private-aiPrivate AI — run LLMs, image generation, speech-to-text, and embeddings on your own hardware. Private AI keeps all data on your network. No cloud APIs, no te...
Install via ClawdBot CLI:
clawdbot install twinsgeeks/private-aiGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/geeks-accelerator/ollama-herdAudited Apr 18, 2026 · audit v1.0
Generated May 13, 2026
Law firms can use Private AI to review contracts, legal briefs, and discovery documents without sending sensitive client data to external cloud APIs. The system runs entirely on-premise, ensuring attorney-client privilege and compliance with data protection regulations.
Healthcare providers can transcribe patient consultations, medical dictation, and clinical notes using Private AI's speech-to-text and LLM capabilities. All protected health information (PHI) remains on local servers, satisfying HIPAA requirements for data privacy and security.
Defense agencies can deploy Private AI in fully disconnected environments by pre-downloading models via USB and running inference without any network connectivity. This enables secure analysis of classified intelligence reports, surveillance transcripts, and operational data.
Banks and investment firms can analyze proprietary financial reports, trading strategies, and customer portfolios using Private AI without exposing data to third-party AI providers. The system ensures data sovereignty and compliance with GDPR and local data residency laws.
Enterprises can build a private RAG system by embedding proprietary documents (e.g., HR policies, technical manuals) using Private AI and querying them with an on-premise LLM. This prevents confidential company information from being processed by external embedding APIs.
Offer a monthly subscription to small and medium businesses that provides a pre-configured Private AI server with essential models (LLM, image, STT). The service includes remote monitoring and model updates, with all data remaining on the customer's hardware.
Provide consulting services to healthcare, legal, and financial institutions to deploy Private AI in their air-gapped environments. This includes network design, model selection, compliance validation (HIPAA, GDPR), and training for IT staff.
Embed Private AI into existing enterprise SaaS platforms (e.g., CRM, document management) as a premium add-on that ensures data never leaves the customer's network. Charge per active node or per inference when running on customer hardware.
💬 Integration Tip
Start by running the fleet manager on a single machine to test API endpoints, then expand to multiple nodes using the auto-discovery feature. Pre-download models on a connected machine if deploying in an air-gapped environment.
Scored Jun 20, 2026
Assesses AI system risk polarity based on Annex III of the EU AI Act, identifying high-risk categories like biometrics and employment.
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