AI Systems
Custom intelligence layers, autonomous agents, and inference pipelines built into the surfaces customers actually touch - not bolted on as features.
What we build inside ai systems.
Custom model orchestration
Multi-model routing, fine-tuned domain models, and evaluation harnesses tailored to the product surface.
Agentic workflows
Autonomous agents that handle research, retrieval, and operational tasks across CRMs, data warehouses, and tools.
Retrieval pipelines
Embeddings, vector search, and document ingestion engineered for sub-second relevance at production scale.
Inference infrastructure
Cost-aware routing, observability, and guardrails for latency-sensitive applications running 24/7.
Map the surface area
We audit every touchpoint where intelligence creates leverage - product, ops, marketing, support - and prioritize by impact.
Prototype the loop
Working agents and models in front of real users within weeks, instrumented to measure adoption and outcome quality.
Engineer for production
Hardening, evals, guardrails, and observability so the system performs reliably under real load and edge cases.
Compound the data
Feedback loops that turn usage into proprietary training signal - each interaction makes the next one sharper.