Local AI assistants for companies
We bring artificial intelligence inside the company infrastructure, connecting it to internal data to support search, analysis and operational activities without depending on the cloud.
How we work
A direct approach close to the client: we analyze needs, data and infrastructure, then configure an AI system that can really be used.
01
Data map
We identify documents, archives, databases, management systems and internal information that the model can consult.
02
Choice of environment
We evaluate servers, workstations, local models, interfaces and configurations based on performance, budget and confidentiality.
03
Operational rules
We define access, roles, permissions and usage methods to integrate AI into business flows in a controlled way.
Local AI installation
We install local AI models on company servers or dedicated workstations, configuring environment, access, integrations and data so the company can use AI without depending on external cloud providers.
Local AI to work on company data
We install local AI models connected to company data, so the team can query documents, procedures and internal information without sending them to external cloud providers.
We install the AI environment
We configure servers, workstations or company infrastructure to run local LLM models in a stable and controlled way.
We connect company data
We set up RAG systems to query documents, knowledge bases, procedures, archives or authorized management data.
We manage access and permissions
We define users, roles and access levels to separate departments, sensitive information and available features.
We maintain the system
We handle updates, optimization, backups, monitoring and technical interventions to keep the local AI environment operational.
Where more control over data and AI is needed
Technical assessment helps when tools, data and responsibilities need to be clarified before development.
Internal AI assistants using confidential documents.
Automation for professional practices, technical offices and administrative departments.
Solutions offering greater control over access and information.
Operational assessments to reduce data exposure and misuse.
Data under control
A local AI model works inside the company infrastructure: documents, archives and management systems can be queried without sending information to external cloud providers.
Services connected to privacy and compliance
Data protection is stronger when it is considered together with security, private AI and assistants.
Cybersecurity audit and penetration test
We check websites, applications and configurations with technical audits, controlled tests and operational reports.
Local LLMs and private AI
We bring AI assistants into the company network, with controlled access and data under control.
Chatbots and AI assistants
We build digital assistants for customers, internal teams, procedures and company information.
