Computer Vision Solutions

Give your systems
the power of sight

We build production-grade computer vision systems — from object detection and segmentation to 3D reconstruction and video analytics. Deployed on cloud, edge, and embedded hardware.

50ms inference
99%+ accuracy
Edge & cloud
250+ models live
camera-feed-01.live
LIVE
Person 98.2%Object 96.7%Defect 99.1%REC ●4K · 60fpsINFERENCE: 23ms3 objects · Batch: 16 · GPU: RTX 4090CONF ≥ 0.85
250+
CV models in production
50ms
Avg. inference latency
99%+
Accuracy on benchmarks
40+
CV engineers & researchers
6
Industries served
100%
On-premise deployable

Capabilities

Every dimension of computer vision, covered

From a single camera to a distributed edge network — we have the model architecture and engineering depth to match.

Object Detection

Real-Time Object Detection & Tracking

Sub-50ms inference on custom-trained YOLO, RT-DETR, and Transformer-based detectors. We handle multi-class, multi-instance detection at scale — from warehouse cameras to drone feeds.

YOLOv9RT-DETRDETRDINO
mAP score96.2%
Segmentation

Pixel-Perfect Semantic & Instance Segmentation

Panoptic and instance segmentation pipelines for medical imaging, satellite analysis, and industrial quality control. Fine-tuned Segment Anything Model (SAM) + custom architectures.

SAM 2Mask2FormerSegFormerYOLOv8-seg
IoU score94.8%
Classification

High-Accuracy Visual Classification

Product defect classification, medical image diagnosis, and content moderation systems achieving 99%+ accuracy through transfer learning on ViT, ConvNeXt, and EfficientNet variants.

ViTConvNeXtEfficientNetCLIP
Top-1 accuracy99.1%
OCR & Document AI

Intelligent OCR & Document Parsing

Extract structured data from invoices, forms, contracts, and IDs in any language. Our document AI pipelines handle skewed, low-res, and handwritten inputs with high precision.

TrOCRPaddleOCRLayoutLMv3Tesseract
Field accuracy97.3%
Video Analytics

Real-Time Video & Stream Analytics

Action recognition, crowd counting, anomaly detection, and person re-identification across multi-camera feeds. Deployed on edge hardware and cloud GPUs with streaming inference.

SlowFastVideoMAEByteTrackDeepSORT
Inference speed30 FPS
3D Vision

3D Reconstruction & Depth Estimation

Point cloud processing, depth estimation from monocular cameras, and 3D scene reconstruction for robotics, automotive ADAS, and spatial computing applications.

DPTZoeDepthPointNet++Open3D
Depth accuracy±1.2cm
segmentation-output.png
Class AClass BClass CIoU: 94.8 · mAP@50: 97.1 · Masks: 3 · Time: 18ms

Spotlight Feature

Pixel-level understanding
of any visual scene

Our segmentation models don't just draw boxes — they trace exact contours around every object, pixel by pixel. Whether it's separating tissue types in a medical scan or isolating products on a shelf, we achieve clinical-grade precision.

Semantic segmentationEvery pixel classified by category
Instance segmentationIndividual object masks, even when overlapping
Panoptic segmentationFull scene understanding — 'stuff' + 'things'
Video segmentationTemporally consistent masks at real-time speeds
Discuss your use case

Industries

Computer vision that knows your domain

We embed domain experts in every engagement — a radiologist-trained model thinks differently from a defect detection model.

Manufacturing99.4% defects caught

Defect detection & QC automation

Healthcare92% diagnostic accuracy

Medical image analysis & diagnosis

AutomotiveAEB precision: 99.9%

ADAS, LiDAR fusion & lane detection

Retail40% shrinkage reduction

Cashierless checkout & shelf analytics

Agriculture28% yield improvement

Crop health & yield prediction from UAV

Security<0.01% false positives

Perimeter monitoring & threat detection

Vision Tech Stack

PyTorch// Framework
OpenCV// Vision
ONNX// Deployment
TensorRT// Inference
Roboflow// Data
Label Studio// Annotation
Triton// Serving
CUDA// GPU
Jetson// Edge
Hugging Face// Models
MMDetection// Detection
Detectron2// Segmentation
PyTorch// Framework
OpenCV// Vision
ONNX// Deployment
TensorRT// Inference
Roboflow// Data
Label Studio// Annotation
Triton// Serving
CUDA// GPU
Jetson// Edge
Hugging Face// Models
MMDetection// Detection
Detectron2// Segmentation
PyTorch// Framework
OpenCV// Vision
ONNX// Deployment
TensorRT// Inference
Roboflow// Data
Label Studio// Annotation
Triton// Serving
CUDA// GPU
Jetson// Edge
Hugging Face// Models
MMDetection// Detection
Detectron2// Segmentation
target: your_vision_problem · confidence: 100%

Show us the problem.
We'll build the system.

Share your camera feed, your dataset, or just a description of what you want your system to see. We'll design an architecture, validate it on your data, and deploy it — fast.