Launch HN: Prized (YC S26) – Let non-engineer staff build secure internal tools
prized.dev
July 30, 2026
2 min read
🔥🔥🔥🔥🔥
45/100
Summary
AI tools can be built internally for operations, support, and finance teams with scoped and audited access behind company sign-in. Admins approve each data connector, ensuring security and allowing teams to create customized tools such as customer lookups by name, email, or order number.
Key Takeaways
- Prized allows teams to build internal tools using AI, with each tool scoped and audited for security.
- Admins approve data connectors, ensuring tools only access pre-approved company data.
- Each AI tool operates with specific role-based permissions, preventing blanket database access.
- An audit log tracks all tool access, recording who accessed what data and when.
Community Sentiment
Positives
- Congratulations with your launch! I suspect the product market fit for tools like these will be huge, especially for SMBs lacking the budget for complex solutions.
- Awesome launch and good pricing. We built a similar version in our org that met a real need and worked fabulously.
- I like the security-first posture. The audit control and permissions management around connectors is great!
Concerns
- Any call the agent makes to an external connector is reviewed by an LLM judge — but how reliable is that? It shows a lack of understanding of basic security posture.
- We assume LLMs can always be fooled, so the judge is just one step of the verification process, highlighting potential weaknesses in security.