Workflow intelligence
Agents that retrieve context, prepare work, call tools, and keep review points visible.
Work
NDA-safe view of the systems Engence builds.
Public case studies are intentionally skipped for now. This page shows the patterns of work we can discuss, with deeper examples available by email where appropriate.
Proof signals
The work sits where models meet tools, cameras, data, and operators.
Physical-world AI
Vision pipelines for detection, recognition, inspection, monitoring, and alerting.
Model systems
Custom retrieval, ranking, classification, extraction, and prediction systems tied to measurable outcomes.
Capabilities
Current public service areas.
These are the top-level categories. Individual projects are scoped around the workflow, risk, data, and deployment environment.
AI Agents
Agents that operate inside real workflows with permissions, audit trails, human review, and measurable reliability.
Computer Vision
Detection, recognition, inspection, and monitoring systems for environments where cameras become operational sensors.
Custom AI/ML
Custom models, retrieval systems, pipelines, and evaluations for problems that off-the-shelf tools cannot solve cleanly.
Have a workflow, model, or vision system that needs to ship?
Email the problem, the current system, and what a useful first production version would need to prove.
Helpful context
- What workflow or decision are you trying to improve?
- What systems, data, or cameras does the AI need to connect with?
- What would make the first production version successful?