Unboxable
Hiring Prediction Technology
Company Overview
Snapshot
Founded in May 2020 by Yardenne Assa and Stephie Knopel, Unboxable operates with 1–10 employees. The company has raised $3 million across one funding round from TLV Partners. Unboxable ceased operations in June 2025.
Business overview
Unboxable is a Business Software company focused on disrupting traditional hiring processes. The company develops a data-driven platform that utilizes job simulator technology to replace standard job applications, aiming to help companies make smarter hiring decisions. Its core product, TrueFit, is designed to accelerate the discovery and hiring of compatible talent by leveraging deep, personalized data. Unboxable primarily serves the Human Resources Management sector within Enterprise & Professional Services, targeting Enterprises and SMBs & SMEs.
Strategic signal
Unboxable ceased operations in June 2025, indicating a significant strategic shift and the conclusion of its efforts to disrupt traditional hiring protocols. This event signals to investors and innovation teams that the company's approach to AI-driven hiring prediction technology did not achieve sustainable market traction or operational viability, leading to its non-active status.
Company Intelligence Q&A
- When was Unboxable founded?
- Unboxable was founded in May 2020 by co-founders Yardenne Assa and Stephie Knopel.
- What is Unboxable's primary focus?
- Unboxable focuses on disrupting traditional hiring processes by replacing outdated protocols like CVs with a data-driven platform that uses job simulator technology to match candidates with companies.
- What is the status of Unboxable?
- Unboxable is currently non-active and ceased to operate in June 2025.
- How much funding has Unboxable raised?
- Unboxable has raised a total of $3 million in a Seed round from TLV Partners.
- What technology does Unboxable utilize?
- Unboxable leverages Artificial Intelligence, specifically Machine Learning and Deep Learning, as well as web-based Platforms & Interfaces, to power its hiring prediction technology.