Monolith AI
Monolith AI is a UK-based enterprise SaaS company that builds AI-powered engineering software — using self-learning models, anomaly detection, and test plan optimisation — to help automotive, aerospace, battery, and industrial teams reduce physical testing and accelerate product development.
- Company typePrivate
- Founded2016
- HeadquartersLondon, United Kingdom
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Monolith AI does
Monolith AI is a UK-based enterprise software company founded in 2016 as a spinout from Imperial College London that builds an AI engineering platform designed to reduce physical testing and accelerate product development for engineering teams. The core platform uses self-learning AI models trained on proprietary engineering test data to predict product behavior, supplemented by three specialized modules: Test Data Validation (anomaly detection identifying over 90% of known errors), Test Plan Optimisation (Next Test Recommender reducing test steps by up to 70%), and System Calibration (virtual sensors, optimized test cycles, and calibration map predictions). The platform also integrates agentic generative AI capabilities, including an LLM-powered battery expert launched in 2025, and supports engineering workflows without requiring coding expertise from domain users.
Monolith serves enterprise customers primarily in automotive (BMW, Honda, Nissan, Mercedes-Benz, Kautex-Textron, Michelin), aerospace & defense (Rolls-Royce, BAE Systems, Vertical Aerospace, Thales UK), battery & EV (NIO Europe, Factorial Energy, Webasto, HORIBA MIRA, CamMotive), and industrial / consumer goods (Honeywell, Siemens, Aptar, L'Oréal, Nanopharm), with reported outcomes including up to 70% reduction in testing, 50% reduction in development time, and £500,000 in identified testing waste per major OEM engagement. The company operates a direct enterprise sales motion with quote-based annual subscription pricing complemented by professional services (Consulting/Implementation, Advanced Research, AI Training).
In October 2025, Monolith was acquired by CoreWeave Inc., a US-based AI cloud infrastructure company (NASDAQ: CRWV), as part of CoreWeave's strategy to expand its GPU cloud platform into industrial AI applications. The company holds ISO 27001 certification and has patent-pending proprietary algorithms for 3D data handling, and operates from London with global enterprise reach across EMEA, North America, and Japan.
Monolith AI firmographics
Firmographics- Name
- Monolith AI
- Legal name
- Monolith AI
- Website
- https://monolithai.com
- Company type
- Private
- Founded year
- 2016
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Short description
- Monolith AI is a UK-based enterprise SaaS company that builds AI-powered engineering software — using self-learning models, anomaly detection, and test plan optimisation — to help automotive, aerospace, battery, and industrial teams reduce physical testing and accelerate product development.
- Ownership category
- akta.pro rank
Monolith AI industry classification
Industry- Product category
- Engineering AI Software
- NAICS
- Computer Systems Design Services (541512), Other Computer Related Services (541519)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
- akta.pro secondary industries
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
Keywords
Where Monolith AI is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices1 record
Markets served
Monolith AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- SaaS Platform Subscription: Enterprise cloud-based AI platform subscription providing access to core platform, test data validation, test plan optimization, and system calibration modules. Subscription model with annual billing based on scope and scale. Includes in-product tutorials, online learning tools, and customer support.
- Professional Services: AI consulting and implementation services including Success360 program, advanced research collaboration, and AI training programs. Provides hands-on support for AI adoption, workflow integration, and custom algorithm development. Options include business transformation, data science research, data preparation, and implementation support.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise SaaS Platform - Custom pricing based on scope and scale |
Go-to-market motion3 records
Distribution channels1 record
Marketing channels10 records
Monolith AI product offering
Product offeringCore offering
Monolith AI develops a self-learning AI platform that helps engineering teams predict product behavior from existing test, CAD, and simulation data, reducing physical testing and accelerating product development. Its modular enterprise SaaS platform includes a Core Platform plus add-on modules for test data validation (anomaly detection), test plan optimization (Next Test Recommender), and system calibration, complemented by AI consulting, advanced research, and training services.
Product overview
Monolith AI offers a modular platform architecture consisting of the Core Platform as the central AI engineering workspace, supplemented by three specialized add-on modules: Test Data Validation Module (anomaly detection), Test Plan Optimisation Module (next test recommender), and System Calibration Module. The platform is complemented by professional services including Consulting and Implementation, Advanced Research, and AI Training. All products leverage self-learning AI models trained on engineering test data to predict product behavior, reduce physical testing requirements, and accelerate product development cycles across automotive, aerospace, battery, and industrial engineering applications.
Differentiator
Problem solved
Functional benefit
Products and services
- Core Platform
Quantifiable outcome
- Up to 70% reduction in testing time
- +13 more outcomes
Companies that use Monolith AI
Customer profileNamed customers23 records
Segments4 records
Ideal customer profiles4 records
Monolith AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability9 records
Feature9 records
Monolith AI partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core, minor and major.
- JungheinrichcoreJungheinrich partnered with Monolith to use AI-driven tools for analyzing battery test data and accelerating battery development for electric forklifts. The collaboration aims to reduce reliance on physical testing by deploying machine learning models that predict battery performance, thereby cutting development time and prototype costs. Reflects broader manufacturing industry trend where AI accelerates R&D by 20-80 percent according to McKinsey estimates.
- NissancoreNissan and Monolith extended their strategic partnership through 2027, using AI to reduce physical vehicle testing and accelerate development starting with the Nissan LEAF electric vehicle. The AI technology improved testing efficiency, resulting in a 17% reduction in physical tests during collaboration on bolt joint performance. Applying this approach across Nissan's European models could halve vehicle development time.
- CamMotiveminorMonolith and CamMotive joined forces to drive faster, more accurate EV battery testing with AI. Collaboration focuses on hybrid modeling approach for battery anomaly detection to improve testing efficiency.
- Factorial EnergyminorMonolith and Factorial Energy collaborated to feature an agentic battery expert to supercharge solid-state battery R&D with generative AI. Webinar collaboration announced June 2025 to accelerate next-generation battery technology development.
- Cadillac Hertz Team JOTAminorCadillac Hertz Team JOTA employs Monolith's AI software to supercharge off-track performance testing for endurance racing. Partnership enables dramatic reduction in track testing while improving performance outcomes.
- Vertical AerospacemajorVertical Aerospace chose Monolith as their 'AI for Engineering' partner to streamline testing processes and enhance engineering precision for the VX4 eVTOL aircraft. Partnership enables faster time to market while setting benchmarks for the electric vertical takeoff and landing industry.
- HORIBA MIRAmajorHORIBA MIRA partnered with Monolith to enhance its battery testing capabilities through AI, supporting customers with robust tools for physical and virtual engineering. Partnership enhances HORIBA MIRA's physical and virtual engineering capability to support customers with the tools they need.
- NIO EuropecoreMonolith and NIO Europe began their first ever collaboration on AI-driven anomaly detection for EV batteries. The partnership focuses on using AI to improve battery validation processes for electric vehicles.
- About:EnergyminorMonolith and About:Energy partnered to accelerate development of next-generation EV batteries. Collaboration combines About:Energy's battery expertise with Monolith's AI capabilities for improved battery testing and validation.
- Siemens Digital Industries SoftwarecoreMonolith AI announced partnership with Siemens Digital Industries Software, integrating with Simcenter STAR-CCM+ to bring machine learning to CFD simulations. The partnership enables AI to extend the abilities of engineers and unleashes innovation even without CAD access, according to Siemens leadership.
Scale indicators16 records
Recent moves6 records
Expansion highlights6 records
Monolith AI competitors and assessment
Company assessmentBroad incumbents
- Hexagon: Provides manufacturing and engineering software (MSC Software, Nexus) with simulation and AI components serving automotive and aerospace OEMs.
- Siemens Digital Industries Software: Simcenter and STAR-CCM+ vendor and Monolith's named integration partner; offers established CAE/seat-based simulation tooling with embedded AI roadmap that overlaps Monolith's engineering-AI positioning.
- ANSYS: Dominant simulation platform for automotive and aerospace with growing AI/ML features (Ansys SimAI, optiSLang); competes for the same engineering budget pool as Monolith.
- Altair Engineering: Simulation, HPC, and AI-driven design optimization platform targeting automotive and industrial engineers, with overlapping use cases in test reduction and design exploration.
- MathWorks: MATLAB/Simulink is the default toolset for control systems and test data analysis in automotive/aerospace; increasingly offers AI workflows that compete with Monolith's no-code positioning.
- PTC: PLM and CAD (Creo, Windchill) vendor with AI features for product development and lifecycle management; targets the same engineering and manufacturing customer base.
Direct peers
- Neural Concept: AI-for-engineering startup offering deep-learning surrogate models for CAD-driven simulation, directly competing with Monolith in automotive and aerospace design optimization.
- Rescale: Cloud platform for engineering simulation and AI workloads with HPC and ML integration; competes for similar IT/engineering budget in automotive and industrial accounts.
- DataRobot: Enterprise AI/ML platform with autoML, MLOps, and industry-specific applications; competes for AI-platform budget in industrial customers Monolith targets.
- Dataiku: Enterprise AI/ML platform providing no-code model building, MLOps, and collaboration features overlapping with Monolith's notebook-based self-learning platform.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Monolith AI social profiles
Digital presenceMonolith AI compliance and trust
Trust signalCompliance1 record
Monolith AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Monolith AI leadership team
Management profileNumber of profiles
Profiles3 records
Monolith AI funding detail
Funding detailFunding overview
Funding rounds4 records
Investors9 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Monolith AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Monolith AI
What does Monolith AI do?
Monolith AI develops a self-learning AI platform that helps engineering teams predict product behavior from existing test, CAD, and simulation data, reducing physical testing and accelerating product development. Its modular enterprise SaaS platform includes a Core Platform plus add-on modules for test data validation (anomaly detection), test plan optimization (Next Test Recommender), and system calibration, complemented by AI consulting, advanced research, and training services.
Is Monolith AI a public or private company?
Monolith AI is a private company. It is classified as corporate owned and is currently acquired.
When was Monolith AI founded?
Monolith AI was founded in 2016. It employs 11 to 50 people.
Where is Monolith AI based?
Monolith AI is headquartered in London, United Kingdom, in the Europe region.
How does Monolith AI make money?
Two revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are professional Services.
Who are Monolith AI's main competitors?
Broad incumbents on record are Hexagon, Siemens Digital Industries Software, ANSYS, Altair Engineering, MathWorks and PTC. Direct peers are Neural Concept, Rescale, DataRobot and Dataiku.
Does Monolith AI have an API?
No public API is recorded for Monolith AI.
What industry is Monolith AI in?
Monolith AI's product category is Engineering AI Software. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 541512 and its SIC code is 7372.