Agentic operations
Turn events, documents, and tool access into approval-aware operational decisions.
Specialized intelligence
for work with real constraints.
The platform is built for workloads where model quality, proprietary data, latency, governance, and compute availability must be designed together.
Explore solution patterns ↓Reasoning · tool use · structured outputExplore →
Enterprise knowledge
Build private search, retrieval, and explanation systems with document-level evidence.
AI-native products
Serve interactive and background agents across model and capacity lanes without locking the product to one endpoint.
Document intelligence
Extract, classify, validate, and escalate complex document workflows using vision and structured outputs.
Model modernization
Evaluate open-weight alternatives, adapt them to the task, and migrate behind a compatible API.
Regulated deployment
Design a model, data, network, and compute boundary that aligns with customer governance requirements.
PRODUCT–MODEL CO-DESIGNThe application and model
The application and model
improve together.
Production traces identify failure modes. Curated examples become evaluation data. Approved data improves an adapted release. The new release is measured against the old one before traffic moves.
Observe
Trace decisions and outcomesCurate
Turn failures into governed examplesAdapt
Improve model or route policyProve
Evaluate before promotionBUILT FOR THE WHOLE AI PROGRAM
One plan, different evidence.
Quality, user experience, release velocity, and the freedom to change models.
Evaluation, serving performance, observability, and a stable operating interface.
Data flow, access policy, model lineage, deployment boundaries, and reviewable controls.