Secure and private LLM deployment platform

Prediction Guard builds security-hardened, fully private AI systems designed for organizations that cannot risk exposing proprietary data to external cloud models. Instead of sending prompts or sensitive information to public APIs, Prediction Guard provides self-hosted and air-gapped deployments that keep all AI activity behind a company’s own firewall — an approach increasingly essential for regulated industries, critical infrastructure operators, and firms managing confidential intellectual property.

The platform supports a flexible range of deployment architectures, from on-premises clusters and single-tenant environments to private cloud and hybrid setups. All configurations are built with strict adherence to NIST and OWASP guidelines for AI Security, incorporating continuous monitoring, isolation boundaries, and comprehensive auditing to keep implementations aligned with emerging regulatory standards.

The company raised $3.7 million in May 2025 in a seed round led by Sovereign’s Capital with participation from Blu Ventures, Noblis Ventures, K Street Capital, WaterStone Impact Fund, Ringbolt, BHB Fund, M25, Launch Factory, Service Provider Capital, Flywheel Fund, Overlook VC, and strategic angels.