Snapshots of what we build, and what changed because of it.

Problem

A support platform needed AI drafting without inventing facts about customer accounts.

What we built

Retrieval over tickets and docs, a citation contract, and evals that gate every release.

Outcome

• First-response drafting adopted by most agents
• Answer-quality regressions caught pre-release
• Per-conversation model cost bounded

Problem

Contracts and invoices arrived as PDFs and were re-typed into spreadsheets by hand.

What we built

Queue-backed ingestion, layout-aware extraction, and a review console for anything uncertain.

Outcome

• Manual entry reduced to exception handling
• Full audit trail per document and field
• Throughput scales with volume, not headcount

Problem

A founding team had signed pilots but only a prototype that could not onboard them.

What we built

Tenant isolation, role-based access, Stripe billing, and semantic search across listings.

Outcome

• Pilots onboarded on a self-serve flow
• Row-level authorization enforced in the database
• Handed to in-house engineers with docs and tests

Problem

Customers wanted answers from their data without waiting on a bespoke report.

What we built

An event pipeline and a constrained query layer that validates SQL per tenant.

Outcome

• Self-serve answers on curated metrics
• Query surface restricted to safe schemas
• Report requests to the team dropped sharply