Product

Give your CCTV a business problem.

Scene-understanding AI on the cameras you already own - turned into the reports your management asks for and the action items your team owns, inside the systems you already use.

Configures itself

VLMs read the scene, so alerts carry context - no zones to draw, no thresholds to tune.

New analytics, fast

Custom detectors tuned to your operation, demoed on your footage in about a week.

Ask your CCTV anything

Auto-generated, scheduled reports with action items routed to owners - not a dashboard nobody reads.

Lives in your systems

We pull from and push to your enterprise systems: ERP, WMS, ticketing, WhatsApp and more.

Analytics

It already sees it. There's nothing to configure.

Analytics run on vision-language models, so context is built in - count the queue, not the road; know where the guard belongs without drawing a box. And because there are no rules to tune, a new detector ships in about a week.

People & safety

Person / unauthorized presenceAttendanceCrowdLoiteringPerson attributesPerson searchActivity & posePPE / safety-gear complianceIntrusion / line-crossingTailgating at access pointsGuard presence & patrolHeadcount / footfall

Flow & throughput

Wait timeQueue length & occupancyDwell time

Vehicles

Number-plate recognitionVehicle typeVehicle count & parkingGate idle / dwell timeWrong-way / direction

Site, assets & process

Site opened / closedFire / smokeAbandoned objectObject removal / asset movementSpill / leak / housekeepingSOP compliance

Camera & system health

Camera tamperingCamera errorCamera offline / feed degradedObstruction / blur / scene change

Don't see it? We'll build it.

Tell us what your operation watches for. We demo a custom detector on your own footage in about a week - before you commit.

Book a call

AI Reports

Ask your CCTV anything.

Anything we capture becomes the report management actually wants - a conclusion, the clip behind it, and action items assigned to the right owner and tracked with reminders. Auto-generated and scheduled.

Daily digestMon 06:00

Camera & NVR status

NVR status4 / 5 healthy
  • NVR-3Andheridown 2d 6h
  • NVR-1Powaionline
  • NVR-5Vashionline
Camera status142 / 148 online
  • CAM-12Rear gate · Andheridown 3d 4h
  • CAM-31Loading bay · Powaidown 18h
Replace failing disk on NVR-3Rohan · IT
Next reminder · Tue 9:00 AM
Weekly digestMon 07:00

Wait time, crowd & queue

Wait timepeak 11m · Thu
4m 12s
Crowdcap 180 · Andheri
240
Queuemax 19 · counter 2
7 avg
Deploy additional manpower at Andheri, 6–8pmStore mgr
Open counter 3 at Powai during lunch peakSite lead
Nightly digestTue 05:30

Night-time activity

3
Events surfaced
02:14
First motion
24
Cameras swept
20:0001:0006:00
  • 00:30Guard checked in - Patrol A
  • 02:14Motion at rear gate
  • 04:05Vehicle at loading bay
Weekly digestMon 07:00

Alert-response

2m 14s
Median response
82%
True alerts
3
Red flags
True vs false82% / 18%

Assigned per owner

  • Shift A24alerts2m 40s median
  • Shift B18alerts1m 50s median
  • Ops lead9alerts3m 10s median
Ask anything

Every metric your cameras capture

30+ detectors run live across your cameras. Ask in plain language - get a scheduled report back, with an owner on every action item.

Which sites breached wait-time SLA last week?
Show idle trucks at the gate over 20 minutes
Any after-hours entries across all sites this month?
Ask your cameras anything…

30+ detectors live · new report in ~1 week

Enterprise integrations

Surveillance that lives in your systems.

We pull relevant data in and push results out, so alerts fit your workflow - not the other way round. Every system, and exactly what moves each way.

ERP

Pulled in

Vendor master, POs and approved number plates to match arrivals against.

Pushed out

Vendor-vehicle entry / exit / wait time, guard shifts and site open/close times.

Identity/Attendance

Pulled in

Entry / exit punch windows.

Pushed out

-
Ticketing System

Pulled in

AMC vendor details, for the right routing.

Pushed out

Auto-created tickets with video evidence, assigned to the right owner and escalated if ignored.

WhatsAppWhatsApp

Pulled in

Activity updates back, eg. a staffer logs a 'machine / site OK' check.

Pushed out

Alerts to frontline staff, on the channel they actually check.

Excel / CSV / Sheets

Pulled in

Bulk data sync- guide our AI to safely ingest data like camera tags, escalation matrices and SOPs.

Pushed out

-
Warehouse Management System

Pulled in

Package metadata, material handler and shift data

Pushed out

-
Email

Pulled in

-

Pushed out

Alerts the moment they happen, and scheduled reports on a cadence.

API

Pulled in

Pull master data, rosters and context from any system with an endpoint.

Pushed out

Push events, detections and report data out via webhooks.

Case studies

The same cameras, a business brain.

Read all case studies

Get started

Bring us a problem.

Twenty minutes with our team - we map your cameras and the problem, tell you on the call whether we can solve it, and show you on your own footage within a week. Then a scoped pilot, and rollout site by site.

Keep exploring