MLOps & LLMOps
Telemetry & CI/CD.
Eliminate silent AI failures. We implement rigorous observability, continuous evaluation gates, and failover gateways so your AI applications maintain 99.99% reliability in production.
How we monitor and safeguard production AI.
Instrumentation & OpenTelemetry
Inject non-blocking async spans into every model call, tool invocation, and retrieval query.
Automated CI/CD Eval Gate
Run 1,000+ synthetic test cases on pull requests to ensure prompts do not break critical edge cases.
Canary Rollout & Shadow Testing
Route 5% of live traffic to newly fine-tuned models while mirroring responses for automated scoring.
Drift Detection & Alerting
Real-time PagerDuty triggers when toxicity scores, refusal rates, or latency breaches SLA limits.
Industrial-strength LLM operations.
Continuous LLM Tracing & Token Cost Telemetry
End-to-end trace tracking for every agent step and prompt generation with sub-millisecond overhead, tracking token spend by tenant and model tier.
Automated Evaluation & Drift Benchmarking
Continuous synthetic evaluation suites testing model outputs against golden test sets for hallucinations, semantic drift, and regression after prompt edits.
Dynamic Model Fallbacks & Circuit Breakers
High-availability proxy gateways with automated failovers between OpenAI, Anthropic, Bedrock, and self-hosted vLLM clusters during provider outages.
Feature Store & Data Versioning Pipelines
Reproducible dataset snapshotting and zero-downtime model registry deployments with canary releases and instant one-click rollback.
Ready to secure and observe your AI?
Get complete observability, prompt CI/CD testing, and multi-provider failover configured.