Claire is the conversational interface for ASAMCommander. Engineers ask questions in plain language. Claire is an AI agent that finds measurements, runs analyses, exports data, triggers workflows. No query syntax. No menu navigation. Just describe what you need.
Built on HighQSoft's proven MCP Server technology and 25+ years of test data management expertise, Claire connects natural language to production infrastructure. Your existing tools, your existing data, a new way to access them.
Claire AI Agent for Test Data Management
The MCP Server is infrastructure level technology. It exposes your ASAM ODS data to any MCP compatible AI assistant such as Claude Desktop, ChatGPT, and other custom applications.
This option is best for:
The uses can access all data but must manage AI assistant configuration, API keys, session management.
Claire is an ai agent application embedded in ASAMCommander. Natural language access without setup, configuration, or AI expertise. IT configures once, everyone benefits.
This option is best for:
IT manages centralized API keys, authentication, and governance policies. You just chat away!
Ask the ai agent about your test data in plain English. Find measurements by project, date, status, or any information in your database. Filter and combine criteria naturally even if you don't know exactly, Claire will explore for you. Results come back as structured data you can browse, refine, or export.
Go beyond single queries. Compare channel values across multiple test runs. Obtain statistics quickly: min, max, average, standard deviation. Ask follow up questions to refine your analysis. Build toward insights through conversation.
Results are not just tables. Claire generates charts to help you see patterns, compare values, understand distributions. Interactive visualizations you can zoom, pan, and explore. See your data, not just read it.
Every application model is different. Your entity names, attribute structures, and relationships reflect your engineering domain. Claire learns your schema dynamically and translates natural language into commands that match your specific configuration. No manual mapping. No generic assumptions. Ask in your terminology.
Translation alone is not enough. Every generated query is validated before execution. Element names, attributes, and relationships are verified against your model. When something does not match, Claire attempts automatic correction. When correction is not possible, you receive specific guidance, not cryptic errors.
AI works within Claire, not just around it. The system intelligently selects the right model for each task—fast models for straightforward translations, more capable models when complexity requires it. This is not static tooling but adaptive intelligence that matches effort to the question. Built-in analytics provide transparency into how requests are processed.
Claire connects to multiple MCP servers, not just data queries. Export servers handle format conversion. Analysis servers trigger Merlin workflows. One conversation interface, expanding capabilities. As new servers come online, Claire accesses them automatically. No new UI to learn.
Claire lives inside ASAMCommander. No separate application. No context switching. Ask questions while browsing data. Natural language alongside traditional navigation. Session memory maintains context across follow ups. Build toward your answer step by step.
Authentication flows through ASAMCommander's existing setup. API keys managed centrally by IT. Usage stays within governance policies. No individual configuration required. The AI works for your organization, under your control.
Find relevant measurements without learning query syntax. Check what data exists for a project. Locate specific test runs by date, vehicle, or configuration. Trigger standard analyses without navigating Merlin. Get quick answers without waiting for database support. Spend time on engineering, not data retrieval.
Explore unfamiliar datasets through conversation. Understand application model structure by asking questions. Prototype queries in natural language before formalizing in scripts. Export data in the format you need without configuration dialogs. Focus on insights, not interface mechanics.
Access test status and progress without technical assistance. Ask about measurements completed, analyses pending, or data quality issues. Get visibility into test programs without becoming a database expert. Make decisions based on current information, not last week's report.
Claire is built on pyHQL, HighQSoft's Python library for ASAM ODS. This is not experimental integration. pyHQL has been in production at major OEMs for years, handling both metadata queries and time series retrieval.
The same foundation that powers BMW, Ford, Volkswagen, and Bosch test data pipelines now powers natural language access. Production proven, not demo ware.
HighQSoft has been solving test data management problems since the 1990s. We understand application models, measurement workflows, and analysis automation because we have built production systems for the world's leading automotive companies.
Claire inherits this expertise. Natural language access that understands engineering context, not generic AI chat.
Integration of Claire into ASAMCommander as a secured module, so users work in a familiar environment while Claire respects enterprise authentication, authorization, and auditing requirements. This keeps access controlled and collaboration safe across teams and sites.
Expose selected ASAMCommander capabilities as callable tools for Claire, for example, governed exports, format conversions, and results management. Claire can generate the right output on demand, attach it back to the relevant measurement context, and keep actions traceable for compliance and transparency.
Connect Claire to Merlin through an MCP server so the agent can start, parameterize, and monitor standardized analysis pipelines close to the data. This enables scalable automation, repeatable evaluations, and consistent results that teams can trust across projects.
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