Enterprise AI
Models wired into your systems, not demos
We build AI layers that sit on top of your existing core systems — ERP, CRM, data warehouse — wired carefully into existing processes. RAG over your internal sources, agents that complete real tasks, and tests that measure stability before anything reaches production.
What this covers
- RAG over internal sources with document-level access control
- Integration into existing core systems, not replacement
- Performance monitoring — drift, hallucination rate, cost per request
- A clear POC-to-production path in 90 days
What's inside the sector
- RAG over internal sources with document-level access control
- Agents — automated workflows that complete real tasks
- Chatbots and voice assistants integrated with CRM / ticketing
- Domain fine-tuning of LLMs on a specific business vertical
- Monitoring — drift, hallucination rate, per-request cost
- MLOps — CI/CD for models, A/B testing, rollback
- A clear POC-to-production path in 90 days
Who it's for
IT and innovation leaders at mid-to-large organizations whose POCs never reached production.
Selected work
- NEXTAD — An AI engine that generates and personalizes interactive ads with up to 12% CTR — the result of a recommendation model trained on real interaction data.
- CmyLead — An AI layer over the customer's CRM that surfaces networking opportunities and auto-updates contacts from conference interactions.