Ask your data a question
Get the answer, not a place in the queue.
Decision intelligence without the six-figure contract. Type a question the way you would ask a colleague, and AskEdi works out which analysis it needs, runs the real statistical test behind it, and writes back a plain answer with the evidence attached. When your data cannot support a conclusion, it says so instead of making one up.
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. Integrate profiles your schema and scores its quality. Transform cleans it. AskEdi is where you finally get to ask.
Five Kinds Of Decision Intelligence
The AI writes the query.
Real statistics do the maths.
Ask why something moved and you get a regression with a significance test. Ask what happens next and you get a trend model. Ask what if and you get a sensitivity measured from your own history. You never pick which one - your question decides, and the calculation runs in code before the AI writes a word.
"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."
Ask what you should do
You get a specific action, the figure it rests on, what it is worth if it works, and how confident to be - high, medium or low, worked out from the numbers rather than claimed.
Ask why it moved
Segments are ranked by how much of the change each one actually accounts for, then tested to see whether the gap between them is real or just this month's noise.
Ask what happens if
Say a price rises 5% and you get the projected effect, worked out from how the two have moved together in your own history rather than a rule of thumb from someone else's business.
Ask what comes next
A trend has to pass a reliability test before any number is shown. If it does not pass, you are told there is no dependable trend rather than handed a figure with a hedge attached.
Ask whether two things are related
For questions with no number in them at all, just categories, AskEdi runs the statistical test that answers whether a shift in the mix is genuine or the sort of wobble you would expect anyway.
Every one of these runs the real test, not a guess at what the answer probably is. The AI never works out a number itself. It describes one that was already calculated, so it cannot round a figure in its favour or invent a percentage that was never computed. When a result does not clear the bar, that is what the answer says.
Watch One Run
This is the whole product. A question, and an answer.
Nobody builds anything first. A question goes in, the analysis runs, and what comes back is written up with the evidence attached, charts included.
When The Data Does Not Hold Up
The most useful thing it does is refuse to answer.
Any AI can produce a forecast. What matters is what happens when your data cannot support one. Here is a real answer with the number deliberately missing, and the reason it was held back.
"What will on time delivery rate look like next month?"
"No statistically reliable trend was found. Any projected value should be treated as a low-information extrapolation, not a forecast to act on. Monitor the current run rate and revisit once the next period's actual value is available."
Why it stopped
Written by the system, not the AI
Eleven months of history was not enough to tell a real trend apart from ordinary month-to-month noise. So rather than show a number and caveat it, AskEdi held the number back.
The working, as AskEdi records it:
Your analyst would check exactly this before trusting a forecast. The difference is that here it is checked every time, and no way of rephrasing the question talks AskEdi past it.
Answers For Your Job
Ask like yourself.
Get an answer for your role.
A finance lead and a growth lead can ask the same question and get different answers from the same table, because AskEdi frames the response around the metrics your role actually works with. It uses the job title on your profile and your industry, so an ambiguous column is read the way your business means it.
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
Your industry, not analytics in general
Your workspace industry sits behind every role - retail, software, healthcare, finance, and others. It decides which words an answer uses and which numbers it leads with, so the same question put by the same job title lands differently in a hospital than it does in a shop.
The Queue, Removed
Five steps to an answer. Then there were none.
Nothing here is faster because an AI types quickly. It is faster because the question stops travelling to someone else and back.
You type the question and read the answer.
The segment breakdown is already in it, ranked by how much each one contributed. So is the test result telling you whether the movement is real. So is the next question worth asking.
Rows sent to any AI
In every privacy mode, on every plan
Credit per question
However many statistical tests run behind it
Languages, both ways
Typed or spoken, asked and answered
Credits with your own key
Every month, and on every add-on pack
Not Knowing What To Ask
The hard part was never the typing. It was knowing what to ask.
Most people stall at the blank box. Every one of these exists to get you past it, and none of them cost anything to use.
Four questions are waiting when you open a chat
AskEdi reads the table and columns you picked and writes four questions worth asking of them - two that come back as writing, two that come back as a chart. Click one, or ignore them and type your own.
The next question is already written
Every answer arrives with one follow-up based on what it just found. It is usually the question you were about to type, which is how one question quietly turns into an actual investigation.
Say it instead of typing it
Talk and your words appear in the box. You read them back and send when you are ready - a pause never fires a question by itself.
Nineteen languages, both directions
Ten Indic and nine international. Ask in yours and the answer comes back in it, charts and all, not just the buttons around them.
Point at the exact column
Type @ to search columns by name or by what they hold, then drop one into your sentence. For when three columns sound alike and you mean one.
Where Your Data Actually Goes
The AI writes the question down.
It never sees the answer sheet.
This is the part your security team will ask about. The AI turns your sentence into a query and never receives a row of your data. Edilitics runs that query. The results travel from your database to your screen without passing through the AI on the way.
A question outside your table costs you nothing
Your question is read before anything touches your database. If the table and columns you picked cannot answer it, you are turned back at this point with an explanation and some questions that would work instead.
Nobody has to trust the AI with your rows
The query gets written from your column names, types, descriptions and quality scores. Not one value from inside your data is sent while it is being written, on any plan, in any mode.
An empty result is explained, not drawn
When a question genuinely returns nothing, you get a sentence telling you so. Not an empty chart you have to work out for yourself, and not a number invented to fill the gap.
Pick the AI that answers you
It can read your data. It cannot change it.
Choose a provider when you start a chat and it stays fixed for that conversation. Whichever you pick, the query it writes has to start with SELECT and cannot contain a second statement, so nothing it produces can write to, delete from, or alter your database.
Three Privacy Modes
You decide what the AI sees.
Before you ask.
Pick a mode when you start a chat and it holds for every question in it. All three send your table name, your column descriptions, their types, their quality statistics, and your role and industry. None of the three send a row of your data.
Private Mode
Your column names are swapped for col_1, col_2 before anything is sent, and the real names go back in before the query runs. Nothing carries between questions either, so one answer never becomes context for the next.
Balanced Mode
Our recommended setting, unless your column names are themselves sensitive. The AI gets your real column names alongside everything the strict mode sends, which is enough to write an accurate query. It still never sees a value from inside those columns.
Full Context Mode
Everything Balanced sends, plus the values that come up most often in each column, and the previous answer so a follow-up builds on it. Useful when the answer depends on knowing which categories exist.
Bring Your Own AI Account
Already pay for AI somewhere else? Point it here and ask twice as much.
Add your own provider key and every AI feature in the workspace runs through your account instead of ours. Your analysis credits double every month it stays active, and any add-on pack you buy credits at double too.
Analysis credits, every month your key is in
Applied on every monthly reset, and to any add-on pack you buy while it is active. Adding a second or third provider does not stack it further.
Four providers to bring a key from
Tested against your account before it saves
Checking The Answer
Every number comes with its own receipt.
You can see the query that ran against your data and the statistical working behind each figure, without asking anyone for database access.
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
Your real column names put back in after the AI wrote the query, before it ran
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.
What You Are And Are Not Charged For
No surprise bill. No surprise access.
Credits are pooled, failures are not charged, and the balance stops at zero rather than running over.
You pay for analyses, not attempts
Nothing is taken if the AI provider fails, if it comes back with nothing usable, or if your question was outside what the table could answer. Once the analysis actually runs it counts, whether or not you liked the result.
Your rows are never stored here
Queries run against your source and the results come back to your session. Nothing is copied into Edilitics, warehoused, or kept after you close the chat.
Send the answer, not the keys
Share a chat and a colleague reads the whole thread, every chart included. They can download it and export the numbers. They cannot ask a new question, and they cannot spend your credits.
It leaves as a deck, not a screenshot
Download one answer or the entire conversation as a PDF or PowerPoint file with the charts in it, ready to put in front of someone without rebuilding any of it.
One table per chat
Each conversation is fixed to a single table and the columns you chose. Nothing can quietly reach across into data the chat was never pointed at.
Credits pool across your team
On Team plans the whole workspace draws from one balance, so the person with ten questions this week is not blocked while a quieter colleague's allocation goes unused. It stops at zero and tells you, rather than running over into a bill.
Sharing an answer covers the question that just came up. For the views your whole team needs every week, Visualize builds dashboards on the same governed tables, so the numbers agree wherever anyone reads them.
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.