Monitor  /  Search  /  Prove

Every camera, a trained pair of eyes.

SIMIS turns passive CCTV into a video intelligence platform. Proprietary detection, searchable archive, verifiable records—running locally on the cameras you already own.

Multi-model AI stack. No facial recognition. No cloud dependency.

AI Singapore 1st Place, Pan-SEA Developer Challenge 2025 SUTD ARISE Validate, 2026
The SIMIS Box, the on-site inference appliance

The SIMIS Box · on-site inference, no cloud

The gap

Your cameras record everything. You can use almost none of it.

Cameras are everywhere. Awareness, search and chain of custody are not. Three gaps in the status quo; each one is what SIMIS is built to close.

01

Recorded, not seen.

CCTV runs 24/7 across every site. Humans review almost none of it. The recording light does not translate to a pair of eyes—and incidents happen in the gap between what was filmed and what was noticed.

Closed by Monitor
02

Archived, not searchable.

When something does happen, finding the moment means dragging a timeline by hand, frame by frame. The standard tool is a scrub bar: manual, linear, and far slower than the question deserves.

Closed by Search
03

Forensic by accident.

When you do find the right clip, the chain of custody is whatever you can later reconstruct from logs, memory and a grainy file off a hard drive. The moments you most need to defend are the ones the system was least designed for.

Closed by Prove

The platform

Three layers, from live alert to verifiable proof.

SIMIS is not a smarter alert. It is the link between real-time monitoring, searchable history and the record you can show—built so each layer feeds the next. Starting with CCTV; the same engine extends to any video stream you operate.

Today

Monitor

01

Proprietary detection, in real time.

A multi-model AI stack reads movement, posture and proximity from any RTSP or ONVIF camera you already own—pose-based, not face-based, so privacy is preserved by construction. Alerts surface the moment something looks wrong.

  • Multi-model AI stack
  • Local inference
  • No faces captured
In development

Search

02

Find footage by what happened, not when.

Flagged events are indexed with vector embeddings so you can retrieve them in plain language. "Two children near the back gate, after 3pm" returns clips, not timestamps to scrub through.

  • Natural-language queries
  • Visual embeddings
  • Seconds, not hours
In pilot

Prove

03

Tamper-proof records, when someone asks.

Every detection writes to an append-only, cryptographically hashed record. In parent disputes, ECDA audits or police cases, you export proof—not a scrubbed timeline from a DVR.

  • Immutable footage
  • Printable reports
  • Chain of custody

Product

What operators receive.

Reports, alerts and immutable records — the artefacts that close parent disputes, pass ECDA inspections and support PCF vetting.

Markets

Use cases

Childcare, schools, corporate, fleet and ASEAN — the same Monitor / Search / Prove stack across regulated environments.

Childcare centres

Real-time safety, parent trust, ECDA compliance

Pose-based detection alerts staff in seconds. Immutable reports and daily summaries support ECDA inspections and case security for PCF-aligned operators.

Primary schools

Playground safety, bullying prevention, pickup security

Zone-based monitoring across playgrounds and gates. Searchable archive for investigations and immutable exports for discipline committees.

Corporate & facilities

Access control, compliance monitoring, incident documentation

Local inference on existing IP cameras. Automated alerts and monthly compliance reports for management and insurers.

Automotive & fleet

Fleet safety, driver behaviour, accident documentation

Edge AI on vehicle and depot cameras. Immutable records for accident reconstruction without cloud streaming costs.

ASEAN expansion

Multi-language, offline-capable, perpetual licensing

Edge-first architecture with offline operation. Local language alerts and reports suited to regional operator budgets.

Why SIMIS

Decisions you cannot bolt on later.

Privacy by architecture

We capture pose, not faces. The data we store cannot be re-identified to individuals—PDPA and GDPR friendly by construction, not by promise.

Search, don’t scrub

Reviewing CCTV today means dragging a timeline. SIMIS turns the archive into a question you can ask in English and get answered in seconds.

Local processing

Inference runs on a small box on site. No cloud round-trips, no streaming footage off-premises, no recurring egress bills.

Sold as a system

Hardware, a software subscription, and on-site setup and training—from one team. Plugs into the cameras you already own; we own the rest.

Immutable by design

Incident footage is append-only and cryptographically linked—not another DVR clip that can be overwritten before a parent meeting. The record you export is the record that was captured.

Built for proof

Printable reports, chain of custody and verifiable hashes—designed for the parent meeting, the ECDA audit and the police request, not just the dashboard.

Endorsement

Backed by AI Singapore.

AI Singapore is the country’s national AI programme, hosted by the National University of Singapore and funded by the National Research Foundation. They named SIMIS the 1st place winner of the Pan-SEA Developer Challenge, Healthcare Track, 2025.

Recognised by AI Singapore NUS National Research Foundation SUTD ARISE PCF (in evaluation)

Since then

  1. Now

    PCF evaluation in progress

    Under review by PAP Community Foundation—Singapore’s largest childcare operator. Case security and immutable incident documentation are central to the vetting.

  2. 2026

    Accepted, SUTD ARISE

    Selected for the SUTD ARISE Validate programme—early-stage deep-tech support and validation runway.

  3. April 2026

    Incorporated in Singapore

    Founded with healthcare-grade engineering experience across the team. Pre-seed.

  4. Now

    Childcare pilots

    Active discussions with community-based childcare groups in Singapore. Pilot scope, hardware spec and immutability workflows being defined.

Team

Healthcare people who build AI.

Three founders. One has shipped regulated healthcare. One has shipped production AI inside government and pharma. One has shipped hardware out of Shenzhen. We have seen what it takes to put serious software in front of serious users.

J

Jevin Tan

Business & Compliance

Fourteen years across healthcare delivery and regulation in Southeast Asia. Owns commercial, partnerships and the regulatory road map.

R

Raymond Harrison

AI Engineering

Built production AI for GSK, HTX and URA. Leads the pose detection, embeddings and inference stack that sits behind every SIMIS deployment.

J

Jenxi Seow

Operations & Hardware

Took products from prototype to volume manufacturing in Shenzhen. Owns the SIMIS box, the deployment workflow and on-site reliability.

Advisory: AI Singapore mentors and the wider Pan-SEA Developer Challenge network.