Accelerate your time to market with our industry-leading Data Co-Op, built on insights curated by our data engineering team. To understand factors shaping the industry, culture, technology, and politics, we evaluate hundreds of early-stage startups in machine learning and artificial intelligence and partner with Arizona State University and UC Berkeley to access Ph.D. researchers and ML Experts.
Your roadmap for data innovation starts with a clear definition of your vision and goals for launching a data product. Working beside your teams in a data innovation sprint, we quickly arrive at a prioritized set of possibilities where data drives new applications and products in a cost-effective manner. The result? A clear view of where to invest and prioritize your go-to-market efforts.
Bring your data, your product expert, and a business problem, we do the rest to help spin up an MVP of your Data Product. First, we identify the features needed and then test multiple models to determine which is best for solving your specific problem. Once an MVP is achieved, it’s time for development and refinement and then having the market give us feedback.