Five disciplines, one focus:
AI that works.

We build agents that do a job, not chatbots that demo well. Tool access to your real systems, memory and state, guardrails, and human handoff for the moments that matter. Voice agents included: telephony integration, transcription, and call flows that sound like your team — with an eval suite that measures every release before it talks to a customer.

Chat & voice agents · Tool use & orchestration · Memory & state · Human handoff · Evals & guardrails · Tracing & cost control

Migration to AI-native does not mean throwing away what works. We map your existing architecture, find where AI creates real leverage, and extend it service by service. Each phase ships to production, stays observable, and can roll back — so you see working AI against your own systems from the first sprint, not after a rewrite.

System assessment · AI extension & APIs · Phased rollout · Legacy integration · Rollback plans · Team enablement

Agents and search are only as good as the data underneath. We build the pipelines that move data from your databases, documents, and event streams into the shapes AI needs — vector stores, warehouses, clean training sets — with validation, monitoring, and schemas your team can operate without us.

ETL / ELT · Data migration · Vector ingestion · Streaming · Data quality · Warehouses & lakes

When a general-purpose model is not enough, we build one on your data: fine-tuned LLMs for your domain, custom voice models, and embedding or classification models trained against an eval set you can inspect. Training is eval-driven, so you measure the difference before you commit to it — and serving ships with cost controls.

LLM fine-tuning · Custom voice models · Embeddings · Classification · Eval-driven training · Deployment & serving

We implement semantic and hybrid search on your own content: indexing pipelines, retrieval, reranking, and answers with citations. Customers find the right product, your team finds the right document — and every answer is grounded in your data, verifiable rather than plausible.

Semantic search · Hybrid retrieval · Reranking · RAG answers · Indexing pipelines · Relevance tuning