Led · Seed · Jan 2025

Glue is a Seattle, WA-based test planning and automation company whose flagship product is Glue Studio, an AI-powered test automation platform. Glue Studio translates complex specifications into actionable test automation scripts to simplify and accelerate testing and validation. The company intends to use the newly raised funds to expand development of Glue Studio, grow its engineering and product teams, and build strategic partnerships with enterprises. Glue raised $2M in a pre-seed round led by Fortive Corp., with participation from Pioneer Square Ventures and the AIStudio Fund (a collaboration by PSL and Mayfield). The company is led by CEO David Sulpy and CTO Will Blaschko. The article did not disclose revenue, user metrics, or prior financing details.

Led · Series B · Sep 2022

Datamaran provides an AI-powered software analytics platform that identifies and monitors external risks, including ESG, to support governance and risk management. Its platform monitors over 400 external risk factors, tracks more than 4,000 ESG regulations and standards, and includes a database of 9,000 companies for benchmarking. Nearly 200 clients use the platform, including Dell, Cisco, AB InBev, Deloitte, Pepsico and the European Financial Advisory Reporting Group (EFRAG). As a 10-year-old company, Datamaran says it has more than doubled subscription revenue in the 18 months since its last funding round. The company will use proceeds to accelerate growth in the U.S. and Europe and to further advance initiatives in generative AI. Datamaran's technology has been recognized by EFRAG as a best practice for in-house materiality analysis and risk monitoring. Datamaran provides an ESG risk management software analytics platform that identifies and monitors external risks, including ESG. Its patented technology offers real-time analytics on strategic, regulatory, and reputational risks specific to a business and value chain. The platform is used by blue-chip companies and top-tier partners and has been recognized by the European regulator EFRAG for enabling in-house, data-driven materiality analysis and risk monitoring. Led by CEO Marjella Lecourt-Alma, the company plans to use newly raised funds to enable additional product innovation and to expand its U.S. team. The financing will support scaling to meet the needs of the expanding ESG insights market. Datamaran is based in London, UK.

Participated · Series A · Jun 2018

Falkonry develops an Operational AI product (Falkonry LRS) that discovers, explains and predicts behaviors from operational data without requiring data scientists. Its platform is built to be easily deployable, scalable, highly secure and able to handle massive amounts of data on-premises, in the cloud or at the edge. The company has developed an “Air Gap” version to meet high government security requirements and is integrated into DoD analysis platforms to support classified and unclassified environments. Falkonry states it has tripled the number of customers it is serving within the Department of Defense following early evaluations. The product is being used by STRATCOM’s Joint Warfare Analysis Center (JWAC) to analyze large operational data sets and provide real-time inferencing. Customers reportedly achieve initial results in a few weeks, save millions in operating costs, and realize a 3–5x ROI annually. Falkonry delivers operational machine learning through its Falkonry LRS product, enabling operations teams to discover patterns in existing operations data, apply predictive analytics, and receive actionable insights without requiring data scientists. Falkonry LRS can be deployed on-premises or in the cloud and is used across industries including oil & gas, automotive, semiconductor, mining & metals, power & energy, and industrial equipment. Customers such as Toyota and EDP have adopted the system, and the company has been recognized as a Gartner Cool Vendor and an IDC Innovator. Falkonry says its approach delivers measurable improvements in throughput, uptime, yield and product quality and has saved customers millions annually. The company plans to use new funding to expand its engineering and customer-success organizations and to pursue OEM partnership routes to revenue. Falkonry develops artificial intelligence software to discover, recognize and predict time-series patterns for downtime, quality, yield and efficiency to improve overall equipment effectiveness (OEE). Its patent-pending core AI continuously improves as it analyzes more input data and expert labels. The software is offered via a term-licensing model and can be deployed in the cloud or on-premises, enabling industrial engineers to create real-time process-control insights from IoT time-series data. Technology partners include OSIsoft, SAP, Vegam, MDS Technology, Microsoft, PTC, PubNub and Oracle. The company has offices in Seoul and Mumbai and serves customers across APAC and North America. It intends to use the recently raised funds to continue expanding operations.