A chat-native analytics cockpit that turns questions into verified SQL and immersive, live graphs.
Potentia fuses agentic routing, schema-aware prompting, Bedrock SQL generation, and guardrailed execution to deliver real-time visuals. It raises the competency level of every analyst, regardless of experience, with NLP-to-SQL tooling that ensures consistently high-quality output. Ask a question, watch the agentic pipeline build the query, then interact with the graphs to steer the next insight. Every step is designed for confident, fast exploration.
SELECT hour_of_day, AVG(usage_kwh) AS avg_usage
FROM energy_insights
WHERE business_id = 'BIZ001'
GROUP BY hour_of_day
ORDER BY hour_of_day;
Visualization hint: time-series line chart
Every component is tuned for trustworthy answers, fast iteration, and immersive data exploration.
Every question is classified with confidence scoring so the right domain context is always in play.
Join hints, table descriptions, and few-shot examples keep SQL generation grounded and accurate.
Read-only validation, retries, and policy checks protect data while still moving fast.
Visualization hints and shape detection drive automatic chart selection and interactive dashboards.
Insights, summaries, and guided next steps keep the conversation focused and productive.
Graphs feed new prompts, prompts reshape queries, and saved views keep exploration continuous.
A cutting-edge chain of reasoning that is transparent, auditable, and optimized for data confidence.
Natural language queries enter a conversational memory that preserves constraints and context.
Queries are routed to the right domain with confidence scoring and fast fallbacks.
Table metadata, join hints, and business rules are injected before generation begins.
Few-shot examples and guardrails are blended into a domain-specific SQL prompt.
Bedrock models generate candidate SQL and refine it for clarity and performance.
Every query is validated for safety, read-only access, and schema compliance.
Queries execute with performance limits and caching strategies for repeat explorations.
Automatic insights, anomalies, and summary statistics are generated for every response.
Data shape drives chart selection so the right visualization appears instantly.
Follow-ups, saved graphs, and overrides feed the next prompt for rapid iteration.
Every stage emits metadata: confidence, SQL, visualization hints, row counts, and insights.
Safety filters, schema enforcement, and retry logic keep answers trustworthy at speed.
Insights and suggested follow-ups turn raw output into a narrative you can act on.
Parallel tools, timeouts, and retry budgets keep responses fast and predictable.
Seeded prompts and cached SQL outputs make audits and regressions repeatable.
If generation fails, the agent degrades to vetted templates or retrieval-backed queries.
Business rules, metric definitions, and join constraints prevent semantic drift.
Analysts can edit SQL, pin charts, and lock chart types when needed.
Every chart links to query text, model version, and source dataset.
Saved graphs, notes, and share links keep teams aligned on insights.
The interface keeps the conversation and the visuals together so analysts stay in flow.
The left panel captures intent, while the right panel auto-generates charts, tables, and insights. Follow-up suggestions are grounded in the current result set, making exploration feel guided and fast.
Auto-detects the best visualization, then hands control back to the analyst.
Perfect for usage by hour and day. Highlight peaks at a glance.
Summaries for weekly, monthly, and yearly trends with auto smoothing.
Side-by-side period analysis with clear deltas and annotations.
Multi-series usage layers that reveal baseload vs variable demand.
Spot relationships, outliers, and anomalies in seconds.
Distribution views for categories, rates, and efficiency mixes.
Instantly visualize baseload, peak demand, and variability.
Raw outputs ready for export, validation, and audit trails.
Insights move forward into visuals and backward into new questions, keeping analysts in a continuous loop.
User intent becomes executable SQL, then turns into charts and summaries.
Graph interactions and insights seed the next prompt and refine the scope.
Saved graphs, shared views, and annotations keep teams aligned on the same narrative.
Purpose-built components that keep the experience fast, safe, and deeply interactive.
Matches every question to the right domain and carries forward constraints automatically.
Hydrates prompts with schema, rules, and examples to improve SQL accuracy.
Validates and filters queries so results stay safe, read-only, and performant.
Chooses charts based on data shape, then allows overrides and annotations.
Summarizes trends, anomalies, and key deltas in human terms.
Stores curated explorations so teams can revisit and share findings.
Potentia pairs a powerful agentic NLP-to-SQL core with immersive graph exploration.