See what your cameras see, act on it automatically - from document scanning to real-time video analytics on the edge or in the cloud.
Trusted by companies that ship production software on deadline
















We scope each engagement precisely so you get senior-level work on the capabilities that matter.
Real-time detection and tracking of people, products, and assets - with bounding boxes, counts, and alerts wired to your systems.
Extract text, tables, and structured fields from invoices, forms, and scans - even when layouts vary or quality is poor.
Process live or recorded feeds for motion, occupancy, and event detection - with timestamps and clips your team can act on.
Automated defect detection on production lines - catching scratches, misalignments, and anomalies faster than manual review.
Identity verification and access control with liveness checks - built with privacy and compliance requirements in mind.
Sort, tag, and route images by category - for content moderation, inventory, or routing documents to the right workflow.
We label data, train models, and deploy inference pipelines that run reliably in your environment - edge, cloud, or hybrid.
We review your image and video sources, define accuracy targets, and choose the right architecture - custom, pre-trained, or hybrid.
Labeling, model training, and API integration ship incrementally - each sprint ends with measurable accuracy on your real data.
We deploy to your infrastructure, add drift monitoring, and document retraining workflows so models stay accurate over time.

Renting is local, so search had to understand a place and a date range as one question rather than two filters. Mirimera built the marketplace and the software our suppliers run on, and because it is one system underneath, nothing has ever had to be kept in sync.
- Pablo
CEO, Big RentalsBattle-tested frameworks for training, inference, and cloud vision APIs - matched to your latency, accuracy, and budget requirements.
Industry-standard library for image preprocessing, feature extraction, and real-time video pipeline operations.
End-to-end ML platform for training custom vision models and deploying them at scale on servers or edge devices.
Flexible deep learning framework favored for research-grade models and rapid experimentation on vision tasks.
Real-time object detection architecture optimized for speed - ideal for live video and edge deployment scenarios.
Open-source OCR engine for extracting text from scanned documents, photos, and low-quality image inputs.
Managed cloud vision API for face analysis, label detection, and content moderation without managing models yourself.
Book a free 30-minute call. We'll review your image and video sources, estimate accuracy targets, and outline a deployment plan.