Athenic AI

Athenic AI — Your Team's Go-To Data Insights Tool

Athenic AI is an AI-powered data analysis platform designed to empower business users to analyze structured data using natural language. It enables users to talk to their data, generate insights, and build visualizations without requiring deep technical expertise or heavy reliance on IT. The solution emphasizes ease of use, fast insights, and scalable analysis for organizations ranging from startups to Fortune 500 companies.

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How it helps your team

• Turn data into actionable insights quickly by asking natural-language questions.
• Create beautiful charts and visualizations just by talking to the AI.
• Get explainable results with transparency about how the AI arrived at conclusions.
• Reduce dependency on traditional dashboards and IT to generate ad hoc reports.
• Scale data analysis across elite teams with enterprise-grade features and security.

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Target users

• Business analysts and decision-makers who want fast, interpretable insights.
• Managers seeking to monitor KPIs and investigate trends without writing SQL.
• Data teams looking to empower non-technical users with self-serve analytics.

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Key Capabilities

• Natural language data analysis: Ask questions and receive insights without writing code.
• Visual analytics: Generate charts and dashboards through conversational prompts.
• Explainability: Understand how AI derives answers, including data lineage and rationale.
• Custom AI for your data: Tailor models to your specific data schema and terminology.
• Follow-up and guided exploration: AI suggests follow-up questions to refine insights.
• Cross-functional data support: Works with multiple data sources and tables in a unified context.

• No-code natural language querying for structured data
• Auto-generated charts and visualizations from natural language prompts
• Explainable AI: transparency into data sources, transformations, and reasoning
• Custom AI models tailored to your organization’s data
• Guided, iterative analysis with suggested follow-up questions
• Enterprise-ready security, governance, and data controls
• Multi-source data integration and context-aware analyses
• Shareable insights and reports suitable for business stakeholders

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How it works (high level)

1. Connect your data sources and define key terms relevant to your business.
2. Ask questions in natural language (e.g., "What are the top regions contributing to Model A sales in 2023?").
3. Receive insights, including charts, tables, and explanations generated by AI.
4. Refine results with follow-up questions or create shareable dashboards.

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Use Cases

• Sales analytics: identify top-performing regions, products, and timeframes.
• Marketing insights: measure campaign impact, audience segments, and trends.
• Operations and finance: monitor costs, revenues, and margins with rapid ad hoc queries.
• Product analytics: track feature adoption and user behavior through natural-language prompts.

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Safety and Best Practices

• Define terminologies and data terms to improve accuracy and context.
• Validate AI recommendations with your domain knowledge and governance policies.
• Use role-based access and data safeguards for sensitive information.