Self-Funded, AI Upstart Turbine Labs No Longer Flying Under the Radar
Denver-based Turbine Labs is finishing the inaugural year of its AI-powered executive intelligence platform, serving a growing number of Fortune 100 customers, federal policy makers, and lobbying firms who have resolved to combat misinformation and manipulation in the data they use to make critical decisions.
“Executives at the world’s largest companies and organizations are making critical decisions using information that is inaccurate, biased, or manipulated”
The company is an anomaly in the AI space. Start-ups will often raise tens or hundreds of millions of dollars without realizing revenues or profits for years. Conversely, Turbine Labs has grown to millions in revenues, positive cash flow, and projections to grow by over 200% next year having raised no outside capital.
Turbine Labs’ “Solution as a Service” leverages artificial intelligence with human oversight to ensure senior executives can act on accurate data. Users simply ask a question of the platform in natural language. The platform processes media and conversations from millions of sources, and, in near-real time, delivers customized, in-context briefings and alerts directly to decision makers.
“Executives at the world’s largest companies and organizations are making critical decisions using information that is inaccurate, biased, or manipulated,” said Leigh Fatzinger, Founder and CEO. “Turbine Labs’ AI-powered platform delivers executives the truth about any event, topic, crisis, so they can make confident decisions faster.”
Turbine Labs’ patent-pending platform was developed with 18M unique media items manually scored in four years – one of the largest AI training sets ever created for executive intelligence applications. By training the AI to process media as an objective human reader would, executives can now make key decisions on intelligence that’s accurate, impactful, and relevant much faster than ever before.
Misinformation and data inaccuracy have reached crisis level. IBM estimates that decisions made from inaccurate and misleading data cost the US economy over $3T per year. Further, KPMG surveyed senior executives and found that over one third do not trust the data they receive to make key decisions. Turbine Labs estimates the market for cognitive AI and machine learning solutions that enable objective, unbiased information discovery at the executive level to exceed $8B per year by 2021.