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DateInvestorsAmountRound
-investor investor

€0.0

round
investor

€0.0

round
investor

€0.0

round
investor

€0.0

round
*

€3.0m

Early VC
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-27 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

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More about Quantistry
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Quantum-on-demand.com, operating under the brand name Quantistry, is a tech startup that provides a cloud-based simulation platform for advanced material development. The company combines quantum chemistry and machine learning to offer a powerful solution that enables its clients to develop better products in less time. The platform is designed to be user-friendly, with a workflow designer that makes it easy for anyone to use. For more advanced users, there's an expert mode that allows for individual task configuration.

Quantistry's platform is cloud-native, meaning it's always up-to-date with the latest computing resources and simulation technology. When quantum computers become commercially available, the platform will be able to access these resources immediately. This approach reduces initial costs as no hardware needs to be purchased. The pricing model is based on a low annual base fee plus charges for computing power used, which helps to reduce research and development (R&D) costs and speed up product development.

The company serves clients who are involved in material development and need to conduct simulations for their R&D. This could include industries such as manufacturing, pharmaceuticals, and technology. Quantistry also provides expert support from computational chemists and account managers for project management and business-related queries.

In summary, Quantistry offers a cost-effective, efficient, and user-friendly solution for advanced material development using the latest technology.

Keywords: Quantum Computing, Material Development, Cloud-Based, Simulation Platform, Machine Learning, User-Friendly, Cost-Effective, Efficient, Advanced Technology, Research and Development.

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