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Diagnosis
We clarify the goal, data, constraints, and success metric before choosing technology.
For companies working with video streams, inspection, monitoring, or products that need to understand the physical world.
Computer vision built for real images, video, and operating conditions
Vision pipelines from data collection to inference: detection, tracking, classification, and video analytics integrated into your product.
Discuss the problemWhere we help
- Object detection and tracking
- Real-time video analytics
- Classification and segmentation
- Edge inference and optimization
What your team receives
- Data and operating-condition audit
- Model and metric benchmark
- Training and inference pipeline
- API, dashboard, or edge integration
From uncertainty to a verifiable delivery
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Technical proof
We reduce risk with a measurable prototype or a product vertical slice.
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Delivery
We build, integrate, and document a solution your team can maintain.
Projects that make the service concrete
Problems, constraints, architectures, and observable results: each project shows how we turn technical capability into a usable system.
People, not a black box
Simone Zannini and Matteo Cese stay involved through analysis, development, and delivery. Roles, profiles, and CVs are public.
Questions before starting
Do you work with real-time video?
Yes. We design latency, throughput, and deployment around the available hardware and operating conditions.
Do we need an existing dataset?
Not necessarily. We can define collection, annotation, and validation strategy before training.
Bring the problem, not a perfect specification.
We reply within two working days with the first technical questions and a sensible next step.
magosimo99@gmail.com