Every BI tool adds AI to explain your dashboards.
We use AI to build them.
Say what you want to understand and get back a set of charts that answers it, chosen for your role and built only from columns your data can actually support. Pick the ones you want and they land on the dashboard, ready to share.
Someone asks for a dashboard on Monday. It arrives late, the chart types are wrong, and the axis labels are raw column names nobody outside the data team recognises. So they go back to the spreadsheet, and the dashboard nobody trusts quietly stops being opened.
The gap is never the charting. It is that whoever builds it has to work out what you meant, and whoever asked has to wait. Describe what you want to understand and Visualize proposes the charts that answer it, using the definitions your team already locked in Integrate and Transform.
Ask, Then Approve
Describe what you want to know.
Get the charts that answer it.
Every suggestion arrives with the fields and chart type already chosen from thirty available, plus a line explaining what it would tell you, so you are approving a set of answers rather than assembling one chart at a time.
4-Step AI Wizard Workflow
From metadata analysis to canvas-ready charts
Pick your columns
Tick the fields worth looking at. You can read and correct what each one means first.
Say what you want to know
A sentence is enough. Every chart that comes back is aimed at that question.
Decide what the AI sees
Three settings, from hiding your column names to sharing your most common values.
Keep the ones you want
Charts arrive built and explained. Tick the useful ones and they land on the dashboard.
Private Mode
Your column names are replaced with placeholders before the request leaves your workspace. The AI still knows what each column means and how clean it is, so the charts it suggests are still the right ones.
Balanced Mode
The AI sees your real table and column names, so the charts it suggests are named the way your team already talks about the data.
Full Context Mode
Everything Balanced sends, plus the handful of values that come up most often in each column, so filters and groupings use categories that actually exist in your data.
Built Around The Question
A dashboard that reads like an argument,
not a wall of charts.
Suggestions arrive as a set that reads in order, the first chart establishing what happened and each one after it explaining why, framed around the questions someone in your job actually gets asked.
Finance
Where margin actually went last quarter, and whether the trend holds if nothing changes
Growth
Which channels are bringing customers who stay, and which are quietly burning budget
Operations
Where things are slowing down, and whether it is one bad week or a pattern
It Picks Up Where You Left Off
The charts already on your dashboard go in with the request, so what comes back builds on them rather than repeating them. Ask again and you get the next angle, not the same four charts in a different order.
Columns your data cannot support are left out before anything is suggested, using the quality scores Integrate already worked out when the source was connected.
Why The Numbers Agree
You cannot invent a metric inside a chart. On purpose.
Most BI tools let anyone write a formula into a chart, which is how one company ends up with four different revenue figures, so Visualize has no formula box at all and every chart reads a definition shaped once in Transform.
Where does revenue get defined?
In each chart, by whoever built it
Once, in Transform, before any chart exists
Can two dashboards disagree?
Yes, and usually nobody notices until a meeting
No, both read the same table
Who can change what a number means?
Anyone with edit access to a chart
Only someone editing the pipeline it comes from
What happens when the logic changes?
Every chart using it has to be found and fixed
Change it once and every chart follows
Does AskEdi agree with the dashboard?
Different tool, different definitions, no guarantee
Same table, same answer
Two Screens, One Job
Build the chart.
Then arrange the page.
Charts are built one at a time on their own screen, then dragged onto a canvas with your logo and notes, so the thing you hand to a board looks like it was designed rather than exported.
Sheet View
Pick a table, drag the fields you want onto the chart, and watch it redraw against your real data as you go.
Dashboard View
Drop your finished charts onto a page, add your logo and a few notes, and arrange it the way you want it read.
Filters Viewers Can Use
You choose what they can change
You decide which filters viewers get to touch. They can then narrow by category, by amount, or by date themselves, without asking you to rebuild anything.
It Keeps Itself Current
Everyone sees it update
Set how often it should refresh and new figures appear for everyone looking at it, without anyone having to reload the page.
Nobody Needs Training
A tour on first open
A guided walkthrough sits in the corner for anyone opening this for the first time, from picking a source through to sharing it. Dismiss it, or bring it back whenever you want.
Live, Not a Mockup
This is a dashboard. Built in minutes.
Revenue against target, where deals are being won and lost, and how the team is tracking, laid out the way someone actually builds one rather than the way a demo is staged.
Total Revenue
₹14,87,740
6.8% vs last year
Orders
3,372
6.8% vs last year
Avg. Order Value
₹442
2.1% vs last year
Growth
18.4%
3.2% vs last year
Revenue Trend
Last 12 daysSales Funnel
This quarterSales by Region
Quota Attainment
Deal Source
Won vs LostTeam Performance
What Actually Changes
The dashboard you asked for on Monday, before lunch on Monday.
This is not faster charting software, it is the person with the question getting the answer themselves, without a brief, a queue, or a translation step in between.
Asking for the dashboard
Write a brief, send it on, hope it was understood
Type the question you actually want answered
Choosing the charts
Someone decides for you, based on what they think you meant
Charts arrive built, each with a line on what it would tell you
Getting it wrong the first time
Wrong chart types, raw column names on the axes, start again
Keep the useful ones, discard the rest, ask again for the gaps
The follow-up question
Back in the queue behind everyone else's request
Ask again and the next set builds on what is already there
Reading it in a meeting
Someone talks the room through twelve charts
One written summary of what stands out and what changed
Getting it to a client
Export to slides, and it is out of date by the time it lands
Send a link, or put the live dashboard inside your own product
Rows sent to any AI
It sees your structure, never your values
Credit per set of suggestions
A whole dashboard proposed, not one chart
Chart types available
Chosen for you from what the data returned
Day evaluation
No card required to start
Where Your Data Stays
Your records never move.
Only the answers do.
Edilitics keeps your dashboard layout and the totals each chart displays, never the rows underneath, so cancelling your account leaves your data exactly where it already lives.
We Never Hold Your Records
What a chart needs is a handful of totals, not the thousands of rows behind them. Those totals are what we keep, and your actual records never leave the database they are already sitting in.
Fast To Open, Fresh When It Matters
Those totals are held encrypted so a dashboard opens instantly instead of re-querying your database every time someone looks. They refresh on the schedule you set, or the moment you ask.
Embeds Only Work Where You Say
An embedded dashboard only loads on the sites you have listed. Take a site off the list and it stops working there, and deleting the connection behind it switches every embed off at once.
Leaving Costs You Nothing
Your dashboards read from your own database. Change warehouse, rebuild your stack, or close your account entirely and your data has not moved, because it was never anywhere else.
One Read Of The Whole Board
Your dashboard, read back
in plain language.
Click Summarise and the AI reads every chart together, telling you what stands out, what broke the pattern, and what changed since last time, with a link to the chart behind each point.
Not a caption per chart
Summarise PanelThe AI reads every chart on your published dashboard, connects what they show together, and produces a structured executive summary. Not a description of each chart - a read of the whole picture.
Executive Overview
One paragraph. The single most important finding across all charts, ending with the action it points to.
Key Findings
Up to 7 cross-chart insights, each rated High, Medium, or Low significance with a View chart link.
Anomalies
Up to 5 observations that break the expected pattern - flagged before you spot them yourself.
Revenue is up 11% month-over-month, driven entirely by the Enterprise segment. Mid-market conversion has declined for the third consecutive period, offsetting 40% of the gain. Prioritise Mid-market re-engagement before the enterprise uplift plateaus.
Enterprise accounts generated 64% of revenue from 12% of customers this month. Concentration is increasing - top 3 accounts now represent 31% of total ARR.
Refund rate in the EU region is 3.4x the dashboard average this period. No corresponding spike in support volume - likely a payment gateway issue rather than product dissatisfaction.
Current State
What your data shows right now
Summarises every chart as it stands today. Executive Overview, Key Findings, and Anomalies. Use this before a meeting, at the end of a reporting period, or any time you want the whole dashboard in one read.
Comparison Mode
What changed since a prior date
Pick an earlier refresh date from the dropdown and the summary adds two sections to the standard read.
Saved Analyses
Every summary you run is saved and retrievable without paying again. Open View past in the panel or Saved AI Analyses from the dashboard card on the home screen.
No raw data to the AI
Edilitics reads what is already drawn on each chart - the totals, segments, and trends already visible on screen - reduces it to a compact set of figures and labels, and sends only that. Your records, source credentials, and raw rows never leave your database.
1 credit per run
Each summary costs one analysis credit, drawn from the same pool as AskEdi. If you compare two dates and nothing has changed, Edilitics detects this and returns a no-change message - no credit charged, no AI call made.
Getting It To People
Send it to anyone.
Even people without an account.
Share inside your workspace, email a link that a client opens with a one-time code, or drop the dashboard straight into your own product with no login at all.
Share With Your Team
Colleagues can open the dashboard, change the filters, and take a copy for themselves, but the version you built stays exactly as you left it.
Send It Outside Your Company
Email a client or investor a link and they get a code sent to that address to open it. No account to create, and only the person you emailed can get in.
Put It Inside Your Own Product
Drop any dashboard straight into your customer portal or intranet. You list the sites allowed to show it, and it will not load anywhere else.
Start From One You Already Built
Duplicate a dashboard with every chart and setting intact, then point it at a different team or period. The copy is yours, and nobody it was shared with comes along with it.
We Keep The Layout, Not The Data
What we store is how the dashboard is put together: which charts, where they sit, and how they are filtered, plus the totals each chart displays. The rows behind those totals stay in your database.
Nothing Gets Stranded
Workspace admins can open and manage any dashboard in the organisation, so a report does not become unreachable when the person who built it is away or leaves.
The same governed data that powers your dashboards powers AskEdi. Dashboards for the standing views your whole team needs, AskEdi for the question that just came up in the room.
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.