Ailytics
AI video analytics for construction and heavy industries, converting existing CCTV into real-time safety and operational monitoring.
Website: https://www.ailytics.ai/
Cover Block
Public sources
| Field | Detail |
|---|---|
| Company | Ailytics |
| Tagline | AI video analytics for construction and heavy industries, converting existing CCTV into real-time safety and operational monitoring [Ailytics, retrieved 2026] |
| Headquarters | Singapore, Singapore [Crunchbase, retrieved 2026] |
| Founded | 2021 [Crunchbase, retrieved 2026] |
| Stage | Series A [Crunchbase, retrieved 2026] |
| Business model | B2B |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Southeast Asia |
| Growth profile | Venture Scale |
| Founding team | Co-Founders (2) |
| Funding label | Series A |
| Total disclosed funding | Approximately $10.1 million, based on a $2.7 million Pre-Series A in April 2024 and a $7.4 million Series A in October 2026 [PRNewswire, April 2024] [AAP/PR Newswire, October 2026] |
Links
Public sources
- Website: https://www.ailytics.ai/
- LinkedIn: https://sg.linkedin.com/company/ailytics
Executive Summary
PUBLIC Ailytics builds vision software that turns existing industrial CCTV into real-time safety and operations monitoring, and it merits investor attention now because the company has paired that wedge with a fresh $7.4 million Series A and reported expansion to more than 400 deployments across 15 countries by October 2026 [Ailytics, retrieved 2026] [AAP/PR Newswire, October 2026]. The company was founded in Singapore in 2021, with public materials and third-party profiles consistently identifying Lenard Tan as co-founder and CEO and Prateek Manocha as co-founder and CTO, though source naming around Tan appears in both full-name and abbreviated variants [Financial Post, October 2026] [The Org, retrieved 2026] [LinkedIn, retrieved 2026].
Its core product, Ailyssa, is positioned as a computer vision layer over customers’ installed camera infrastructure rather than a rip-and-replace hardware sale, which matters in construction and heavy industry where deployment friction and site disruption can slow adoption [Ailytics, retrieved 2026] [getlatka.com, retrieved 2026]. Public reporting suggests the product is resonating beyond a narrow pilot market, with deployments cited at Changi Airport Terminal 5 and named enterprise environments including DHL, PaxOcean, and NatSteel, although most operating claims still trace back to company announcements or financing coverage rather than independent case studies [DealStreetAsia, October 2026] [Ailytics, June 2026].
On team formation, the externally visible picture is strongest at the founder-title level rather than at the biography level: Manocha is consistently described as the technical co-founder and CTO, and Tan as CEO, but the current source set does not establish a detailed pre-company track record for either founder [AAP/PR Newswire, October 2026] [The Org, retrieved 2026] [Financial Post, October 2026]. Funding appears straightforward for now, with a $2.7 million pre-Series A in April 2024 and a $7.4 million Series A in October 2026, both led by Tin Men Capital, taking disclosed funding to about $10.1 million; the business model is B2B software sold into heavy-industry operators and contractors [PRNewswire, April 2024] [AAP/PR Newswire, October 2026] [Crunchbase, retrieved 2026].
Over the next 12 to 18 months, the main points to watch are whether Ailytics can convert deployment breadth into independently corroborated commercial depth, whether expansion into APAC, the US, and the Gulf produces repeatable enterprise traction, and whether proof points move beyond company-reported safety and efficiency gains into clearer retention, revenue, and customer concentration signals [AAP/PR Newswire, October 2026] [The Business Times, April 2026] [getlatka.com, retrieved 2026].
Lightly corroborated -- Core company, funding, and founder-title facts are corroborated by Crunchbase, LinkedIn, company materials, and financing coverage, but several traction and performance claims remain company-sourced or lightly independently verified.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Series A |
| Business Model | B2B |
| Industry / Vertical | Deeptech |
| Technology Type | AI / Machine Learning |
| Geography | Southeast Asia |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Series A, total disclosed about $10.1 million |
How the Company Got Here
PUBLIC
Ailytics enters the file as a Singapore industrial vision-AI company built around a practical premise: use the cameras heavy-industry operators already have, then layer software on top to monitor safety, security, and productivity in real time [Ailytics, retrieved 2026]. Public company materials and Crunchbase place the business in Singapore and date its founding to 2021 [Ailytics, retrieved 2026] [Crunchbase, retrieved 2026].
The public record on the founding team is narrower than the marketing footprint, but the core picture is consistent. Ailytics presents Lenard Tan and Prateek Manocha as co-founders, with Ailyssa as the company’s flagship software product [Ailytics, retrieved 2026]. Crunchbase separately lists the company as founded in 2021 and headquartered in Singapore, which corroborates the basic corporate profile without extending much further into entity structure or early operating history [Crunchbase, retrieved 2026].
The milestones that matter are concentrated in the last two years. In April 2024, Ailytics announced a US$2.7 million pre-Series A round led by Tin Men Capital, framing the capital as support for scenario-based AI monitoring in heavy industries [Crunchbase, retrieved 2026] [Ailytics, retrieved 2026]. By June 2026, the company was publicly announcing a deployment built around NVIDIA Cosmos 3 for heavy-industry environments, a notable marker that its positioning had widened beyond construction into larger industrial settings [Ailytics, June 2026]. In October 2026, Ailytics disclosed a US$7.4 million Series A, also led by Tin Men Capital, and stated that it had grown from 70 projects in four countries at the time of its 2024 financing to more than 400 deployments across 15 countries [Crunchbase, retrieved 2026] [Ailytics, retrieved 2026].
Lightly corroborated -- Core company profile is corroborated by Crunchbase and the company website, but several milestone details in this section rely on company disclosures.
Product and Technology
Sources and analysis
Ailytics is selling a fairly specific promise: use the cameras industrial operators already have, then turn that video exhaust into real-time safety and operations signals without a rip-and-replace hardware project [Ailytics, retrieved 2026]. Its product, Ailyssa, is described by the company as AI video analytics for construction and heavy industries, with the website positioning it around safety, security, and productivity alerts from existing CCTV feeds [Ailytics, retrieved 2026]. Press coverage is directionally consistent on the core use case, describing software that converts industrial CCTV into monitoring for workplace safety and operational performance, and citing deployments in construction and broader heavy-industry settings [AAP/PR Newswire, October 2026] [DealStreetAsia, October 2026].
The feature set that is publicly described is practical rather than abstract. Ailytics says Ailyssa can alert EHS and site teams to PPE breaches, exclusion-zone entries, near misses, and struck-by risk, while also providing alerts, trend views, and reports through the existing camera layer [Ailytics, retrieved 2026] [getlatka.com, retrieved 2026]. The company also says the platform offers more than 50 configurable safety, security, and productivity use cases, and can go live in under two weeks on installed cameras, though both points remain company-supplied and should be read accordingly [Ailytics, retrieved 2026].
There are also early signs of technical ambition beyond standard rule-based video monitoring, but the evidence is still uneven. In June 2026, the company announced a deployment using NVIDIA Cosmos 3 across heavy-industry environments, and separate coverage in October 2026 described Ailyssa as deriving three-dimensional spatial understanding from a single two-dimensional feed [Ailytics, June 2026] [Financial Post, October 2026]. Those claims matter if they hold up in production, because the differentiation would rest less on generic model access and more on scenario-specific perception in cluttered industrial sites, but the public record here is still led by company announcements and limited third-party detail.
Company-stated, unverified -- This section relies materially on company website and company announcement claims, with partial corroboration from AAP/PR Newswire, DealStreetAsia, and getlatka.com.
Where the Demand Sits
PUBLIC
The market matters now because heavy-industry operators already have camera infrastructure in place, and vendors that can turn those feeds into measurable safety and productivity signals may benefit from a lower-friction adoption path than hardware-led industrial monitoring systems [Ailytics, retrieved 2026] [The Business Times, April 2026].
Public evidence on market size is thin in the supplied source set, so any sizing discussion has to stay narrow and explicit. There is no cited third-party TAM, SAM, or SOM for industrial video analytics in the materials here. What is observable is the addressable buyer set implied by Ailytics' own category positioning: construction and other heavy-industry environments where existing CCTV can be repurposed for safety, security, and operational monitoring [Ailytics, retrieved 2026]. That buyer frame is also consistent with named deployments and customer references spanning airports, logistics, shipyards, steel, and construction, which suggests the company is selling into a cross-vertical industrial operations budget rather than a single-purpose construction software budget [DealStreetAsia, October 2026] [Ailytics, June 2026].
The current demand signal appears to rest on two practical pressures. First, workplace safety remains a direct operating issue in industrial settings, and Ailytics is being described in public coverage through outcome language rather than pure model performance, including reported improvements in hazard detection, safety-protocol compliance, and operational efficiency after deployment [The Business Times, April 2026]. Second, the product is positioned around existing camera estates, which matters because it can shorten procurement debates around new hardware installation if the software can perform on installed CCTV feeds [Ailytics, retrieved 2026] [getlatka.com, retrieved 2026]. The company also claims it had expanded from 70 projects in four countries at its April 2024 financing to more than 400 deployments across 15 countries by October 2026, a pace that at minimum points to broad experimentation across geographies, even if deployment count should not be read as equivalent to revenue concentration or standardized contract size [AAP/PR Newswire, October 2026] [PRNewswire, April 2024].
| Public market indicator | Value | Scope and source |
|---|---|---|
| Projects at April 2024 financing | 70 | Four countries, company financing announcement [PRNewswire, April 2024] |
| Deployments by October 2026 | 400+ | Fifteen countries, company financing announcement carried by named publisher [AAP/PR Newswire, October 2026] |
| Cameras at Changi Terminal 5 deployment | 1,000+ | Single deployment scale, reported by DealStreetAsia [DealStreetAsia, October 2026] |
The table does not size the market, but it does show the shape of demand that is publicly visible: many deployments, broad geography, and at least one very large camera estate. For investors, that points to a category where land-and-expand within existing industrial sites could matter as much as pure logo growth, assuming those deployments convert into durable software budgets.
Adjacent and substitute markets are easier to map than precise market size. Ailytics sits between several existing spend pools: physical security and video management, environmental health and safety software, industrial operations monitoring, and construction progress tracking [Ailytics, retrieved 2026] [getlatka.com, retrieved 2026]. That can widen the buyer universe, but it also means the company is unlikely to win only on "AI video analytics" as a standalone line item. In practice, the substitute is often a mix of manual safety supervision, conventional CCTV review, and point solutions for site reporting or compliance workflows, especially in sectors where buyers are conservative and purchasing authority is fragmented across operations, safety, and IT teams. The named vertical references, including airports, logistics, shipyards, and construction, support the view that the company is pursuing adjacent operational use cases rather than a single monolithic software category [Ailytics, June 2026] [DealStreetAsia, October 2026].
Regulation and macro conditions likely help the category, though the source set supports this more by implication than by direct statutory citation. Safety compliance, contractor oversight, and documentation needs are recurring themes in the product claims and in third-party coverage of customer outcomes [The Business Times, April 2026] [Construction Tech Review]. Infrastructure build-outs and industrial modernization also appear relevant, given the company's visible traction in airport construction, shipyards, logistics, and large project environments [DealStreetAsia, October 2026] [Ailytics, June 2026]. The main market constraint is that industrial buyers usually require proof that alerts are operationally useful, not merely technically impressive. That makes camera compatibility, deployment speed, and measurable workflow impact central adoption variables in this segment [Ailytics, retrieved 2026] [The Business Times, April 2026].
Lightly corroborated -- Section relies on named publisher coverage and company materials, but no independent third-party market sizing report is present in the supplied sources.
Competitive Landscape
MIXED Ailytics appears to sit in the applied vision layer for heavy industry, where the competitive question is less about who has the best generic computer vision model and more about who can turn existing camera estates into workflows that safety and operations teams will actually keep using [Ailytics, retrieved 2026] [AAP/PR Newswire, October 2026].
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Ailytics | Vision AI software for construction and heavy industries, using existing CCTV for real-time safety and operational monitoring | Series A, about $10.1 million disclosed across pre-Series A and Series A | Reported expansion from 70 projects in four countries in April 2024 to more than 400 deployments across 15 countries by October 2026, with named industrial and infrastructure deployments including Changi Terminal 5, DHL, PaxOcean, and NatSteel | [AAP/PR Newswire, October 2026] [PRNewswire, April 2024] [DealStreetAsia, October 2026] |
| Securade.ai | Industrial safety AI competitor named in the research set | Funding and stage not established in the supplied public facts | Public research supplied for this report identifies it as a named competitor, but does not establish product scope or traction on the same evidence standard | [STRUCTURED FACTS] |
The segment map is narrow in the source base, but a few lines are still clear. Ailytics is competing first for construction and other heavy-industry sites that already have camera infrastructure and want safety monitoring without replacing that hardware stack [Ailytics, retrieved 2026]. Within that lane, Securade.ai
Ailytics' edge today looks distribution-led rather than purely model-led. The public record ties the company to repeatable industrial reference points, including airport construction, logistics, shipyards, and steel, and the camera count at Changi Terminal 5 suggests it can operate in environments that are operationally dense rather than pilot-scale [DealStreetAsia, October 2026]. The growth from 70 projects in four countries to more than 400 deployments across 15 countries also matters competitively because it implies a widening installed base from which the company can refine deployment playbooks and scenario libraries, though that advantage is still somewhat perishable because the evidence does not establish proprietary data rights, switching costs, or long-term contract structure [AAP/PR Newswire, October 2026] [PRNewswire, April 2024].
The exposure is that the company does not appear to own the underlying camera layer, the cloud platform, or a regulated procurement channel from the evidence supplied here. That leaves room for a rival such as Securade.ai, Ailytics also cites customer-reported outcomes and a broad set of configurable use cases, but most of those claims remain company-led or lightly corroborated, which means the competitive moat is easier to describe than to verify from public evidence alone [Ailytics, retrieved 2026] [The Business Times, April 2026].
The most plausible 18-month scenario is a split market. Ailytics is the likely winner if existing-camera retrofit remains the dominant buying motion in APAC and Gulf industrial sites, because its public references and deployment count suggest it already knows how to sell that operationally pragmatic pitch across geographies [AAP/PR Newswire, October 2026] [DealStreetAsia, October 2026]. Securade.ai is the likely loser if it cannot match that site-level credibility in heavy industry, but the reverse is also true: Ailytics is the one at risk if procurement shifts toward bundled platforms tied to camera vendors, infrastructure primes, or broader industrial software suites, where a specialist point solution may have less control over channel and budget.
Single unverified source -- The section uses multiple public sources for Ailytics, but direct competitor evidence in the supplied fact set is limited to one named competitor without comparable public detail.
Opportunity
PUBLIC The prize here is not another point solution for jobsite safety, but a credible chance to become the default software layer that turns industrial camera fleets into live operational infrastructure across construction, logistics, transport, and heavy industry.
The headline opportunity rests on a simple observation: many industrial sites already have cameras, but relatively few appear to be using those feeds as a system of record for safety and operational control. Ailytics positions Ailyssa as the software layer on top of existing CCTV, rather than a rip-and-replace hardware sale, and that matters because lower deployment friction usually widens the addressable budget owner set from security to EHS, operations, and program management [Ailytics, retrieved 2026]. The public evidence also suggests this is moving beyond pilot stage. By October 2026, the company reported more than 400 deployments across 15 countries, up from 70 projects in four countries at its April 2024 financing, while named deployments and customers span Changi Airport Terminal 5, DHL, PaxOcean, NatSteel, and Leonardo da Vinci International Airport in Rome [AAP/PR Newswire, October 2026] [DealStreetAsia, October 2026] [Ailytics, June 2026]. If that footprint is directionally accurate, the reachable upside is a category leader in industrial video intelligence across global brownfield infrastructure, not merely a regional construction software vendor.
The scale paths are visible, even if each still depends on execution.
| Scenario | What happens | Catalyst | Why it’s plausible |
|---|---|---|---|
| Multi-site industrial standard | Ailytics becomes the preferred video intelligence layer for large contractors, airport operators, ports, and industrial groups that want one software standard across many sites and geographies | The move from 70 projects in four countries to 400-plus deployments in 15 countries, plus expansion funding aimed at APAC, the US, and the Gulf [AAP/PR Newswire, October 2026] | The company already cites multi-country deployment density and named enterprise environments such as Changi Terminal 5, DHL, and PaxOcean, which suggests the product can travel beyond a single local use case [DealStreetAsia, October 2026] [Ailytics, June 2026] |
| Embedded camera-channel distribution | Ailytics scales through camera and video ecosystem partners rather than direct sales alone, making its software an attached intelligence layer sold with existing surveillance workflows | Safie joined the October 2026 Series A, and Ailytics separately announced deployment work using NVIDIA Cosmos 3 in heavy industry [AAP/PR Newswire, October 2026] [Ailytics, June 2026] | The public record does not prove the exact commercial structure, but investor and technology alignment can shorten distribution and integration cycles if converted into formal channel motion [AAP/PR Newswire, October 2026] |
| Compliance-to-operations expansion | The product starts as a safety and compliance tool, then expands into productivity, progress tracking, subcontractor oversight, and site performance analytics | The company and third-party profiles describe use cases beyond PPE and exclusion zones, including construction progress, subcontractor evaluation, and operational monitoring [Ailytics, retrieved 2026] [getlatka.com, retrieved 2026] | Software that enters through safety can gain budget durability if it also touches operations. Ailytics already presents the platform as covering safety, security, and productivity use cases [Ailytics, retrieved 2026] |
The compounding mechanism is plausible because each deployment should improve both commercial credibility and product coverage. Ailytics says it offers more than 50 configurable safety, security, and productivity use cases, and says it can go live on existing cameras in under two weeks, which, if borne out in the field, would support faster land-and-expand motions across camera estates and adjacent workflows [Ailytics, retrieved 2026]. There is also early evidence that customers are using the system for more than alerts alone. Public descriptions reference real-time alerts, trends, and reports, while customer-reported outcomes include higher hazard detection, lower non-compliance, and better operational efficiency, albeit from company-linked or lightly corroborated sources rather than audited studies [The Business Times, April 2026] [getlatka.com, retrieved 2026] [Construction Tech Review]. In practical terms, one successful deployment can create three follow-on assets: a reference account in a conservative industry, more edge-case video data to train or tune scenarios, and a wider internal footprint across sites, contractors, and geographies.
The size of the win is hard to anchor precisely because no public market comp or market-sizing dataset is included in the sourced record here. Even so, the reported base of more than 400 deployments and the reported $2.6 million ARR in 2024 imply that Ailytics is already monetizing beyond pure experimentation, though the ARR figure comes from a single secondary source and should be treated cautiously [getlatka.com, retrieved 2026] [AAP/PR Newswire, October 2026]. If the "multi-site industrial standard" scenario plays out, the upside case is a software asset with strategic value to industrial technology, security infrastructure, or enterprise workflow buyers that want a camera-native intelligence layer across legacy environments (scenario, not a forecast). The public evidence supports an ambitious interpretation of the prize, but not a precise valuation range, so the cleanest upside framing is category position: if Ailytics can convert early deployment breadth into repeatable enterprise standardization, it could become one of the few Southeast Asian deeptech companies with globally relevant infrastructure software in heavy industry [AAP/PR Newswire, October 2026] [DealStreetAsia, October 2026].
Lightly corroborated -- This section relies on one independent financing report, one independent news report, and company materials; several operating and product claims remain company-reported or lightly corroborated.
Sources
Public sources
[Ailytics, retrieved 2026] AI Video Analytics for Construction & Heavy Industries | Ailytics | https://www.ailytics.ai/
[Crunchbase, retrieved 2026] Ailytics | Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/ailytics
[PRNewswire, April 2024] Ailytics raises US$2.7m to power next generation scenario-based AI monitoring for heavy industries | https://www.prnewswire.com/ae/news-releases/ailytics-raises-us2-7m-to-power-next-generation-scenario-based-ai-monitoring-for-heavy-industries-302105929.html
[AAP/PR Newswire, October 2026] Tin Men Capital leads US$7.4M Series A for Vision AI startup Ailytics to expand across APAC, US and Gulf | https://aapnews.aap.com.au/news/cision20261025AE80348
[Financial Post, October 2026] Tin Men Capital leads US$7.4M Series A for Vision AI startup Ailytics to expand across APAC, US and Gulf | https://financialpost.com/pmn/press-releases-pmn/business-wire-news-releases-pmn/tin-men-capital-leads-us7-4m-series-a-for-vision-ai-startup-ailytics-to-expand-across-apac-us-and-gulf
[The Org, retrieved 2026] Prateek Manocha | Chief Technology Officer at Ailytics | The Org | https://theorg.com/org/ailytics/org-chart/prateek-manocha
[LinkedIn, retrieved 2026] Ailytics | LinkedIn | https://sg.linkedin.com/company/ailytics
[getlatka.com, retrieved 2026] Ailytics Pte. Ltd. Revenue 2024: $2.6M ARR, $7.7M Valuation | https://getlatka.com/companies/ailytics.ai
[DealStreetAsia, October 2026] SG-based industrial AI startup Ailytics raises $7.4m led by … | https://www.dealstreetasia.com/stories/ailytics-series-a-tin-men-capital-499128
[Ailytics, June 2026] Ailytics Deploys NVIDIA Cosmos 3 Across Heavy Industry | https://www.ailytics.ai/news/industrial-video-intelligence-reimagined-ailytics-deploys-nvidia-cosmos-3-across-heavy-industry
[The Business Times, April 2026] Software startup Ailytics leverages AI to improve industrial safety | The Business Times | https://www.businesstimes.com.sg/events-awards/design-ai-tech-awards/design-ai-and-tech-awards/software-startup-ailytics-leverages-ai-improve-industrial-safety
[Construction Tech Review, retrieved 2026] Ailytics: Improving Construction Productivity and Safety through AI Analytics | https://www.constructiontechreview.com/ailytics
Articles about Ailytics
- For 1,000 Cameras at Changi Airport, Ailytics Is the AI Safety Supervisor — The Singapore startup's Ailyssa software, now deployed from Rome's airport to Indonesian shipyards, uses existing CCTV to detect PPE breaches and near misses.