Technology
Artificial Intelligence
Agents, retrieval, enterprise AI and observability.
Applied AI work at EmberGrids focuses on grounded systems: retrieval, agents, automation and the evaluation that makes them trustworthy in production.
Agents and retrieval
We build agent systems that connect models to real data through retrieval, so answers are current and attributable rather than invented.
- Retrieval-augmented generation
- Tool-using agents
- Context management
Enterprise AI
Enterprise AI means AI that survives contact with production: predictable latency, clear rollback and owners for every system.
Evaluation and observability
We treat evaluation as infrastructure. Quality, drift and cost are measured continuously, not assumed.
How an engagement works
- Clarify the buyer, problem, constraints and decision.
- Define the architecture, scope, deliverables and owners.
- Build through visible review gates with risks made explicit.
- Launch, hand over and agree the operating or improvement path.
What you receive
A documented scope, the agreed working output, decision records, delivery materials and a clear route into operation or the next phase. Outcomes are described without invented percentages or unsupported proof.
Ways to engage
Focused discovery, a defined project, an embedded delivery team or a phased partnership—selected to match the uncertainty and accountability required.
FAQ
Questions
Does EmberGrids train foundation models?
EmberGrids integrates and applies AI rather than claiming to train proprietary foundation models. Specific capabilities depend on the engagement and content supplied through our systems.