Service
Custom Machine Learning models.
Clait designs proprietary Machine Learning models, built from scratch on a company’s own data, and runs the whole pipeline: from collecting and preparing the data to production deployment and long-term maintenance.
Published
01
When a proprietary model makes sense
When problems are complex and standard solutions are not enough, we design proprietary Machine Learning models, built to measure from a company’s raw data and in line with compliance and GDPR.
Our models are designed for real, critical scenarios, where reliability, scalability and sustainable costs are not negotiable.
02
The whole pipeline, end to end
Data
Collecting and preparing the raw data.
Architecture
Designing the model: computer vision, time series analysis or deep learning.
Training
Training, validation and performance optimisation.
Production
Deployment and integration with existing systems.
Over time
A continuous cycle of monitoring and maintenance.
03
Applications
Practical applications range from advanced optical recognition to real-time image and video analysis, and from multimodal classification to prediction on complex datasets.
FAQ
Frequently asked questions.
What data does a custom model start from?
From the company’s raw data: Clait collects and prepares it before designing the model’s architecture.
Does Clait also handle deployment?
Yes. Clait runs the whole pipeline up to production deployment and maintains the model over time through continuous monitoring and maintenance.
Which fields does Clait build models for?
Computer vision, time series analysis and deep learning: from optical recognition to real-time image and video analysis, and from multimodal classification to prediction on complex datasets.
Keep reading.
- Case study · 0199.2%accuracy on Italian platesReal-time license plate recognition with deep learningClait developed a proprietary ALPR (Automatic License Plate Recognition) pipeline that locates the plate, reads its characters and identifies its country in under 200 milliseconds on a standard CPU, with 99.2% accuracy on Italian plates.Machine Learning · Computer vision
- Service · 02AI consulting: strategy, roadmap and pilot projectsClait guides companies through AI adoption, from the first idea to production: it assesses the organisation’s AI maturity, identifies use cases with a realistic ROI, builds a technical and organisational roadmap and follows the first pilot projects through to go-live.Where AI creates value · Process analysis · Adoption roadmap
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We find a solution for everyone.
We'll find yours too.
Tell us what you'd like to improve, even if for now it's only an idea. We'll start from there and build the rest together.