Kazimi
Berlin startup using privacy-preserving cryptographic proofs to help mobile apps tell real users from bots.
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Kazimi is a Berlin-based mobile security startup that closed a €2.2M pre-seed round in August 2026, led by Market One Capital with IBB Ventures and angels. Its team previously built fraud-detection systems at Adjust.
Its software lets app developers verify first-party data and detect non-human activity without collecting personal data, relying on cryptographic proofs. Clients include mobile gaming studios, rewards platforms and fintech apps.
Innovation Matrix Assessment
Privacy-preserving bot attestation is a fresh angle for mobile fraud.
Helps clean attribution and fraud data, mainly for marketing and app-economy teams.
€2.2M pre-seed; clients are described only by type.
Cryptographic proofs instead of PII-based profiling is a differentiated approach.
No independent evidence of detection performance.
Bot and fraud pressure on mobile apps will grow with AI automation.
Why CISOs Should Care
Reduces bot-driven fraud and polluted install/engagement data in mobile apps without added personal-data collection.
What Makes It Different
Uses cryptographic proofs rather than behavioral or PII-based profiling to separate humans from bots.
The Matrix Verdict
47/100 — EMERGING / UNRANKED
Kazimi is Emerging/Unranked: interesting privacy-first design, but very early with no independent validation.
Editorial Note: Claims vs. Verified Findings
Detection effectiveness claims are the company's own. Founding year and customer names were not found.
Sources
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