Lark provides an end-to-end testing layer for AI-driven development, letting teams write E2E tests in plain English. The platform validates dashboards, APIs, SDKs, and product flows without requiring fragile test code to be maintained. It targets the testing gap created when AI tools generate large volumes of code quickly. Lark was part of Y Combinator's Summer 2025 batch and is based in San Francisco.
Lark
ActiveThe E2E testing layer for AI-driven development
Total raised
$500K
1 round
Stage
Seed
Jan 2025
Team
1-10
since 2025
Pricing
—
Founded
2025
San Francisco, United States
Agent-ready
—
End-to-end testing layer for AI-driven development
Plain-English authoring of E2E tests
Validation of dashboards, APIs, SDKs, and product flows
No fragile test code to write or maintain
Designed for high-velocity AI-generated codebases
Coverage across multiple surfaces of a product
San Francisco-based team
Y Combinator (Summer 2025) backing
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2025 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What is Lark?
- Lark is an end-to-end testing layer for AI-driven development that lets teams write E2E tests in plain English instead of maintaining fragile test code.
- What can Lark test?
- It validates dashboards, APIs, SDKs, and product flows.
- Why is Lark aimed at AI-driven development?
- It addresses the testing gap created when AI tools generate large volumes of code quickly and traditional test maintenance can't keep up.
- Is Lark backed by an accelerator?
- Yes, Lark was part of Y Combinator's Summer 2025 batch and is based in San Francisco.
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