Shipping a model is week one; keeping it accurate when user behavior shifts, upstream APIs go down or token bills spike is the real job. We wire CI evaluation gates, < 400 ms failover routers, per-tenant spend caps and 60-second rollback.
WHAT WE SOLVE IN PRODUCTION AI
An AI feature that works on a developer laptop can still go down during an OpenAI outage, hallucinate after a prompt edit or burn $5,000 overnight. We build the guardrails.
< 400 ms Auto-Switch · 99.95% Uptime Our health-checked router detects API timeouts or rate-limits in milliseconds and fails over automatically to a backup provider or private VPC model.
Set up failover routing
Semantic Cache + Per-Tenant Caps Cache repeated questions in Redis, route simple tasks to cheaper models and enforce hard daily dollar caps per user or customer workspace.
Cut our AI API bill
500-Case CI Regression Suite Every prompt edit or model update is scored automatically in GitHub/GitLab CI against 500 real test cases for accuracy, tone and JSON validity.
Wire CI evaluation gates
OpenTelemetry · Prometheus · Grafana When a customer reports a bad AI answer, inspect the exact retrieval chunks, prompt version, tool call and latency breakdown in one click.
Add AI observability
Terraform · Docker · vLLM · FastAPI We deploy and monitor your models on AWS SageMaker, Bedrock, Vertex AI or Kubernetes GPU clusters with automated scaling and 60-second rollback.
Deploy models on cloud
GDPR · HIPAA · SOC 2 · EU AI Act Local firewalls strip names, credit cards and secrets before prompts leave your server, and keep an immutable audit log for enterprise compliance.
Harden our AI privacyCHAOS & GUARDRAIL DRILL
Trigger any failure mode below to see how our MLOps layer protects uptime, quality and budget automatically.
[ "14:08:11.040 WARN primary_endpoint timeout > 350ms (circuit_breaker: OPEN)", "14:08:11.042 INFO routing_layer failover -> secondary_vpc_vllm (Llama-3-70B-VPC)", "14:08:11.420 OK response streamed · p50 380ms · user impact: 0%" ]
[ "CI Gate #419 RUN 500 held-out golden cases (parallel workers: 16)", "ASSERT FAIL json_schema_conformance: 88.2% (threshold >= 99.0%)", "VERDICT hard_fail · merge blocked · 14 failing diffs attached to PR" ]
[ "16:22:04 ALERT tenant_id=1084 token_velocity 12x baseline (85% daily cap)", "16:22:04 RULE policy_engine -> route to compact-8B tier + enable semantic cache", "16:22:05 SLACK notified #finops-alerts · runaway $4,000 overnight bill prevented" ]
PRODUCTION SLO CONTRACT
WHAT WE BUILD
No prompt or model ships if it regresses on your golden test set.
We version prompts, tool schemas and model weights in Git/MLflow and run automated accuracy, latency and safety assertions on every pull request.
99.95% AI availability and predictable unit economics.
Semantic and exact caching, automatic failover across providers/regions and hard per-tenant daily spend ceilings.
Trace every multi-step agent run and turn thumbs-down into test cases.
Full OpenTelemetry traces across retrieval, tool calls and model steps, with one-click export of failed traces straight into your golden evaluation set.
Audit-ready evidence of what data went where and who approved what.
Automated PII/secret scrubbing before inference, prompt-injection firewalls and immutable logs of every model call and human override.
WAYS TO START
Put tracing, spend caps, provider failover and a 200-case eval gate around your live AI.
Registry, CI evaluation, GPU/API serving, monitoring and compliance logging.
Monthly model benchmarking, drift triage and inference cost optimization.
Adjacent disciplines
Custom AI agents, voice AI, private company RAG and workflow automation.
ModelsCustom model training, fine-tuning and distillation.
CloudTerraform, AWS SageMaker, Kubernetes/GPU clusters and CI/CD pipelines.
SecurityLLM security, PII boundaries and SOC 2 / ISO 27001 compliance.
Version · Gate · Observe
Share your current model setup. We reply with an MLOps architecture plan within one business day.