Clearly AI
An AI assistant for security teams that reads your product designs and vendor contracts and flags privacy or security risks before they become a problem.
🔗 Visit Clearly AI
Description
Every new feature or vendor a company adopts is supposed to go through a security and privacy review — but in practice, those reviews are often the bottleneck that makes engineering teams wait weeks for a green light, or worse, get skipped entirely under deadline pressure. Clearly AI tries to fix that bottleneck by having AI do the first pass: it reads through design docs, vendor contracts, and existing tickets, flags likely risks using the same reasoning a human reviewer would, and lets a real person just check its work instead of starting from a blank page.
The platform integrates with Jira, GitHub, Confluence, and Google Drive to learn an organization's existing security standards, then automates threat modeling, architecture reviews, and vendor risk assessments with human-in-the-loop validation and stated hallucination safeguards. It offers single-tenant, private cloud, and bring-your-own-cloud (BYOC) deployment options. The company raised an $8.4M seed round, was a Top 10 finalist at the RSAC 2026 Innovation Sandbox, and counts Rivian, HID Global, and Webflow among its customers — Rivian reportedly cut its privacy impact assessment timeline by 90%.
💬 Our review
The short version: Clearly AI is chasing a genuinely painful, unglamorous problem — security review backlogs — and doing it with founders who've actually sat in the reviewer's chair at Amazon and Moveworks, which shows in how specifically it's scoped (threat modeling, design review, vendor risk) rather than a vague 'AI for security' pitch.
It doesn't compete directly with GRC platforms like Vanta or OneTrust, which focus on collecting compliance evidence for audits — Clearly AI sits earlier in the pipeline, doing the actual risk-assessment reasoning on a specific design or vendor before anything reaches an audit. The claimed 90% timeline reduction (from the Rivian case) is a strong number, though as with any single customer case study it's worth validating against your own workflow before assuming it generalizes. Pricing is entirely custom and undisclosed, which is standard for enterprise security tooling but means there's no way to self-serve evaluate cost before a sales conversation. For security or privacy teams drowning in review requests who want an AI first-pass rather than doing every review from scratch, it's a genuinely differentiated tool worth a demo; teams needing broad audit-evidence collection across many frameworks are better served by a GRC platform like Vanta.
📊 Global score
🤖 AI-enriched data
Prix non public. Levée de fonds seed de $8.4M.
Pros
Automatise le threat modeling et les revues d'architecture
Réduction de 90%+ du temps de revue chez Rivian
Intégrations natives (Jira, GitHub, Confluence, Google Drive)
Options de déploiement flexibles (single-tenant, BYOC)
Cons
Prix non public, vente enterprise uniquement
Pas de composant open-source
Nécessite une intégration avec les workflows existants