
Key Ward
Deeptech company with data scientists and engineers specializing in CAE & Generative AI, advancing engineering design optimization.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
investor | €0.0 | round | |
N/A | Seed | ||
Total Funding | 000k |
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Keyward.io is a Software as a Service (SaaS) startup founded by engineers, targeting the engineering sector with a specialized focus on aerodynamics and fluid mechanics. The company leverages Machine Learning (ML) to streamline and optimize the traditionally complex and time-consuming process of aerodynamic development. This process typically involves multiple departments, including design, simulations, and wind tunnel testing, which can be costly and inefficient.
Keyward.io's AI-powered solution significantly reduces the time, energy consumption, and costs associated with aerodynamic development by approximately 50%. The platform delivers results in just 0.08 seconds with 95% accuracy, making it a highly efficient alternative to traditional methods. This efficiency is crucial in an industry where wind tunnel testing alone can consume as much energy as 26,880 households annually.
The company operates on a flexible subscription model tailored to client needs, making it accessible to a wide range of businesses within the engineering market. Clients do not need prior experience in Machine Learning or data analysis to benefit from Keyward.io's services, which further lowers the barrier to entry.
Keyward.io addresses several key inefficiencies in the aerodynamic development process, such as high costs, lengthy project timelines, and data management issues. By integrating various tools and software, the platform eliminates data chaos and enhances compliance, thereby reducing fines and other penalties.
In summary, Keyward.io offers a cutting-edge, AI-driven solution that transforms the aerodynamic development process, making it faster, more cost-effective, and energy-efficient. The company's flexible subscription model and user-friendly platform make it an attractive option for engineering firms looking to modernize their operations.
Keywords: AI-powered, SaaS, aerodynamics, fluid mechanics, Machine Learning, engineering, cost-efficient, time-saving, energy-efficient, subscription model.