Custodian Labs

The fastest way to deploy AI agents with privacy built in.

The Challenge

Building and deploying production-grade AI agents typically requires significant infrastructure overhead. Developers normally need to provision vector databases, set up hosting environments, and write complex routing and memory logic before writing a single line of agent logic custodianlabs.io.

Furthermore, data privacy is a major barrier for enterprise AI adoption. While traditional privacy solutions simply strip out Personally Identifiable Information (PII), this approach often destroys the context needed by the AI, significantly reducing the accuracy and performance of the models.

The Solution

Custodian Labs provides a streamlined developer tool that simplifies the infrastructure needed to deploy AI applications, taking users from an idea to a deployed AI agent in just five lines of code. It abstracts the entire stack, requiring no database provisioning or hosting management custodianlabs.io.

At the core of the platform is the proprietary Guardian Layer, a private data obfuscation algorithm that puts users in complete control of their data. Instead of simply stripping data, the Guardian Layer intelligently detects PII and can replace it with synthetic equivalents that preserve meaning. This ensures zero data leakage while maintaining the AI model's performance. The platform is also model-agnostic, allowing users to switch seamlessly between providers like OpenAI and Anthropic, and features out-of-the-box long-term memory and multi-agent capabilities.

Our Contribution

Custodian Labs is built on production reliability grounded in deep academic research. To date, Custodian Labs have received pre-seed funding from KiwiNet and angel funding and are currently seeking SME partners to trial and pilot their secure AI-agent workflows.