STING Use Cases
Who Uses STING?
STING works for anyone who wants AI that doesn’t send their data to the cloud. Here’s how different people and teams are using it.
Personal Use (Nectar)
Personal Knowledge Base
Stop losing information in scattered notes and bookmarks. Put everything in Honey Jars and let Bee AI find it when you need it.
What people store:
- Research notes and papers
- Project documentation
- Reference materials
- Personal journals and logs
Example:
A developer stores all their technical notes, code snippets, and documentation in a Honey Jar. When they need to remember how they solved a problem six months ago, they ask Bee AI instead of searching through files.
Writing and Research
Writers and researchers use STING to organize source materials and get help with their work without sending sensitive research to cloud AI.
Use cases:
- Academic research organization
- Source material analysis
- Draft feedback and editing
- Citation management
Learning and Study
Students and self-learners create Honey Jars from course materials, then use Bee AI as a study companion that knows their specific curriculum.
Use cases:
- Course note organization
- Exam preparation
- Concept explanation
- Practice questions
Team Use (STING Server)
Team Documentation
Development teams use STING to make their internal docs actually useful. Instead of outdated wikis nobody reads, teams get AI-searchable knowledge.
What teams store:
- Runbooks and procedures
- Architecture documentation
- Onboarding materials
- Meeting notes and decisions
Example:
A new engineer asks "how do I deploy to production?" and gets the actual answer from your team's documentation, not generic advice from the internet.
Customer Support
Support teams create Honey Jars from past tickets, product docs, and FAQs. When new issues come in, Bee AI helps find solutions faster.
Benefits:
- Faster ticket resolution
- Consistent answers
- Institutional knowledge preserved
- New team members get up to speed faster
Legal and Compliance
Legal teams store contracts and policies in Honey Jars. Search for clauses, find precedents, and draft documents without exposing sensitive content to cloud AI.
Use cases:
- Contract search and analysis
- Policy lookup
- Compliance checking
- Document drafting assistance
Example:
Sales asks for an NDA template. Legal's Honey Jar finds the right one in seconds, without anyone seeing the raw contract files.
Privacy-Sensitive Use Cases
Healthcare and Medical
Medical professionals and researchers use STING for patient data analysis and clinical decision support—without sending protected health information to the cloud.
Why STING:
- Data never leaves your infrastructure
- PII scrambling protects patient information
- Works completely offline if needed
- You control the audit trail
Financial Services
Financial analysts use STING for market analysis and risk modeling without exposing proprietary strategies or client data.
Why STING:
- Algorithms stay private
- No cloud latency for real-time analysis
- Complete data sovereignty
- Audit-ready logging
Government and Defense
Organizations with strict data requirements use STING in air-gapped environments for classified or sensitive work.
Why STING:
- Air-gap deployment support
- Zero external dependencies after install
- Full offline capability
- No telemetry or phone-home
Your Use Case
STING is flexible. If you have documents and want to search them with AI without sending them to the cloud, STING probably works for you.
Common Thread
Everyone using STING has one thing in common: they want AI that respects their privacy. Whether it's personal notes or classified documents, the data stays local.