PLATAFORMAGOVERNANÇAENTRARAGENDAR DEMO

Sovereign AI for organizations

Deep Agents connects AI agents to your organization's documents and systems, with an auditable record of every execution and control over data and costs.

SIGN INSCHEDULE DEMO
GovernanceTraceabilitySovereignty

You decide where data lives

Deploy on-premises, in a VPC, or in the cloud your organization already uses. Access follows the permissions and policies your team defines.

On-premisesYour own hardware, air-gapped if needed
Private cloud (VPC)Isolated perimeter in the contracted cloud
Your cloudAWS, Azure, GCP, or a national provider

Auditability for every execution

Corporate logs record user activity. Deep Agents records each execution: the sources consulted, the model used, the cost, and the generated result. The trail in this section is an illustrative example, with fictitious records that do not represent customers.

Audit trailIllustrative example
TimeExecutionUserModelCost
09:41Query to the procurement databaseControllershipGPT-5R$ 0,31
09:38Summary of case 0482/2026Legal DepartmentClaudeR$ 0,12
09:32Classification of 214 documentsGeneral SecretariatLocal · GemmaR$ 0,00
09:27Draft technical opinionLegal DepartmentClaudeR$ 0,09
09:20Contract data extractionProcurementGeminiR$ 0,05
Export record (CSV)Fictitious records. They do not represent customers.

Three barriers block AI adoption in organizations

Sensitive data

Documents, cases, and personal information cannot move across tools without control, contracts, and clear safeguards.

Low governance

Installing a local model does not answer who used AI, which sources were consulted, or how each response was produced.

Unpredictable cost

Token-based billing makes budgeting, commitment, and control by department, user, or agent harder.

A sovereign layer for execution and governance

The platform sits between your data and AI models and records everything that happens along the way.

Integration
Agents connected to the organization's documents, databases, and internal systems.
Routing
Access, cost, and sensitivity policies decide whether each task runs on a local, private, or approved model.
Record
Every execution stores the source consulted, the user, the model, the cost, and the result.

Your data, in your territory

Agents work directly on the organization's databases, documents, and internal systems. Nothing is copied into third-party tools.

Sensitivity analysis decides what can be processed outside the national infrastructure. Everything else stays in your environment, with the source of each response recorded.

Automatic routing across the leading models

Sensitivity policies decide what runs on a local model and what can go to an approved provider. Data that must remain in national territory is processed in your infrastructure.

GPT-5
Claude
Gemini
Llama
Qwen
DeepSeek
NVIDIA
Local models

How to buy

Initial implementation

Integration with systems, access setup, first agents, and team training. A fixed-scope project.

Recurring subscription

Platform, support, and updates with contracted capacity. Predictable monthly cost, with no token-based billing.

Schedule a demonstration

The future of AI in organizations will be governable, traceable, and sovereign.

TALK ON WHATSAPP