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AI-Assisted Analytics

Structured for clarity. Primed for AI.

By organizing analytics around trusted metrics and business context, PowerMetrics makes it easy to adopt AI confidently—now or in the future.

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AI is moving fast.
Is your data ready?

AI tools are advancing quickly, and expectations are rising just as fast. But, most organizations still rely on data that lives in spreadsheets, loosely-defined reports, or raw tables—without shared meaning or consistent context.

When definitions vary, metrics often get re-created. And, when business logic lives outside the data, AI has no reliable way to understand what numbers actually represent. Decision makers become hesitant because they're concerned about accuracy, afraid of misleading outputs, and uncertain about whether AI-generated insights can be trusted.

Accurate AI relies on context

PowerMetrics takes a disciplined, metric-centric approach to AI—because context is what makes answers useful. Metrics are defined once, described in clear business terms, and enriched with context: where they come from, how they’re calculated, who owns them, and how they’re used.

Every metric, dashboard, goal, tag, data source, and user adds another layer of understanding. Together, they give AI the situational awareness of an expert analyst—helping it explain results, surface insights, and respond in ways that align with how your business actually works.

Ai Assisted Analytics

Millions of metrics visualized across 90K companies

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KNOWLEDGE GRAPH

Context that connects everything

PowerMetrics includes a knowledge graph that links metrics to their definitions, sources, owners, and usage. This shared context helps AI understand how numbers relate to each other—so insights are more relevant, explainable, and aligned with how your organization actually works.

Connected metrics

Relationships between metrics, dimensions, and dashboards are explicitly captured.

Built-in context

Definitions, ownership, and usage inform how AI interprets results.

Explainable insights

AI can reference the “why”, not just the output.

Gets better with age

As more content and context is added, AI becomes even more useful.

INTEGRATED AI

Ask lofty questions— get grounded answers

PowerMetrics includes built-in AI experiences that let teams explore data and get answers using natural language. Because AI works from clearly-defined metrics and shared context, responses are grounded in trusted numbers—not in guesses or raw tables. This makes AI useful for real analysis today, while keeping results explainable and reliable.

Natural language

Ask questions in plain business language and get visual, metric-based answers.

Context-aware results

AI understands definitions, calculations, and relationships—so answers stay aligned.

Guided exploration

AI helps surface trends, comparisons, and outliers without replacing human judgment.

Save and share insights

Turn AI-assisted exploration into dashboards or shared views for easy collaboration.

MEANINGFUL DATA

AI starts with data that actually means something

PowerMetrics makes meaning explicit by grounding analytics in clearly-defined metrics, consistent calculations, and shared business language. This structure gives AI reliable context to work from, reducing ambiguity and producing insights that are more accurate, explainable, and aligned with how your business understands its data.

Clear definitions

Clear definitions

Metrics include descriptions, calculations, and metadata that remove guesswork.

Consistent language

Consistent language

The same terms and logic are used everywhere, by people and AI alike.

Trusted by design

Certified metrics and centralized governance ensure AI works from approved numbers.

Built for reuse

Meaning follows metrics across dashboards, exploration, and AI interactions.

POWERMETRICS QUERY LANGUAGE

Programmatic access— with control

PowerMetrics includes a SQL-like query language called PMQL that lets you extend trusted metric data into other tools and workflows. Metrics are exposed as tables through a familiar SQL interface, making it easy to connect enterprise BI tools, data apps, notebooks, or orchestration systems—without deep integrations or custom plug-ins. Because PMQL operates on governed metrics from the catalog, integrations stay consistent, contextual, and aligned with how your business defines its data.

Metric-first queries

PMQL queries metrics and dimensions you’ve already defined—not underlying tables.

Familiar SQL syntax

Easy to adopt for technical users without introducing a separate data model.

Governed by design

Queries respect metric definitions, access rules, and certification status.

Automation-ready

PMQL provides a clean, structured interface for AI tools and workflows.

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MCP SERVER (BETA)

Connect AI tools directly to your metrics and context

The PowerMetrics MCP Server lets AI tools like Claude and Gemini query your metric catalog and knowledge graph, and use PMQL to retrieve metric data—all while respecting definitions, context, and access controls. This enables AI-assisted discovery, management, and analysis that’s grounded in trusted metrics, not in raw tables.
Want to try the MCP Server beta? Contact us

Deep associations

AI tools can explore relationships between metrics, dashboards, owners, and usage.

Data retrieval

Return metric data directly using governed, metric-first queries.

Standards-based

Designed to work with modern AI platforms like Claude and Gemini.

Safe by design

All access respects existing definitions, certifications, and permissions.

AI ASSISTANT (COMING SOON)

A familiar AI assistant— built on trusted metrics

The PowerMetrics AI Assistant brings a conversational interface directly into the product. Business users get clear answers and insights about their data, while admins and account managers can more easily manage metrics and other assets at scale. The AI can even act as a business coach to recommend metrics that align with business goals.Powered by the metric catalog, knowledge graph, PMQL engine, and documentation behind the platform, the assistant returns grounded results and can perform simple actions—without bypassing governance or trust.Available Spring 2026. Contact us for early access.

Conversational access

Ask questions in natural language and get clear, contextual answers grounded in trusted metrics and definitions.

Rich responses

Results can include text, visualizations, links, and references—making answers easier to understand and act on.

In-context actions

Perform simple, guided actions directly from the conversation, with confirmations that keep changes intentional and safe.

Business awareness

Set account- and user-level prompts so AI understands your business language, priorities, and assumptions.

METRICHQ INTEGRATION

Shared metric knowledge for your AI foundation

MetricHQ provides a trusted reference for common business metrics, covering what they mean, how they’re calculated, and when they’re used. By grounding AI in this shared metric knowledge, PowerMetrics helps ensure answers start from well-understood definitions—making insights clearer, more consistent, and easier to trust.
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Definitions and context

Definitions and context

MetricHQ explains common business metrics in plain language, including variations, edge cases, and real-world nuances.

Clear formulas

Clear formulas

MetricHQ clearly documents how metrics are calculated, making relationships easy to understand and explain.

Expert-sourced

Expert-sourced

MetricHQ incorporates input from independent experts with real-world experience.

Industry benchmarks

Industry benchmarks

MetricHQ provides real-world benchmarks—grounded in industry data, company stage, and credible sources.

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Recognized as a leader in next-gen analytics

Awarded front runner (Software Advice), high performer (G2), and category leader (GetApp) in Analytics and Business Intelligence.

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