AskEdi picks the right analysis
Root Cause, Forecast, What-if, or a decision. You just ask.
Ask a question about your data and AskEdi runs governed AI analytics - root cause, forecast, what-if, or a straight decision - not a generic chart. It tells you plainly when the numbers don't support a conclusion. No SQL. No data team. No guessing dressed up as an answer.
of business leaders can reliably generate timely insights
In 2025, only 49% of business leaders said they could reliably generate timely insights from their data, per Salesforce's Trust in Business Data Leaders Survey. The rest are waiting on a data team that, per a 2024 survey by The Modern Data Company, spends more than 63% of its time on maintenance - managing schemas, fixing data quality, patching pipelines - instead of answering questions. Every question that waits is a decision made on gut, on a spreadsheet, or not at all.
A governed semantic layer is the difference between an AI that guesses and one that answers correctly. Integrate builds that foundation - schema profiled, data quality scored, semantic layer validated. Transform cleans the data before AskEdi ever sees it. AskEdi exists so every question gets answered, accurately, instantly, without touching your analyst's queue.
The Analytics Engine
The LLM writes the query.
Real statistics do the math.
Every AskEdi answer runs through one of five statistically-grounded analysis types - regression with significance testing, chi-square tests, elasticity modeling - computed server-side in code, never guessed by the LLM. If the data doesn't support a conclusion, AskEdi says so and shows its work, instead of asserting one.
"Revenue declined 12% last quarter, driven by Region A."
"Region A's decline is statistically significant (regression p<0.05, 6 months of data) and contributes 71% of the total drop. Region C shows no reliable trend - forecast suppressed, insufficient historical variance. Reallocate to Region C only if you can tolerate that uncertainty."
Decision Intelligence
Recommended actions with scenario ranges and an explicit confidence level - high, medium, or low - justified by sample size and consistency, not asserted.
Root Cause Analysis
Contribution ranking plus a real significance test (regression p-value, ANOVA) decides whether a driver is a true cause or just the biggest number.
What-If Analysis
Elasticity is fit from your own historical data via regression where possible - never a flat industry guess dressed up as precision.
Forecasting
Trend forecasts run through a significance test before they're shown. If a trend isn't statistically reliable, the forecast is withheld - not hedged, withheld.
Category Comparison
Chi-square and two-proportion tests decide whether a mix shift is real or noise - for questions with no numeric metric at all, just categories.
Every one of these runs the actual test, not a keyword guess. The LLM never computes a statistic - it only narrates one Python already calculated. When a result doesn't clear the bar (insufficient data, no significant trend, no reliable driver), AskEdi says so and shows the reasoning, rather than filling the gap with a confident-sounding guess.
Role-Aware Intelligence
Ask like yourself.
Get an answer for your role.
AskEdi resolves your organizational role and shifts its reasoning identity to match. A CFO and a CMO can ask the same question and receive fundamentally different, role-appropriate analysis - from the same data. Every persona-aware response uses your validated metric definitions - what revenue, conversion, or churn means in your business specifically - not the AI's general knowledge of your industry.
CFO / Finance VP
Profitability, margin, burn rate, forecasting, IRR, capital allocation
CMO / Growth Lead
CAC, LTV, conversion paths, ROAS, customer segmentation
COO / Ops Lead
Efficiency, throughput, SLAs, dependencies, system health
Data / BI Analyst
Exploratory analysis, joins, distributions, schema investigation
Sales / RevOps
Pipeline health, quota conversion, churn, revenue forecasting
Product Manager
Feature adoption, retention curves, activation funnels, product-led growth metrics
Sector-Aware Reasoning
Every persona is grounded in your organization's focus sector - Retail, SaaS, Healthcare, Finance, and more. AskEdi uses industry-standard vocabulary and prioritizes metrics relevant to your business vertical, not generic analytics defaults. The same question gets a different answer not just by role, but by industry.
30+ Interactive Chart Types
The right chart.
Chosen automatically.
AskEdi doesn't ask you which chart to use - it picks the right one from the full set, based on what your data actually returned.
Full Client-Side Interactions
Zoom, toggle legends, activate tooltips, inspect axes - all browser-native. Zero backend calls after the initial render.
Autonomous Chart Selection
AskEdi evaluates data shape, cardinality, and question intent before selecting the correct visualization - no user configuration required.
Inline CSV Export
Export the underlying data for any chart directly from the chat window. Client-side, instant, no additional AI cost.
Trust and Governance
Every guarantee is structural.
Not a promise.
Fair-share billing. Zero vendor lock-in. Built in, not bolted on.
Zero-Cost Failure Accounting
Tokens are exclusively deducted when a chart or narrative is successfully rendered. DB timeouts and hallucinations are automatically refunded to you.
Zero Row Storage
We never ingest, warehouse, or persist your actual database records. Edi exists as a hyper-fast intermediary routing logic to your infrastructure.
PDF & PPTX Export
Export individual chart responses or entire sessions as polished PDF or PPTX files - including all interactive visuals and expert analytical narratives.
Peer-to-Peer Sharing
Generate a secure link to share active or historical sessions with verified peers. They can scroll the entire analytical lineage without recreating context.
Workspace Token Pooling
Analysis credits pool at the workspace level, preventing rigid per-seat limits from choking power-users while casual users leave credits unused.
Hard Stop Guarantee
When the workspace balance reaches zero, the chat input locks with a transparent warning. Zero overage charges. The barrier is physical, not advisory.
The Deterministic Engine
Two stages. One safety net.
Zero guesses.
AskEdi reasons only on schema metadata and validated definitions, never raw rows - guessing isn't an option.
Stage 1 - Intent Lock
Before your database is touched, AskEdi reads your question and decides exactly what kind of answer you need - a chart, a narrative, or a redirect. Wrong questions get caught here, not after your data runs.
Stage 2 - Query Synthesis
With intent locked, AskEdi generates the exact query for your database - without ever seeing your actual records. It reasons on your schema structure and data quality statistics alone today.
Safety Net - Empty Result Recovery
If your database returns no data for a question, AskEdi explains why in plain language rather than showing a blank or broken chart. Only fires when needed - never guesses or fills in values.
Glass Box AI
Not black box magic
Every answer shows exactly what the AI reasoned, exactly what ran against your database, and the statistical methodology note behind every number - side by side. Your compliance team can verify any answer without touching the data.
FROM public.users
GROUP BY col_4
FROM public.users
GROUP BY region
Plug-and-Play Intelligence
Read-only guard enforcement
Choose your AI provider and lock it for the session. AskEdi can only read your data - it is architecturally prevented from writing, deleting, or modifying anything in your database.
Three Privacy Modes
You control exactly what
the AI sees.
Every AskEdi session operates under one of three strict payload modes. In all three, your private company records are mechanically blocked from transmission to any LLM.
Private Mode
Column names are replaced with anonymous placeholders (col_1, col_2...). The AI calculates metrics without ever seeing your schema. Results are reverse-mapped post-inference.
Balanced Mode
Real column names and DQ statistics are shared for maximum analytical accuracy. Row-level data is mechanically blocked. The enterprise default for most organizations.
Full Context Mode
Top-frequency categorical values are included alongside schema, enabling deeper pattern recognition. Chat history is retained across the session for multi-step analysis.
Glass Box AI
Every answer is auditable.
Nothing is hidden.
Every answer traces back to a query and a statistical test - not just a narrative you have to trust.
FROM table_1
WHERE col_7 > '2024-01-01'
GROUP BY col_4
ORDER BY total DESC
LIMIT 10
Column names masked - your schema stays private
FROM public.sales_transactions
WHERE created_at > '2024-01-01'
GROUP BY region
ORDER BY total DESC
LIMIT 10
Real names substituted post-inference by backend reverse-mapping
Trend: OLS regression on 8 monthly points. Slope significant (p = 0.03, R² = 0.71) - forecast shown.
Driver ranking: contribution analysis across 4 regions, confirmed with one-way ANOVA (p = 0.01) - the gap is real, not noise.
Region D excluded from forecast: only 2 periods of history, below the reliability threshold.
Generated from the same numbers the narrative cites - the AI paraphrases this note, it cannot alter the sample size, the test used, or the result.
Guided Intelligence
AskEdi works with you.
Not just for you.
Five workflow features that make every session faster, sharper, and more precise - from the first question to the last drill-down.
AI-Generated Starter Prompts
Edi analyses your table structure and pre-generates suggested questions targeted at charts and narrative summaries - so you always know where to start.
Contextual Follow-Ups
After every response, Edi generates logical next questions based on the previous answer. Chain individual insights into a full analytical narrative.
@ Mention Precision
Type '@' to override LLM ambiguity. Selecting a column tag forces Edi to reason on your exact, explicitly chosen variables.
Persistent History
Resume any past conversation from your history. Sessions lazy-load as you scroll, preserving conversational continuity without memory bloat.
Client-Side Chart Interactions
Zooming, legend toggling, tooltip activation, and axis inspection are executed entirely client-side. Zero AI cost for any local chart exploration.
Audited Voice Interface
Ask in your language.
Hear the answer back.
Full voice I/O in 19 languages - reviewed before it ever runs, never auto-executed.
Voice Input (STT)
Real-time WebSocket transcription streams your speech into the input box. Auto-stops after 3 seconds of silence. You review and submit manually - never auto-executed.
Voice Output (TTS)
AskEdi reads AI responses aloud in your configured language. Responses are chunked and played sequentially with caching - so replaying an answer costs nothing.
19 Languages End-to-End
8 international and 11 Indic languages - both input and output. Chart titles and AI narratives are translated, not just the interface chrome.
Human Review Before Execution
Transcription appears in the input box. You read it, edit it if needed, then submit. No query fires on silence or automatic trigger - deliberate by design.
19 Languages, One Seamless Experience
Voice input and output both cover all 19 - no language is a second-class citizen in AskEdi.
Sharing & Collaboration
Share the answer.
Not the access.
Share any AskEdi session with a verified peer. They get full read-only access to every chart, narrative, and the Code Analysis View - enough to make a decision, not enough to run a query or consume your token quota.
Secure Session Links
Generate a link to share any active or historical session with verified organizational peers. They scroll the full analytical lineage without recreating context.
PDF & PPTX Export
Export individual responses or the entire chat session as a polished PDF or PPTX - ready for executive decks. Per-response export and full-chat export from the home screen.
Token-Isolated Viewers
Shared peers are strictly read-only. They cannot send new questions, change privacy modes, or consume the session owner's analysis credits.
Need standing views your whole org can see without asking a question? Visualize turns the same governed data into dashboards - AskEdi for the question that just came up, Visualize for the views everyone already needs.
Everything you need to know before you decide.
No sales call needed. If you have a question we haven't answered here, reach out directly.