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Enterprise Applications Series A Founded 2016

Monolith

Monolith develops AI-driven software that transforms engineering product development and testing workflows. The platform builds the interface between artificial intelligence and engineering test labs, offering a core platform with modules for test data validation, test plan optimization, and system calibration. Its proprietary Anomaly Detector uses AI to automatically inspect and flag errors across hundreds of test…

📍 London, United Kingdom · Manufacturing Tech,

Funding snapshot

Last roundSeries A
Amount$12M
Date23 August 2021
Total raised$15M
Valuation7,000,000 (Apr 5, 2019)
Team size40

About

Monolith develops AI-driven software that transforms engineering product development and testing workflows. The platform builds the interface between artificial intelligence and engineering test labs, offering a core platform with modules for test data validation, test plan optimization, and system calibration. Its proprietary Anomaly Detector uses AI to automatically inspect and flag errors across hundreds of test data channels, finding more than 90% of known errors faster than manual methods. The software features an intuitive notebook interface designed specifically for domain experts, with unique AI algorithms built for engineering applications and an enterprise SaaS architecture supporting large data, high-performance computing, and collaboration. Monolith also provides consulting, advanced research, and AI training services through its Success360 program. The platform serves the battery, automotive, aerospace and defense, and industrial and medical industries, with customers including Vertical Aerospace, Nissan, Michelin, PREMA Racing, HORIBA MIRA, Thales UK, and Kautex-Textron. Founded in 2016 and headquartered in London, United Kingdom, Monolith has raised approximately $14.6 million in Series A funding from investors including Insight Partners, Pentech, Stanford University, IP Group, Founders Factory, and the Advanced Propulsion Centre UK.

Business model

Manufacturing Tech > Product Design & Development > Computer-Aided Engineering > Design Analysis,

Tech Nation Batches > Applied AI > Cohort 1.0

Team background

College Wise > Imperial College London

Institutional investors

Pentech Stanford University Ascension Insight Partners Touchstone Exploration Founders Factory Reyker IP Group Advanced Propulsion Centre UK Charlie Songhurst Serge Chiaramonte Emma Blackburn Mohammed Almojel Charles Songhurst Allen Sinsheimer

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