What we build, and the offer that builds it.

Agents that work in production, not just in demos: tool calling through MCP servers or APIs, approval steps for risky actions, evals and tracing on every run, and graceful failure when a tool is slow or wrong.

What we build

• Customer-facing and internal agents
• Tool access scoped per action, with human approvals
• Evals in CI and OpenTelemetry tracing
• Deployment in your cloud, as code

Retrieval done properly: hybrid search, permission-aware results, citations on every answer and an eval harness, so you know answers stay accurate as your documents change.

What we build

• Hybrid retrieval (semantic and keyword)
• Answers with links to the source pages
• Accuracy evals on your own questions
• Scheduled ingestion that keeps content fresh

Contracts, invoices, forms and claims parsed, classified and extracted into clean records, with confidence scores and a review queue for the edge cases.

What we build

• OCR and model-based extraction pipelines
• Validation against your rules and reference data
• Confidence thresholds and a human review queue
• Clean output to your database, ERP or API

When prompting and retrieval aren't enough, a fine-tuned model can be faster, cheaper and more accurate on your task. We handle data preparation, training, evaluation and the inference endpoint.

What we build

• Curated training data with held-out eval sets
• A fine-tuned model scored on your benchmark
• Cost, quality and latency compared with the model you use today
• A production inference endpoint

Move from direct API dependencies to models running in your AWS, Azure or Google Cloud account. Keep data inside your network, control versions and capacity, and know the cost before you switch.

What we build

• Quality-parity evals on your own prompts
• A cost model, today and at higher volume
• Shadow traffic before cut-over
• A cut-over plan with rollback

Production AI is a systems problem. We set up infrastructure as code, eval pipelines as CI gates, monitoring, alerting, access control and scaling tuned to the spiky cost and latency of AI workloads.

What we build

• Infrastructure as code (Terraform or CDK)
• CI/CD with evals as gates
• Cost dashboards and budget alerts
• Tracing and quality metrics