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Invisible Technologies has agreed to acquire WeCP, an AI-native system used to evaluate technical talent, as the company expands its infrastructure for training advanced artificial intelligence systems.
The acquisition aims to strengthen Invisible Technologies’ ability to validate domain experts whose knowledge is used to train and refine AI models deployed in fields such as engineering, healthcare and finance.
WeCP’s platform provides tools to assess specialized technical skills and domain expertise through structured testing frameworks. The system has generated more than two million real-world technical interviews and built over 18,000 domain- and role-specific assessment frameworks across areas including software engineering, banking, healthcare and other STEM disciplines.
The company has also developed infrastructure supporting reinforcement learning training environments and task simulation systems, which are increasingly used to train AI models through real-world problem-solving scenarios.
Matt Fitzpatrick said integrating WeCP’s evaluation technology into the company’s AI training platform will help improve the accuracy and speed of expert validation used in AI development.
Invisible plans to integrate WeCP into its Meridial AI training platform, which supports the development and validation of large-scale AI models and agent-based systems.
WeCP was founded by Abhishek Kaushik and Mohit Goyal, alumni of National Institute of Technology Tiruchirappalli. Kaushik previously worked at Google while Goyal held roles at Meta Platforms.
Both founders, along with members of the WeCP team, are expected to join Invisible Technologies as part of the deal and continue developing the platform’s technical assessment capabilities.
Kaushik said the company originally set out to improve technical interview systems but eventually expanded into a broader platform designed to measure real-world skills and reasoning capabilities across specialized professions.
By combining WeCP’s assessment frameworks with its own AI training infrastructure, Invisible Technologies said it aims to scale high-quality expert validation for AI systems operating in complex domains where accuracy and domain knowledge are critical.
The acquisition aims to strengthen Invisible Technologies’ ability to validate domain experts whose knowledge is used to train and refine AI models deployed in fields such as engineering, healthcare and finance.
WeCP’s platform provides tools to assess specialized technical skills and domain expertise through structured testing frameworks. The system has generated more than two million real-world technical interviews and built over 18,000 domain- and role-specific assessment frameworks across areas including software engineering, banking, healthcare and other STEM disciplines.
The company has also developed infrastructure supporting reinforcement learning training environments and task simulation systems, which are increasingly used to train AI models through real-world problem-solving scenarios.
Matt Fitzpatrick said integrating WeCP’s evaluation technology into the company’s AI training platform will help improve the accuracy and speed of expert validation used in AI development.
Invisible plans to integrate WeCP into its Meridial AI training platform, which supports the development and validation of large-scale AI models and agent-based systems.
WeCP was founded by Abhishek Kaushik and Mohit Goyal, alumni of National Institute of Technology Tiruchirappalli. Kaushik previously worked at Google while Goyal held roles at Meta Platforms.
Both founders, along with members of the WeCP team, are expected to join Invisible Technologies as part of the deal and continue developing the platform’s technical assessment capabilities.
Kaushik said the company originally set out to improve technical interview systems but eventually expanded into a broader platform designed to measure real-world skills and reasoning capabilities across specialized professions.
By combining WeCP’s assessment frameworks with its own AI training infrastructure, Invisible Technologies said it aims to scale high-quality expert validation for AI systems operating in complex domains where accuracy and domain knowledge are critical.
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