Scaled Inference is building a cloud-based platform that lets third parties run AI and machine-learning services through APIs. It is developing core services—pattern recognition, anomaly detection, prediction, and predictive ranking—that developers can access to build applications. The company has not launched a public product yet but expects a working prototype soon and is assembling companies for a closed trial. Much of the initial use cases target e-commerce and related financial services, such as transaction analysis and anti-fraud queries. The startup raised an $8 million Series A from Khosla Ventures, bringing total funding to $13.6 million to support development and hiring. Because many applications rely on sensitive personal data, Scaled Inference plans for potential private or on-premise deployments alongside its long-term vision of offering public cloud APIs. Scaled Inference is developing a cloud service that exposes machine learning and AI capabilities via APIs so developers can add context‑sensitive intelligence to apps. The company plans to launch three API sets at release: pattern recognition, prediction of user actions, and a ranking product based on prior IP. Its founders are Olcan Sercinoglu and Dmitry Lepikhin, both long‑time Google engineers with experience on projects like Google Brain and Sibyl. Scaled Inference is positioning itself as a neutral platform for diverse AI problems, targeting mobile and consumer apps that need personalized, context‑aware functionality. The startup is operating in stealth and does not yet have a public website, though domains inference.io and scaledinference.com are noted for future use. Financially, the company has disclosed $4 million in seed funding to date and said the round is likely to be around $8 million when it closes.

Total raised

$12M

Funding rounds

2

Latest round

Series A

Latest activity

Nov 2014