Trax Retail vs Netradyne

Trax Retail has a disclosed valuation of $2B, while Netradyne's valuation is not publicly available, making a direct size comparison difficult. Trax Retail employs 500-1000 people.

Trax Retail has raised more in total funding at $900M, compared to Netradyne's $150M — a gap of $750M. Combined, the two companies have completed 3 known funding rounds.

Trax Retail leads with an Awaira Score of 84/100, while Netradyne sits at 70/100. That 14-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Trax Retail was founded by Joel Bar-El in 2010. Netradyne was founded by Avneesh Agrawal in 2015. Visit each company's profile on Awaira for a full founder biography.

Trax Retail: Trax Retail provides computer vision and AI analytics for physical retail shelf management, using in-store cameras and mobile image capture to analyse product placement, out-of-stock conditions, planogram compliance, and competitive share of shelf in real time, allowing consumer goods companies and retailers to optimise in-store execution across thousands of stores globally. The Singapore company processes billions of shelf images annually through its AI vision platform.\n\nThe company raised approximately $900 million in funding from investors including Softbank Vision Fund, Boyu Capital, and DC Thomson Ventures, reaching a valuation of approximately $2 billion. Trax serves major consumer packaged goods companies including Coca-Cola, Nestle, and P&G, as well as retailers in Europe, Asia, and the Americas that use the platform to measure and improve in-store execution quality. The platform connects field sales teams with real-time alerts about shelf conditions that require immediate corrective action.\n\nTrax competes in the retail AI and in-store analytics market against Focal Systems, Shelfgram, and Datasembly, as well as the retail analytics divisions of large data companies including Nielsen and IRI. Its global deployment scale across diverse retail formats and geographies, combined with AI models trained on billions of labelled shelf images, creates a data advantage that newer market entrants have not had sufficient deployment history to replicate. Consumer packaged goods companies represent a large budget segment for in-store execution measurement, where visibility into shelf conditions directly affects sales volumes. Netradyne: Netradyne is a driver safety and fleet intelligence company that installs AI-powered camera systems in commercial vehicles to continuously monitor driver behavior, road conditions, and vehicle surroundings using computer vision, generating real-time coaching alerts for drivers and detailed safety analytics for fleet managers. The Driveri camera system processes video at the edge to detect distracted driving, following distance violations, hard braking, and other risk behaviors without transmitting continuous video streams to the cloud.\n\nThe company raised approximately $150M in Series C funding from investors including SoftBank Vision Fund 2, and has deployed its driver safety cameras across hundreds of thousands of commercial vehicles primarily in the United States, with growing deployments in India. Netradyne's AI models have been trained on billions of miles of commercial driving data, creating a significant accuracy advantage over newer computer vision competitors.\n\nFleet safety is a high-commercial-value problem — trucking and delivery companies face significant costs from accidents, insurance premiums, and regulatory penalties. Netradyne's edge AI approach, which preserves driver privacy while still delivering safety analytics, has resonated with large fleet operators wary of continuous cloud video surveillance and the data storage costs it entails.

Trax Retail got there first, launching in 2010 — that's 5 years of extra runway. Netradyne didn't arrive until 2015. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Trax Retail has about 500-1000 employees; Netradyne has about 200-500. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Trax Retail and Netradyne compete in Computer Vision, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.