Custom AI models
Clait develops tailor-made Machine Learning models from a company’s raw data, respecting compliance and GDPR.
Learn more — Custom AI modelsfig. 01 — from noise to model
Clait: Clay + AI + IT.
Tailor-made artificial intelligence
The intelligencethat takes shapefrom your own
We mould AI like clay: tailor-made solutions that fit into your processes and make them more efficient.
01 — What is Clait
Clait was born to make artificial intelligence truly useful and accessible to businesses. We don’t ask your company to learn the language of AI:
we teach AI to speak yours.
- (01)
More efficiency
We automate repetitive tasks and free up time for the work that matters.
- (02)
Faster decisions
Reliable insights, available right when you need them.
- (03)
Teams in sync
Data, tools and processes that finally talk to each other.
02 — Method
From clay
to digital.
Every project goes through three states, like matter taking shape.
Organic
We listen.
We start from your people and your real workflows. We analyse processes, data and pain points — without disrupting what already works.
Processes
We shape.
We shape custom models and agents, built on your data and your language. We only step in where it truly matters.
Digital
We integrate.
We plug our solutions into the software you already use, with stable, controllable and predictable outputs. And we guide you through the change.
03 — Services
What we do.
Four ways to bring artificial intelligence into your company. All of them made to measure.
Smart agents
Clait builds AI agents that connect a company’s tools and data to automate tasks and improve processes.
Learn more — Smart agentsfig. 02 — agents at work
AI consulting
Clait analyses a company’s processes, data and pain points to identify where AI can create value and define an adoption roadmap.
Learn more — AI consultingfig. 03 — a roadmap takes shape
AI training
Clait trains teams and professionals to use AI effectively, safely and consciously through tailored programmes.
Learn more — AI trainingfig. 04 — skills that grow
04 — Case studies
Real projects.Confidential names.
Out of respect for our clients, we don't name names. But we can show you what we built.
- Machine Learning
- Computer vision
Real-time text recognition
Clait developed a custom model from a confidential client’s raw data that recognises and transcribes text in real time.
Read the case study — Real-time text recognitionConfidential client
- Agentic systems
- LLM
- SQL
From natural language to structured data
Clait built a tailor-made agentic system that lets people query databases with complex architectures in plain language. Once the data is extracted, the model suggests a chart to represent it.
Read the case study — From natural language to structured dataConfidential client
- Agentic systems
- Lead generation
Deep data research
Brandy is an internal Clait project: agents retrieve and structure company information, supporting users through lead generation, prospecting and first contact.
Read the case study — Deep data researchInternal projectBrandy
05 — Who it's for
Companies · Startups · Professionals
Who we
work with.
We put our expertise at the service of companies, startups and professionals who want to turn data, processes and knowledge into a concrete advantage.
For those who want toautomate
We reduce manual work with AI solutions built into your processes.
For those who want tooptimise
We improve analysis and decision-making with tailor-made AI tools.
For those who want toevolve
We guide AI adoption with strategy, development and training.
06 — Values
Three principles
What we
believe in.
We build models around your processes, integrating them into the workflows and tools you already use, without disrupting what works.
We tackle specific pain points with targeted, genuinely effective solutions. We make how they work clear, so you can use them with confidence.
We shape artificial intelligence like clay around the needs of your business, crafting tools that learn your language — not the other way around.
07 — Clayers
Who are the
Clayers?
The people and partners behind Clait.
Drag a badge or tap it to flip
Giulio Desana
CEO
Giulio is an engineer specialising in AI and Data Engineering, trained at Politecnico di Torino. He leads Clait’s technology vision and develops ML models, agentic systems and scalable AI architectures.
LinkedIn — Giulio DesanaMarco Pinto
CFO
Marco is a management engineer trained at Politecnico di Torino. He leads Clait’s strategy, finance and operations, from pricing to go-to-market, with a hands-on, data-driven approach.
LinkedIn — Marco Pintoiakta
Partner · Web & Software
iakta is a Turin-based software house founded in 2003. It develops web, mobile and IoT applications and integrates business systems, helping companies streamline processes and turn ideas into products.
LinkedIn — iaktasixeleven
Partner · Brand & Communication
sixeleven is a Turin-based communication agency founded in 2009 and a Benefit Corporation. It combines strategy, branding and creativity with a focus on impact, shaping identities such as Clait’s.
LinkedIn — sixelevenFabiano Vaglio
AI Engineer
Fabiano is an AI Engineer passionate about innovation and software development. He explores new technologies and tackles complex challenges with curiosity, building reliable solutions and impactful projects.
LinkedIn — Fabiano VaglioGiorgia Malfeo
Data Scientist
Giorgia is a mathematical engineer specialising in statistics and optimisation. She combines AI and data analysis with a passion for fashion and culture, aiming to uncover patterns and anticipate trends.
LinkedIn — Giorgia Malfeo
FAQ
Frequently asked questions about Clait.
What does Clait do?
Clait develops custom AI models and intelligent agents, and offers tailored AI consulting and training for businesses.
Where is Clait based?
Clait S.r.l. is based at Via Agostino da Montefeltro 2, 10125 Turin, Italy.
Who does Clait work with?
Clait works with companies, startups and professionals that want to integrate AI into their data, processes and tools.
08 — Contact
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.