Key Ward offers a no-code platform that automates the extraction, transformation, and management of engineering data from multiple sources, enabling engineers to build machine learning and deep learning models efficiently. This solution minimizes the risk of late-stage design failures by streamlining data workflows and significantly reducing project lead times.
Funding
$1.1M 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.
Founders
Product
Problem
Engineering teams face challenges in managing and processing data from diverse sources like CAD, FEA, CFD, and physical tests. Manual data handling is time-consuming, error-prone, and hinders the efficient development and deployment of machine learning models, leading to delays and increased risks of late-stage design failures.
Solution
Key Ward provides a no-code, end-to-end platform that streamlines engineering data workflows, enabling engineers to efficiently manage multi-source data, extract valuable insights, and build custom machine learning and deep learning models. The platform automates the extraction, transformation, and centralization of engineering data, allowing engineers to correlate data, identify dependencies, and uncover patterns. By simplifying data management and model building, Key Ward reduces project lead times, minimizes the need for data science expertise, and accelerates the design process.
Target Audience
The primary target audience includes design, calculation, and manufacturing engineers across various industries, such as automotive, aerospace, and energy, who seek to streamline data workflows and leverage AI for faster design cycles and improved product performance.
Features
- Automated data processing for centralizing, updating, extracting, sorting, cleaning, and preparing multi-source engineering data
- Advanced analytics tools for correlating experimental and simulation data to identify dependencies and patterns
- Intuitive templates for building custom machine learning and deep learning models
- Self-service DataOps platform for automating the management and processing of engineering files
- Pre-trained AI models for quasi real-time predictions on 1D, 2D, and 3D data
- Integration with CAD, FEA, CFD, and testing software
- Role-based access control