Superior ALgorithmic
thinking
Speed to market depends on the right people.
We have small, highly curated teams of innovators you won't find anywhere else.
In a world that is ever-changing, speed and execution is everything.
So how do you meet the demands of the market, revolutionize your process, yet always execute with agility and efficiency?
To accelerate their software innovation, bleeding-edge companies come to Vaital. Our algorithmically focused engineering teams are second to none. We go far beyond the brief to not just deliver a product, but create strategic competitive advantage.
An Oasis of Brilliance
We solve problems others can't
We innovate in ways others don't
We've tapped into an undiscovered source of multi-million dollar talent
Exponential Demand,
Tiny Supply
2,300,000
Demand
LinkedIn: 36,524 AI specialists (self-reported) worldwide
Gartner: 2.3m new AI jobs forecasted
10,000
Supply
Global AI Software Engineers
“Women make up 50% of the planet – and must have a lead role in developing technology. This is particularly crucial when it comes to Machine Learning. At Vaital, we’ve built a culture in which women thrive, which is why 1/3 of our talent base is female.”
- David Yunger, Founder & CEO
Superior algorithmic
thinking.
Speed to market depends on the right people.
We have agile, highly curated teams of innovators you won't find anywhere else.
Amidst a global pandemic, digital transformation is everything.
So how do you meet the demands of a changing market and get access to top-tier developers who always execute with efficiency?
To accelerate their software innovation, bleeding-edge companies come to Vaital. Our algorithmically focused engineering teams are second to none. We go far beyond the brief to not just deliver a product, but create strategic competitive advantage.
An Oasis of Brilliance
We solve problems others can't
We innovate in ways others don't
We've tapped into an undiscovered source of multi-million dollar talent
Exponential Demand,
Tiny Supply
Annual compensation of senior software engineers at large corporations is approaching $1 Million.
What’s driving this trend? And how can you compete?
Fewer than 50,000 people on the planet can confidently write a Machine Learning model.
According to Gartner, current AI demand is 2.3 million jobs – a 50x capacity gap. And it’s expanding exponentially: Microsoft projects 20 million net new AI and data analytics roles by 2025.
Inclusive Teams Build Inclusive Solutions.
“Women make up 50% of the planet – and must have a lead role in developing technology. This is particularly crucial when it comes to Machine Learning. For us, it’s equal parts culture and strategy.
Globally, women represent just 20% of the tech workforce. At Vaital, because of the unique way we source and develop our talent, we consistently and measurably have 50% greater gender diversity than other AI firms.”
- David Yunger, Founder & CEO
