br3in.com

What It Is

BR3IN.Dental is a private AI knowledge assistant for dentists. Its core is not a proprietary foundation model; instead, it builds a local semantic index from dentists’ clinical notes, cases, treatment protocols, and curated literature, then makes that knowledge available to any LLM such as ChatGPT, Claude, Gemini, Llama 3, or Mistral. It also supports pure semantic search without connecting to AI, functioning like a “local Google” for a dentist’s personal knowledge base.

Core Capabilities and Privacy

The product’s most notable design principle is local-first: original files remain on the device, patient identifiers are blocked before upload, and local data is said to be encrypted with AES-256-GCM. For clinically sensitive scenarios, it recommends running Llama or Mistral locally via Ollama, so patient-identifiable data does not leave the Mac. Its network layer also offers mechanisms such as P2P nodes, private/shared/public collections, Ed25519 identity, and encrypted transmission; the Enterprise version further adds homomorphic encryption, self-hosted Relay, audit logs, and more.

Integrations and Usage Modes

BR3IN offers three modes: local semantic search only; connecting to existing cloud models such as ChatGPT, Claude, and Gemini; or running AI fully locally via Ollama. Its documentation also shows support for REST API, MCP Server, and OpenAI-Compatible API, along with plugins or connectors for Obsidian, VS Code, Chrome, Notion, Logseq, and others. Integration capabilities appear more complete on the Team plan and above.

Pricing and Trial

The free plan includes 1GB storage, 20 queries per day, 5 peer connections, and 1 public collection. Pro is $29.99/month, Team is $39.99/month, and Enterprise is $399.99/month or custom-priced. The product is currently in private beta / v0.4.0-alpha, with an initial rollout planned for English-speaking countries in Q3 2026. Early founding members receive a 50% lifetime discount.

Pros, Cons, and Who It’s For

Its strengths are a clear focus on dental use cases, a well-defined privacy architecture, the ability to connect to any model, support for local offline clinical use, and professional registration verification to reduce noise in the peer network. Limitations include its early-stage status, with stability and real-world effectiveness still to be proven; cloud LLM mode still sends text chunks to third parties; the source code is not open source; and there is no visible explanation of a Chinese interface, Chinese dental corpora, or compliance adaptation for China. It is better suited to individual dentists, dental teams, and teaching/research staff in English-speaking environments.

Access from China and Alternatives

The crawled content does not provide information on access from China, payment options, or Chinese-language support, so availability in mainland China is unknown; the only payment integration seen is Stripe. For deployment in China, users may need to consider network connectivity, overseas payments, medical data compliance, and local model deployment. Alternatives include Ollama + local RAG, Obsidian/Notion knowledge bases, ChatGPT/Claude/Gemini, or private knowledge-base systems designed for medical scenarios.