AI features that do real work, not demos.
We build LLM-powered products and automations: assistants grounded in your data, document processing, voice and vision agents. With evaluations and guardrails so they're reliable in production.
Ideal for
- Products adding AI features
- Teams automating document-heavy work
- Support and ops teams scaling without headcount
Typical timeline
2–6 weeks for a production pilot
Capabilities
What we build for you.
Assistants & copilots
Chat and in-app assistants grounded in your docs, database and tools.
RAG & search
Embeddings, retrieval pipelines and hybrid search tuned for accuracy.
Agents & automation
Multi-step agents that read, decide and act across your systems.
Evals & guardrails
Test suites, monitoring and cost controls so quality stays measurable.
Deliverables
What you get.
- 1Use-case discovery and feasibility
- 2Working AI feature or product
- 3Evaluation suite and dashboards
- 4Deployment, monitoring and handover
Technology
Tools we trust.
- Claude
- OpenAI
- Gemini
- LangGraph
- pgvector
- Python
- Next.js
We pick tools for your requirements, not ours. Everything is documented and deployed to accounts you own.
FAQ
AI & LLM Apps, answered.
Which model do you use?
Whichever fits the job. We benchmark Claude, GPT and Gemini on your data and pick on quality, latency and cost.
Is our data safe?
We use enterprise API tiers with no training on your data, and can deploy inside your own cloud.
How do you prevent hallucinations?
Grounding in your sources, citations, structured outputs and evals that catch regressions before users do.
Other services
Ready to talk AI & LLM Apps?
Tell us what you're building. You'll get a clear scope, timeline and estimate within 48 hours. No obligation.