Does your organization have a policy on what data can be sent to a cloud AI, and does anyone check that it is followed? For Madrid companies with compliance, audit and data protection requirements, we deploy sovereign AI with Tiiny AI Pocket, which runs models of up to 120B parameters locally. We develop the custom solution, document it and integrate it with your governance processes.
Sovereign On-Premise AI with Tiiny AI for Large Companies in Madrid
Large organizations in Madrid want to benefit from generative AI, but their legal and security departments block any use that involves sending data to third parties. Tiiny AI Pocket lets you run open source models inside your own infrastructure, with no cloud and no per-token fees. At MiTSoftware we design the deployment with access control, activity logging and formal documentation, so compliance and audit teams can approve it.
Analysis of regulatory documentation without data leaving the institution.
Review of policies and claims files with confidential information kept local.
Document research and drafting with all client data kept protected.
Technical assistants for critical operations with no external dependency.
Using AI in environments where data cannot leave the organization.
Handling internal queries with personal data kept under control.
We plan the deployment around the requirements your security, legal and data protection teams will review. Data is processed locally, permissions are assigned by role and every query is logged. We deliver documentation of the architecture, the data processing and the controls in place, ready to be included in your risk assessments and your internal approval processes.
AI only adds value when it works with the real information of the organization. We connect the model running on Tiiny AI Pocket to your document management system, your ERP or your intranet through its API, respecting the permissions that already exist in each system. That way each employee only queries what they are allowed to see, and the solution adapts to your company structure.
We identify where AI adds value and which controls each case needs before deploying it.
Questions about internal regulations, procedures and documentation, answered with the source cited.
We connect the model to your repositories while respecting existing permissions.
Every query is logged for internal audits, security reviews and compliance checks.
Architecture, data processing and controls documented for your approval committees.
Sessions tailored to legal, finance, operations or human resources teams in your company.
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