Nearthlab vs Trax Retail

Trax Retail has a disclosed valuation of $2B, while Nearthlab'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 Nearthlab's $15M — a gap of $885M. Combined, the two companies have completed 5 known funding rounds.

Trax Retail leads with an Awaira Score of 84/100, while Nearthlab sits at 40/100. That 44-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

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

Nearthlab: Nearthlab develops AI-powered drone inspection software for wind turbines and critical infrastructure, using computer vision models to automatically detect and classify structural defects from aerial images captured by inspection drones, replacing manual rope access inspection with automated drone-and-AI workflows that are safer, faster, and more consistent. The Seoul company platform processes blade inspection imagery to identify cracks, erosion, and lightning strike damage across the turbine blade surface.\n\nThe company raised approximately $15 million in venture funding and has deployed its inspection platform across wind farms in South Korea, Europe, and North America. Nearthlab has built partnerships with drone hardware manufacturers and wind energy operators, positioning the platform within existing operational maintenance workflows. The company reports that its AI defect detection achieves accuracy comparable to expert human inspectors on standardised blade damage classification tasks.\n\nNearthlab competes in the AI infrastructure inspection market against Cyberhawk, Apellix, and DroneBase, as well as in-house drone inspection programs at major wind turbine manufacturers including Vestas and Siemens Gamesa. The wind energy sector represents a growing market for automated inspection as global installed wind capacity expands and blade maintenance costs become a significant component of wind farm operating expenditure. AI-powered defect detection that can prioritise maintenance work orders based on damage severity provides direct cost reduction for wind farm operators managing large fleets of turbines across geographically distributed sites. 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.

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

Nearthlab has about 1-50 employees; Trax Retail has about 500-1000. 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 Nearthlab and Trax Retail compete in Computer Vision, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.