Deepomatic
Image recognition software
Predictive maintenance software
Quality management systems (QMS)
Deep learning software
Asset management software
Environmental, quality and safety management software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Deepomatic
Deepomatic is an image recognition and deep learning software platform used to automate visual inspection workflows from photos and videos captured in the field. It is used by operations, maintenance, and quality teams to verify installation quality, detect defects, and standardize audits across distributed assets (for example in telecom and utilities). The product combines computer vision models with workflow tooling to guide capture, run automated checks, and produce structured inspection results that can feed operational systems.
Purpose-built visual inspection workflows
The product focuses on turning field photos and videos into pass/fail checks and structured inspection outputs, which aligns well with quality and maintenance use cases. It supports guided capture and standardized inspection steps, helping reduce variability across technicians and sites. This workflow orientation can reduce the amount of custom application development needed compared with more general model-building platforms.
Deep learning for field imagery
Deepomatic is designed for real-world field conditions such as inconsistent lighting, angles, and device quality. It applies computer vision to detect components, verify presence/positioning, and identify visible defects from images. This makes it suitable for organizations that need automated verification at scale rather than ad hoc image analysis.
Operational integration orientation
The platform is commonly positioned to connect inspection results to existing operational processes (for example work orders, audits, or asset records). It produces structured outputs that can be used for reporting and downstream actions. This can help organizations operationalize computer vision beyond experimentation and into repeatable maintenance and quality programs.
Not a full QMS or EHS suite
Although it can support quality and safety-related inspections, it does not replace end-to-end QMS/EHS capabilities such as document control, CAPA, training management, supplier quality, or incident management. Organizations often still need a dedicated QMS/EHS system of record for governance and compliance workflows. Deepomatic typically acts as an inspection automation layer rather than the primary compliance platform.
Computer vision data requirements
Model performance depends on having representative image/video data and clear labeling for the target defects or installation states. New asset types, regions, or capture practices can require additional data collection and model iteration. Teams should plan for ongoing dataset management and monitoring as field conditions change.
Predictive maintenance scope is indirect
The product primarily detects visible conditions from imagery; it is less suited to predictive maintenance scenarios that rely on time-series sensor data, vibration analysis, or physics-based degradation models. Predictive outcomes may require combining visual inspection outputs with other asset telemetry and analytics tooling. Buyers expecting a full predictive maintenance platform may need additional components.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Starter | Contact sales (not publicly listed) | For organisations with low operation volume; standard AI checks; no integration required.. |
| Business | Contact sales (not publicly listed) | For moderate operation volumes (tens of thousands to hundreds of thousands); customised AI checks; simple integration into existing mobile applications.. |
| Enterprise | Contact sales (not publicly listed) | For high operation volumes (hundreds of thousands to millions); high customisability for AI, integrations and connectors; advanced enterprise functions and support.. |
Seller details
Deepomatic
Paris, France
2014
Private
https://deepomatic.com/
https://x.com/deepomatic
https://www.linkedin.com/company/deepomatic/
