Customers include Netflix, McGraw-Hill, Orange, Pagerduty, and Medallia.
Competitive Landscape: Sumo Logic will compete with CloudPhysics, Splunk, and open-source alternatives like Elasticsearch and Kibana.
What they do: Apply Big Data analysis in order to solve complex problems, including finding cures for cancers and other diseases, exploring new energy sources, and preventing terrorism and financial fraud.
Headquarters: Palo Alto, Calif.
CEO: Gurjeet Singh, who was previously a Research Scientist at Stanford.
Founded: The company was founded in 2008 but stayed in stealth-mode until its launch in January 2013.
Funding: Ayasdi has raised $43.4 million in VC funding from FLOODGATE, Khosla Ventures, Institutional Venture Partners, GE Ventures, and Citi Ventures. The company also received $1.2 million in DARPA and NSF grants.
Why they're on this list: According to Ayasdi, since the creation of SQL in the 1980s, data analysts have tried to find insights by asking questions and writing queries. The query-based approach has two fundamental flaws. First, all queries are based on human assumptions and biases. Second, query results only reveal slices of data and do not show relationships between similar groups of data. While this method can uncover clues about how to solve problems, it is a game of chance that usually results in weeks, months, and years of iterative guesswork.
Ayasdi believes a better approach is to look at the "shape" of the data. Ayasdi argues that large data sets have a distinct shape, or topology, and that shape has significant meaning. Ayasdi claims to help companies determine that shape in minutes so they can automatically discover insights from their data without ever having to ask questions, formulate queries, or write code.
Ayasdi's Insight Discovery platform uses Topological Data Analysis (TDA) in tandem with machine learning techniques to enable data scientists, domain experts, and business analysts to optimize their data without coding.
Customers include GE, Citi, Merck, USDA, Mt Sinai Hospital, the Miami Heat, and the CDC.
Competitive Landscape: The machine learning space is wide open. Ayasdi will compete against IBM's Watson, SAS, and Skytree.
What they do: Feedzai uses real-time, machined-based learning to help companies prevent fraud.
Headquarters: San Mateo, Calif.
CEO: Nuno Sebastião. Prior to Feedzai, he led the development of the European Space Agency's satellite simulation infrastructure.
Funding: Feedzai has raised $4.3 million from SAP Ventures, Data Collective, and other international investors.
Why they're on this list: It's no great revelation that online fraud is a major problem. However, its impact is often underestimated. For instance, the Target breach could end up costing as much as $680 million, according to the Ponemon Institute.
Feedzai claims that it can detect fraud in any commerce transaction, whether the credit card is present or not, in real-time. Feedzai combines artificial intelligence (AI) to build more robust predictive models and analyze consumer behavior in a way that mitigates risk, protects consumers and companies from fraud, and preserves consumer trust.
Feedzai's software attempts to understand the way consumers behave when they make purchases anywhere, online or off. Feedzai says that its fraud detection system aggregates both online and offline purchases for each consumer over a longer time-frame, which results in earlier, more reliable detection rates.