Operational Memory for brownfield factories

The semantic integration layer that maintains itself.

FuMind is building a self-maintaining semantic integration layer for brownfield factories. We connect data across existing production systems and, more importantly, keep those relationships correct as systems change—creating an AI-ready Operational Memory.

Driving the future of manufacturing intelligence.

Introducing Fusion

Fusion is FuMind's on-premise data intelligence layer for manufacturing.

01

Connect and canonicalize

Fusion connects to your ERP, MES, SCADA/PLC, quality systems, PDF documents, spreadsheets, and other factory data sources to understand how your production data relates and transform it into a unified, canonical operational model.

02

Stay correct as the factory changes

Fusion continuously monitors these connections as your factory changes. When schemas, tags, signals, or data sources change, its AI agents identify the affected relationships and help repair the underlying pipelines—keeping your operational data reliable and AI-ready.

03

Build the Operational Memory

This continuously maintained data foundation becomes your factory's Operational Memory: a real-time representation of machines, production orders, process conditions, quality events, and operational context.

ERPMESSCADA / PLCQuality systemsPDF documentsSpreadsheetsHistorians

Introducing Orbit

Orbit Vision Intelligence

Get vision based defect inspection for your manufacturing product, with integrated camera module and postprocessing. We serve our own in-house pre-trained models for manufacturing use-cases. From one-shot to a max of 20 images to kick start your vision inspection within days.

Live inspection
INSPECTING

Orbit workspace

Train, deploy, and review inspections in one place.

FuMind Orbit results workspace showing an image-segmentation defect inspection model, its score, prediction API, and completed predictions

About FuMind

Founded on deep production-engineering research and hands-on industrial AI.

Founder

Akshay Paranjape

Ph.D., RWTH Aachen

Doctorate
Machine Tool Laboratory (WZL) of RWTH Aachen University — the largest institute for production research in Europe.
Master's
M.Sc. in Simulation Sciences, RWTH Aachen University.
Undergraduate
Alumnus of IIT Delhi, one of India's leading technical universities.

Before founding FuMind, Akshay led AI-based, end-to-end transformation programs in manufacturing at Zeiss and IconPro (now part of Hexagon), working directly with industrial production teams.

Predictive quality

Defect and quality forecasting across complex production lines.

Process optimization

Data-driven tuning of process parameters for yield and stability.

Predictive maintenance

Asset health modeling to reduce unplanned downtime.

This combination of production-engineering research and applied industrial AI drives FuMind's mission: a self-maintaining semantic integration layer that turns brownfield factory data into reliable, AI-ready Operational Memory.

Manufacturing AI agents

Agents that build the model, and agents that reason on it.

Canonical data agents

Manufacturing-specific agents interpret tags, schemas, and documents to form the canonical model—mapping signals to machines, orders, and process steps, resolving naming drift, and proposing repairs when a source changes.

  • Semantic mapping of tags, schemas and documents
  • Relationship discovery across ERP, MES and shop-floor signals
  • Change detection and guided pipeline repair

Insight agents

On top of the Operational Memory, FuMind deploys manufacturing-specific AI agents that support shop-floor teams with operational insights, root-cause analysis, quality investigations, and decision support.

  • Operational insights in production context
  • Root-cause analysis across machines and orders
  • Quality investigations and decision support

On-premise AI appliance

A dedicated hardware device that runs manufacturing-specific LLMs inside your factory.

Fusion's Operational Memory only stays sovereign if the models that reason over it stay sovereign too. FuMind ships a compact on-premise compute appliance that hosts manufacturing-tuned large language models directly inside your environment—so the agents that generate operational insights, root-cause analysis, and decision support run on your hardware, against your live production data, with nothing leaving the plant.

It connects to the continuously maintained Operational Memory as its native context layer, turning real-time machines, production orders, process conditions, and quality events into grounded, explainable manufacturing intelligence.

On-premise LLM inference

Manufacturing-tuned large language models run locally on the device—no production data leaves the factory floor.

Built for the Operational Memory

Directly queries the live Operational Memory so agents reason over current machines, orders, and process context.

Air-gapped by design

Operates entirely inside your network. Optional outbound updates only, controlled by your IT and security policies.

Edge-grade reliability

Industrial form factor engineered for shop-floor conditions and continuous operation alongside production lines.

Industrial sovereignty

Designed for industrial sovereignty.

Fusion runs inside your environment, so sensitive production data and process know-how do not need to leave the factory. Local models or customer-controlled enterprise AI infrastructure can be used depending on deployment requirements.

On-premise by default

Deployed inside your network, alongside the systems it integrates.

Your models, your control

Local models or customer-controlled enterprise AI infrastructure.

Research-led

Ongoing work on semantic mapping, schema drift and agentic pipeline repair for brownfield plants.

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