FAQ

Developing an internal team is a lengthy, expensive process. Recruiting, interviewing, and onboarding team members can take months, if not years. In the meantime, competitors are already leveraging their data to drive profits and expand into new territories.

When you hire Partners in Company, you save valuable time and resources that can be better utilized to grow and develop your business elsewhere.

Partners in Company can quickly assess your needs, develop a customized data strategy, and deliver competitive insights within the quarter— not the year (… if you’re lucky).

As a subcontractor of these firms, if you worked with a larger consultant, chances are, you’d still work with us.

Instead, let’s cut out the middleman and save you 35% of the final bill.

Very. Every single member of our team has over 10 years of experience within the data science industry, so we fully understand how to maintain ISO 27001 and NIST adherence. You can rest easy knowing your company’s most sensitive data will be in good hands.

Our team is completely located in the U.S. for onshore compliance.

At Partners in Company, we believe trust is earned through results. That’s why we offer a risk-free guarantee to our first-time customers.

During the initial “discovery phase” of your project, we’ll get to know each other. We’ll explore your organization’s goals and pain points, and you’ll see firsthand how Partners in Company can help achieve your goals and overcome your company’s challenges with a paid test project.

If you are not completely satisfied with the results of this test project, we will do whatever it takes to make the project entirely satisfactory at no additional cost or your money back.

Absolutely! But first, we’ll need to discuss your company’s current position within the data life cycle. Just as you can’t bake a cake if you skip the steps of gathering, mixing, and baking the ingredients (well, a good cake anyway), you can’t make an effective machine learning algorithm if you skip the steps of data collection, cleaning, and housing.

Drop us a line, and we can discuss your company’s current stage in the data lifecycle and develop a strategy plan to ensure your data is machine-learning-ready.