VisionForge Logo

Generating synthetic data and training vision models without manual labeling

Own Product

VisionForge CV is an in-house industrial computer vision platform developed by ASSIST Software, that turns 3D/CAD models into labeled synthetic datasets and trained computer vision models through a browser-based workflow, reducing the need for manual image collection, annotation, and separate ML tooling.

Industry

AI & Machine Learning
Manufacturing

Services

AI/ML & Data Engineering
Cloud & Backend Engineering
Computer Vision
Product Design
Software Development Services

Country

RomaniaRO Flag

Company size

Mid-Sized Business
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Reducing the Manual Work Behind Training Data

Building an industrial computer vision system usually means combining several separate tools for rendering, annotation, model training, and validation. One of the most time-consuming steps is the dataset itself: collecting enough real-world images and labeling them manually.

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Generating Synthetic Training Data at Scale

VisionForge CV uses existing 3D or CAD models to generate annotated synthetic datasets automatically. By varying camera position, lighting, environments, and backgrounds, the platform creates training data without the need for large manually labeled image collections.

A Unified Workflow for Industrial Computer Vision

VisionForge brings synthetic data generation, model training, inference, and evaluation into one browser-based workflow. Engineers can upload a 3D/CAD asset, configure the scene, generate labeled images, train a model, and evaluate the results within the same platform.

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Features we developed

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No-code synthetic dataset generation
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YOLOv8, YOLO11, YOLO12, YOLO26 and RF-DETR support
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3D/CAD asset upload and normalization
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Single-image inference and dataset evaluation
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Automatic annotations and segmentation outputs
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6D pose estimation
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Configurable camera, lighting, environments, and distractors
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Hardware-aware model export
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Object detection model training
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Job history, reruns and reproducible configurations

The Technology Behind VisionForge 

A modular architecture combining synthetic-data generation, GPU-backed model training, computer vision inference, and a browser-based product experience.

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Engineering Beyond Fragmented CV Toolchains

Industrial computer vision projects often rely on separate tools for synthetic data generation, annotation, model training, inference, and deployment preparation. VisionForge CV brings these stages into one connected workflow, with reproducible configurations, integrated job tracking, and hardware-aware model export built into the platform.

Built for Real Industrial Vision Challenges

VisionForge CV is designed for teams that need to validate and develop computer vision solutions without spending weeks collecting and labeling data or assembling a fragmented ML toolchain.

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Quality 
Engineers

Create labeled training data and test inspection concepts without relying on a dedicated ML team.

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ML 
Engineers

Reduce time spent on data preparation and move faster into training and iteration.

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R&D 
Teams

Evaluate new computer vision ideas before committing to a larger engineering programme.

Validated Performance

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0.995 mAP achieved in a completed reference case
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Zero manually labeled images in the validated workflow
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100% synthetic training data
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1,000+ annotated synthetic images generated in under 5 minutes

Scalable, secure and streamlined solutions for your business success

For business inquiries:

+40-230-521100

icon main logohello@assist.ro

Our address:

1 Tipografiei Street 720043, Suceava, Romania

Frequently Asked Questions

1. Can you integrate AI into an existing software product?

Absolutely. Our team can assess your current system and recommend how artificial intelligence features, such as automation, recommendation engines, or predictive analytics, can be integrated effectively. Whether it's enhancing user experience or streamlining operations, we ensure AI is added where it delivers real value without disrupting your core functionality.

2. What types of AI projects has ASSIST Software delivered?

We’ve developed AI solutions across industries, from natural language processing in customer support platforms to computer vision in manufacturing and agriculture. Our expertise spans recommendation systems, intelligent automation, predictive analytics, and custom machine learning models tailored to specific business needs.

3. What is ASSIST Software's development process?  

The Software Development Life Cycle (SDLC) we employ defines the stages for a software project. Our SDLC phases include planning, requirement gathering, product design, development, testing, deployment, and maintenance.

4. What software development methodology does ASSIST Software use?  

ASSIST Software primarily leverages Agile principles for flexibility and adaptability. This means we break down projects into smaller, manageable sprints, allowing continuous feedback and iteration throughout the development cycle. We also incorporate elements from other methodologies to increase efficiency as needed. For example, we use Scrum for project roles and collaboration, and Kanban boards to see workflow and manage tasks. As per the Waterfall approach, we emphasize precise planning and documentation during the initial stages.

5. I'm considering a custom application. Should I focus on a desktop, mobile or web app?  

We can offer software consultancy services to determine the type of software you need based on your specific requirements. Please explore what type of app development would suit your custom build product.   

  • A web application runs on a web browser and is accessible from any device with an internet connection. (e.g., online store, social media platform)   
  • Mobile app developers design applications mainly for smartphones and tablets, such as games and productivity tools. However, they can be extended to other devices, such as smartwatches.    
  • Desktop applications are installed directly on a computer (e.g., photo editing software, word processors).   
  • Enterprise software manages complex business functions within an organization (e.g., Customer Relationship Management (CRM), Enterprise Resource Planning (ERP)).

6. My software product is complex. Are you familiar with the Scaled Agile methodology?

We have been in the software engineering industry for 30 years. During this time, we have worked on bespoke software that needed creative thinking, innovation, and customized solutions. 

Scaled Agile refers to frameworks and practices that help large organizations adopt Agile methodologies. Traditional Agile is designed for small, self-organizing teams. Scaled Agile addresses the challenges of implementing Agile across multiple teams working on complex projects.  

SAFe provides a structured approach for aligning teams, coordinating work, and delivering value at scale. It focuses on collaboration, communication, and continuous delivery for optimal custom software development services. 

7. How do I choose the best collaboration model with ASSIST Software?  

We offer flexible models. Think about your project and see which model would be right for you.   

  • Dedicated Team: Ideal for complex, long-term projects requiring high continuity and collaboration.   
  • Team Augmentation: Perfect for short-term projects or existing teams needing additional expertise.   
  • Project-Based Model: Best for well-defined projects with clear deliverables and a fixed budget.   

Contact us to discuss the advantages and disadvantages of each model. 

ASSIST Software Team Members