Computer Vision without learning Python. Without Cloud. On Windows.

MOND is a no-code platform for building and deploying computer vision systems fully offline.

Offline No-code Windows Industrial-ready

Product Overview

Data Labeling

Model Training

Inference

Analytics

Problem

  • Requires ML engineers (Python, PyTorch, TensorFlow)
  • Needs DevOps infrastructure and GPUs
  • Complex integration with PLC / SCADA systems
  • Cloud solutions are often not acceptable

→ Deployment takes months and is expensive

Solution

  • No Python required
  • No ML team needed
  • Fully offline (on-premise)
  • No complex infrastructure

→ Any engineer can build and deploy CV systems

Product

Build

  • Data labeling (GUI)
  • Dataset preparation
  • One-click training

Run

  • Inference on Windows
  • Video & real-time streams

Integrate

  • Events & triggers
  • SQL / Excel export
  • PLC / SCADA (ModBus)

Use Case

Shops and cafes – accessibility and ease of use for small businesses.

Agriculture, warehouses

Manufacturing: real-time quality control

  • Defect detection on production lines
  • Video stream analysis

→ Reduced defects and operational costs

MOND tool structure:

The system consists of 4 modules: Data Labeling; Model Training; Inference; Analytics.

Market

$22B → $50B by 2030 (CAGR ~21%)

Driven by automation, security, and industrial demand

Competition

MOND Cloud Tools Open Source
Offline ✅ ❌ ⚠️
No-code ✅ ⚠️ ❌
All-in-one ✅ ⚠️ ❌
Industrial ✅ ❌ ⚠️

Pricing

  • Starter (single workstation): $150–300 / year
  • Professional (multi-camera): $500–2,000 / year
  • Enterprise (industrial deployment): $5,000+ / year

Additional revenue from enterprise modules and integrations.

→ Scalable SaaS(Software as a Service) - like recurring revenue model

Business Model

  • On-premise licensing
  • Subscription (license key)
  • Enterprise modules
  • Partner integrations

Go-To-Market

  • Pilot deployments
  • Industrial case studies
  • System integrators
  • B2B direct sales

Contact

We're currently in the prototyping stage. Our team needs investment to quickly launch. Contact us to collaborate.

mondvision.detect@gmail.com