Question 1

What does DAIMLAS do?

Accepted Answer

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.

Question 2

What is DAIMLAS?

Accepted Answer

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.

Question 3

Why DAIMLAS?

Accepted Answer

We chose the name DAIMLAS so that we are reminded everyday that our goal is to democratize AI by delivering AI, ML at scale.

Question 4

How is DAIMLAS different from BCG GAMMA, Deloitte Omnia, or McKinsey Quantum Black?

Accepted Answer

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.

Question 5

How can I join a vetted AI team if I don’t have experience?

Accepted Answer

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. We especially encourage affiliates of Vector Institute Canada, MILA Montreal, AMII Alberta, and others part of the Canadian National AI strategy to apply.

Question 6

How can I submit my AI project?

Accepted Answer

First book a 20 minute zoom session our calendly link, and second fill out our AI projects form.

Question 7

Do you offer a money back guarantee?

Accepted Answer

Yes we 100% money back guarantee as long as all communication are kept on the DAIMLAS platform and on the bydaimlas.com email.

Question 8

Why are you measuring intercultural intelligence?

Accepted Answer

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.

Question 9

What infrastructure do your teams have access to?

Accepted Answer

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, Development environment, Communications, Project & data management, Legal, HR, Delivery, Payment and Computational Resources

Question 10

Why can’t I just hire a data scientist on Indeed, Glassdoor, Hired or Zip Recruiter?

Accepted Answer

Hiring managers don’t know how to hire AI talent.  No matter where you are in the world, you are competing against the forces of Silicon Valley for talent.  DAIMLAS is 100% stress free, no interviews, 100% satisfaction guaranteed.

Hire Vetted AI Teams in

Computer Vision

Awards & Recognition

Hire Vetted Artificial Intelligence Teams

Via Email

Via Portal

Via Slack

Instant access to

vetted AI talent

How it Works

For AI Pros, AI Students, AI Institutions, Tech-Obsessed Companies, & AI Enthusiasts

1

Request Live Demo

Tell us your AI goals, & aspirations. We are open to all.

2

Access Managed Marketplace

Build corporate or AI team profile.

3

Collaborate & Deliver Projects

Track team progress, process payment, manage data, computational resources, messaging, communication, & contracts, all taken care of.

Search, Join, or Start a Vetted AI Team

In the fields below and more.

REINFORCEMENT LEARNING

AI IN HEALTHCARE

COMPUTER VISION

DEEP LEARNING

AI IN FINANCE

RECOMMENDER SYSTEMS

DATA SCIENCE

MACHINE LEARNING

ROBOTICS

NATURAL LANGUAGE PROCESSING

AI IN RETAIL

AI IN MARKETING

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