Your company already knows the answer.
Production RAG pipelines that index every document, ticket, transcript, and codebase — then let any team query them in plain English.
Information is everywhere. Knowledge is nowhere.
Wiki rot. Slack archaeology. The same questions answered weekly. Every company has a knowledge gap that compounds quietly.
Retrieval that respects your structure.
BM25 + dense + structured filters, fused intelligently.
ACLs honored at query time. Zero leakage.
Every claim links to its source span.
Thumbs-up data improves retrieval over time.
From kickoff to production,
in the open.
- 01
Corpus audit
Inventory sources, formats, and access patterns.
- 02
Pipeline design
Chunking, embeddings, indexing strategy.
- 03
Retrieval evals
Golden queries with measurable hit rates.
- 04
UI & interfaces
Chat, search box, and API surfaces.
- 05
Operate & tune
Continuous indexing and relevance tuning.
The tools we reach
for first.
- Pinecone
- Weaviate
- pgvector
- Vespa
- OpenAI
- Cohere
- Voyage
- Custom
- Claude
- GPT
- Mistral
- Llama
- Airflow
- Temporal
- S3
- Kubernetes
What you get when this lands.
Every answer cites its source.
Permissions enforced at retrieval time.
New hires reach productivity in days, not months.
A real engagement
in this shape.
A new fraud-detection platform, deployed in 14 weeks.
We rebuilt Nuvo’s fraud platform around a real-time agentic decision engine — cutting false positives by 64% while accelerating settlement.
Things people
usually ask.
Yes. Most of our value is in the cleaning, chunking, and re-ranking layers.
Services that
often pair with this.
Let’s scope what this looks like for you.
A 30-minute technical conversation. No slides, no salespeople.