Most performance reviews only see what's easy to count. The incident fixed at 2am, the code reviews nobody tracks, the teammate who got unblocked: that work rarely makes it into the review. Clariel brings it into view. What Clariel helps you do: - Recognize contributions that might otherwise go unnoticed - Spend less time collecting evidence for reviews - Evaluate people against clear, shared expectations - Make better-supported decisions on development, progression, pay and promotion How it works: Define → Observe → Evaluate → Act • Define (Organization): set roles, levels, and what good looks like at each level • Observe (Observability): collect work signals from tools like GitHub and Jira, plus structured feedback • Evaluate (Performance): assess evidence against expectations; Clariel AI summarizes patterns and development opportunities • Act (Watchtower): use the insights in development conversations and leadership decisions Clariel AI suggests. People decide. Work signals are collected automatically; expectations, feedback, reviews, and decisions stay with managers and employees. For HR leaders, Heads of People, CTOs, and product leaders who want reviews built on evidence, not memory. Book a demo: https://clariel.io/book-a-demo/
| Website | http://clariel.io |
| Employees | 4 (2 on RocketReach) |
| Founded | 2024 |
| Industry | Human Resources Services |
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Mihail Dimitrovski is the CTO of clariel.io.
2 people are employed at clariel.io.
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