Common AI delivery tracks
- Internal AI assistants with secure knowledge retrieval (RAG)
- Customer support automation and agent workflows
- AI-enabled product features for mobile and web apps
- Model orchestration with backend integrations and monitoring
We build useful AI systems for real operations: retrieval-backed assistants, workflow automation, and product features tied to measurable business value.
Charlotte companies need AI systems that are reliable and maintainable, not demo-only. We integrate AI with product engineering, observability, and operational controls so the result behaves like real software.
If you're evaluating copilots, automations, or AI features inside an existing product, we'll help you scope the right starting point and ship a measurable first release.
We focus on grounded behavior, quality measurement, and operational readiness.
We connect models to your docs and data with retrieval so answers stay accurate and explainable.
We track quality, cost, latency, and failure modes so systems improve over time instead of drifting.
Rate limiting, approvals, audit trails, and safe fallbacks keep AI dependable in real workflows.
We'll align on workflows, risks, and milestones, then ship a production-ready first iteration.