Time to do Artificial Intelligence the right way
For organizations, running an Omdena AI project is a unique opportunity to build innovative, ethical, and efficient solutions in only eight weeks. We achieve this by combining our unique processes, best-in-class tools, and talented AI collaborators.
1. Bottom-up Collaborative Processes
A Collaboration of Global Talent
Your solution will be built by a cross-functional team of 40 to 50 collaborators combining a mix of skills and perspectives. Per project up to 25 countries are represented. In average, arround 40 percent of collaborators are women.
Combining Knowledge, with Intrinsic and Extrinsic motivations
We are able to build human-centered ethical and inclusive AI through diverse teams who are intrinsically motivated to solve a particular problem. Our approach is to build AI with the people who will also use the solution.
Agile development with networks of teams
Omdena projects are powered through bottom-up collaboration characterized by open dialogue, where diverse ideas are shared freely to find the best solution to a problem. Our test-and-learn mentality incorporates feedback early on and speeds up agile development to deliver results where they are most needed.
2. Best-in-class data science tools, libraries, and practices
We use best-in-class data science tools, infrastructure, libraries, and all the knowledge we have gained working with over 60 projects in our projects. We also build our in-house libraries and tools to facilitate collaboration and faster model development.
Labelbox recently raised $25M in Series B.
Y Combinator-backed startup Activeloop is developing a fast and simple framework for building and scaling data pipelines for machine learning.
Omdena and Spell have been collaborating on various projects, e.g. combatting sexual harassment or analyzing the effects of COVID 19 lockdowns on vulnerable populations. Spell provides a powerful MLOps platform.
3. And Top Collaborators from various backgrounds
Data Scientist at Microsoft
Colton Magnant, Ph.D.
Professor and Lead Data Scientist at UPS
Ph.D. Student Machine Learning, AI Education Lead at Zaka
Operations Analyst at Google
Data Scientist at BASF
CS Masters Cambridge, Senior ML Engineer at Aigorithm LLC
Data Scientist at Enexis Groep
Rosana de Oliveira Gomes
Postdoc Physics, Frankfurt Institute for Advanced Studies
Let´s collaborate to solve your problems
After submitting a project, we will get back to you within 48 hours to discuss
the feasibility, pricing, and scope of the project.
Connect with us in our live chat below.