Prized

ActiveAI-native

Lovable for internal tools

What it does

Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary. The people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance. Prized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. As an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns. Hudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.

Its site says now · captured 2026-08-23

Prized - Build internal tools with AI. Safely

Prized lets ops, support, and finance teams build and ship secure internal tools with AI. Company data pre-connected and scoped, an audit trail on every access, one-click deploy behind your company sign-in.

How it has moved

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