Service · Build
Custom LLM apps, RAG pipelines, predictive models, and autonomous agents — designed, built, and deployed on your infrastructure by a pod of senior AI engineers.
what we build
Chat interfaces, copilots, and internal tools — with your prompts, your data, your brand voice.
Retrieval-augmented generation over your docs, tickets, and code — with permissions and audit logs.
Task-level agents that run workflows across your SaaS stack with observability built-in.
Forecasting, churn, demand, risk — ML models deployed as APIs or dashboards.
Sentiment, intent, classification, summarization, and entity extraction at production scale.
Object detection, OCR, visual search, and quality control — on-device or cloud.
the process
2-hour workshop. We map data, users, success metrics, and constraints.
Week 1 delivery. Working prototype against real data, not mock demos.
Week 2–4 hardening. Evals, monitoring, permissions, and deployment.
Optional retainer. We tune, expand, and improve as your usage grows.
the stack
We pick the best model and framework for the job — and integrate with what you already run.