Explore insights and make decisions just by asking.
30 minutes · tailored · no sales script
Talk to your data as easily as chatting with a colleague. Fovea goes beyond traditional chat-based analytics. It understands business context, interprets intent, and reasons across enterprise data to deliver insights grounded in governed, trusted information.
From question to answer in three steps — no setup, no training, no waiting.
Type any business question in plain English, or choose from Fovea's suggested questions based on the data you have open. No training required.
"What were my top 5 revenue regions last quarter?"
Fovea reads your data structure, understands the business context, and determines the right calculation, aggregation, and chart type to answer your question accurately.
Connects to live data, applies filters, selects the best visualization
Get an instant answer: a chart, table, or summary, with follow-up suggestions. Pin the visualization to any dashboard or export it to a report.
Answer delivered in seconds. One click to add to your board.
Deeper Insight
Insights should explain why a business outcome occurred, not just report what happened. Conversational Insights surfaces contributing factors, trends, anomalies, and relationships behind business outcomes.
Drill deeper through follow-up questions
Continue the conversation to explore root causes and contributing factors without restarting the query.
Analyse trends conversationally
Track changes over time, across dimensions, and across periods through natural dialogue.
Investigate anomalies interactively
Ask Fovea to explain unexpected spikes, dips, or patterns surfaced in your data.
Understand root-cause drivers
Surface the factors behind business outcomes, not just the headline number.
Explore across dimensions and time
Slice metrics by region, product, team, or period, all within a single conversation.
What were our top products last quarter?
Top 3 products by revenue, Q1 2025:
Revenue up 14% vs Q4 2024. APAC leads growth.
Show by region
Ask a follow-up question...
Agentic AI Reasoning
Fovea's Agentic AI doesn't execute isolated prompts. It handles complex analytical workflows through intelligent, multi-step reasoning. Break down sophisticated business questions and get structured, well-reasoned responses.
Fovea decomposes multi-part business questions into logical analytical steps before generating a response.
Agents pull in the most relevant datasets, definitions, and metadata context for each part of the question.
Cross-source analysis happens automatically. Fovea connects the dots across your entire data estate.
Business rules, metric definitions, and governance policies are applied at every reasoning step, not just at the output.
Outputs are structured, contextual, and grounded in your data. Not generic AI summaries.
Multi-dataset joins, time comparisons, dimensional breakdowns: handled naturally in conversation.
Conversational Insights tailors responses to each user's role, permissions, departmental context, and frequently used metrics, so every team gets insights relevant to their specific priorities, not a one-size-fits-all view.
Get instant KPI summaries before a meeting without waiting for the BI team. Ask 'What is our revenue vs target this month?' and get a clear, current answer in seconds.
Run ad-hoc queries on live data without writing SQL. Build new chart types in seconds and explore datasets you've never had time to dig into manually.
Ask root-cause questions like "Why did OEE drop during the morning shift?" and get breakdowns by machine, operator, and downtime reason. Not a raw data dump.
Free analysts from repetitive, low-complexity queries. Every question answered by Fovea is one less ticket in your backlog, letting the team focus on high-value modelling.
These are the kinds of questions Fovea answers instantly. The ones that used to take days to get from your BI team.
Traditional BI tools answered the questions you thought to build dashboards for. Conversational analytics answers the questions you have right now.
| Dimension | Conversational Analytics (Fovea) | Traditional BI |
|---|---|---|
| Time to answer | Seconds, on demand | Minutes to hours, depending on complexity |
| Who can use it | Anyone in the business | BI team or analysts |
| Requires SQL | No | Usually yes |
| Follow-up questions | Context-aware, instant | New request to the BI team |
| Dashboard creation | Via natural language | Manual build |
| Insight discovery | Proactive suggestions from Fovea | Defined by whoever built the report |
Governance-First AI
AI-generated insights are only valuable when they're trustworthy. Conversational Insights operates on governed enterprise data, using catalogue metadata, lineage, definitions, and access controls to keep every response accurate, consistent, and safe. It works inside your enterprise governance framework rather than as a disconnected AI layer.
Consistent metric interpretation
Business terms and KPIs resolve to the same definitions every time. No ambiguity, no conflicting numbers across teams.
Reduced ambiguity in business terms
The business glossary ensures 'revenue', 'churn', and 'active customers' map to the correct data assets, not guesses.
Controlled access to sensitive data
Row-level security and column masking are enforced automatically. Fovea never surfaces data the user isn't permitted to see.
Alignment with governance policies
Fovea operates inside your governance framework. Certified datasets are prioritised over uncertified ones in every response.
Greater confidence in AI-generated insights
Responses are grounded in documented, governed data, so business users can act on them without second-guessing the source.
Always Improving
Fovea's Agentic AI continuously improves through interaction and contextual learning, becoming more accurate and useful the more your organisation uses it.
Industry-specific and company-specific language is understood over time, reducing misinterpretation of business questions.
Patterns in business questions help Fovea anticipate needs and proactively suggest relevant follow-ups.
Preferred breakdowns, common filters, and recurring metrics are learned to improve future responses for each team.
As business priorities, structures, and metrics evolve, Fovea's understanding evolves with them. Automatically.
Agentic suggestions become more relevant as the AI learns what matters most to each role and workflow.
When users follow up, rephrase, or correct a response, Fovea uses those signals to sharpen its interpretation of similar questions going forward.
Book a live demo and watch Fovea answer real business questions against your actual datasets. In plain English, in seconds.
Ready to see Infoveave in action?