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Data & AI Computer Vision Solutions

See what humans miss, act on what matters

We build production-ready computer vision systems that analyze images and video in real-time — detecting objects, recognizing patterns, and extracting insights that drive smarter decisions at scale.

Precision
99%+ detection accuracy
Speed
Real-time processing
Scale
Millions of frames daily

What we build

Visual intelligence for every challenge

From detecting defects on production lines to analyzing customer behavior in retail spaces, our computer vision solutions turn visual data into competitive advantage.

Object detection

Identify, locate, and track objects in images and video streams with industry-leading accuracy using custom-trained deep learning models.

Image classification

Automatically categorize images into predefined classes — from product types to quality grades — with custom taxonomies built for your domain.

Video analytics

Process live video feeds to track movement, detect events, count objects, and trigger real-time alerts based on configurable rules.

OCR & document processing

Extract text from documents, forms, invoices, and handwritten notes with intelligent parsing that understands structure and context.

Defect detection

Automatically identify surface defects, anomalies, and quality issues in manufacturing with pixel-level precision and zero fatigue.

Face & pose analysis

Detect faces, analyze expressions, estimate poses, and understand human behavior while maintaining privacy compliance.

Use cases

Where vision AI creates the most impact

Computer vision excels where visual inspection is critical, repetitive, or beyond human capability — enabling 24/7 monitoring and instant decision-making.

ROI from visual automation

Our clients typically see 40-80% reduction in manual inspection costs while improving detection rates by 3-5x.

Manufacturing QA

Detect product defects at line speed with consistent accuracy — catching issues human inspectors would miss.

Retail analytics

Understand customer behavior, optimize store layouts, and prevent theft with privacy-preserving video intelligence.

Medical imaging

Assist radiologists with AI-powered analysis of X-rays, MRIs, and CT scans to improve diagnostic accuracy.

Safety & compliance

Monitor PPE usage, detect hazardous situations, and ensure regulatory compliance across facilities in real-time.

How we work

From pixels to production

We follow a proven methodology that balances rapid prototyping with production-grade engineering — delivering working vision systems that scale.

1

Discover

Analyze your visual data, define success metrics, and identify the right approach for your specific challenge.

2

Train

Curate training data, annotate samples, and train custom models optimized for your specific visual domain.

3

Deploy

Build production pipelines — edge or cloud — with real-time inference, monitoring, and integration with your systems.

4

Improve

Monitor performance, collect edge cases, and continuously retrain models to improve accuracy over time.

Enterprise-ready

Built for performance, not just accuracy

Our vision systems are engineered for real-world constraints — processing speed, hardware limitations, and the reliability that production environments demand.

Real-time processing
Sub-100ms inference for live video and streaming applications.
Edge deployment
Optimized models for NVIDIA Jetson, Intel NCS, and embedded GPUs.
Cloud scalability
Auto-scaling inference on AWS, Azure, or GCP with GPU acceleration.
MLOps pipeline
Automated retraining, versioning, and deployment with full observability.

Powered by state-of-the-art models

We select and fine-tune the optimal architecture for your use case — balancing accuracy, speed, and deployment constraints.

YOLOv8 Vision Transformers SAM OpenCV PyTorch TensorRT ONNX
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FAQ

Common questions

Everything you need to know about implementing computer vision in your organization.