Archal

Active

The eval platform for autonomous software

Summer 2026Founded 20262 peopleSan Francisco, CA, USA

www.archal.ai/ ↗LinkedIn ↗X ↗See on the Idea Map B2B momentum

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AI insightcan contain mistakes

Agent API Testing PlatformSaaSAI agents developers and autonomous software teamsMedium competition

Moat

Accurate SaaS clones with stateful behavior are hard to build and create strong stickiness once integrated.

Key risk

Large testing platforms could add agentic testing; limited addressable market if adoption of autonomous software stalls.

Why now

Agentic AI moving to production creates urgent testing and validation challenges for developers.

Competitors

Playwright, Sauce Labs, Custom mocking frameworks

About

Archal lets you test agents and code that touch third-party APIs without hitting the real services. We build working clones of popular SaaS platforms that hold state across requests and behave like the originals, so you catch bugs before your agent does something irreversible in production.

From their website

as of Jun 7, 2026www.archal.ai ↗

SaaSSubscription · Free plan: 500 session-minutes per workspace, 100 evals per workspace, 1 workspace (2 users max), 3 concurrent sessions. Pro/Teams: $99 per seat per month, 5,000 session-minutes per seat per month, 500 evals per seat per month, increased concurrent sessions, pooled usage. Enterprise: custom pricing

Archal is an eval platform that runs realistic scenarios against clones of real services to test autonomous software. It captures complete traces, supports replay and debugging, and integrates with CI to fail builds when behavior regresses.

Archal provisions stateful clones of real services (e.g., GitHub, Slack, Stripe, etc.) for each scenario. A scenario describes starting state, a task, and a success criterion. The platform executes the scenario against the clone, records every tool call, API request/response, and state change, and allows replay and diffing to diagnose regressions. These traces can be wired into existing CI so that failing behavior breaks the build on push. Clones persist state between runs and reset between scenarios, ensuring a known baseline for each test.

Who it’s for: Teams developing autonomous software that interacts with external services and requires end-to-end evaluation, trace capture, and CI integration.

Features