Singapore vision AI startup Ailytics has raised $7.4 million in a Series A round led by Tin Men Capital, the company announced on Monday. SEEDS, part of SG Growth Capital, Safie, one of Japan’s largest construction companies, family offices and existing investors also joined the round. Ailytics turns existing industrial CCTV cameras into a real-time safety and operations layer, and says it will use the money to strengthen its teams in the US, Japan, Australia and the Gulf. Since a $2.7 million pre-Series A led by Tin Men Capital in April 2024, the company says it has grown from 70 projects in four countries to more than 400 deployments across 15 countries.
What the round funds
According to the announcement, the new money goes first to people on the ground. Ailytics says the round strengthens its local teams in the US, Japan, Australia and the Gulf, with a focus on harsh outdoor industrial environments. Co-founder and chief executive Lenard Tan framed the ambition plainly, saying the company is building a global industrial AI company from Singapore.
The second use of the money is technical. Co-founder and chief technology officer Prateek Manocha said the round lets Ailytics build its own domain-specific reasoning models and keep the cost of running AI low as demand grows. That matters because industrial deployments run around the clock across hundreds of sites: a model that is cheap to run at one site can still become expensive at four hundred, and Ailytics is selling customers on working with the cameras they already own rather than new hardware.
The investor case, as Tin Men Capital tells it, rests on retention. Jeremy Tan, the firm’s co-founder and managing partner, said Ailytics has reached 15 markets with robust unit economics and client churn below 1 per cent, and that the firm wants to stay behind the team as it scales globally. Those figures come from the company and its lead investor, not from independent verification, and the announcement does not disclose a valuation for the round.
From housing blocks to airports
Ailytics began on Singapore public housing projects, the company says, and now runs large deployments at steelmaker NatSteel, shipyard group PaxOcean, logistics firm DHL, Rome’s Leonardo da Vinci International Airport and the Changi Airport Terminal 5 build. That customer list is the substance behind the deployment count: airports, shipyards and steel plants are exactly the harsh, sprawling sites where watching everything by eye is hardest.
The product behind those deployments is called Ailyssa. According to the company, it derives three-dimensional spatial understanding from a single two-dimensional camera feed and keeps working through rain, dust and poor lighting, including on cameras decades old. Its latest reasoning engine, AilyssaX, processes contextual scenes as they unfold and verifies multi-step procedures, which the company says produces more accurate and meaningful alerts than simpler motion or counting tools.
What Ailytics is not claiming is a new sensor network. The pitch is retrofit: the cameras are already there, mounted on poles and walls across industrial sites, and the AI layer turns their footage into safety and operations insight. For customers, that means no rip-and-replace programme; for Ailytics, it means each new deployment starts from an installed base rather than from zero.
Why It Matters
For industrial operators, the appeal is straightforward. Safety incidents and operational delays on large sites are usually spotted late, after someone walks the ground or reviews footage by hand. A system that watches every feed at once and flags a missed procedure or an unsafe zone in real time promises fewer incidents and faster responses, and it does so without asking the site to buy and install new cameras.
For the wider AI market, Ailytics is part of the physical AI wave reaching beyond robots and self-driving cars into the unglamorous work of watching factories, yards and terminals. Tractian raised $130 million to scale physical AI for factories, and Maxinsights raised $30 million to build the data layer for physical AI — both bets that AI’s next valuable frontier is the physical world rather than the chatbot window. Ailytics, at a smaller $7.4 million, is the same thesis at an earlier stage: prove the economics on existing cameras, then expand geographically.
The expansion geography is the part to watch. The US, Japan, Australia and the Gulf are four very different industrial markets, each with its own safety rules, labour practices and procurement habits. Winning teams in all four would turn a Singapore startup with 400 deployments into a genuinely global industrial supplier; struggling in any of them would show where a camera-first model meets its limits. The Series A buys the chance to find out.
Background
Ailytics was founded in Singapore in 2021 by Lenard Tan and Prateek Manocha, and its first work was on the city-state’s public housing projects. A $2.7 million pre-Series A led by Tin Men Capital in April 2024 funded its move from those early projects into heavy industry, and the company says it has since grown to more than 400 deployments across 15 countries. The $7.4 million Series A, again led by Tin Men Capital, is its next step: building local teams in the US, Japan, Australia and the Gulf while developing its own domain-specific reasoning models.
Source: PR Newswire
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