A selection of projects we have done before.
Different methods from the field of NLP helped us to create software that spots errors in rental contracts.
Creative solutions enabled us to automate the process of planning solar systems.
Our software protects tenants against excessive service charge bills.
See how machine learning can be used to stop environmental destruction.
Our algorithm helps citizens through the bureaucracy of registering a business.
AI-supported optical defect detection for semiconductor laser production.
We automated the detection of certain cloud structures for Deutscher Wetterdienst (DWD).
Together we discuss your process automation projects along three different dimensions: cost savings, strategic value and technical feasibility. After settling for a specific project, we put special emphasis on the needs of the end users.
We are an experienced team of machine learners. Our algorithms find complicated patterns in unstructured, mostly visual and text data. Once detected, these patterns are the basis for the automation of the underlying process.
We make a point of integrating our customers in the project's code repository as well as in weekly progress meetings. Agility, clean code and a modular program structure help us to deliver easy-to-maintain software, that simply works.
Learn about the potential applications of machine learning in your field
About machine learning, its practical applications and some theoretical considerations.
Our team has a wealth of experience in the field of software development and IT project management.
July 5th 2021
dida on stage at Machine Learning Week Europe 2021
June 29th 2021
Webinar on neural language models in the enterprise on 29.06.2021
June 24th 2021
dida at GEOkomm technology brunch
May 31st 2021
dida contributes paper and long presentation to ICML
We’re hiring talented people in a variety of technical and nontechnical roles to join our team in Berlin.View jobs
Receive news about Machine Learning and news around dida.
Successfully signed up.
Valid email address required.
Email already signed up.
Something went wrong. Please try again.