Ailytics
Category: Computer Vision
Singapore vision AI startup that turns existing industrial CCTV into a real-time safety, security and operations layer for heavy industries. Ailytics was founded in 2021. The company is led by Wei Zhuang (Lenard) Tan. Based in Singapore, Singapore. Team size: 11-50. Total funding raised: $10.1M. Latest round: Series A. Key investors include Tin Men Capital, SEEDS Capital (SG Growth Capital), Safie, undisclosed major Japanese construction company, family offices.
- Founded
- 2021
- Headquarters
- Singapore, Singapore
- Team size
- 11-50
- Total funding
- $10.1M
Value proposition
Adds AI video analytics to cameras a site already owns, including decade-old 2D CCTV. It detects safety hazards, compliance breaches and productivity issues in real time without new hardware. Most sites go live in under 2 weeks. Customers report up to a 73% reduction in total recordable incident rate (TRIR) and 84% fewer safety non-compliances.
Products and solutions
Ailyssa: AI video analytics platform that derives 3D spatial understanding from a single 2D CCTV feed. AilyssaX: VLM-based contextual reasoning engine (launched June 2026) that verifies multi-step procedures. Ailytics (SF): plug-in integrated into Safie cloud cameras in Japan.
Unique value
Computer vision that works on legacy single-lens CCTV, inferring 3D metrics such as the danger zone under suspended loads and machinery proximity. It is trained on 5+ years of noisy real-world footage from 400+ sites to stay robust to rain, dust and poor lighting. Event-driven edge-to-cloud processing keeps inference cost low.
Target customer
Heavy-industry operators and contractors: construction general contractors, manufacturers, shipyards, logistics operators, airports, ports, oil & gas and mining. Includes mid-sized US industrial firms.
Industries served
Construction, Manufacturing, Logistics, Maritime/Shipyards, Airports/Infrastructure, Steel, Oil & Gas, Mining, Public housing
Technology advantage
Proprietary domain-specific data from 400+ deployments in 15 countries, including non-public site footage. 3D inference from a single 2D feed. Event-driven edge/cloud pipeline that sends only incident clips. Client churn below 1%. Distribution through Safie, which supplies 29 of Japan's 30 largest construction companies.
How they differentiate
Runs on existing legacy CCTV without specialized AI cameras or LiDAR. Infers 3D spatial risk from 2D feeds. Domain-tuned for harsh outdoor heavy-industry conditions. Covers safety, productivity and security on one platform. Aims to price below incumbents for mid-sized industrial firms.
Main competitors
Intenseye, viAct, Protex AI (also Invigilo, Voxel)
Key partnerships
Safie (MOU April 2026, witnessed by Enterprise Singapore and the Tokyo Metropolitan Government, also an investor), National University of Singapore and Housing & Development Board (origin R&D project, 2019), NVIDIA Cosmos deployment (per company news)
Notable customers
Changi Airport Terminal 5 construction (1,000+ cameras), Leonardo da Vinci International Airport (Rome), NatSteel, PaxOcean shipyard, DHL, HDB, Woh Hup, Obayashi, Soilbuild, JR Kyushu (pilot)
Major milestones
2019: NUS–HDB joint R&D project. 2021: company founded. April 2024: $2.7M pre-Series A led by Tin Men Capital. April 2026: MOU with Safie. June 2026: AilyssaX contextual reasoning engine launched. October 2026: oversubscribed $7.4M Series A.
Growth metrics
400+ deployments in 15 countries, up from 70 projects in 4 countries at the 2024 pre-Series A. 5.7M+ hazards detected. 500M+ square metres monitored. Client churn below 1%. Team spans 11 nationalities.
Market positioning
Leading Singapore-born industrial vision AI and EHS video analytics platform. Expanding from APAC construction into global heavy industry.
Geographic focus
Singapore/APAC core; expanding in Japan, US, Australia and the Gulf (UAE, Saudi Arabia). Deployments in 15 countries, including the Netherlands, Italy, Hong Kong and Indonesia.
About Wei Zhuang (Lenard) Tan
PhD, National University of Singapore (2019); NUS MBA (2021). Led the NUS–HDB joint R&D project in 2019 that became Ailytics.
Latest news about Ailytics
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Official website: https://www.ailytics.ai