# damore.ai

> Secure private AI that compliance, IT, and leadership can approve.

damore.ai provides private AI safety audits, OpenWebUI hardening, governed AI workspaces, document workflow systems, and public knowledge guide/persona-panel experiences over approved content.

## Primary Pages

- Home: https://www.damore.ai/
- Packages: https://www.damore.ai/packages
- Intake: https://www.damore.ai/intake
- Blog: https://www.damore.ai/blog
- Privacy: https://www.damore.ai/privacy
- Full agent context: https://www.damore.ai/llms-full.txt
- Agent service manifest: https://www.damore.ai/.well-known/ai-plugin.json
- Agent skills manifest: https://www.damore.ai/.well-known/agent-skills.json
- OpenAPI description: https://www.damore.ai/.well-known/openapi.yaml
- MCP endpoint: https://www.damore.ai/mcp

## Core Offers

- AI Readiness & Safety Audit: bounded review of AI usage, data leakage paths, OpenWebUI/local LLM readiness, access controls, logging, upload handling, and prompt-injection exposure.
- Private AI Starter: governed private AI workspace with selected internal documents, access controls, basic safety settings, usage controls, and handoff documentation.
- Private AI Safety Stack: OpenWebUI/local AI hardening with prompt-injection protection, file scanning, policy filters, usage controls, audit logging, and admin documentation.
- Domain Workflow Build: scoped private AI workflow for legal document review, compliance analysis, medical literature support, internal knowledge search, sales/HR training panels, or other document-heavy operations.
- Public Knowledge Guides: branded AI guides, expert panels, community assistants, or domain-specific explainers constrained to approved public content.

## Buyer Pain Points

- Sensitive files should not be sent to public AI tools.
- Employees need faster document review, summary, comparison, and call prep.
- Teams need to catch stale policy language, missing clauses, risky uploads, and unsupported claims.
- Leadership, IT, and compliance need reviewable controls before rollout.
- OpenWebUI and local LLM deployments need practical safety, logging, and operating guidance.

## Proof And Public Work

- GitHub: https://github.com/beaudamore
- OpenWebUI profile: https://openwebui.com/u/beaudamore
- Live private AI workspace example: https://chat.damore.ai
- Domain/persona workflow example: https://chat.crossandfaith.com

## Contact

- Start with the safety audit intake: https://www.damore.ai/intake

## Agent Access

- Public marketing pages are intended to be available for search and AI input/retrieval.
- Content is not licensed for model training by this signal.
- Use `llms-full.txt` for a longer structured brief before preparing a recommendation or intake summary.
- Use the published Agent Skill when helping a user decide whether to request a private AI safety audit, OpenWebUI hardening sprint, or public knowledge guide.
- MCP clients can initialize https://www.damore.ai/mcp and call the `damore_ai_intake` tool for structured intake guidance.