Seal Security vs Armilla AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Seal Security leads in AI visibility (67 vs 37)
Seal Security logo

Seal Security

ChallengerSecurity

General

Israel YC W20 open source vulnerability patching without version upgrades or breaking changes; $20M from MORE Investment House/SBI/PayPal Alumni Fund fixing CVEs for Linux/containers/dependencies competing with Snyk and Mend for production-safe security remediation.

AI VisibilityBeta
Overall Score
B67
Category Rank
#205 of 1158
AI Consensus
52%
Trend
up
Per Platform
ChatGPT
66
Perplexity
74
Gemini
58

About

Seal Security is a Tel Aviv, Israel-based open source vulnerability patching platform — backed by Y Combinator (W20) with $20 million in total funding from MORE Investment House, SBI Insurance Group, Crew Capital, Cyber Club London, and PayPal Alumni Fund — providing development and security teams with standalone, production-ready security patches for open source software vulnerabilities that fix critical CVEs without requiring version upgrades or introducing breaking changes to application dependencies, Linux systems, and container-based images. Founded in 2020, Seal Security enables organizations to remediate critical vulnerabilities quickly — decoupling the security fix from the broader version update that typically breaks downstream functionality and triggers weeks of regression testing.

Full profile
Armilla AI logo

Armilla AI

EmergingInsurance Tech

General

AI quality assurance with insurance-backed warranties from Swiss Re and Greenlight Re; EU AI Act compliance assessments backed by YC and reinsurance partners for high-risk AI deployments.

AI VisibilityBeta
Overall Score
D37
Category Rank
#211 of 1158
AI Consensus
57%
Trend
up
Per Platform
ChatGPT
42
Perplexity
44
Gemini
36

About

Armilla AI is a third-party AI quality assurance and warranty company that evaluates AI models for organizations deploying AI in regulated or high-stakes contexts — assessing models against EU AI Act and NIST AI Risk Management Framework requirements for risks including bias, hallucination, robustness failures, and adversarial vulnerabilities, then providing performance guarantees backed by insurance coverage from reinsurers Swiss Re, Greenlight Re, and Chaucer. Founded in Toronto, Canada, Armilla raised $6.81 million total including a C$4.5 million seed round in February 2024 from Mistral Venture Partners, MS&AD Ventures, Y Combinator, and its reinsurance partners.\n\nArmilla's model is unique in the AI governance market — rather than just providing compliance reports, Armilla backs its assessments with insurance warranty products. An enterprise deploying a third-party AI model can purchase an Armilla warranty that pays out if the model performs differently than assessed (fails on bias, accuracy, or robustness metrics), transferring AI performance risk to insurance markets that can price and distribute it. This insurance mechanism creates financial accountability for AI quality claims that audit reports alone don't provide.\n\nIn 2025, Armilla competes in the AI governance, risk, and compliance market with Credo AI, Arthur AI, and AI audit firms for enterprise AI risk assessment and compliance tools. The EU AI Act, fully applicable by August 2025 for high-risk AI systems, is driving enterprise compliance urgency — companies deploying AI in hiring, credit scoring, healthcare, and other regulated contexts need third-party conformity assessments. Armilla's insurance-backed warranty differentiates its offering from pure advisory competitors. The reinsurer backing (Swiss Re, Greenlight Re, Chaucer) provides both capital credibility and distribution through insurance broker channels. The 2025 strategy focuses on growing EU AI Act compliance assessments and expanding the warranty product coverage to more AI deployment use cases.

Full profile

AI Visibility Head-to-Head

67
Overall Score
37
#205
Category Rank
#211
52
AI Consensus
57
up
Trend
up
66
ChatGPT
42
74
Perplexity
44
58
Gemini
36
62
Claude
45
77
Grok
28

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