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Masche

Masche provides a governed AI control plane that mediates between enterprise systems and large language models, enforcing role‑based access, execution tracing, and observability. The platform routes AI requests, plans actions, and executes them against CRM, ERP, databases, and custom tools while caching results and supporting multiple model providers, enabling secure, auditable AI‑driven workflows.

Founded 2026250+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises struggle to safely integrate AI models with critical systems such as CRM, ERP, databases, and internal tools, facing risks around unauthorized access, lack of auditability, and difficulty tracking AI-driven actions.

Solution

Masche offers a governed AI control plane that sits between enterprise systems and AI models, providing role‑based access controls, execution tracing, and observability. The platform routes AI requests, plans actions, and executes them against connected back‑ends while enforcing permissions and caching results for efficiency. By exposing a structured interaction layer (Ask, Analyze, Act, Stream), Masche enables AI to move from insight generation to automated execution without exposing raw APIs. The solution supports major model providers (OpenAI, Claude, Gemini) and integrates with common enterprise data sources, delivering a secure, auditable workflow for AI‑driven business processes.

Target Audience

Primary customers are CIOs, IT operations teams, and data engineering groups in mid‑size to large enterprises that need to operationalize AI while maintaining strict governance over critical business systems.

Features

  • Role‑based governance that restricts AI actions to authorized users and environments (dev, stage, prod)
  • End‑to‑end execution tracing and observability for audit trails of AI‑initiated operations
  • Unified routing, planning, and execution engine that coordinates AI calls across CRM, ERP, databases, and custom tools
  • Permission management and caching layer to ensure secure, performant interactions with back‑end systems
  • Support for multiple large language model providers (OpenAI, Claude, Gemini) within a single control plane
  • Structured AI interaction primitives (Ask, Analyze, Act, Stream) to standardize insight‑to‑action workflows
This profile is AI-generated and may contain inaccuracies.