Every camera, on shift. Loading dock.

saesr watches the cameras you already have, verifies every risk with AI, and fixes it before it becomes an injury or a recall.

Try the demoSee how it works
Cam 01, loading dock2:14 AM
Unsafe lift

Back bent 62 degrees with straight legs while lifting.

  1. Detected
  2. Verified by AI
  3. Worker coached
  4. Confirmed gone

Built for food plants and warehouses. Works on the CCTV you already run.

The floor is the most expensive place nobody is watching.

$13B+

A year in US workers' comp from lifting and overexertion injuries.

Liberty Mutual Workplace Safety Index
$10M

Average direct cost of a single food recall.

Industry study, 2012
0

People watching most of those cameras right now.

Every camera. One screen.

Live feeds, live incidents and a site score you can read in one glance.

Only real risks reach you.

AI checks every alert against the frame before anyone gets paged.

It fixes it. Then proves it.

Coach the worker, stop the equipment, hold the batch. Then it keeps watching until the problem is gone.

A team of agents on every alert.

Triage, coach, fixer, verifier and reporter, working together on one relay.

See the next injury coming.

Which zone, which shift, which risk. Every week.

app.saesr.com
saesr overview: live camera feeds, site score and live incidents Incident list with fixed and verified status Incident detail with evidence clip, agent trace and fix report Agent relay with per-agent latency and live traffic Analytics by zone and violation type

What it catches.

Unsafe lift
Unsafe lifts

Bent backs, straight legs, loads too far out.

Restricted zone
Machinery hazards

People in forklift lanes and restricted zones. Missing hard hats and vests.

No hairnet
Food hygiene

Missing hairnets and gloves on the line, before product ships.

Acts on its own. Asks when it matters.

Every camera remembers.

Each camera is a durable actor. It keeps its own history across shifts and restarts, so a repeat at 3 AM is caught as a repeat.

Every alert is checked twice.

AI confirms the risk before anyone is paged. After the fix, the camera keeps watching until the problem is gone.

Fast where it has to be.

Urgent hazards stop the equipment instantly and coaching runs on its own. Holding a batch waits for a supervisor.

Others detect. saesr closes the loop.

saesrIntenseyeVoxelProtex AISpot AI
Runs on cameras you already have
Unsafe lifts
Food hygiene: hairnets and gloves
Stops equipment
AI checks every alert before paging
Coaches the worker on the spot
Holds affected product batches
Confirms the problem is gone
YesPartialNot listedBased on each company's public product pages, October 2026.

Questions? Just ask.

Do we need new cameras?

No. saesr runs on the cameras you already have. Software only.

What does it catch today?

Unsafe lifts, missing hard hats and hi-vis vests, people in restricted zones, and missing hairnets and gloves.

Does it act without us?

Urgent hazards, like a person in a forklift lane, stop the equipment instantly. Coaching runs on its own. Holding a batch of product waits for a supervisor to approve.

How do we know an alert is real?

Every alert is checked by AI against the frame before anyone is paged, and every incident keeps its clip and a full trace of what was done.

How is this different from Intenseye or Voxel?

They detect and alert. saesr also fixes the problem, holds affected product when hygiene slips, and confirms the problem is gone before it closes the incident.

Does it replace our safety team?

No. It gives them eyes on every camera, every shift, and hands them the incidents that need a person.

How do we start?

Try the demo, then we pick one site and a few cameras and pilot from there.

Put every camera on shift.

Try the demoView on GitHub