About You

You're here because AI is creating opportunities and threats which will fundamentally change your business.

You need to become an AI company … and yet you’re hesitant to take the first step.

1

Because you don't have a plan.

2

Because your leadership and colleagues don't share your vision.

3

Because you're concerned about data.

4

Because you don't know if you have the right team.

Doing nothing isn’t an option. You know that companies—and careers—are made in moments like these by those who take smart bets on big changes. You’re here because you want to be the leader who drives the change instead of the one who reacts to it.

But can we help you? Maybe. Let’s start by dispelling a few AI myths.

5 myths you’ve heard about becoming an AI company

Your biggest AI challenge is execution

Your biggest AI challenge isn't any one thing—it's everything.

Good execution requires acting on the thousands of little details which pop up in complex engineering projects. Sometimes it is just good ol’ fashioned hard work, collaboration, and determination. Details like:

  • Building your prototype models
  • Interpreting the results against your business needs
  • Putting together a presentation for your CEO
  • Getting your data pipeline built
  • Creating your feature store policies
  • Setting a deployment cycle between data science and data engineering

How about bad execution?

Bad execution results from ignoring the details and investing time in the wrong activities:

So… Why should you hire us?

1

We are operators

2

We will navigate your non-technical challenges

3

We have decades of AI experience

4

We share the risk with you

So… Why should you not hire us?

1

Don’t hire us if you want a big team

2

Don’t hire us if you want to bet on a big, proprietary platform

3

Don’t hire us if time doesn’t matter

4

one more tbd