HR Signal

Company Overview

Snapshot

Founded in November 2020 by Andrew Spott, Sagy Cohen, and Aaron Goodman, HR Signal operates with 1–10 employees. The company raised $1.6 million across one funding round and was acquired by Enrich Layer in June 2025.

Business overview

HR Signal is a business software company that develops AI-powered people analytics solutions for human resources management. The company's proprietary Workforce Insights Engine processes HR data to identify workforce trends, analyze job positions, map career paths, and predict employee retention risks. It serves the enterprise and professional services markets, including SMBs, service providers, and larger enterprises, with a focus on leveraging artificial intelligence and deep learning to enhance talent management.

Strategic signal

In June 2025, HR Signal was acquired by Enrich Layer, marking a significant exit for the company. This acquisition indicates a strategic move by Enrich Layer to integrate HR Signal's AI-driven people analytics capabilities, enhancing its data product offerings and validating the market's demand for advanced talent management solutions.

Company Intelligence Q&A

What is HR Signal's primary focus?

HR Signal focuses on providing real-time AI insights to enhance talent management, helping companies proactively retain employees by leveraging proprietary analytics to foster successful career paths.

When was HR Signal acquired?

HR Signal was acquired by Enrich Layer in June 2025, as reported by PYMNTS.com.

What technology does HR Signal utilize?

HR Signal utilizes artificial intelligence and deep learning within its proprietary Workforce Insights Engine to process HR data and unlock valuable workforce trends, job position analytics, career paths, and employee-specific retention risk predictions.

What was the last disclosed funding event for HR Signal?

HR Signal closed a $1.6 million pre-seed fundraise in March 2023, as reported by Crain's Cleveland.

What problem does HR Signal aim to solve for HR teams?

HR Signal aims to solve core problems faced by HR teams and companies by using HR data to predict who is most likely to quit and why, thereby enabling proactive employee retention strategies.