Use-case discovery
A prioritized portfolio of AI opportunities scored on value, feasibility and risk.
AI & GenAI
Help businesses adopt AI where it creates real value.
From strategy to production: LLM integration, RAG, agents and automation — measured against business outcomes and engineered for reliability.
Sound familiar?
- “Your team has access to AI tools but no clear path to business value.”
- “A promising GenAI prototype never made it to production.”
- “You're worried about accuracy, privacy and runaway costs.”
Capabilities
- Generative AI
- LLM integration
- AI agents
- RAG systems
- AI-powered search
- AI copilots
- Document intelligence
- Recommendation systems
- AI automation
- Workflow automation
- Model integration
- AI strategy
What we deliver
How we approach AI & Generative AI.
RAG & knowledge systems
Retrieval pipelines over your documents and data with access control and citations.
Agents & automation
Tool-using agents for multi-step workflows, with human-in-the-loop where it matters.
LLM integration
Model selection, prompt and context engineering, structured outputs and fallbacks.
Evaluation & guardrails
Offline evals, online monitoring, safety filters and regression tests for AI behavior.
LLMOps
Cost tracking, caching, latency budgets, versioning and observability for AI in production.
AI, built in
AI is the product here — but we connect it to your data platform, backend and DevOps so it behaves like any other production system.
Typical stack
- OpenAI
- Open-weight LLMs
- LangChain
- LlamaIndex
- pgvector
- Vector databases
- Python
- MLflow
Start a conversation
Let's talk about your AI & Generative AI needs.
Tell us what you're building, what isn't working, or where you want to go next. A senior engineer will get back to you — not a sales script.