The end-to-end simulation engine that auto-generates
benchmarks - so you can ship agents 10x faster.
We run end-to-end simulations across chat, voice, workflows, and browser agents - capturing reasoning, tool use, recovery, and user variance under real-world conditions.
Each simulation run functions as a benchmark, capturing structured traces of agent behavior. These outputs provide both evaluation signal and high-quality data for post-training, fine-tuning, or tracking performance over time.
Janus integrates directly into development workflows, automating the evaluation loop from scenario generation to re-testing. This supports continuous validation and agent refinement without manual oversight.
Detect hallucinations
Identify when an agent fabricates content and measure hallucination frequency over time.
Catch policy breaks
Create custom rule sets and detect every moment an agent violates your rules so nothing slips through.
Surface tool-call failures
Spot failed API and function calls instantly to improve reliability.
Audit risky answers
Identify biased or sensitive outputs with fuzzy evaluations and catch risky agent behavior before it reaches users.
{
"cell": 1,
"value": 0.08
}{
"cell": 2,
"value": 0.16
}{
"cell": 3,
"value": 0.24
}{
"cell": 4,
"value": 0.32
}{
"cell": 5,
"value": 0.40
}{
"cell": 6,
"value": 0.48
}{
"cell": 7,
"value": 0.56
}{
"cell": 8,
"value": 0.64
}{
"cell": 9,
"value": 0.72
}{
"cell": 10,
"value": 0.80
}{
"cell": 11,
"value": 0.88
}{
"cell": 12,
"value": 0.96
}Custom Evals
Generate realistic eval data for benchmarking performance of your AI agents.
Actionable guidance
Receive clear suggestions to boost your agent's performance with every evaluation run.