Snyk vs Signzy

Snyk has a disclosed valuation of $7.4B, while Signzy's valuation is not publicly available, making a direct size comparison difficult. Snyk employs 2000 people.

Snyk has raised more in total funding at $1.3B, compared to Signzy's $26M — a gap of $1.3B. Combined, the two companies have completed 11 known funding rounds.

Snyk leads with an Awaira Score of 82/100, while Signzy sits at 63/100. That 19-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Snyk was founded by Guy Podjarny in 2015. Signzy was founded by Nikhil Idnani in 2015. Visit each company's profile on Awaira for a full founder biography.

Snyk: Snyk is a developer security platform founded in 2015 that specializes in identifying and fixing vulnerabilities in open-source dependencies, container images, and infrastructure-as-code. The company operates at the intersection of DevSecOps and AI, providing automated scanning and remediation tools integrated into development workflows. Snyk's core products include dependency scanning, container security, infrastructure-as-code scanning, and code analysis capabilities powered by machine learning and vulnerability intelligence databases. The platform integrates with popular development tools and CI/CD pipelines including GitHub, GitLab, Bitbucket, and Jenkins, enabling developers to identify security issues during development rather than post-deployment. With a valuation of $7.4 billion and total funding of $1.32 billion across Series G funding, Snyk has achieved significant growth in the expanding application security market. The company serves enterprise customers across multiple industries, addressing the critical challenge of securing software supply chains as organizations increasingly rely on open-source components. Snyk competes with companies including Sonatype, Aqua Security, and Anchore in the developer-first security space. The platform's approach emphasizes shifting security left in the development lifecycle, reducing remediation costs and time-to-fix vulnerabilities. Growth has been driven by increasing regulatory requirements, rising software supply chain attacks, and enterprise adoption of DevSecOps practices. Snyk uniquely positions security enforcement at the point of code development, enabling developers to fix vulnerabilities before deployment with AI-powered remediation guidance. Signzy: Signzy is a digital identity verification and KYC automation platform that uses AI-powered document analysis, liveness detection, and database integration to enable financial institutions and regulated businesses to onboard customers remotely with regulatory compliance. The platform processes identity documents, conducts video KYC, and provides risk scoring through APIs that integrate with banking and fintech onboarding workflows.\n\nThe company raised approximately $26M in Series B funding from investors including Vertex Ventures and Arkam Ventures, and serves a large base of banks, NBFCs, insurance companies, and fintech platforms in India. Signzy processed tens of millions of KYC verifications and has been recognized by the Reserve Bank of India for its video KYC framework contributions.\n\nVideo KYC and digital identity verification have become mandatory for regulated financial services in India, creating a large and recurring market for compliant identity infrastructure. Signzy's deep regulatory expertise and production track record across India's financial system give it a significant advantage over generic identity verification platforms that lack India-specific compliance depth.

Both Snyk and Signzy launched in 2015. Same year, but even a few months' head start matters in AI — early movers lock in data, talent, and customer relationships fast.

Snyk has about 2000 employees; Signzy has about 200-500. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Snyk and Signzy compete in AI Security, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.