Comp AI

Comp AI is an AI-first, open-source platform that helps companies become and remain audit-ready for frameworks such as SOC 2, ISO 27001, HIPAA and GDPR. It automates work that would normally take weeks: collecting evidence, generating policies, monitoring risk and keeping controls current.

The experience challenge had two sides. Compliance is full of specialized language and processes that can intimidate a small team. It is also a trust-based decision: before connecting its infrastructure, a company needs to understand what the platform will do, how it protects information and what support it will receive.

My work was primarily engineering: building the surfaces through which new customers discovered Comp AI, evaluated its credibility and received support throughout the journey. In addition to growth and customer support experiences, I built the company's public Trust Center.

The company's story puts that stage into perspective. Comp AI launched from stealth in April 2025, announced a $2.6 million pre-seed round later that year and, on September 17, 2026, raised a $34 million Series A led by Roo Capital and Grand Ventures. The round brought publicly reported total funding to $37.5 million.

I worked as a Design Engineer, turning growth and customer experience needs into production experiences. My responsibility was to build: component architecture, responsive behavior, states, interactions and integration with content and data.

Communication was organized around the outcome a company wanted —becoming audit-ready and closing contracts— before technical terminology. Frameworks, automation and integrations remained present, but within a narrative explaining what the customer needed to do and what work Comp AI would take on.

I also built marketing assets for campaigns, launches and commercial touchpoints. Each piece needed to maintain the same promise and visual language as the product, from the first announcement to a customer success conversation.

I built experiences that turned interest into a clear next action: understand the product, evaluate available frameworks, learn the level of automation and start a conversation. The page needed to communicate speed without oversimplifying a security decision.

I worked on the hierarchy of value proposition, social proof, capabilities and calls to action for different levels of intent. The experience was built to grow with the brand, incorporating new use cases, integrations and trust signals without losing focus.

I contributed to the customer support experience around a central idea: compliance should not feel like software that hands over a checklist and disappears. The platform and the team needed to operate as one service.

Touchpoints helped orient customers, resolve questions and maintain momentum. Clear states, next steps and support channels were especially important because each customer arrived with a different stack, audit date and level of maturity.

I built Comp AI's public Trust Center: an experience where customers, procurement teams and security leaders can verify the company's compliance status before moving forward with a commercial relationship.

The implementation brings together active frameworks, policies, monitored controls, subprocessors, documents and access to security questionnaires. The engineering challenge was turning sensitive, changing information into a clear, navigable and verifiable surface connected to the organization's real status.

I created assets to communicate the product across campaigns, launches and commercial conversations. Each piece translated technical capabilities —agents, automated evidence, continuous monitoring and expert support— into benefits founders and security teams could understand.

Rather than producing isolated pieces, I built a reusable language for composition, product imagery, data and social proof. This helped preserve consistency while the company's message and scale evolved quickly.

As a Design Engineer, I closed the distance between the design file and the published experience. I built responsive interfaces, refined interactions and resolved the details that appear only with real content and components.

Working directly in implementation also shortened growth cycles: a hypothesis could become a functional experience, be reviewed with the team and evolve without a long chain of handoffs.

My contribution was building experiences for growth and customer support, along with marketing assets and one of the brand's most important trust surfaces: the Trust Center. Code, rather than a design handoff, was the primary deliverable.

The company continued to grow after this stage. Public messaging moved from more than 600 to more than 1,000 companies and from more than 270 to more than 580 integrations; Comp AI also progressed from a $2.6 million pre-seed round to a $34 million Series A. These figures describe the company's trajectory and are not presented as outcomes attributable solely to my work.