Private AI
Open-source AI models running on your own infrastructure or in a private national cloud. Documents, prompts and answers never leave your environment — designed for LGPD and professional secrecy.
The problem
Hospitals, law firms and public agencies want to use generative AI, but cannot send medical records, legal filings or citizen data to foreign cloud APIs. Brazil's LGPD classifies health data as sensitive, the national data protection authority (ANPD) already issues sanctions, and medical and attorney-client secrecy demand strict control over who processes that content. The result is a deadlock: either AI stays out, or it gets used without control, with staff pasting confidential data into public tools.
How we approach it
We deploy open-source LLMs (families such as Llama, Mistral, Qwen and Gemma) on the client's servers or in a private national cloud of their choice, and connect the model to the organization's document base through RAG (retrieval-augmented generation): the assistant answers citing the internal documents it drew from. Role-based access control, corporate directory integration, an audit log of every query and no data sent to third parties. It is the same security and traceability engineering we have applied to blockchain systems for 10+ years — including the option to anchor log hashes on a blockchain as proof of integrity.
Who it is for
Hospitals and clinics
Clinical protocol lookup, medical record summaries and support for care documentation, with health data processed inside your own environment.
Law firms
Search across your own library of filings, contracts and opinions, plus drafting support, preserving attorney-client privilege.
Public attorneys and agencies
Search across administrative proceedings, regulations and legal opinions, with citizen data kept in the agency's custody and a full audit trail.
Financial institutions
Analysis of contracts, policies and internal regulations, with data under banking secrecy kept inside the institution's environment.
How it works
Assessment
We map use cases, document bases, LGPD and security requirements and the available infrastructure. Deliverables: architecture, hardware (GPU) sizing and a deployment plan.
Deployment
We install the model and the RAG layer in the client's environment, integrate with data sources and access control, and validate answer quality with the user team before go-live.
Operations and support
Monitoring, model and knowledge-base updates, access management, audit reports and ongoing support under a monthly support contract.
Ready to ship your AI or blockchain project?
Tell us what you want to build. A Devel architect will come back to you with a technical diagnostic.