Karat, a leader in technical talent measurement and elevation, has acquired Byteboard, a skills-based technical assessment solution. This marks Karat’s third acquisition in two years, enhancing its ability to support organizations hiring top-tier talent in an evolving AI landscape.
- Strategic Acquisition
- Byteboard’s proprietary talent assessment technology broadens Karat’s capabilities across roles, skills, and levels in the hiring process.
- The acquisition strengthens Karat’s ability to measure candidate proficiency in AI tools and building AI-enabled products.
- Enhancing AI-Driven Hiring
- Byteboard’s approach integrates AI-enabled skills assessment with Karat’s human-technology hybrid model.
- This collaboration delivers predictive hiring signals for Fortune 500 companies, enabling better evaluation of technical talent in complex AI-assisted workplaces.
Growth and Industry Impact
- Enterprise Growth
- Karat’s enterprise business has grown 70% year-over-year, reflecting increasing demand for its solutions.
- Companies in financial services, retail, healthcare, energy, and insurance are adopting Karat’s talent measurement standards to improve engineering quality.
- Byteboard’s Expertise
- Byteboard, spun out of Google’s R&D lab Area 120 in 2021, focuses on project-based evaluations to measure real-world technical skills.
- Its mission aligns with Karat’s vision of future-proofing workforces by accurately assessing job readiness.
Leadership Perspectives
- Mohit Bhende, CEO of Karat
- “Byteboard’s AI-enabled skills assessment complements Karat’s expertise, helping businesses hire top talent for AI-assisted environments.”
- Sargun Kaur, CEO of Byteboard
- “Our technology ensures real-world technical skills are the most effective signal for job readiness, enhancing Karat’s ability to meet the needs of the AI-enabled workplace.”
The Karat-Byteboard partnership represents a significant step forward in transforming technical hiring processes. By leveraging AI-driven assessments and human insight, this collaboration is set to redefine how organizations measure, evaluate, and hire top engineering talent, ensuring preparedness for the challenges of an AI-enabled future.