Why work with Gravitate
Make AI a reality with a skilled, scalable team
Every software idea has the potential to unlock the data customers will value. But not every startup has the capabilities. Gravitate fills that gap.
METHODOLOGY
Providing agile data science and AI development practices and frameworks.
PERSPECTIVE
Reaching across borders, the team designs and develops bespoke solutions with right-size capabilities.
COLLABORATION
Engaging product and development teams to drive quality implementations.
The Gravitate Difference
We love solving complex problems buried deep within the data. We find uniquely qualified data scientists and coders to accelerate your team's product development because we want to make AI a reality everywhere we can.
When you don't know exactly what you need to implement an AI product solution, it is probably best to start small. We have honed a process that enables your teams to maintain their velocity, while also building up and sharing domain knowledge.
The Gravitate Difference
We love solving complex problems buried deep within the data. We find uniquely qualified data scientists and coders to accelerate your team's product development because we want to make AI a reality everywhere we can.
Meet Our Leadership
Dr. Qiuyan Xu
Founding partner, data scientist, business executive,
Eric Bullen
Partner, business entrepreneur, husband, dad, philanthropist, traveler and cyclist.
METHODOLOGY
Providing agile data science and AI development practices and frameworks.
PERSPECTIVE
Reaching across borders, the team designs and develops bespoke solutions with right-size capabilities.
EXPERTISE
Combining technical and industry experiences to solve individualized problems.
COLLABORATION
Engaging product and development teams to drive quality implementations.
Dr. Xu successfully deployed marketing, pricing and risk management models for the US fortune 500 Insurance companies, and then built up big data analytics capabilities for FinTech startups.
EXPERTISE
Making AI Reality
Gravitate leads SaaS businesses through the process of designing solution architectures, as well as detail-oriented model building and ML operation.
When you don't know exactly what you need to implement an AI product solution, it is probably best to start small. We have honed a process that enables your teams to maintain their velocity, while also building up and sharing domain knowledge.
Our experiences have guided us to develop our own methodology and we've combined that with a very collaborative approach to partnering with our clients.