Invisible Technologies has announced that it has entered into an agreement to acquire WeCP, an AI-native technical assessment platform known for its rigorously validated evaluation frameworks.
This acquisition marks an important step toward improving how experts are evaluated for advanced AI training environments.
By integrating WeCP’s technical assessment infrastructure into Invisible’s AI training platform, Meridial, the companies aim to significantly increase the precision, reliability, and speed of expert evaluations used in AI development.
Why Expert Validation Matters for AI
As artificial intelligence systems continue to expand into complex industries such as healthcare, finance, and engineering, the quality of the experts training and validating these systems becomes increasingly critical.
Modern AI models rely heavily on human experts to evaluate outputs, create training data, and validate reasoning. Without rigorous validation frameworks, AI training pipelines can suffer from inconsistent quality, unreliable labeling, and reduced performance.
This is where structured expert evaluation becomes essential.
WeCP has spent the past several years building frameworks that allow organizations to systematically evaluate technical expertise at scale, ensuring that the right experts contribute to high-impact AI systems.
What WeCP Brings to Invisible
WeCP has developed one of the most comprehensive technical assessment libraries in the market, designed to evaluate deep technical expertise across multiple industries.
The platform includes:
- 18,000+ scope-specific technical assessments
- Over 2 million real-world interview records
- Coverage across domains including:
- Engineering
- Banking
- Healthcare
- Finance
- Advanced STEM fields
These frameworks allow organizations to perform high-fidelity evaluations of domain expertise, helping ensure that experts contributing to AI systems are accurately vetted.
Built over the past five years, WeCP’s infrastructure enables organizations to evaluate skills, reasoning ability, and domain knowledge with precision.
Strengthening AI Training Infrastructure
According to Matt Fitzpatrick, CEO of Invisible Technologies, integrating WeCP into Invisible’s ecosystem will significantly strengthen the company’s AI training capabilities.
This acquisition expands our foundation of high-precision AI training. The performance of advanced AI systems depends on trusted human expertise, and WeCP’s assessment engine has built one of the most extensively refined technical assessment libraries in the market. By integrating WeCP into Invisible’s AI training platform, Meridial, we’re raising the bar on precision and speed for expert evaluation across our platform while also accelerating our capabilities in reinforcement learning gyms and simulated environments.
Invisible plans to integrate WeCP’s evaluation frameworks directly into Meridial, its AI training platform.
This integration will support:
- More precise expert validation workflows
- Improved reinforcement learning training environments
- Advanced task simulation frameworks
- Higher-quality human input for AI systems
The Vision Behind WeCP
WeCP was founded by Abhishek Kaushik (formerly Google) and Mohit Goyal (formerly Meta) with a mission to solve one of the most persistent challenges in technical hiring and evaluation:
Traditional talent vetting does not scale for high-precision work.
Over the years, the platform has been used by global organizations including:
- Deutsche Telekom
- Cummins Inc.
- Hilti
These companies have relied on WeCP’s infrastructure to evaluate technical talent with structured assessments and real-world problem simulations.
Abhishek Kaushik shared his perspective on the acquisition:
We built WeCP to solve a fundamental challenge: traditional talent vetting does not scale for high-impact, high-precision work. Joining Invisible allows us to extend our assessment frameworks into advanced AI training environments where rigor and accuracy are essential.
What Happens Next
Following the acquisition, WeCP’s evaluation infrastructure will be integrated into Meridial, Invisible’s AI training platform.
This will allow Invisible to:
- Evaluate domain experts more accurately
- Improve reinforcement learning pipelines
- Strengthen expert validation for AI systems
- Expand AI training capabilities across industries
As part of the transition:
- Abhishek Kaushik and Mohit Goyal will join Invisible
- Key members of the WeCP team will also continue contributing to the platform’s development
Their expertise will help further expand Invisible’s AI Training business and strengthen its mission of making AI work through reliable human expertise.
Looking Ahead
As AI systems continue to evolve, the quality of expert evaluation will become one of the most important factors shaping model performance.
The combination of Invisible’s AI training infrastructure and WeCP’s validated assessment frameworks aims to create a more reliable foundation for training advanced AI systems.
By bringing together structured expert validation and scalable AI training workflows, this partnership is positioned to play an important role in the next generation of AI development.
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