chillsharp

Permission-first data infrastructure

Make your data useful
without giving it away.

chillsharp organizes data into governed domains so the right people, applications, and AI can use it safely—without broad credentials, duplicate exports, or accidental exposure.

Choose your approach See the three use cases

The operating rule

Store data consistently.

Share it deliberately.

One place

Keep one dependable version of your data, with its meaning and access rules applied at the source.

With Access Control

When a colleague, product, or AI tool needs it, chillsharp exposes the precise slice they need—and no more. No shadow copies. No shared master keys. No silent overreach.

Built for the work that matters

Ready to serve your interests

.edu

For researchers

Turn research into shared knowledge—on your terms.

Ingest from Python, organize a discoverable data domain, then let a colleague, a study dashboard, or an AI assistant use only the approved slice.

  • Keep preliminary and sensitive data controlled
  • Replace one-off exports with a governed dataset
  • Give AI useful context, not your whole database
“Give AI and apps access to research data without giving them access to everything.”
.org

For organizations

Build the service. Keep the mission data in the right hands.

Use an approachable API to build useful pages and internal tools. Let public services, staff, partners, and AI each receive only the information their work requires.

  • Publish approved service information with confidence
  • Keep case and participant records private
  • Make reporting and collaboration less manual
“Build more for the mission, without turning every dataset into a public resource.”
.com

For companies

Your data is part of your advantage. Treat it that way.

Open source means you can inspect, adapt, and run your data infrastructure privately. chillsharp helps teams make data available to products and AI without handing every consumer the keys.

  • Keep your data private and under your control
  • Govern access across applications and AI
  • Build on open-source foundations, without any vendor lock-in
“Make data reusable across the company—without making it broadly accessible.”

The next useful thing

Start with one dataset.
One useful outcome.
One clear boundary.

Choose your approach