
IntelliAM
Utilizes AI and machine learning to enhance asset management in manufacturing, ensuring efficiency, innovation, and sustainability while improving availability, performance, quality, and safety.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | £5.1m Valuation: £17.9m | IPO | |
Total Funding | 000k |
GBP | 2024 | 2025 | 2026 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 1250 % | 583 % |
EBITDA | 0000 | 0000 | 0000 |
% EBITDA margin | - | (19 %) | - |
Profit | 0000 | 0000 | 0000 |
% profit margin | - | (17 %) | - |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Company filings or news article, Equity research estimates
Related Content
IntelliAM AI is a technology company specializing in artificial intelligence solutions for the manufacturing industry. The company focuses on enhancing operational efficiency through intelligent asset management. Its AI-driven platform analyzes vast amounts of manufacturing data to provide actionable insights, aiming to improve productivity, reduce waste, and optimize maintenance processes.
The company's solutions are utilized by various manufacturers, including some of the world's leading food and beverage producers. IntelliAM's platform offers features such as predictive maintenance, real-time monitoring, and performance optimization, all designed to support decision-making and operational excellence. By leveraging machine learning algorithms, the platform identifies patterns and anomalies, enabling proactive interventions and minimizing downtime.
IntelliAM AI's commitment to innovation is reflected in its continuous development of advanced analytics tools and its focus on delivering measurable results for clients. The company's approach combines technological expertise with a deep understanding of manufacturing processes, positioning it as a valuable partner for organizations seeking to embrace Industry 4.0 practices.
Keywords: artificial intelligence, manufacturing efficiency, intelligent asset management, predictive maintenance, real-time monitoring, performance optimization, machine learning, operational excellence, Industry 4.0, data analytics.
Investments by IntelliAM
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