Who Needs The Service

A startup that wants to develop an AI prototype for its project to raise funds or secure partnerships

Investors who want to do AI due diligence on startups before investing


A company that wants to work on an AI project to measure interest before launching a large-scale project or hiring a costly in house team.

Multi sectors. Several activities already addressed: Finance - Healthcare, IOT ...


No need to manage expensive internal resources or complicated recruitment processes

Use data scientists as a service. No need to pay if you no longer need them

Teams of data scientists already recruited by Lozard following a rigorous process and based in North America


Data scientists capable of developing an AI prototype in less than 2 months

These projects are R&D projects which are often eligible for tax credit or government funding. Our partners can manage this process for you



Tell us about your project. We will get back to you within 24 hours

You can also click below to discover in a few seconds our advantages and to tell us about your needs 

Business cases



A company that manufactures smart watches that are capable of alerting the emergency services in the event of falls and loss of balance in elderly people and which has already sold several of its products

The AI project of this company consisted in building a model capable of predicting and anticipating, thanks to their collected data, fall situations before they occur. This new project has enabled the company to sell new services and to increase the loyalty of their existing customer bases.



A company in the skin problem detection sector called on the services of Lozard Ai to accelerate the development and improvement of their existing model to detect skin problems (eczema, cancer, etc.).  Thanks to a photo taken by your smartphone, their technology can detect these different problems

This completed project allowed the startup to raise funds from investors to continue its development. Thanks to the unique experience and skills of our data scientist, this project was completed in record time. Only one month