We design and ship applied AI that earns its place in production — retrieval-augmented assistants, domain-tuned models, and decision systems wired into your real data. As the field moves fast from single chatbots toward agentic workflows that plan, call tools, and act across systems, we build with that trajectory in mind: multi-step agents grounded in your knowledge base, orchestrated with modern frameworks, and evaluated against real tasks rather than demo prompts. No demos that fizzle; measurable accuracy, guardrails, and evals baked in from day one, so you can adopt agentic AI without losing control of it.
How we'd build your assistant
A representative retrieval-augmented (RAG) architecture — the shape adapts to your stack
Illustrative reference architecture — adapted to your existing systems, not a fixed template.
- Your users (Client, Web · mobile · Slack): Wherever your team or customers already ask questions.
- API gateway (API, Auth · rate limits · logging): A single, observable entry point in front of everything else.
- Knowledge base (Data, Docs · tickets · CRM · DB): Your existing sources of truth — nothing duplicated, just indexed.
- Vector store (Data, pgvector · Pinecone · Qdrant): Indexed embeddings of your knowledge base for fast semantic search.
- Retriever (Service, Hybrid search + re-rank): Pulls the most relevant passages before the model ever sees the question.
- LLM (Model / AI, Frontier + open-weight fallback): Answers grounded in the retrieved context, not memory alone.
- Guardrails & evals (Service, Policy checks · eval harness): Blocks unsafe or low-confidence answers and scores quality continuously.
What's included
- RAG assistants grounded in your knowledge base
- Domain fine-tuning & evaluation pipelines
- Document understanding & extraction
- Recommendation & decision engines
- Safety, guardrails & human-in-the-loop review
Outcomes to expect
- 01Faster answers for customers and staff
- 02Hours of manual analysis removed weekly
- 03Decisions backed by your own data
Ready to build what's next?
Tell us about your project — we'll reply within one business day with a clear plan and a straight answer on fit.