Obverti · Intelligence Layer for the Physical World
Intelligence for
Every Camera.
Transform existing camera infrastructure into real-time visual intelligence using Edge AI, semantic search, and multilingual reasoning. No rip-and-replace. No new hardware.
20M+
Cameras
30 FPS
Real-time
<100 ms
Latency
Signal PipelineLive
Existing Cameras
RTSP · ONVIF
01
Edge AI
Object Detection · NPU
02
Understanding
LLM · Semantic
03
Action
Alerts · API
04
obverti.corev1 · edge
Why Obverti
Six reasons to build on Obverti.
01
No camera replacement
Deploy on the fleet already in the ground.
02
Runs on existing infrastructure
RTSP, ONVIF, and legacy VMS supported.
03
Edge-first privacy
Video never has to leave the site.
04
Understands natural language
No custom rules. No brittle heuristics.
05
Scales to millions of cameras
Federated inference, region by region.
06
Works offline
Full inference under air-gapped conditions.
Interactive
Ask the world in plain language.
Obverti turns natural-language questions into structured queries across every stream. No dashboards to memorize. No SQL. No timelines to scrub.
obverti · searchon-prem · edge-04
Query→"red shirt entering Gate 2"
Parse→subject=person · attr=shirt.red · zone=Gate 2 · event=enter
Match→cam-04 · cam-07 · cam-12
Timeline→14:02:11 → 14:02:14 → 14:02:19
Report→3 matches · 2 cameras · confidence 0.94
Alert→[ok] dispatch → ops.channel#gate-2
▍ask obverti anything…
The Intelligence Layer
The Future of Machine Vision Starts Here.
Talk to the team building the intelligence layer for the physical world.