Caffeine provides an API-driven governance layer that intercepts AI model outputs in real time, applying deterministic correction rules, PII redaction, and JSON‑schema validation to ensure compliance and data integrity. The self‑hosted container integrates with any LLM via a three‑line SDK, delivering immutable audit logs and centralized policy enforcement for enterprise AI deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise AI agents frequently generate hallucinations, unintentionally expose personally identifiable information, and produce outputs that violate predefined data schemas, leading to compliance breaches and workflow failures in production environments.
Solution
Caffeine delivers an API‑driven governance layer that intercepts AI model responses in real time, applies deterministic correction rules, and enforces organization‑wide policies before the data reaches downstream systems. The platform supports any LLM—OpenAI, Anthropic, or custom models—through a lightweight three‑line integration, allowing developers to add governance without rewriting existing code. Built‑in PII detection and redaction automatically sanitizes sensitive fields, while JSON‑schema validation rewrites malformed payloads to match strict contract definitions. All actions are logged to an immutable audit trail, enabling forensic review and regulatory reporting. Because the service runs as a self‑hosted container, enterprises retain full data sovereignty and can scale the governance plane across all internal AI agents. Deterministic processing also makes AI behavior testable, so teams can embed unit tests and CI/CD checks to catch regressions before deployment.
Target Audience
The solution is aimed at enterprise engineering and compliance teams that embed AI agents in customer‑facing applications, internal automation pipelines, or data‑processing workflows and require guaranteed reliability, data protection, and auditability.
Features
- RESTful governance API that accepts raw model output and returns corrected, blocked, or passed status with detailed correction metadata.
- Real‑time PII detection and redaction engine supporting SSNs, credit cards, phone numbers, emails, and custom regex patterns.
- JSON‑schema validation and autocorrection layer that rewrites non‑conforming fields to meet strict type and format requirements.
- Deterministic output enforcement guaranteeing identical results for identical inputs, enabling reproducible audits.
- Immutable audit log with role‑based access control, exportable via FHIR‑compatible or standard JSON endpoints.
- Self‑hostable Docker container deployment for on‑prem or private‑cloud environments, ensuring zero data exfiltration.
- Multi‑language SDKs (Node.js, Python, Go) and CI/CD test harnesses for seamless integration into existing development pipelines.
- Centralized policy management console that governs all connected agents—including GitHub Copilot, Claude, and custom models—from a single UI.