Automate visual quality inspections, document extraction, facial recognition, and object tracking with high-precision vision models engineered for real-time edge and cloud deployment.
Deploy state-of-the-art vision models and document parsers tailored to inspect physical environments, verify identities, and convert unstructured images into actionable data.
Extract nested tables, key-value pairs, and messy handwriting from invoices, bills of lading, and passports with 99.8% field accuracy.
Real-time multi-object detection and trajectory tracking using customized YOLO, RT-DETR, and DeepSORT for security and warehouse logistics.
High-speed surface defect detection on manufacturing lines, localizing micro-scratches, cracks, and assembly misalignments at 60+ FPS.
Pixel-level semantic and instance boundary segmentation leveraging SAM (Segment Anything) and Mask R-CNN for medical and industrial imagery.
Anti-spoofing liveness verification, facial biometrics, and identity matching engineered for compliant digital onboarding and access control.
Optimize deep learning vision pipelines with TensorRT and OpenVINO for deployment directly on NVIDIA Jetson, drones, and edge cameras.
Replace slow manual visual inspections and tedious document entry with sub-second automated machine vision.
Convert messy invoices, bills, and handwritten KYC forms into clean database records with 99.8% precision.
Analyze high-resolution video streams and industrial assembly lines at 60+ FPS without human eye fatigue.
Execute inference locally on device cameras without depending on constant internet connectivity or cloud bandwidth.
Slash quality control overheads and manual processing teams while maintaining continuous 24/7 auditability.
Unlock structured visual intelligence from real-world video streams and documents.
Lightweight INT8/FP16 quantized architectures engineered to run smoothly on edge hardware, Jetson, and embedded gateways.
Multimodal document transformers (LayoutLMv3, Donut) that parse distorted grids, watermarks, and rotated scans seamlessly.
Overcome limited dataset constraints with realistic synthetic image generation, domain randomization, and high-speed labeling.
Eliminate human oversight fatigue on factory lines with automated cameras that continuously detect microscopic defects.
Reduce user friction by auto-extracting identity cards, passports, and driver's licenses in under two seconds during KYC.
Store photographic proof, bounding box coordinate tags, and confidence scores for every single inspected item or document.
From frame acquisition and polygon annotation to TensorRT quantization and RTSP pipeline integration, we engineer end-to-end vision systems.
Collect diverse real-world sample sets across variable lighting, camera angles, resolutions, and document skew states.
Rigorous bounding box, polygon segmentation, OCR key-value mapping, and synthetic augmentation pipelines.
Train customized architectures (YOLO, SAM, TrOCR, ViT) on multi-GPU setups optimized for high mAP and F1-scores.
Compile model weights via TensorRT, OpenVINO, or ONNX Runtime with INT8 quantization for sub-millisecond edge latency.
Connect pipelines directly to live RTSP camera feeds, webhooks, cloud object stores, or on-prem databases.
Continuous monitoring loops to detect camera lens glare, environmental lighting shifts, and evolving document templates.
PromptApps provides flexible engagement structures tailored to your machine vision roadmap.
Directly onboard specialized OpenCV, PyTorch, and TensorRT engineers into your computer vision squad.
A full dedicated squad of CV researchers, data annotation leads, and MLOps architects building systems end-to-end.
Structured milestones, predetermined mAP deliverables, and budget guarantees for custom OCR or vision models.
Python
OpenCV
PyTorch
YOLOv11
TensorRT
OpenVINO
AWS Rekognition
FastAPI
Redis Cache
PostgreSQL
LayoutLM
ONNX Runtime
High-speed surface defect detection on microchip assembly lines reducing component scrap rates by 38%.
Read Full Case Study →Automated passport and utility bill extraction pipeline processing 1.2M KYC documents monthly at 99.8% precision.
Read Full Case Study →Autonomous retail shelf inspection system tracking out-of-stock SKUs and planogram compliance across 400+ stores.
Read Full Case Study →Everything you need to know about custom computer vision, intelligent OCR, and edge deployment.
Tell us about your visual data, documents, camera streams, or inspection criteria.
