One console for every model you have in production.
A single pane of glass for the AI lifecycle — model registry, evaluation harness, observability, cost controls, and policy enforcement. Built for teams running AI in production.
- Median deploy-to-production time
- 12 minMedian deploy-to-production time
- Regressions caught pre-deploy
- 94%Regressions caught pre-deploy
- Average LLM spend reduction
- −38%Average LLM spend reduction
Govern, deploy, and observe AI from one console.
Who gets the most out of it
- Platform teams supporting multiple AI product squads
- Organizations with model-risk or audit obligations
- Teams whose LLM spend has outgrown a spreadsheet
What ships in the box.
Model registry & versioning
Every model, prompt, and configuration versioned together with its evaluation results — so you always know exactly what is serving traffic.
Evaluation harness
Run your eval suite on every change and block deploys that regress. Results are stored and diffable across versions.
Live observability
Distributed tracing across prompts, retrievals, and tool calls, with full request replay for debugging weeks after the fact.
Policy guardrails
PII detection, toxicity screening, and brand-safety policies applied to both requests and responses, configurable per environment.
Cost & latency telemetry
Token and dollar attribution down to feature, team, and customer, with budget alerts that fire before invoices do.
Access & audit
SSO, role-based access, and an immutable audit log of every configuration change — exportable for your compliance review.
How the product is organized.
Each module is usable on its own and better alongside the others.
Registry
Version and promote models, prompts, and configs across dev, staging, and production.
Evals
Author, run, and gate on evaluation suites. CI-integrated with pass/fail thresholds.
Traces
Full-fidelity request tracing with replay, filtering, and saved investigations.
Guard
Policy engine for content safety, PII handling, and per-environment rules.
Spend
Cost attribution, budget enforcement, and forecast projections by team.
Works with what you already run.
Managed authentication and rate limiting for every connected system. Anything missing can be added with a typed HTTP block.
- Claude
- OpenAI
- Gemini
- AWS Bedrock
- Azure OpenAI
- Datadog
- Snowflake
- GitHub Actions
Straightforward pricing.
All plans include support from the engineers who built the product. Prices in USD.
Business
$4,800per month
Unlimited seats, SSO, 1-year retention, policy engine.
Get startedNeed something between tiers? Tell us what you need — we price to the shape of the deployment.
Common questions about AI Platform Suite.
A working AI Platform Suite demo, not a slide deck.
Thirty minutes with an engineer who built it. Bring a real use case and we will show you how it would actually be configured.