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Stitch

Shutdown

Stitch Labs provides reinforcement-learning environments that clone real business applications and data, allowing AI agents to be tested on realistic multi-step workflows. The platform uses connected application state and code-based grading to verify that agents produce accurate, consistent outcomes across systems like Gmail, HubSpot, and Carta. It also operates ernd, a rewards program where AI startups earn points on OpenAI and Anthropic spend to use on partner products.

Traction –/10
San Francisco, United States · HQ
350+ followers
  • Developer Tools
  • Artificial Intelligence
  • AI Agents
  • Software Only
Updated 20 days ago

Funding

Funding rounds are not available yet.

Founders

1 founder

Malcolm Wengel

Co-Founder & COO

San Francisco, United States

  • University of Pennsylvania

Farsight • Intern · BS Economics at The Wharton School

Product

Problem

AI agents are difficult to evaluate on realistic business work when tasks span multiple applications, depend on changing records, and require consistent outcomes across systems. In ordinary simulations, agents may receive credit for plausible responses even when actions leave important business records incorrect or inconsistent.

Solution

Stitch provides reinforcement-learning environments modeled on company operations, with cloned business applications populated with real company data. The applications are connected, so an action in one tool can affect records in others. Agents work through multi-step goals across those apps, including workflows that unfold over simulated days and depend on replies, uploads, or payments settling. After the work is complete, code-based checks compare records and outcomes against expected business facts, allowing teams to evaluate whether an agent actually completed the task accurately. For example, an environment can verify that a signed SAFE agreement, received investment, and cap-table entry agree.

Target Audience

Stitch serves teams developing and evaluating reinforcement-learning agents and autonomous systems that need realistic business tasks, connected application workflows, and objective outcome checks.

Features

  • Cloned environments with more than 13 business tools, including Gmail, HubSpot, Drive, Calendar, DocuSign, Mercury, and Carta, populated with real company data
  • Connected application state, allowing an action or event in one tool to update or affect records in other tools
  • Multi-step tasks that model employee workflows across applications and simulated time, including asynchronous replies, uploads, and payment settlement
  • Code-based grading that checks whether records across systems agree, rather than assessing only the plausibility or tone of agent responses
  • Financial workflow checks for items such as bank-line matching, ledger balances, payroll entries, and payment-to-revenue reconciliation
This profile is AI-generated and may contain inaccuracies.