Immensa utilizes additive manufacturing and digital warehousing to produce spare parts on demand, significantly reducing lead times and warehousing costs by up to 30%. This approach enables companies to digitize their spare parts inventory, enhancing supply chain control while minimizing carbon emissions.
Funding
$27M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
GVFounders
Product
Problem
Maintaining a physical spare parts inventory is costly due to warehousing, obsolescence, and long lead times, especially for industries requiring specialized components. Traditional supply chains often struggle to provide timely access to spare parts, leading to operational downtime and increased expenses.
Solution
Immensa offers a digital warehousing and additive manufacturing solution that enables companies to produce spare parts on demand. By digitizing physical inventories and leveraging a global network of additive manufacturing providers, Immensa reduces lead times and warehousing costs. The platform uses AI to assess existing inventories, identify parts suitable for digitization, and create digital twins for on-demand production. This approach allows businesses to streamline their supply chain, minimize carbon emissions through localized production, and ensure access to parts even when original manufacturers discontinue production.
Target Audience
Immensa primarily serves companies in the energy sector, including oil & gas, petrochemicals, and power generation, as well as other industries with complex spare parts requirements.
Features
- AI-powered inventory assessment to identify suitable spare parts for digitization
- Secure digital warehousing of spare parts data, protecting against obsolescence
- On-demand manufacturing through a global network of additive manufacturing service providers
- Localized production capabilities using multiple additive manufacturing methods and materials
- Digital twin creation for accurate part replication
- Streamlined ordering process for efficient part procurement
- Quality control tests and simulations to ensure part performance