Monolith AI
Financials
Estimates*
USD | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Revenues | 1.4m | 1.5m | 2.4m | 4.9m | 4.9m |
% growth | - | 11 % | 60 % | 104 % | - |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
N/A | Spinout | ||
N/A | Seed | ||
N/A | £200k | Seed | |
$2.4m | Early VC | ||
N/A | Support Program | ||
£1.5m | Convertible | ||
£8.5m | Series A | ||
N/A | Support Program | ||
Total Funding | AUD24.5m |
Recent News about Monolith AI
EditMonolith AI is a cutting-edge technology company that specializes in providing advanced AI software solutions for engineers. The company operates in the engineering and manufacturing sectors, serving clients who need to accelerate product development, predict product performance, and validate designs more efficiently. Monolith AI's platform leverages years of research and sophisticated artificial intelligence to enable engineers to make decisions in minutes rather than months. This significantly reduces the need for physical tests and simulations, thereby speeding up the time-to-market for new products.
Monolith AI's business model revolves around a subscription-based software-as-a-service (SaaS) offering. Clients pay for access to the platform, which integrates seamlessly with popular engineering applications and unlocks the potential of complex engineering data. The platform is particularly effective in handling data from CAD (Computer-Aided Design), CAE (Computer-Aided Engineering), and CAM (Computer-Aided Manufacturing) applications, making it a unique solution in the market.
The company generates revenue through subscription fees and potentially through additional services such as training and support. By reducing physical tests by up to 70% and simulations by up to 90%, Monolith AI provides a compelling value proposition for engineering teams looking to optimize their workflows and bring products to market faster.
Keywords: AI software, engineering, product development, performance prediction, physical testing, simulations, CAD data, CAE data, CAM data, SaaS.