LLMs that actually know your business.

We design retrieval-augmented systems with the rigour of production infra: chunking strategy, hybrid search, evaluation, guardrails and observability. Not a chatbot bolted onto your docs.

LLMs that actually know your business.

Built to actually move the needle.

01

Grounded answers

Hybrid retrieval, reranking and citations users can verify.

02

Eval-driven

Golden datasets, regression tests, continuous quality tracking.

03

Privacy-aware

On-prem inference options, scoped access, audit trails.

How we deliver.

01
Discovery

Data inventory, success metrics, latency budgets.

02
Pipeline

Ingest, chunk, embed and index with the right strategy.

03
Orchestrate

Retrieval, prompts, tools, evals — wired together.

04
Operate

Observability, drift detection and continuous tuning.

Tools we reach for.

OpenAI
Anthropic
pgvector
Qdrant
LangGraph
LlamaIndex
Python
TypeScript

Real-world examples.

Internal knowledge agent

Cross-system Q&A grounded in 40k docs with 12ms p95 retrieval.

Support copilot

Reduced average handle time by 38% across a 200-agent contact centre.

Ready to ship something exceptional?

Tell us what you're building. We'll respond within one business day.