Realeyes vs Tractable

Tractable has a disclosed valuation of $1B, while Realeyes'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 Realeyes's $30M — a gap of $155M. Combined, the two companies have completed 6 known funding rounds.

Tractable leads with an Awaira Score of 80/100, while Realeyes sits at 48/100. That 32-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Realeyes was founded by Mihkel Jäätma in 2007. Tractable was founded by Alexandre Dalyac in 2014. Visit each company's profile on Awaira for a full founder biography.

Realeyes: Realeyes develops emotion AI and attention measurement technology that uses facial coding and computer vision to analyse viewer emotional responses to video content, providing advertising effectiveness measurement, content testing, and attention analytics to media companies, advertisers, and market research firms. The Tallinn-founded company uses webcam-based facial analysis to measure emotional engagement, confusion, and attention in real time during content viewing sessions.\n\nThe company raised approximately $30 million in venture funding from investors including Draper Esprit and Karma Ventures. Realeyes counts major advertising agencies and brand marketers including Unilever, Ford, and Coca-Cola among clients that use the platform to pre-test advertising creative and predict viewership attention before campaign launch. The company has published research on the correlation between emotional engagement measured by its technology and downstream advertising recall and purchase intent metrics.\n\nRealeyes competes in the emotion AI and attention measurement market alongside Affectiva, iMotions, and Tobii, as well as survey-based advertising research methods from Nielsen and Kantar. Privacy regulation changes, particularly browser and device restrictions on third-party cookies and the deprecation of persistent user tracking, create both challenges and opportunities for camera-based attention measurement as an alternative metric for advertising effectiveness. The company Estonian origin reflects the deep computer vision research community at Tartu University that has supplied technical talent across the Estonian technology sector. 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.

Realeyes got there first, launching in 2007 — that's 7 years of extra runway. Tractable didn't arrive until 2014. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Both Realeyes and Tractable report about 100-500 employees. Team size is a rough proxy for scale, but lean AI companies routinely punch above their headcount.

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