Cegid

Framework to develop a new breed of multi-tenant, collaborative Web applications. And explore the data with AI to build new services.

Founded 2012
16-50 employees
  • Banking, Corporate Finance, & Investing
  • Headquarters address
    1-3 Charlotte St, Fitzrovia, London W1T 1RD
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    Yupana

    Yupana Ltd was founded in San Francisco in 2012 to develop a Framework, based on HTML5, Sencha ExtJS, Node.js, C++ (addon Node.js), Docker, SQL and mongoDB technologies. This unique Web framework enables multi-tenant, collaborative Web applications.

    Today, Yupana is a R&D team of CEGID, the largest company in France for accounting software. So we are organized as a start-up, while having access to the projects of a large company. Software built with our Framework is now used by more than 5 000 accountants full-time and 100 000 companies. And new exciting projects are starting !

    Find here an example of an application built with our Framework.

    Framework : always use the latest technologies

    Yupana Framework ensures the development of applications follows best practice by separating the generic technical layer from the business logic. We keep track of latest technologies to always improve the user experience and update the business applications without having to re-write the business layer.

    Our goal is to widely open our Framework as a service to developers allowing them to build applications. And publish them through a marketplace to our large customer community.

    Join us to accelerate the development of the Yupana Framework and offer new exciting tools to developers worldwide.

    AI : transform accounting workflows

    We research, prototype, and deploy a range of machine learning tools designed to automate accounting workflows.

    Tasks include image recognition, natural language processing (NLP), document classification, and many other techniques. Favouring open source approaches, we use a mix of off-the-shelf, customised, and original solutions, depending on the problem.

    We have access to genuine "big" datasets being used for essential commercial applications. We provide a fast infrastructure for exploratory analysis and testing, and a platform-agnostic approach to developing solutions.

    The Data Science / Data Engineering roles are ideal for problem solvers who enjoy working on the entire life cycle of a ML project - from data acquisition, through exploratory analysis, to prototyping, and finally deployment.

    Tech stack

    Javascript, Node.js, AngularJS, React, MongoDB, SQL Server, Machine Learning, Micro-services, C++ (addon Node.js), Python, Pandas, NumPy, scikit-learn, OpenCV

    Benefits

    Compensation and retirement

    Performance bonus
    Pension plan

    Vacation and time off

    Paid holidays
    Flexible working hours
    Work from home flexibility

    Personal development

    Conferences reimbursement
    Hackathons

    Values and quality of life

    Accessible via public transportation