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.
An on-prem VLM + LLM layer that explains every event in the language of your own SOPs, answers natural-language questions, and drafts reports and proposed actions — running entirely inside your sovereign envelope. It explains and proposes. It is never the judge.
AI Explanation — live example
“Forklift lane breach at Dock 2, third this shift. SOP 4.2 escalation created; shift supervisor notified.”
Evidence sealed · policy referenced · escalation logged — processed in-country, audit-grade.
Structured inputs, policy grounding, output validation, and human approval on actions — explainability without sacrificing auditability.
The on-prem VLM narrates each incident against your own SOPs — what happened, which policy applies, and why it was escalated.
Find any moment across sites and weeks of footage by describing it — no timestamps, no scrubbing, no query language.
Shift summaries, weekly safety reports, audit responses — generated from live operational data, grounded in evidence.
Describe a rule in plain English and the Copilot compiles it into deterministic policy logic — zero training data, zero-shot new use cases.
The Copilot drafts escalations and follow-ups; humans approve anything high-impact. Deterministic rules remain the source of truth.
VLM and LLM inference run on-prem on edge GPUs — your video, prompts, and policies never leave the envelope.
A deterministic edge core handles millisecond detection with every decision reproducible, while an on-prem VLM enables natural-language rule authoring, zero-shot new use cases, and incident narration — no per-site model tuning, no training data collection.
Write a rule in plain English
→ Deterministic rule compiled, severity assigned, evidence capture armed. No models trained. No data scientists required.
Weeks → Days
Time to value per site
Zero
Custom training data needed
Partner-ready
Deployable without our engineers on site
On the cameras you already own. Start with a 10–50 camera pilot, see measurable ROI in weeks, and grow it into your operations system of record.