00.01 PRODUCTION AI

Systems that
think with you.

We build production AI systems — RAG pipelines, MCP servers and agentic search products — integrated with the rigour of 20+ years of engineering practice.

Start a project ↗ See the knowledge platform case study
11
weeks to prod
871+
tests shipped
90%
coverage
18y
delivery
00.02 · LIVE SCHEMATIC
knowledge rag · hybrid search
QUERY INGEST UPSERT / SEARCH CANDIDATES RANKED SOURCES CITATIONS User SLACK / MCP 01 Content Sources WEBHOOKS 02 Embeddings DENSE + SPLADE 03 Vector Index HYBRID 04 Reranker VERTEX AI 05 AI Consumers CLAUDE · AGENTS
01.00 WHAT WE BUILD

Three surfaces, one discipline.

Every engagement spans ingestion, retrieval and response. We design each surface with the same engineering rigour — TDD, IaC, observability, docs.

01

Ingestion

Webhook-driven pipelines that keep your knowledge base in sync with vector indexes in near-real-time.

02

Retrieval

Hybrid dense + sparse search with RRF fusion and cross-encoder semantic reranking.

03

Serving

Ranked, cited sources served to any AI consumer — REST API, MCP servers for Claude, or agentic Slack bots.

02.00 FEATURED SYSTEM

Knowledge platform RAG — live schematic.

A production-grade RAG system on GCP. Trace the signal as it travels from a user question to ranked, cited sources.

02.01 · FULL PIPELINE
ingest → embed → search → rerank → sources
QUERY INGEST UPSERT / SEARCH CANDIDATES RANKED SOURCES CITATIONS User SLACK / MCP 01 Content Sources WEBHOOKS 02 Embeddings DENSE + SPLADE 03 Vector Index HYBRID 04 Reranker VERTEX AI 05 AI Consumers CLAUDE · AGENTS
11
weeks to production
194
commits
871+
tests
90%+
code coverage
03.00 DELIVERY

AI-augmented SDLC.

03.01 · HOW CODE GETS WRITTEN HERE
prd → blueprint → codegen → ci → prod
META-PROMPT SPEC GREEN DEPLOY PRD INTENT 01 Blueprint LLM 02 Docs LLM 03 Codegen TESTS FIRST CI/CD GH ACTIONS Production OBSERVED
// NEXT STEP

Ready to build a system that thinks with you?

An 8-week engagement takes you from question to deployed answer.

Start a project →