Keep me updated on news, events, and offers from DAIMLAS
Frequently Asked Questions
What does DAIMLAS do?
DAIMLAS is a B2B marketplace transforming your AI aspirations from zero to business outcomes. Companies are able to hire vetted remote artificial intelligence teams to work on their projects. AI professionals from vetted AI programs in North America form the core of our team.
What is DAIMLAS?
DAIMLAS is a acronym for Deliver Artificial Intelligence, Machine Learning at scale. DAIMLAS is the #1 winner of the Massachusetts Institute of Technology (MIT) Lebanon Challenge Hackathon in June 2020.
We chose the name DAIMLAS so that we are reminded everyday that our goal is to democratize AI by delivering AI, ML at scale.
BCG GAMMA, Deloitte Omnia, or McKinsey Quantum Black don’t work on a project for less than $50,000. They have a high barrier to get started with AI. Most early stage companies, founder, or emerging companies can’t afford them now think of them as the first choice to build their AI solutions.
How can I join a vetted AI team if I don’t have experience?
Every AI project requires contextual expertise from a subject matter expert. We encourage AI pros, AI students from vetted programs, AI enthusiasts, AI product managers, subject matter experts, business owners, AI practitioners to apply to join our platform here.
How can I submit my AI project?
Do you offer a money back guarantee?
Yes we 100% money back guarantee as long as all communication are kept on the DAIMLAS platform and on the bydaimlas.com email.
Why are you measuring intercultural intelligence?
DAIMLAS believes that intercultural intelligence is a critically important aptitude and skill. Because we form diverse AI teams from multi-cultural backgrounds and education exposure, we believe that the success of the team stems from assembling teams that have results measuring high intercultural quotient.
What infrastructure do your teams have access to?
From Day 0 we have had distributed work & distributed innovation teams that are high performing. Therefore, we equip them with the necessary platform functionalities to success, such as:
AI Team portfolios
Vetted AI Teams from Canada National AI strategy
Project & data management
DAIMLAS is different from Upwork because we are built specifically for AI, Machine Learning, and Data Science projects. You can hire an accountant for $50 on Upwork as well as a data scientist in Russia for $200. We only connect you to vetted AI teams.
You can order a $5 logo on FIVERR, but you can’t hire an AI team to take you from Zero to achieving your goals.
Toptal is for hiring software developers, product managers, and finance experts in Ukraine, Estonia, and Romania not for hiring vetted AI teams.
DAIMLAS is verticalizing Linkedin by building only vetted AI talent and removing the noise found on Linkedin. There are 4 types of Linkedin posts, insightful posts, obvious work hacks, recruiter fairytales, and “I am proud to announce” clowns. Linkedin is not for hiring vetted AI teams. Linkedin is for displaying micro-credentials in AI not for proving you can actually do AI work in a team.
Catalant focuses on marketing, operations, and digital transformation projects but does not have AI talent.
How is DAIMLAS different from Experfy?
Experfy has too much friction and high price point to where an emerging company can hire / afford them. There is no transparency on the team you are hiring. The talent on experfy are comprised of individuals not teams. AI projects require teams not individuals.
YOUTEAM is for hiring freelance software developers, IT consultants, Java Developers, and game developers in Ukraine, Romania, Poland, and Mexico, Estonia, and Romania not for hiring vetted AI teams. Youteam prices range from $6000 to $10,000 per month for a developer in Ukraine.
Turing is for hiring software engineers so you don’t have to compete with Silicon Valley. DAIMLAS is for building vetted remote AI teams.
On Kaggle you do not learn:
*you waste alot of time trying to improve the 0.0001 accuracies. In the real world, you don't do that.
*mostly you don't learn how to clean raw data. As all kaggle competitions provide clean data.
*kaggle competitions focus on a single performance metric. But in the real world, you need to focus on speed, cost, deployment, scalability etc...
*analysis skills, deployment skills, and soft skills.
DAIMLAS connects teams to real-world projects.