The process map
Your site, drawn as the process it is.
Docks, staging, aisles, lines, gates and the paths between them, mapped once for each site. Every camera, zone and measurement sits where it belongs in the flow.
Step 4 of 4 · Improve
Your operation, mapped, with what to change next.
Camnitive draws each site as the process it is, lays what the cameras measure over every step, and ranks what to change by what it is worth. The AI explains and proposes. People decide.
The data on the map
What the cameras measure, laid over every step.
Throughput, dwell, queues, time in use and near misses appear on the step where they happen, so a bottleneck or a recurring risk shows up where it is, not in a spreadsheet.
Recommendations
What to change, ranked by what it is worth.
The AI looks across the map, the measurements and the history, and proposes changes: re-time a dock schedule, move a pedestrian crossing, add a shift to a queue that peaks. Each comes with the evidence behind it and its expected effect.
- Every recommendation links to the measurements and alerts it is based on.
- Accept one and it becomes a tracked action, in Camnitive or in Jira or ServiceNow.
- The effect is measured afterwards, on the same cameras.
Responsible by design
It explains and proposes. It never judges.
Explanations are written in the language of your own procedures, and actions are proposed for a person to approve. The models run inside your own environment, so the footage never leaves it.
Capabilities
Intelligence that assists, and never judges
Structured inputs, policy grounding, output validation, and human approval on actions: explainability without sacrificing auditability.
Event explanations in policy language
The on-prem VLM narrates each incident against your own SOPs: what happened, which policy applies, and why it was escalated.
Natural-language search
Find any moment across sites and weeks of footage by describing it. No timestamps, no scrubbing, no query language.
Summaries & reports on demand
Shift summaries, weekly safety reports, audit responses, generated from live operational data, grounded in evidence.
Natural-language rule authoring
Describe a rule in plain English and the Copilot compiles it into deterministic policy logic. Zero training data, zero-shot new use cases.
Proposed actions, human-approved
The Copilot drafts escalations and follow-ups; humans approve anything high-impact. Deterministic rules remain the source of truth.
Sovereign by design
VLM and LLM inference run on-prem on edge GPUs: your video, prompts, and policies never leave the envelope.
See it for your industry
Examples for your industry
See it on your own cameras.
A pilot on the cameras you already own, with success criteria agreed up front.
- Your own flow, step by step.Draw your process map