Nearthlab vs Tractable

Tractable has a disclosed valuation of $1B, while Nearthlab's valuation is not publicly available, making a direct size comparison difficult. Tractable employs 100-500 people.

Tractable has raised more in total funding at $185M, compared to Nearthlab's $15M — a gap of $170M. Combined, the two companies have completed 5 known funding rounds.

Tractable leads with an Awaira Score of 80/100, while Nearthlab sits at 40/100. That 40-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Nearthlab was founded by Thomas Kim in 2015. Tractable was founded by Alexandre Dalyac in 2014. 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. Tractable: Tractable builds AI systems for visual damage assessment in insurance and automotive claims processing, using deep learning models trained on millions of historical repair estimates and vehicle inspection images. The platform automates appraisals for vehicle collisions, property damage, and disaster recovery, enabling insurers and repairers to process claims in minutes rather than days.\n\nThe company has raised approximately $115 million across five funding rounds and reached unicorn status with a valuation of $1 billion following its Series E. Tractable counts major global insurers and automotive groups among its clients, including Tokio Marine, Covea, and Admiral, with the platform processing claims across North America, Europe, and Japan.\n\nTractable operates in the AI-powered claims automation market, where the total addressable opportunity spans trillions of dollars in annual insurance premiums. The company faces competition from incumbent claims management software vendors and newer AI entrants but maintains a significant advantage through its proprietary training dataset built over a decade of insurance-specific deployment. The platform is estimated to handle billions of dollars in automotive damage assessments annually. Tractable operates in the Computer Vision sector and is headquartered in United Kingdom. Founded in 2014 by Alexandre Dalyac, Tractable has raised $185M in total funding, achieving a valuation of $1B as of its latest round. The company's funding journey includes a Series C of $25M in 2020, a Series D of $65M in 2022. The most recent round was led by Insight Partners. With approximately 100-500 employees, Tractable has established itself as a Series E-stage player in the Computer Vision market. The company holds an Awaira Score of 80/100, reflecting its strong position across valuation, funding trajectory, team scale, and market influence. Tractable competes in a rapidly evolving segment alongside other Computer Vision companies. Based in United Kingdom, Tractable is part of a growing international AI ecosystem attracting talent and investment. The Computer Vision space has attracted significant investment in recent years, with companies racing to capture enterprise and consumer demand for AI-powered solutions.

Tractable got there first, launching in 2014 — that's 1 year 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; Tractable has about 100-500. 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 Nearthlab and Tractable compete in Computer Vision, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.