Trust and governance
for AI in production
Verixa Lab helps teams safely deploy and upgrade LLMs and AI agents by continuously evaluating real production traffic — without manual QA and without exposing sensitive data.
Why shipping AI safely is still hard
Teams rely on offline benchmarks or generic LLMs to evaluate new model versions. What looks good in staging often breaks in production.
Offline evals miss reality
Benchmarks don't reflect real user behavior or edge cases in production.
LLM judges are slow & noisy
General-purpose LLM evaluators are expensive, inconsistent, and hard to calibrate.
Security blocks external APIs
Compliance teams won't allow sensitive production data sent to third-party services.
Manual QA can't keep up
Iteration speed outpaces any human review process.
How Verixa Lab works
Four steps from production traces to confident releases.
Ingest production traces
Capture real inputs, outputs, tool calls, and outcomes from your AI systems.
Replay on new models
Run the same traffic against candidate LLM or agent versions in shadow mode.
Evaluate with SLMs
Specialized evaluator models score quality, safety, and behavior drift at low latency.
Govern releases
Get clear go/no-go signals, regression alerts, and rollout guidance.
Purpose-built evaluation
for production AI
Verixa Lab uses specialized in-house evaluator models (SLMs) designed for low-latency, high-throughput evaluation. They provide consistent, calibrated signals and run inside your own cloud for security and compliance.
- ✓Trained for assessment, not generation
- ✓Low-latency scoring for live shadow evaluation
- ✓More consistent than general-purpose LLM judges
- ✓Private deployment inside your VPC
Ship AI upgrades with confidence
We're partnering with teams deploying LLMs and AI agents in production. Join early access to get started.