Agent evaluation platform

Know your AI agents work before your customers do.

Forge tests, governs and improves your agents on every release. You see how they reason, where they fail and what to fix next.

Evaluation run · illustrative
ProductAgent · v1.4
Release gate passed
Task success100%
Reasoning quality99%
Policy compliance96%
Hallucination rate0%
29 scenarios · 9 regressions caught · reviewed by the release board
The framework

Five letters, one discipline for production agents

F.O.R.G.E. stands for Framework for Orchestrated Reasoning, Governance & Evaluation. Each part answers a question your risk, product and engineering teams already ask.

F
Framework

One shared method to define what “good” means for each agent, from use case to acceptance criteria.

O
Orchestrated

Multi-agent flows and tool calls are traced end to end, so you test the whole chain, not one prompt.

R
Reasoning

Every step of an agent’s reasoning is recorded and scored, so you see why it answered, not only what.

G
Governance

Policies, guardrails and approvals live next to the tests, with an audit trail your risk team can read.

E
Evaluation

Automated judges and human reviewers score each release against the same scenarios.

How it works

A loop that runs on every release

Forge plugs into your delivery pipeline. Each change to a prompt, tool or model goes through the same four steps.

01Define

Set the bar

Turn business rules and real conversations into scenarios, metrics and pass thresholds.

02Evaluate

Run the suite

Forge replays every scenario on the new version and scores answers, tool calls and reasoning.

03Govern

Gate the release

A release moves forward only when it clears your thresholds and the right people sign off.

04Improve

Fix what failed

Failures become new scenarios. Production feedback flows back into the next run.

Capabilities

Built for teams that ship agents to real users

Scenario test suites

Write the conversations your agent must handle, including the awkward ones. Forge replays them against every version and scores each answer on accuracy, tool use and tone.

Automated and human review

LLM judges score at scale. Experts review the edge cases and calibrate the judges.

Release gates in CI/CD

Block a deployment in GitHub Actions, GitLab or Azure DevOps when scores drop.

Guardrails and audit trail

Every run, score and approval is logged and exportable for AI Act documentation.

Drift monitoring

Sample live traffic and get alerted when quality moves away from your baseline.

Model-agnostic

Compare GPT, Claude, Gemini, Mistral or your own models on the same scenarios.

Product teams

Ship new agent versions with evidence they are better, not a gut feeling.

Risk & compliance

Review policies, test results and approvals in one place, release by release.

Platform engineering

Add quality gates to the pipelines you already run, with no new stack to maintain.

See how your agents score.

Bring one agent and a handful of real conversations. In a 45-minute session, our experts run them through Forge and walk you through the results.