BEARTELL BearHive is an enterprise-grade, on-premises (Air-Gapped) AI and Large Language Model (LLM) governance platform that completely eliminates data leakage and protects proprietary enterprise intelligence. BearHive allows organizations to adopt generative AI within their private networks, ensuring compliance with strict regulatory frameworks such as KVKK, GDPR, and the EU AI Act without reliance on external cloud services.
• LiteLLM Unified Gateway: Connects and orchestrates 100+ local, open-source, and fine-tuned LLMs behind a standardized OpenAI-compatible API, allowing instant switching between models without code refactoring.
• Dual-Gate Security (Guardrails): Inspects both inbound prompts and outbound completions to enforce PII masking, prevent jailbreaks, block intellectual property leaks, and eliminate hallucinations before reaching users.
• Immutable Cryptographic Audit Trail: Logs every enterprise prompt, token usage, and response with cryptographic timestamps, producing automated audit reports for regulatory compliance.
• Zot OCI Private Model Catalog: Securely packages, cryptographically signs, and distributes model weights and RAG vector embeddings as OCI artifacts across sovereign local environments.
• Zero Token & Per-Seat Dependency: Operates on dedicated on-premises infrastructure with no recurring user licenses or third-party token meters, offering predictable computing costs and departmental budget brakes.
• 48-Hour Live On-Premises PoC: B.E.A.R.TELL engineering team deploys a fully air-gapped, live proof-of-concept on client servers in under 48 hours without external internet connectivity.
1. Sovereign Enterprise Document Intelligence (RAG): Semantically search, summarize, and cross-reference confidential engineering drawings, operating manuals, and corporate contracts without exposing data to public clouds.
2. Intelligent Operational Field Advisor: Enables operators and engineers to query complex equipment blueprints in natural language, receiving instant step-by-step troubleshooting procedures.
3. AI Governance & Risk Management: Enforces granular department quotas, token rate-limiting, and compliance oversight to ensure responsible and cost-effective AI deployment across the organization.