Sansa offers an AI observability platform that adds guardrails, policy control, and debugging tools to every large‑language‑model call. Through the Sansa AI Gateway and MCP, developers can integrate monitoring, evaluation, and IDE plugins for over 200 LLMs, enabling faster, safer deployment of AI applications. The service provides a unified API and built‑in agent tools to streamline model management and compliance across development workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Developers building applications with large language models often lack visibility into model behavior, making it difficult to detect errors, enforce usage policies, and debug issues in real time. This opacity can lead to unexpected outputs, compliance risks, and slower development cycles.
Solution
Sansa offers an observability platform that monitors every LLM request, providing real‑time guardrails, policy enforcement, and debugging tools directly within developers' existing IDEs. By exposing a unified API that supports over 200 language models, Sansa enables teams to add comprehensive monitoring and control without changing their codebase. The platform includes the Sansa MCP for managing coding agents and an eval debugging suite that surfaces model performance metrics and failure cases instantly. Policy control features let organizations define and enforce usage rules across all model calls, while detailed logs and analytics help pinpoint issues and accelerate iteration. Integration is achieved through simple API configuration, allowing developers to start monitoring AI calls within minutes.
Target Audience
Primary customers are software development teams and AI engineers building applications that rely on large language models, as well as enterprises that need to enforce compliance and monitor AI usage at scale.
Features
- Unified API gateway supporting 200+ LLM providers for consistent request handling
- Real‑time guardrails that block or flag disallowed content based on customizable policies
- Eval debugging tools that capture and visualize model outputs, latency, and error patterns
- Sansa MCP (Model Control Plane) for managing and versioning coding agents in production
- IDE plugins that surface observability data and policy alerts directly in the developer workflow
- Centralized logging and analytics dashboard for aggregated insights across all model calls