Future Proof Industrial Operations

Turn Industrial Data into Clean
AI-Ready Intelligence

Fuuz DataOps connects, transforms, and governs data at rest and in motion from every OT and IT source—then exposes perfectly structured, trusted flows directly to LLMs and AI agents via the Model Context Protocol (MCP). All inside a manufacturing platform built on an architecture optimized for seamless AI interaction.

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AI-Ready

Why Fuuz DataOps Is Built Different

Most industrial data platforms were designed before the AI era. They bolt on connectivity and hope the data is good enough.

Fuuz was architected with modern AI requirements in mind: every layer is governed, contextualized, and instantly consumable by LLMs and autonomous agents. The result? Data that doesn’t just move—it’s trusted, structured, and ready to power AI on day one.

A worker in a hard hat and safety gear uses a laptop with data charts in an industrial control room with digital screens and machinery in the background.

What You Can Do

Core Capabilities

Capability

Data Flow Designer

Hybrid Transformation

Schema Designer

MCP Integration

MCP Integration

API Framework

Event-Driven Architecture

Edge Connectivity

Cloud-Native Security

Description

No-code visual builder with templates, scheduling, and full version history.

Transform data at rest (historians, databases) and in motion (real-time streams) in one engine.

Define business-aligned data models that abstract raw protocols into meaningful context.

Native Model Context Protocol driver exposes any flow directly to LLMs and autonomous agents.

Native Model Context Protocol driver exposes any flow directly to LLMs and autonomous agents.

Instantly generate secure GraphQL/REST APIs from any schema or flow.

Node.js + RabbitMQ for sub-millisecond streaming and triggers.

Fuuz Gateway captures and preprocesses high-volume data at the source.

End-to-end encryption, RBAC, audit trails, multi-tenant isolation.

Why it Matters for AI & Operations

Deploy new integrations and transformations in hours instead of months.

One platform handles every industrial use case while keeping data AI-ready.

Raw tags become structured objects that AI agents understand instantly.

Zero-plumbing connection from shop floor to AI—no ETL layers, no duplication, no latency.

Zero-plumbing connection from shop floor to AI—no ETL layers, no duplication, no latency.

Standards-based access for developers and third-party systems.

Real-time reactivity for both humans and AI agents.

Cleaner data, lower bandwidth, higher reliability—even in remote plants.

Trust and compliance when sharing data with internal teams or external AI tools.

What You Can Expect

One unified platform that eliminates silos and makes AI adoption dramatically faster and cleaner.

01

True Unified Data Fabric

Real-time single source of truth across OT (machines, IoT, SCADA) and IT (ERP, MES, cloud).

02

Hybrid Transformation Engine

Cleanse, enrich, and contextualize data at rest and in motion from any enterprise source.

03

MCP-Native AI Exposure

MCP-Native AI Exposure — Governed data flows are instantly queryable by LLMs and AI agents via the Model Context Protocol—no custom middleware required.

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04

Built-In Governance & Scalability

Version control, real-time validation, anomaly detection, and enterprise-grade security from the ground up.

The Process

How DataOps Works with Fuuz

Ready to See Fuuz in Action?

Curious how Fuuz could work for your team? Let’s talk real solutions. Whether you’re ready for a demo or just want to bounce some ideas around, we’re here to help.

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