YC-backed Prized Launches AI Platform for Secure Internal Tool Creation

Prized, a Y Combinator S26 startup, has launched an AI-driven platform that allows non-engineering employees to build secure internal tools. The system enables operational, support, and finance teams to generate full-stack applications wired to company data without writing code.

Founded by Marinos Eliades and Hudson Griffith, the platform allows users to describe a required tool in plain language. Prized then automatically generates the application and deploys it behind the organization's existing sign-in system. To facilitate data integration, the platform provides admin-approved connectors for a wide array of services, including Snowflake, Salesforce, Stripe, MongoDB, Postgres, Slack, Notion, HubSpot, Trello, Zapier, Figma, Intercom, Dropbox, Google Calendar, Google Sheets, Microsoft Teams, and Asana. Users can utilize Prized's native app builder or integrate their own external coding agents to develop these tools.

Solving the AI Security Gap

Many non-technical teams have already begun using AI agents to automate workflows. However, these tools are often used without proper permissions, security scoping, or audit trails, which introduces significant risk to enterprise data. Prized addresses this gap by providing a governed environment where AI-generated tools are deployed safely. The platform ensures that company data is pre-connected and scoped specifically to what the user is authorized to see, fixing the infrastructure rather than attempting to police user behavior.

Reducing Engineering Bottlenecks

By democratizing the creation of internal tools, Prized reduces the reliance of operational teams on engineering departments, which often act as a bottleneck for internal requests. This shift allows companies to maintain strict compliance and security standards while enabling the people who actually use the workflows to iterate on them rapidly.

Security is managed through scoped access, where every tool runs with its own specific role and grant list. Furthermore, the platform maintains a comprehensive audit log that records who executed a tool, which data was touched, and when the action occurred. This level of oversight transforms AI-assisted development from a shadow-IT risk into a sanctioned corporate asset.

The Path Forward

As enterprises continue to integrate generative AI into their daily operations, the focus is shifting from simple prompt-based interactions to the deployment of functional, data-connected applications. Prized is positioning itself as the security layer for this transition. The company will likely expand its library of admin-approved connectors as more legacy enterprise systems seek AI-native interfaces that do not bypass corporate security protocols, ensuring that the speed of AI development does not come at the cost of data integrity.