Molecula offers a commercial version of the open-source data format Pilosa as a cloud-agnostic data layer for big data analytics, AI, and machine learning. Its platform continuously extracts and updates features into a centralized feature store, helping maintain consistency between training and inference. The company says its approach can reduce the data footprint by 60% to 90% and provides a secure format for sharing. Molecula provides a control plane for hybrid on-premises, cloud, and edge deployments, plus “data taps” that ingest and route source data and a framework to integrate third-party tools, libraries, models, and code. The startup is preparing a managed cloud service and will use recent proceeds to accelerate that launch and expand sales and marketing efforts. No operating-revenue or user metrics were disclosed in the article. Molecula is an enterprise software company providing a data virtualization platform that enables instantaneous, secure access to large, fragmented, and geographically dispersed datasets to support advanced analytics and machine learning workloads. Its core technology is built on the open-source project Pilosa and has been used by over 1,800 organizations globally. Clients include major brands in media, entertainment, technology, and healthcare, with key solutions deployed for real-time customer segmentation, real-time security and fraud detection, and accelerating BI and ML projects. Founded in 2017 and led by CEO H.O. Maycotte, Molecula is based in Austin, Texas. The company closed a $6 million seed round to accelerate its product roadmap and expand go-to-market efforts. Backers on the round included Seraph Group, Lontra Ventures, Velar Capital, Capital Factory, Andrew Busey and Jason Dorsey.

Total raised

$24M

Funding rounds

2

Latest round

Series A

Latest activity

Jan 2021