e2e
e2e is an open-source verification framework that checks coding agents' work as it's built, the way a user would. It runs in the developer's terminal and CI, supports web, iOS, and Android from a single codebase, and is model-agnostic, letting teams use any AI model with their own API keys. The framework combines agentic-driven actions with deterministic assertions for reliable testing.
- Developer Tools
- Software Only
- Artificial Intelligence
Funding
Raised to date
$9.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 2 rounds
BV
MU+1$8M · Seed
Announced Nov 2026
Disclosed cumulative: $8M
Not on chart (date unknown): Pre-Seed $1.2M
Founders
Founder details are not available yet.
Product
Problem
As coding agents become more prevalent in software development, verifying that each change actually works as intended has become a bottleneck. Traditional testing approaches are not designed for agent-generated code, and developers lack a reliable way to trust that their coding agents produce correct, functional results.
Solution
E2e provides an open-source verification layer that checks each change as it is built, the way a user would. The framework lives in the developer's repository, runs in the terminal and CI, and works alongside existing coding agents, making verification part of the building process. It is model-agnostic, allowing users to choose any model with their own API keys or subscriptions, and platform-agnostic, supporting web, iOS, and Android. E2e combines agentic-driven actions with precise locators and deterministic assertions to ensure thorough and reliable testing.
Target Audience
Primary users are software developers and engineering teams who rely on coding agents and need a reliable verification layer to ensure their agent-generated code works correctly across platforms.
Features
- Open-source framework (Apache-2.0 licensed) that is readable, modifiable, and runnable in any environment
- Agentic-driven actions paired with deterministic assertions for comprehensive verification
- Model-agnostic design supporting any AI model with user-provided API keys or subscriptions
- Cross-platform support for web, iOS, and Android from a single codebase
- Simple initialization via `npx e2e@latest init` for immediate setup
- Runs in terminal and CI environments, integrating with existing development workflows