Mission OUR MISSION Our mission is to amplify the impact of data science to the organization and to empower every data scientist to generate valuable and trusted insights from data in less than 5 minutes.
OUR VISION We envision a world where data is accessible and empowering to everyone in the organization. Decision-makers no longer make decisions on gut feel, but instead on tangible evidence that enables our clients to crush their competition.
Description After working with hundreds of data science teams, Rasgo's Founders were dismayed by the failure rate of data science projects. We saw countless examples of organizations making substantial investments in data science teams and technologies, only to miss out on billions in opportunity value due to an inability to make data available to models. Thousands of data scientists complained to us they were frustrated by months spent extracting, exploring, cleaning, joining, and transforming data for modeling -- We knew something had to change.
Rasgo is a feature engineering platform that transforms your existing data warehouse into a repository of fully contextual features. With Rasgo, we enable you to understand the nuances of your data with rich data exploration capabilities, transform your data into highly curated ML features, and organize those features so they can be distributed to production models in a highly consistent manner.
Rasgo has raised over $25M in venture funding through its Series A, led by Insight Partners with continued support from Unusual Ventures. We have global enterprise production customers across Finance, Manufacturing, Biotech, Retail, and Alternative Energy.
Rasgo is fully remote, with employees located across the US including New York, North Carolina, and California. We have grown a world-class team with alumni from Confluent, DataRobot, and Domino Data Lab. Our company was founded on these main core values: - Humility: No brilliant jerks, we recognize we don’t know everything - Iteration/Dice Roll: Before making big decisions, we test our hypothesis in <5 days - Transparency: We disperse all information to our team so we can make informed decisions - Extreme Ownership: We know our domain, own our deliverables, and work together