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Naut Star

"Fix once, remember forever"

A secure, multi-tenant memory layer that captures knowledge, patterns, decisions, and chat context across projects. Make your LLMs context-aware and consistent across teams.

Enterprise-Grade Memory Layer

Naut Star sits between your team and your AI tools, building institutional memory that makes every interaction smarter.

Universal Connectors

Seamlessly connect to code repositories, ticket systems, chat platforms, documentation, and runbooks. Naut Star automatically ingests and organizes information from your existing tools.

Enterprise Data Controls

Advanced redaction, configurable TTLs, PII handling, and comprehensive audit logs. Maintain security and compliance while enabling AI capabilities.

Granular Access Control

Fine-grained permissions at team, project, or organization level with Role-Based Access Control (RBAC). Ensure the right people see the right information.

Quality Assurance

Continuous memory quality checks, drift monitoring, and evaluation metrics. Maintain high-quality AI responses as your knowledge base grows.

Why Teams Choose Naut Star

Transform how your organization captures and leverages knowledge

Eliminate repeated debugging and troubleshooting
Preserve institutional knowledge across team changes
Maintain consistent AI responses across projects
Reduce onboarding time for new team members
Enable AI to learn from past decisions and solutions
Create searchable organizational memory

Built for Every Team

Naut Star adapts to your organization's unique knowledge patterns

Engineering Teams

Capture debugging sessions, architectural decisions, and code patterns. New team members can instantly access tribal knowledge.

Examples:

  • Bug resolution patterns
  • Code review feedback
  • Architecture decisions
Support Organizations

Build a knowledge base of customer issues, solutions, and escalation procedures. Support agents get instant access to proven solutions.

Examples:

  • Common issue resolutions
  • Customer interaction patterns
  • Escalation procedures
Product Teams

Preserve user research, feature decisions, and product insights. AI assistants can reference past user feedback and design decisions.

Examples:

  • User feedback analysis
  • Feature requirement history
  • Design decision rationale

Ready to Build Your Organizational Memory?

Join teams that have eliminated repeated work and preserved institutional knowledge with Naut Star.