--- title: "About Clearly AI | Built by Security Engineers for Security Engineers" description: "Meet the security engineers behind Clearly AI, the continuous threat modeling platform. Founded in Seattle in 2024 and backed by Basis Set and Crosspoint." canonical: https://clearly-ai.com/about-us --- _About Clearly AI_ # We built the tool we wished we had Emily and Joe Choi-Greene founded Clearly AI in Seattle in 2024, after running hundreds of security reviews at Amazon. We've raised $8.4M from Basis Set Ventures, Crosspoint Capital Partners, [and more](https://clearly-ai.com/about-us#investors), and we were named a Top 10 Finalist in the RSAC 2026 Innovation Sandbox. - [Contact Enterprise Sales](https://clearly-ai.com/demo) - [Read our story](https://clearly-ai.com/blog/why-we-started-clearly-ai) ## Trusted by product security, privacy, and GRC teams across automotive, telecom, fintech, and more - HID - Ericsson - PayPal - Modern Health - Hagerty - Rivian - Infineon - Bastion ## Founders Emily and Joe met in 2019 on the same Alexa security review at Amazon. Hundreds of reviews later, they got married and started a company to fix the process they'd both been stuck in. ![Emily Choi-Greene speaking into a microphone at an event](https://clearly-ai.com/about/founders.jpg) Emily Choi-Greene and Joe Choi-Greene, co-founders of Clearly AI. ### Emily Choi-Greene _Co-Founder & CEO_ Led Alexa AI Security at Amazon, then owned data security and privacy at Moveworks (acquired by ServiceNow). Hundreds of security and privacy reviews, from AI data lifecycles to an ML compute platform used by 5,000+ scientists. Computer Science, High Honors, Dartmouth. [LinkedIn](https://www.linkedin.com/in/emilycg/) ### Joe Choi-Greene _Co-Founder & CTO_ Senior software engineer at Amazon. Led satellite telemetry for Project Kuiper, built exabyte-scale data lakes at Alexa, and automated data compliance for regulations like GDPR and HIPAA. Computer Science, Carnegie Mellon. [LinkedIn](https://www.linkedin.com/in/jcg-cmu/) _Watch the pitch_ ## 3 minutes on the RSAC stage In March 2026, Emily pitched Clearly AI on the main stage at the RSAC Innovation Sandbox as one of 10 finalists selected from hundreds of submissions. The whole problem, and how we solve it, in three minutes. [Watch Emily Choi-Greene pitch Clearly AI on YouTube](https://www.youtube.com/watch?v=hT9zpTr57Os) Emily Choi-Greene, CEO of Clearly AI, at the RSAC 2026 Innovation Sandbox. ![Emily Choi-Greene on stage at the RSAC 2026 Innovation Sandbox](https://clearly-ai.com/about/rsac-pitch-poster.jpg) _Why we built this_ ## When developers ship in minutes, your reviews can’t take months Engineering teams ship faster than ever, and AI-written code is widening the gap. Security teams are still responsible for everything, and most formally review 10–15% of it. The rest ships without a documented assessment: not by choice, but because every review starts from a blank whiteboard. So we built the platform we wished we had. ### Coverage **The typical approach:** A fraction of launches get reviewed. The rest can get deferred until after launch. **Clearly AI:** Every change that ships gets a threat model, triggered from Jira, GitHub, and more [How continuous threat modeling works](https://clearly-ai.com/solutions/continuous-threat-modeling) ### Setup **The typical approach:** Meetings, whiteboards, and diagrams before a single finding **Clearly AI:** Point it at a ticket, design doc, or repo. Agents gather the context and draft the assessment. [See security intake](https://clearly-ai.com/platform/security-intake) ### Trust **The typical approach:** Findings vary by reviewer. Hard to defend in an audit. **Clearly AI:** Every finding cites its source. Versioned templates make results consistent and auditable. ### Scope **The typical approach:** One tool for threat models, another for vendors, spreadsheets for the rest **Clearly AI:** Threat models, PIAs, vendor risk, AI risk, and compliance reviews on one platform and one license [Explore the platform](https://clearly-ai.com/platform) ### Workflow **The typical approach:** Findings live in a doc nobody reopens **Clearly AI:** Findings route to Jira, Slack, ServiceNow, and the IDE through our MCP server [Integrations](https://clearly-ai.com/integrations) - **90%** Reduction in review turnaround time - **4x** Review capacity with the same headcount. - **From 10 to 100%** Product coverage ![Four Clearly AI team members working together on laptops at a wooden table](https://clearly-ai.com/about/team-table.jpg) > "Security doesn't break down because of bad tools or bad engineers. It breaks down when the right information doesn't reach the right people at the right time." > > **Emily Choi-Greene** > Co-Founder & CEO _What we believe_ ## Four beliefs we build by We are rebuilding how regulated enterprises decide what's safe to ship. These are the principles behind every release. ![Clearly AI team hiking together](https://clearly-ai.com/about/figma/team-hike.jpg) ### Make the secure path the easy path Developers skip security when it's slow. Take the friction out, and doing it right becomes the default. ### Security breaks at the boundaries Security engineers know security. Developers know their systems. Most risk sits in the gap between them, so that's where Clearly AI works. ### Be clear about what's ready We label what's live, what's in beta, and what's coming soon. If it's on the roadmap, we'll call it a roadmap item and show you where it stands. ### Save people for judgment Gathering context and drafting findings should be automated. Weighing tradeoffs, reasoning about attack paths, and signing off should stay human. _Join us_ ## Build what security engineering becomes People join Clearly AI to use AI to improve security across the industries everyone depends on: financial services, energy, telecom, automotive, and more. Security engineering in 2035 will look nothing like it does today. It'll be more interesting, a lot more fun, and closer to wizardry, or running a legion of agents. The people here get to define what that looks like. Our team is made up of the best security nerds in the business, who've tackled security at scale at companies like Amazon, Google, Airbnb, Twilio, Lyft, NetSPI, Microsoft, Meta, Apple, Palo Alto Networks, GitLab, and more. ### Our leadership principles 01. **Stay curious, keep learning.** Growth comes from asking questions, seeking context, and pushing beyond comfort zones. 02. **Be scrappy, make it happen.** Creativity and resourcefulness beat polish and over-planning. Action matters more than perfection. 03. **Drive with purpose.** Grit, energy, and intentionality fuel progress. We move with clarity, not just momentum. 04. **Communicate with clarity.** No noise, no jargon. Share context, listen first, and make sure everyone understands. 05. **Lead with conviction and humility.** Have strong beliefs, but hold them lightly. Confidence paired with openness earns trust. 06. **Collaborate with empathy.** Understand teammates and customers deeply. Compassion drives better products and stronger teams. 07. **No lone wolves.** We win as a team. Share context, align, and build together. 08. **No jerks.** Respect is non-negotiable. Talent never excuses arrogance or intolerance. 09. **Process serves progress.** Keep it simple, keep it fast. Process should enable, not block progress. 10. **Do right, always.** Integrity over shortcuts. We earn trust by doing what's right for customers, teammates, and the company. 11. **Put people first.** AI should augment humans and make our lives better. Work should support life, not consume it. 12. **Secure by default.** Privacy and security are foundational. We lead by example, protect data relentlessly, and practice the same standards we expect others to uphold. ### Sound like you? [See open roles](https://clearly-ai.com/careers) ## Backed by investors and security leaders who've run the programs we serve $8.4M seed from Basis Set Ventures, Crosspoint Capital Partners, Argon Ventures, Ritual Capital, and Y Combinator, plus angels who've run security and privacy programs at companies like Amplitude, OKX, Brex, and Meta. Basis Set Ventures, Crosspoint Capital Partners, Y Combinator, Ritual Capital, Argon Ventures ### Angel investors and advisors - ![Ellen Pao](https://clearly-ai.com/about/angel-ellen-pao.png) **Ellen Pao**, fmr CEO, Reddit - ![Gerhard Eschelbeck](https://clearly-ai.com/about/angel-gerhard-eschelbeck.png) **Gerhard Eschelbeck**, CISO, Kodiak Robotics - ![Terry O’Daniel](https://clearly-ai.com/about/angel-terry-odaniel.png) **Terry O’Daniel**, fmr CISO, Amplitude - ![Alesya Nasimova](https://clearly-ai.com/about/angel-alesya-nasimova.png) **Alesya Nasimova**, Head of Privacy & DPO, Brex - ![Kathy Del Gesso](https://clearly-ai.com/about/angel-kathy-del-gesso.png) **Kathy Del Gesso**, fmr CISO, OKX - ![Greg Chappell](https://clearly-ai.com/about/angel-greg-chappell.png) **Greg Chappell**, Staff Privacy Engineer, Meta - ![Avi Gurung](https://clearly-ai.com/about/angel-avi-gurung.png) **Avi Gurung**, Director of Identity & Security, Charter Communications - ![Peeyush Ranjan](https://clearly-ai.com/about/angel-peeyush-ranjan.png) **Peeyush Ranjan**, VP, Google Assistant - ![Patrick McCanna](https://clearly-ai.com/about/angel-patrick-mccanna.png) **Patrick McCanna**, Sr Principal Cybersecurity Architect, JP Morgan Chase - ![Ryan Knisley](https://clearly-ai.com/about/angel-ryan-knisley.png) **Ryan Knisley**, Chief Strategy Office, Air - ![Jon Raper](https://clearly-ai.com/about/angel-jon-raper.png) **Jon Raper**, Former CISO Chevron and Costco _Security and trust_ ## Held to the bar we'd set as buyers You'll hand us design docs, code, and vendor data. The criticality of this isn’t lost on us. Clearly AI is SOC 2 Type II audited, never trains on your data, and deploys the way your security team requires: multi-tenant, single-tenant, or in your own cloud. We even run our own vendor reviews and threat models on Clearly AI. - SAML SSO, SCIM, and customer-managed keys - Bring your own model keys, including Amazon Bedrock - SOC 2 Type II report available under NDA [Read our security and privacy overview](https://clearly-ai.com/trust/security-privacy) RSAC Innovation Sandbox Finalist 2026, AICPA SOC 2 Type II, GDPR, Amazon Bedrock Builders' Challenge winner 2025 _FAQ_ ## Answers to your top questions ### Who founded Clearly AI? Emily Choi-Greene (CEO) and Joe Choi-Greene (CTO) founded Clearly AI in 2024. Both are engineers who ran hundreds of security and privacy reviews at Amazon and Moveworks. [Read why we started Clearly AI](https://clearly-ai.com/blog/why-we-started-clearly-ai) ### Where is Clearly AI based? Seattle, Washington and remotely across the US. We work with enterprise customers across the US and Europe. ### Who has invested in Clearly AI? Clearly AI has raised $8.4M in seed funding from Basis Set Ventures, Crosspoint Capital Partners, Argon Ventures, Ritual Capital, and Y Combinator, plus angels including former CISOs of Amplitude and OKX. ### Is Clearly AI SOC 2 compliant? Yes. Clearly AI has completed a SOC 2 Type II audit, and customers can request the report under NDA. [See trust, security, and deployment](https://clearly-ai.com/platform/trust-security-and-deployment) ### Does Clearly AI train models on customer data? No. Clearly AI uses retrieval to work from your sources without training on them, and you can bring your own model keys, including Amazon Bedrock. ### Is continuous threat modeling the same as continuous monitoring? No. Continuous threat modeling means every change that ships gets a threat model, triggered automatically or on a schedule. Each review is a point-in-time assessment of a specific project version. [Learn more](https://clearly-ai.com/solutions/continuous-threat-modeling) ### Is Clearly AI hiring? Yes! We're growing quickly and are looking for the best of the best. [See open roles](https://clearly-ai.com/careers) ## Learn more - [Secure everything that ships](https://clearly-ai.com) - [We built the tool we wished we had](https://clearly-ai.com/about-us) - [One platform. From intake to remediation.](https://clearly-ai.com/platform) - [Know everything that needs a review. Skip the 300-question form.](https://clearly-ai.com/platform/security-intake) - [Ask only what matters. Get it right the first time.](https://clearly-ai.com/platform/conversational-intake) - [Every finding, tracked to a decision](https://clearly-ai.com/platform/resolve/risk-registry) - [Show leadership and auditors exactly what security reviewed](https://clearly-ai.com/platform/resolve/reporting) - [Security reviews you can stand behind, every time](https://clearly-ai.com/platform/quality) - [Threat models built from the tools you already use](https://clearly-ai.com/integrations) - [Threat models that know about today's attacks](https://clearly-ai.com/platform/threat-intelligence) - [Automate every step around the review](https://clearly-ai.com/platform/workflows) - [Threat models your teams can work on together](https://clearly-ai.com/platform/collaboration) - [Understand the system before the review starts](https://clearly-ai.com/platform/enterprise-context-graph) - [Trust, security, and deployment](https://clearly-ai.com/platform/trust-security-and-deployment) - [Every plan reviewed. Every risky change threat modeled.](https://clearly-ai.com/platform/ide-and-mcp) - [Verify what actually shipped](https://clearly-ai.com/platform/control-and-remediation-verification) - [A current threat model for everything that ships](https://clearly-ai.com/solutions/continuous-threat-modeling) - [Prove every product that ships meets your security bar](https://clearly-ai.com/solutions/product-security-assurance) - [Privacy reviews your team can stake decisions on](https://clearly-ai.com/solutions/privacy) - [Every vendor reviewed against your standards](https://clearly-ai.com/solutions/third-party-risk) - [Review every design before it's built](https://clearly-ai.com/solutions/design-and-architecture-reviews) - [Secure the AI you build, buy, and code with](https://clearly-ai.com/solutions/ai-agentic-security) - [Every regulation you answer to. One review process.](https://clearly-ai.com/solutions/compliance) - [Every product ready for the Cyber Resilience Act without growing your team](https://clearly-ai.com/solutions/compliance/cyber-resilience-act) - [Build vs. buy for security review automation](https://clearly-ai.com/compare/claude-chatgpt) - [The ThreatModeler alternative built from your own docs, code, and policies](https://clearly-ai.com/compare/threatmodeler) - [The Clover Security alternative with findings your team can trust](https://clearly-ai.com/compare/clover) - [The Prime Security alternative for every review your team runs](https://clearly-ai.com/compare/prime) - [Security and Privacy](https://clearly-ai.com/trust/security-privacy) - [Clearly AI Privacy Policy](https://clearly-ai.com/trust/privacy-policy) - [Clearly AI Subprocessors](https://clearly-ai.com/trust/subprocessors) - [AI Risk Reviews](https://clearly-ai.com/use-cases/ai-risk-reviews) - [Automate Triage](https://clearly-ai.com/use-cases/automate-triage) - [Privacy Impact Assessments](https://clearly-ai.com/use-cases/privacy-impact) - [Vendor Risk Assessments](https://clearly-ai.com/use-cases/vendor-risk) - [Threat Modeling](https://clearly-ai.com/use-cases/threat-modeling) - [Contact](https://clearly-ai.com/contact) - [Contact Enterprise Sales](https://clearly-ai.com/demo) - [Latest from the Clearly AI blog](https://clearly-ai.com/blog) - [In the news](https://clearly-ai.com/press) - [How Ericsson Enterprise Wireless Solutions cut review times by up to 80%](https://clearly-ai.com/customer-stories/ericsson) - [How HID Global reviews 300+ products for the Radio Equipment Directive with the team it already has](https://clearly-ai.com/customer-stories/hid-global) - [How Rivian scaled privacy and AI governance reviews 4x without adding headcount](https://clearly-ai.com/customer-stories/rivian) - [Part 2! Okay, privacy is different from security. Now what?](https://clearly-ai.com/blog/part-2-okay-privacy-is-different-from-security-now-what) - [How AI is rewiring our product engineering workflow](https://clearly-ai.com/blog/how-ai-is-rewiring-our-product-engineering-workflow) - [Good Data Scientists and Bad Outcomes, Part 1: What's the difference between security and privacy work?](https://clearly-ai.com/blog/good-data-scientists-and-bad-outcomes-what-s-the-difference-between-security-and-privacy-work) - [Why I Joined Clearly AI](https://clearly-ai.com/blog/why-vp-marketing-joined-clearly-ai) - [Skip the Marketing: Clearly AI for Technical People](https://clearly-ai.com/blog/clearly-ai-technical-explanation) - [Clearly AI Raises $8.4M Seed Round to Scale Product Security](https://clearly-ai.com/blog/seed-round) - [Why We Started Clearly AI](https://clearly-ai.com/blog/why-we-started-clearly-ai) - [Applying AI to Threat Modeling - Where AI Thrives, Survives, and Dies](https://clearly-ai.com/blog/applying-ai-to-threat-modeling) - [Why We Build in Public](https://clearly-ai.com/blog/why-we-build-in-public) - [Solving the Threat Modeling Bottleneck with AI Workflows](https://clearly-ai.com/blog/solving-the-threat-modeling-bottleneck-with-ai-workflows) - [Clearly AI Named Finalist in the 2025 Okta Startup Challenge](https://clearly-ai.com/blog/clearly-ai-named-finalist-in-the-2025-okta-startup-challenge) - [Security, SOC 2, & Startups](https://clearly-ai.com/blog/security-soc-2-startups) - [Building Reliable AI Systems for Security and Privacy Reviews](https://clearly-ai.com/blog/building-reliable-ai-systems-for-security-and-privacy-reviews) - [How to Automate Security and Privacy Reviews with Clearly AI](https://clearly-ai.com/blog/how-to-automate-security-and-privacy-reviews-with-clearly-ai) - [One Year of Clearly AI](https://clearly-ai.com/blog/one-year-of-clearly-ai) - [Navigating EU RED Compliance: Meeting the August 2025 Deadline](https://clearly-ai.com/blog/navigating-eu-red-compliance-meeting-the-august-2025-deadline) - [The AI Engineer Cheat Sheet](https://clearly-ai.com/blog/the-ai-engineer-cheat-sheet) - [Intelligent Vendor Risk Assessments](https://clearly-ai.com/blog/intelligent-vendor-risk-assessments) - [Clearly AI wins the AWS Bedrock Builder's Challenge](https://clearly-ai.com/blog/clearly-ai-wins-the-aws-bedrock-builder-s-challenge) - [Reviews, reviews, reviews!](https://clearly-ai.com/blog/reviews-reviews-reviews) - [Halfway through YC](https://clearly-ai.com/blog/halfway-through-yc) - [llms.txt — site overview for LLMs](https://clearly-ai.com/llms.txt) - [llms-full.txt — full site content for LLMs](https://clearly-ai.com/llms-full.txt) - [sitemap.xml — all public routes](https://clearly-ai.com/sitemap.xml) - [Documentation](https://docs.clearly-ai.com/docs) [Canonical page](https://clearly-ai.com/about-us)