ThreatLens AI™ Inc. is a proactive threat detection company that utilizes computer vision and artificial intelligence to analyze live video streams, determine the likelihood of criminal activity, and deliver actionable intelligence to end users in near real-time. Designed for overwhelmed security teams, ThreatLens serves environments where traditional surveillance falls short — retail stores, correctional facilities, schools, airports, and other high-risk locations. Rather than passively recording footage, ThreatLens actively identifies threats as they emerge, giving security personnel the time and insight to act before incidents escalate.
Traditional surveillance systems are fundamentally reactive. They record footage that gets reviewed after an incident has already occurred — too late to prevent harm, too slow to protect people or assets in the moment. Security teams responsible for monitoring dozens or hundreds of camera feeds are overwhelmed, leading to fatigue, missed threats, and delayed response times.
ThreatLens had already validated their core technology through an initial proof of concept. The AI worked. The vision was clear. But to take the product to market — to demonstrate it to enterprise retail customers and attract investor funding — they needed a polished, production-ready platform. And they needed it fast.
The ask was straightforward but ambitious: take a validated concept and deliver an enterprise-grade, investor-ready product in under 9 weeks. ThreatLens needed a technology partner with deep AI/ML expertise and the ability to move at startup speed without compromising quality.
nClouds delivered a complete, production-ready ThreatLens platform in 8–9 weeks, working across two parallel tracks to maximize speed without sacrificing quality.
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API Gateway was used to enable secure and scalable HTTP interactions between the platform and external services. API calls were routed through API Gateway, reducing bottlenecks and improving the overall performance of the platform.
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Using API Gateway, the decision tree platform could easily interface with external systems and databases, including Amazon DynamoDB, which was used for data storage and management.
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AWS Lambda was leveraged for real-time application logic execution, triggered by API Gateway requests, to ensure that workflows were processed in a highly scalable manner.
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A purpose-built desktop application designed for the people who use it every day — security operators. The command center provides:
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The intelligence behind the platform — a computer vision inference pipeline that transforms passive video feeds into proactive security intelligence:
ThreatLens went from validated concept to a fully functional, investor-ready platform in under 9 weeks. In an industry where timing can mean the difference between securing a funding round or losing momentum, this rapid delivery gave ThreatLens a decisive competitive advantage. The platform was ready for live demonstrations, pilot conversations, and investor presentations on the timeline Nick and his team needed.
The delivered platform isn’t a prototype — it’s a production-grade product that supports:
While the MVP was validated against the retail vertical, the platform was intentionally architected for a “build once, deploy everywhere” strategy. The same core technology — computer vision inference, real-time scoring, and the command center interface — can be deployed across:
This multi-vertical capability transforms ThreatLens from a single-market product into a platform company — dramatically expanding their total addressable market and strengthening their position with investors.
nClouds is a US-based Premier Tier consulting partner specializing in AI/ML, data analytics, and cloud-native solutions. With over two decades of experience, nClouds deploys immediately productive, experienced consultants who combine deep technical expertise with a proven portfolio of intellectual property to accelerate delivery and maximize business outcomes.
