Built for Regulated AI, Engineered for Trusted Access

While others started as search tools and added security later, Proxima was architected from day one with governance, compliance, and fine-grained control, powering enterprise-wide productivity

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Purpose-Built for Governance and Control

Governance-First Architecture

Powered by Proxima’s TwinGuard™ framework, the platform is architected for policy-enforced access, auditability, and deep data governance, establishing trust before any retrieval or productivity layers were even introduced.

Data Exposure Protection

While other tools rely on inherited app-level permissions, Proxima enforces access rules directly at the data layer to prevent leakage and minimize exposure.

Insider Threat Detection

Proxima continuously monitors user behavior and query patterns to detect and block unauthorized access attempts in real time.

Cost Efficiency

With support for open-source LLMs, modular pipelines, and flexible deployments, Proxima helps reduce operational costs without sacrificing control.

MCP-Native Architecture

Proxima’s unified MCP framework makes it easy to connect internal and external agents, copilots, and automation platforms like LangGraph, allowing real-time, secure, and policy-aware data access.

Built for Regulated Environments

Proxima supports frameworks like FFIEC, GLBA, and HIPAA out of the box, making it ideal for sectors that demand auditability, explainability, and fine-grained access control.