• AI Solutions for the Engineer

    Get more information from your test data!

From Test Data to AI-Powered Insights

Let engineers ask better questions—not write more scripts. Connect AI agents to trustworthy measurement data, automate analysis and turn results into actionable insights.

ENGINEERING AI THAT STARTS WITH DATA

AI can do more when it understands your measurements.

Measurement files alone are not enough. AI requires engineering context—test objects, configurations, channels, units and operating conditions—to produce useful analyses.


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Find data faster

Make relevant tests and engineering context easier to locate across connected data stores.

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Automate analysis

Reduce repetitive data preparation, code generation and reporting steps.

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See results clearly

Turn analytical output into meaningful charts, tables and dashboards.

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Keep your tools

Extend existing engineering toolchains through open interfaces—not wholesale replacement.

REAL ENGINEERING TASKS

What could an AI agent help your team achieve?

From finding a test run to producing an analysis, each workflow begins with an engineering question.

01

Explore available test data

Identify relevant campaigns and inspect metadata before selecting measurements for detailed analysis.

“Find temperature data for the selected battery configuration and operating conditions.”
02

Compare measurements

Generate analysis code to compare signals, calculate statistics and highlight selected deviations.

“Compare these temperature curves and flag values above the specified limit.”
03

Build visual reports

Generate plots, dashboards and technical summaries that engineers can review and share.

“Create a dashboard with maximum temperatures, trends and threshold violations.”

FROM QUESTION TO ENGINEERING INSIGHT

A clear workflow. Fewer repetitive steps.

The workflow below is an illustrative concept; actual implementation depends on your data sources, toolchain, permissions and analytical requirements.


01

Ask a question

An engineer defines the data scope, analysis objective and desired output.

02

Access trusted data

The agent retrieves relevant signals and metadata through controlled interfaces.

03

Analyze and visualize

Python-supported workflows perform calculations and build charts or dashboards.

04

Review and decide

The engineer checks the results, assumptions and significance of the findings.

OPEN TECHNOLOGY ARCHITECTURE

Put a trusted data foundation beneath your AI.

The advantage isn't a generic chatbot. It's the connection between context-rich engineering measurements and the AI tools your teams want to use. 

  • Peak Test Data Manager organizes measurement data, metadata and access through ASAM ODS.
  • Peak ASAM ODSBox brings ODS data into Python workflows with JAQueL queries and pandas DataFrames.
  • ODS AIConnect MCP Server connects compatible AI agents to engineering data with read-only access to original data.


Explore Peak Test Data Manager ↗

EXPERTISE + ENABLING TECHNOLOGY

Choose the support that fits your AI journey.

Peak Solution combines engineering data expertise, reusable product components and practical training.

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01 / Services

AI Engineering Services

Customer-specific AI applications, MCP integrations, engineering data connectivity, assisted analytics, reporting and enterprise enablement.

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02 / Products

Products & Components

PeakTDM, ODSBox and ODS AIConnect help accelerate integration instead of rebuilding common data access capabilities from scratch.

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03 / Enablement

AI & Data Analytics Training

Practical learning in Python, pandas, Jupyter, data visualization, reporting and AI-assisted development workflows.

YOUR INVESTMENT IS PROTECTED

New AI capabilities. Familiar engineering tools.

Specialized engineering software remains essential for complex NVH, modal, fatigue and other domain-specific analyses. We complement those tools with easier data access and automation.

ASAM ODSPythonJupyterMCPApache Spark
What stays with your engineers?
  • Selection of relevant measurements and test runs
  • Technical limits, assumptions and analysis objectives
  • Review and validation of AI-generated results
  • Use of familiar specialized analysis applications

START WITH YOUR DATA

See what AI can achieve with your engineering measurements.

Choose a representative dataset and use case. We'll explore the data access, analytical workflow and practical implementation options together.

Connected solutions

You can click on the links to get more information about each component 

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