Engineering AI Elevate product performance to the power of AI
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With Expleo, elevate product performance to the power of AI
In embedded systems engineering, a single oversight in a requirement, design choice, or line of code can cost millions, or even lives. As products become more complex and intelligent, with tighter delays, fewer resources and stricter regulations, the challenge is to build quality in from the very beginning, avoiding costly late-stage rework or critical safety design flaws. That’s where AI becomes a true enabler.
At Expleo, we help engineering teams unlock a new level of product performance and move from quality-by-testing to quality-by-design. Our teams apply AI to streamline the embedded systems development process, create AI-based embedded virtual sensors, and enable predictive maintenance features.
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AI and data services
Our teams apply AI to streamline the embedded systems development process, create AI-based embedded virtual sensors, and enable predictive maintenance features.
Enhance the speed, quality, and safety of your product design delivery with the power of AI. Expleo’s systems engineering, electronics engineering and embedded software teams leverage in-house LLM-based copilots to design, implement and test your embedded systems.
Examples of what our teams automate with AI:
- Hardware-in-the-loop (HiL) testing
- Failure mode and effects analysis (FMEA)
Improve your engineering processes with the power of AI. Expleo leverages the latest AI technologies to automate low value and repetitive tasks.
Examples of what our AI agents automate for our customers:
- RFQ and requirement analysis
- Predictive maintenance
Expleo helps manufacturers enhance performance and reduce hardware costs with Edge AI virtual sensors. By replacing or complementing physical sensors, our AI-driven models provide real-time insights on parameters that are difficult, costly, or impossible to measure directly.
The best decisions are based on accurate information. Expleo helps you turn data silos into clear, contextual insights and dashboards, for better informed decisions to drive your engineering projects. We also developed an in-house conversational AI-based business intelligence (BI) solution to handle ad-hoc data requests that require multiple data sources.
Examples of BI systems we delivered:
- Test prototypes data analytics platform
- In-service product quality analytics
- Export control data platform
