Medabsy is a cloud‑based machine‑vision platform that lets engineers virtually design and simulate inspection systems using a library of optical components. It generates photorealistic synthetic images with configurable defects and provides pixel‑perfect, pre‑labeled training datasets to accelerate Vision AI development and reduce design risk.
Funding
Funding not disclosed
Founders
Product
Problem
Designing custom machine‑vision inspection systems is time‑consuming, error‑prone, and often lacks sufficient labeled training data, especially for rare defect types that are critical for reliable AI performance.
Solution
Medabsy provides a cloud‑based platform that lets engineers virtually design and simulate machine‑vision setups using a library of optical components. The platform generates photorealistic synthetic images with configurable defects and produces pixel‑perfect, pre‑labeled training datasets for Vision AI models. By allowing rapid comparison of alternative configurations and automating data creation, Medabsy reduces development cycles, mitigates design risks, and supplies the missing training data needed to train accurate defect‑detection algorithms.
Target Audience
Primary users are system developers, application engineers, and software developers building custom visual inspection solutions, as well as component suppliers and sales engineers who need to demonstrate system capabilities.
Features
- Web editor for assembling virtual machine‑vision systems from an extensive component database
- Real‑time simulation of optical performance and generation of photorealistic images
- Configurable defect insertion to create rare‑event scenarios
- Automatic export of pixel‑accurate segmentation masks and metadata in common formats (JSON, CSV, etc.)
- Bill‑of‑materials generation for hardware procurement planning
- Service offering to deliver custom pre‑labeled datasets on demand