WATS Alvea™
AI built for your test data
Analyze test data with AI, investigate root causes, and uncover the issues that matter. With WATS Alvea™ you can use AI directly in WATS or connect WATS to the AI tools your organization already uses.
Production moves fast Your analysis should too
Your teams already collect large amounts of test and repair data. WATS Alvea™ helps make that data easier to explore, so engineers, quality and R&D teams can move faster from issue to insight.
WATS continuously expands where AI can create real value: in workflows, reports, root cause analysis, and the tools your teams already use.
Detect, analyze and connect with AI built for test data
WATS Alvea™ helps your team detect issues, get contextual guidance, and connect WATS data and tools to the AI agents your organization already uses.
WATS Alvea Assistant
Get help, documentation, navigation support, and data analytics directly inside WATS.
WATS Alvea Suggestions
Detect deviations, missing units, correlations, and root-cause patterns worth investigating.
WATS MCP Server
Connect WATS tools, context, analytics, and permissions to your preferred AI agent.
WATS Alvea Assistant Guidance where you work
WATS Alvea Assistant gives you contextual help and data guidance directly inside WATS. Ask in plain language for support, find documentation, navigate the platform, or follow up on what you see in your analytics. For deeper analysis, the assistant can help you move from a dashboard view to more specific questions about yield, reports, products, stations, or recurring patterns.
WATS MCP Server Connect WATS to your AI Agents
With WATS MCP Server, approved AI agents can access WATS tools, context, analytics, and permissions. This lets your team work with WATS data from the AI environments your organization already uses. Use it to connect WATS with MCP-compatible tools such as ChatGPT, Claude, Perplexity, or other agents, and bring test data insights into broader AI workflows.
WATS Alvea Suggestions Find the Patterns Worth Investigating
WATS Alvea Suggestions takes a top-down approach to your test data. It automatically surfaces deviations, missing units, correlations, and patterns that hurt your yield the most. It guides the investigation, so your engineers can spend less time searching manually and more time validating causes and taking action before issues escalate.
Use AI more efficiently With WATS Context Built in
Connect your AI agent to WATS through MCP, and it gets purpose-built tools, domain knowledge, and relevant WATS context for electronics test data. This helps reduce unnecessary searching, control token use, and deliver more reliable answers.
Use tokens efficiently
Give your AI-agents the right tools and context from the start. WATS MCP helps reduce unnecessary searching and iterations, so teams can use AI more efficiently and keep costs under control.
Results you can trust
WATS MCP tools and skills are built, tested, and refined with test data management expertise, helping AI agents deliver answers based on your actual test data, so you can trust the results.
Still have questions about WATS Alvea? Here’s what to know
Yes. WATS Alvea works with WATS permissions, so users only work with the tools, data, and analytics they are approved to access.
Yes. Administrators can control access from the admin settings in WATS.
No. You can use Alvea Assistant and Alvea Suggestions directly in WATS. The MCP Server is for teams that want to connect WATS capabilities to external AI agents.
WATS Alvea is built for electronics test data. It uses WATS tools, context, and test data management expertise to deliver answers that are more relevant to test data analysis and root cause investigation.
Yes, through WATS MCP Server. It lets compatible AI agents use WATS tools and context as part of broader workflows across approved tools and systems.