Leading Computer Vision Development Company
SoftUs Infotech is a top-rated computer vision development company building custom CV systems for startups in manufacturing, retail, healthcare, and logistics. From object detection and defect inspection to medical imaging and video analytics. We ship computer vision products that work in real environments, not just benchmarks.
- CV Systems Shipped
- 20+
- Avg. Model Accuracy
- 99.2%
- Images/day Processed
- 50K+
- PoC Timeline
- 6 weeks
Object Detection, Image Segmentation & Visual AI at Production Scale
Why choose SoftUs Infotech
Trusted by 45+ startups across 25+ countries. Here is what sets us apart.
Object Detection & Recognition
YOLO, Detectron2, and custom architectures for detecting and classifying objects in images and video streams. Optimized for your specific domain and hardware constraints.
Visual Quality Inspection
Automated defect detection for manufacturing. Replacing manual QA with AI-powered inspection that runs 24/7, catches defects humans miss, and integrates with your production line.
Medical & Healthcare Imaging
Radiology assistance, pathology slide analysis, wound assessment, and diagnostic imaging AI. Built with healthcare data compliance and clinical validation in mind.
Video Analytics & Surveillance
Real-time video analytics for retail foot traffic, security monitoring, behavior analysis, and crowd management, processed on-device or in the cloud.
OCR & Document Intelligence
Intelligent document processing. Extract structured data from invoices, forms, IDs, and contracts with high accuracy, even from low-quality scans.
How we work
A predictable rhythm. Discovery is a real conversation, not a sales call.
01
Discovery Call
30-min session to scope your use case
02
Sprint Planning
Define milestones, team, and timeline
03
Build & Iterate
2-week sprints with live demos
04
Ship & Support
Deploy to production with monitoring
Questions buyers ask
Honest answers, kept short. If you need depth on one of these, book a call and we will go deeper than any FAQ allows.
- 01
What computer vision frameworks do you use?
We work with PyTorch, TensorFlow, OpenCV, YOLO (v8/v9), Detectron2, SAM (Segment Anything Model), and custom architectures. We select the framework based on your performance, deployment, and latency requirements.
- 02
Can you build real-time computer vision systems?
Yes. We optimize models for real-time inference using TensorRT, ONNX, quantization, and edge deployment on NVIDIA Jetson, Raspberry Pi, and similar hardware.
- 03
How much training data do I need for a computer vision project?
It depends on the complexity of the task. We can work with as few as 500 labeled images using transfer learning and data augmentation, or help you build automated data collection and labeling pipelines for larger datasets.
- 04
Can computer vision replace our manual QA process?
In most cases, yes, with better accuracy and speed. Our CV systems typically catch 98%+ of defects while reducing inspection time by 80%+ compared to manual processes.
Full-spectrum AI development. Pick a track to read how we scope, staff, and ship inside it.
Related AI topics
Browse more pages around AI delivery, industries, team augmentation, and product-focused implementation.
Ready to build with the best
Book a free 30-minute consultation. We will scope your project, give you an honest timeline, and show you exactly how we will deliver.
Start here
Bring the messy version. That is the useful conversation.
An idea, a workflow that is eating your team's week, or a model that works in a notebook and nowhere else. Any of those is enough to start.
- A first roadmap on the call
- Not a brochure. What we would build first, what we would leave out, and why.
- Architecture and cost in plain English
- Where the model sits, what it touches, what it costs to run at your volume.
- The honest version
- If your data is not ready, or the use case does not need AI, we will tell you on the call.