
Partsimony
Partsimony is building the future cognitive supply chain.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor investor investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
* | $250k | Seed | |
Total Funding | 000k |
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | (43 %) | 100 % | - |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates, Company filings or news article
Related Content
Partsimony operates as an intelligent supply chain platform designed to streamline the manufacturing process for hardware companies. The platform leverages data-driven insights and deep industry expertise to simplify the complexities of distributed manufacturer networks. By connecting hardware companies with a vast network of manufacturers, Partsimony supports a wide range of manufacturing processes including 3D printing, machining, fabrication, injection molding, electronics, castings, and assemblies. The primary clients served by Partsimony are hardware companies looking to turn their designs into tangible products efficiently and cost-effectively. The company operates in the manufacturing and supply chain management market, providing a solution that optimizes design, order logistics, and overall workflows through its ever-improving algorithm. Partsimony's business model revolves around offering a subscription-based service that provides access to its platform and network, generating revenue through subscription fees and possibly transaction fees for orders placed through the platform.
Keywords: supply chain, hardware, manufacturing, 3D printing, data-driven, logistics, optimization, network, fabrication, injection molding.