Sanwi provides a knowledge and security layer purpose-built for the agentic era, enabling AI agents to operate with trusted, governed access to enterprise data. The platform addresses the growing need for secure context and control as autonomous systems become more prevalent. It focuses on ensuring that AI-driven workflows are both protected and reliable.
Funding
Funding not disclosed
Founders
Product
Problem
As AI agents become more autonomous and integrated into business operations, they require access to vast amounts of internal knowledge and data. However, existing security and knowledge management systems are not designed to handle the dynamic, high-speed, and context-aware needs of these agentic systems. This creates a critical gap where agents may access sensitive information without proper governance, or fail to retrieve the right knowledge, leading to security vulnerabilities and operational inefficiencies.
Solution
Sanwi provides a comprehensive knowledge and security layer specifically engineered for the agentic era. The platform centralizes and structures an organization's knowledge base, making it accessible to AI agents through secure, policy-controlled APIs. It embeds security protocols directly into the data flow, ensuring that every agent interaction is authenticated, authorized, and audited. By providing a unified layer of context and control, Sanwi enables enterprises to deploy AI agents with confidence, knowing that their data is protected and their operations are compliant.
Target Audience
Sanwi targets enterprises and development teams that are deploying AI agents for internal automation, customer-facing services, and complex data analysis, particularly those in regulated industries requiring strict data governance.
Features
- Centralized knowledge graph that unifies disparate data sources for consistent agent access
- Policy-based access control engine that dynamically manages permissions for AI agents
- Real-time audit logging and monitoring of all agent actions for security and compliance
- API-first architecture designed for seamless integration with existing AI orchestration tools
- Context-aware data retrieval that provides agents with the most relevant information at the point of action