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Data Science for Digital Startups

Credible Informatics

Develop solid ML/AI capabilities in your growth-stage organization

#1

Data Strategy

At Credible Informatics, our goal is to make data science the most confident investment an early-stage company could make.

This can happen only when your DS roadmap is in line with your product roadmap. What is your most difficult problem – Intelligent customer communications? More dynamic pricing? or simply understanding how users are using your product?  

#2

Custom Development

We believe that fundamentals of data science cut across business functions and data sources. 

We develop powerful, actionable, cross-functional KPIs and ML models for our clients. We bring together all kinds of siloed data  – marketing data, mobile backend data, data from a BI tool or user-level data from your CRM – as long as it helps build repeatable value.

#3

Many startup teams struggle to prioritize data over more urgent tasks – building product, acquiring users, raising money. 

That’s not only because it requires specialized data skills, but also because the results are  hard to put to use in a cross-functional environment. QueryBank makes it super easy to infuse cross-functional business context into your data workflow. 

See how

 

N'Keal Harry Jersey