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SCALE.sdm Opens Up for AI: New Interface for Intelligent Agents
SCALE.sdm provides an API interface. Result data is now directly integrable into agent-driven AI systems.
The new interface, based on the Model Context Protocol (MCP), enables companies for the first time to integrate their SCALE.sdm instance directly into agent-driven AI systems, taking intelligent automation to entirely new levels. The interface will be available from version 3.0.
What AI Agents Can Do Now
- Make intelligent decisions: AI agents can analyze project data, requirements, and test results in real time and build on them.
- Fully automate processes: AI-driven test analysis, requirements alignment, and automated reporting.
- Evaluate results: Direct access to metadata enables AI-supported analysis of simulation or test parameters as well as result KPIs.
- Gain efficiency: Repetitive tasks are fully taken over by intelligent agents.
- Use semantic search: AI agents can semantically search result data—not just for exact text matches but for meaning and context—to find relevant requirements, tests, and results faster.
Example Prompt
This is how a request to an AI agent accessing SCALE.sdm via the MCP interface might look:
Find all IIHS tests in the YARIS project with HIC > 700. Use the SCALE MCP interface: 1. Load all simulations 2. Semantically filter for IIHS tests 3. Load attributes and filter for HIC > 700 Output: - Test Name, IIHS Type, HIC Value, Status - Number of tests, Average HIC, Min/Max HIC - Table format in Markdown
Enterprise-Ready and Secure
The interface is built for productive AI systems:
- Role-based access control at the API level
- Read-only access for maximum data security
- Secure authentication and token management
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