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Case Study: Automating Video Evals at Scale
Environments to Evaluate AI Agents
Janus accelerates AI evaluation for enterprises with curated environments and custom benchmarks.
Pathways Explored
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Tests Run
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Simulation Process
Evaluation workflow
Janus helps teams evaluate AI systems in days, not months, accelerating iteration and reducing failure rates before launch. We automate the full evaluation cycle from task generation through verification, with each test producing structured traces that power continuous improvement.
01
GENERATE
Synthetically generate tasks for your agent
02
TRIGGER
Execute agent workflows in simulation
03
TRACE
Capture every function call and API interaction
04
JUDGE
Evaluate with proprietary verification models
05
RESULTS
Get structured insights on failures and root causes
06
IMPROVE
Annotate results, fix agent, re-test instantly
Before Your AI Goes Live,
Make It Earn Your Trust.
Janus supports evaluation across chatbots, voice agents, browser-based tools, and autonomous workflows.
Our platform scales from early prototypes to production. For complex use cases, we partner with teams to calibrate KPI metrics, scoring rubrics, and test harnesses, ensuring a durable evaluation layer that supports continuous validation.
Our platform scales from early prototypes to production. For complex use cases, we partner with teams to calibrate KPI metrics, scoring rubrics, and test harnesses, ensuring a durable evaluation layer that supports continuous validation.
What We Offer
Building Blocks for Evaluation-First AI
End-to-End Evaluation Platform
Our core platform can run full-stack simulations across chat, voice, and workflow agents to validate AI systems pre-launch.
Evaluation & Post-Training Data
We deliver structured datasets and benchmarks tailored to enterprise tasks, generated from our simulation environments or through expert partnerships.
Consulting & Integration Support
Our team provides guidance on test generation strategies, tool selection, and evaluation architecture.
Capabilities
Detection Suite
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.
Stripe API
Postgres
Python Sandbox
Gmail
Slack Webhook
Surface tool-call failures
Spot failed API and function calls instantly to improve reliability.
Generated unauthorized financial advice.
Hallucinated patient diagnosis from medical records.
Revealed PII from protected health information.
Suggested discriminatory hiring practice.
Fabricated research citation that does not exist.
Disclosed confidential client contract terms.
Generated unauthorized financial advice.
Hallucinated patient diagnosis from medical records.
Revealed PII from protected health information.
Suggested discriminatory hiring practice.
Fabricated research citation that does not exist.
Disclosed confidential client contract terms.
Generated unauthorized financial advice.
Hallucinated patient diagnosis from medical records.
Revealed PII from protected health information.
Suggested discriminatory hiring practice.
Fabricated research citation that does not exist.
Disclosed confidential client contract terms.
Audit risky answers
Identify biased or sensitive outputs with fuzzy evaluations and catch risky agent behavior before it reaches users.
Custom Evals
Generate realistic eval data for benchmarking performance of your AI agents.
Modify architecture
Change prompt
Retry tool call
Fix data source
Reduce context
Actionable guidance
Receive clear suggestions to boost your agent's performance with every evaluation run.