2brains.net

What It Is

2Brains positions itself as “Verified AI” for enterprises. Its core proposition is not to build yet another general-purpose chatbot, but to reduce—or even avoid—fabricated facts through its architecture, within the boundaries of an enterprise “verified knowledge base.” If a question falls outside that knowledge base, the system will say so explicitly. The official website also emphasizes that its verification architecture has been submitted to the USPTO as a patent application.

Core Capabilities and Models

Its architecture is divided into three channels: the syntactic language model SOLM, a deterministic retrieval layer called Sniper Scope, and an output verification filter. SOLM is responsible only for generating linguistic structure and does not carry factual memory; facts come from retrieval against the enterprise corpus; finally, an encrypted verification layer checks the answer before output and provides provenance and an audit trail. This design is well targeted at enterprise knowledge-base Q&A, compliance audits, traceable customer support, or sales knowledge assistants. The website also cites a 2.9% fabrication rate on HERB, compared with a Salesforce baseline of 32.2%, and claims CPU inference at around 6W, lower than 300W+ GPU-based solutions.

Pricing and Integration

The official website does not disclose subscription pricing, trial quotas, or purchase options. It only states that users can contact [email protected] for licensing, partnerships, and technical discussions, while detailed technical documentation requires an NDA. API, SDK, deployment options, and integration methods with enterprise document systems or CRMs are not disclosed, so implementation costs and delivery timelines still require commercial and technical due diligence.

Pros, Cons, and Limitations

The main strength is its clear approach: separating generation from factual retrieval, then adding verification and audit layers, which makes it suitable for enterprise scenarios with very low tolerance for “hallucinations.” Potential drawbacks include limited public information, and the lack of real customer cases, demos, Chinese-language capability details, compliance certifications, and data processing documentation. Its claim of “no hallucinations” is also limited to the verified corpus; if the knowledge base is incomplete or retrieval does not find a match, the system can only refuse to answer or indicate that the question is out of scope.

Who It’s For and Access From China

It is better suited to teams in finance, legal, manufacturing, healthcare, and internal enterprise knowledge management that prioritize factual accuracy and auditability. It is not ideal for individuals or small teams that simply want to quickly procure a general AI assistant. The official website does not specify access from China, network connectivity, or payment methods, so these need to be tested in practice. If access is limited, teams may consider domestic enterprise knowledge-base/RAG platforms or self-hosted alternatives such as Dify or Coze enterprise knowledge bases.