SPREAD provides a cloud-based Engineering Intelligence Graph that connects fragmented mechatronic product data, enabling engineers to visualize critical dependencies across mechanics, electronics, and software. This integration reduces time-to-market and enhances productivity by facilitating efficient collaboration and informed decision-making in complex engineering tasks.
Funding
$46M 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.
CVCS+4Founders
Product
Problem
Mechatronic product development involves complex interactions between mechanical, electronic, and software components, often managed in fragmented data silos. Engineers struggle to visualize critical dependencies across these domains, leading to inefficiencies, missed dependencies, and delayed time-to-market. The lack of synchronized product knowledge hinders collaboration and informed decision-making.
Solution
SPREAD offers a cloud-based Engineering Intelligence Graph that connects disparate mechatronic product data, providing engineers with a holistic view of system dependencies. By creating a product knowledge digital twin, SPREAD's platform enables users to easily access and understand the relationships between mechanics, electronics, and software. The system facilitates efficient collaboration and fact-based decision-making, allowing engineers to save time and focus on complex engineering tasks. SPREAD's agentic engineering intelligence suite provides app-based solutions, AI, and low-code capabilities, offering flexibility in how users interact with information for rapid troubleshooting, informed architecture definition, and proactive change management.
Target Audience
SPREAD targets engineers, engineering teams, and R&D departments involved in the development of complex mechatronic systems across various industries.
Features
- Engineering Intelligence Graph database representing system functionality and interdependencies.
- Analysis hub connecting all product data and putting it into logical context.
- App-based solutions for rapid troubleshooting, E/E architecture definition, and change management.
- AI and low-code capabilities for customized workflows and data analysis.
- Algorithm-based suggestions for assembly planning.
- Collaboration environment for sharing insights and facilitating cross-domain communication.