AI features and LLM applications, built into real products

Who this is for

• Product companies adding assistants, summarization, search or automation to an existing app
• Businesses with document-heavy workflows (bills, contracts, applications) that want reliable extraction and review
• Startups building an AI-first product that needs a real engineering team, not just prompts
• Teams that prototyped something with an LLM and need it made production-grade

What's included

• Use-case discovery and feasibility: what the model can reliably do, what it can't, and what it costs
• LLM integration (Claude, GPT, Gemini) with prompt design, tool use and structured outputs
• Retrieval-augmented generation over your documents and data
• Agents and workflow automation with human-in-the-loop controls
• Voice and audio features (ElevenLabs, speech-to-text)
• Evaluation suites, monitoring and cost/latency optimization
• Privacy and compliance design (HIPAA-aware data handling, PII redaction)
• Full product build around the AI feature: web, mobile, backend

How it works

1. 1

   Discovery

   We identify the highest-value use case and run a quick feasibility spike with real data.

2. 2

   Prototype

   A working prototype in 2–3 weeks you can put in front of users.

3. 3

   Productionize

   Evaluation, guardrails, cost controls, UI and integration into your product.

4. 4

   Iterate

   Monitor quality and cost in production; improve prompts, retrieval and models over time.

Frequently asked questions