SIMIS Guardian: Edge AI safety layer for childcare centres — expanding to homes.
Connects to most RTSP-compatible camera systems. Surfaces incidents for review. Keeps video on site.
Connects to most RTSP-compatible camera systems. Surfaces incidents for review. Keeps video on site.
Childcare centres and families already rely on camera systems, but most only record. The hard work starts after something happens.
Principals face regulatory pressure to locate incidents quickly, document facts accurately, and keep children's footage on-premise.
Parents need assurance for children, elderly parents, and domestic helper care without watching live feeds all day.
Source: ECDA centre directory/guidance and PDPA expectations, accessed Aug 2026.
SIMIS connects to camera feeds, processes events locally, and gives caregivers a review queue instead of hours of footage.
Most RTSP-compatible camera feeds and edge box.
Potential safety events flagged for caregiver review — not automated enforcement.
Timestamp, camera, event type, and clip context.
Draft incident notes while footage stays on site.
Model performance varies by camera angle and lighting. Human review required.
ECDA centre base for the initial market model.
Better early sales motion than large public chains.
Smaller private groups suitable for pilots and references.
Working sizing: most centres need 1 SIMIS Guardian; larger multi-floor sites may need 2-3 units. Comparable private preschool density exists in Shenzhen districts such as Nanshan and Futian for later expansion.
Home use is not the first sales wedge. It is the platform expansion: parents, grandparents, infants, and domestic-helper care.
Know when to review without constant livestream watching.
Turn relevant moments into structured notes for family follow-up.
Map camera count, recorder setup, network readiness, and data-handling constraints.
Confirm hardware, software, RTSP, and deployment constraints.
Recommend 1-3 units based on site size and camera layout.
Convert compliant sites into paid pilots with data-handling LOIs.
1st place in the Healthcare Track at the AI Singapore SEA-LION / PAN-SEA AI Developer Challenge 2025.
Venture programme support for validation, go-to-market, commercialisation planning, and Shenzhen hardware mentorship introductions.
Early interviews narrowed the wedge to incident search, review, and documentation.
Founder / CEO
Pharmacist, business consultant, and AI builder. Leads product strategy, customer discovery, healthcare workflow translation, and commercial partnerships.
AI Systems Lead
Computer vision specialist focused on production AI systems, camera-feed interpretation, model performance, and real-world safety detection workflows.
Hardware & Supply Chain Lead
Startup operator embedded in Shenzhen hardware ecosystem, including Huaqiangbei sourcing and Bao'an prototyping partners.
Edge boxes, cameras, NVRs, chips, enclosures, and manufacturing partners.
Childcare, eldercare, smart home, and institutional safety settings.
Unlike camera/NVR incumbents such as Hikvision, Dahua, and SenseTime-style platforms, SIMIS starts with care workflow review.
5 paid childcare pilots + 2 Shenzhen ecosystem design partners.
Install edge boxes, connect live camera feeds, and measure manual baseline improvement.
About RMB 800K for engineering, pilot appliances, site visits, and partner onboarding.
Contact: Jevin Tan - jevin@simis.app - simis.app