributing to OpenThoughts, Terminal-Bench, and GEPA. The company has financial backing from Wing VC, 8VC, Mayfield, The House Fund, Jeff Dean, Resolve AI CEO Spiros Xanthos, DevRev CEO Dheeraj Pandey, dbt Labs CEO Tristan Handy, as well as other angels from Anthropic, OpenAI, and Meta. Bespoke Labs is based in Mountain View, California. Learn more at bespokelabs.ai.

Bespoke Labs has raised $40 million to build training environments for AI agents. The funding comprises a Series A round led by Wing VC and a seed round led by 8VC, with participation from Mayfield, The House Fund, and executives from Anthropic, OpenAI, and Meta. The Mountain View-based company, founded in 2024 by Mahesh Sathiamoorthy and Alex Dimakis, creates realistic corporate environments—complete with codebases, microservices, and communication tools—where AI agents can practise long-term tasks. The platform helps organisations measure and improve agent performance using techniques like its Genetic-Pareto Agent Optimizer. Bespoke Labs takes a research-first approach, contributing to Terminal-Bench and OpenThoughts, which has been downloaded over 500,000 times. The capital will fund research expansion, hiring, and infrastructure scaling.