AI data analyst
Supaboard is an AI data analyst
It answers questions about your data the way an analyst would — and shows its working, so you can tell when it is wrong.
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AI Data Analyst Software — Pricing and Limits
Supaboard connects to your business data, takes a question in plain English, writes and runs the query itself, and returns the answer with the chart, the numbers and the SQL that produced them. It starts at $83 per user per month billed annually, and a first analysis takes about 5 minutes: connect a source, ask a question. There is no modelling step to finish first.
What makes it an analyst rather than a text-to-SQL box is the context it carries between questions. 7 tuning surfaces per agent — identity, knowledge, memory, rules, table configuration, verified queries and skills — hold what your tables mean, what your business calls things, and which past answers were corrected. The query comes back with the answer, so the guess is auditable rather than trusted.
Looking for how this works in general rather than what we built? AI Data Analyst: How It Works and Best Tools (2026) covers it.
What it does
Four things a human analyst does all day, and the reason a seat here replaces some of that work rather than adding to it.
- Find the data. Your answer lives across a CRM, a billing system, a warehouse and three spreadsheets. An AI data analyst connects to them directly rather than waiting for a pipeline — Supaboard reaches 700+ sources, 123 of which you can connect yourself.
- Write the query. Not a keyword search over a modelled dataset, but real SQL against real schemas, joined correctly, filtered by rules that came from your business rather than from a guess.
- Explain the result. A number with no derivation is a rumour. The chart, the row counts and the query all arrive together.
- Do it again next week without being asked. 17 automation blocks and 2 trigger kinds turn a one-off question into a report that runs on a schedule or the moment a number crosses a line.
What you would use it instead of
Not your dashboards. A dashboard answers questions somebody anticipated, which is genuinely useful and why they are not going away. Supaboard is aimed at the other questions — the ones that arrive on a Tuesday, matter for an hour, and were never worth a ticket.
That is where analyst backlogs come from, and where most companies quietly give up and export to a spreadsheet instead. Supaboard does not replace a governed reporting layer. It removes the queue in front of the questions that never justified building one.
How to evaluate it against the alternatives
Most trials go wrong by testing the wrong question. Ask any tool something you already have a report for and it looks good, because the answer is a lookup. Test on the questions that never became reports — and apply these five checks to us as readily as to anyone else.
- Can you see the query? If not, you cannot tell a right answer from a plausible one, and nobody senior will sign off on the output.
- What happens on the second question? The follow-up is where a tool either carries context or starts over.
- How do you correct it? A tool you cannot teach will make the same mistake every week. Ask what happens to a correction after you make it.
- What does it cost when usage grows? Per-query and token-metered pricing punishes exactly the adoption you were trying to create.
- Can it reach your data at all, or does it need a warehouse first? A modelling project is a fine answer, but it should be a decision rather than a surprise.
Where Supaboard is the wrong tool
Three cases, and they are not rare. If a metric's definition is contested between teams, you need a governed semantic layer enforcing one answer, not a tool that produces a defensible number per question — Looker is built for that and we are not.
If you need pixel-precise paginated output that prints identically every month, that is a reporting product's job. And if your data is already modelled, clean and stable, and your questions do not change, a conventional BI tool is cheaper and you should buy one.
What it costs
Supaboard starts at $83 per user per month billed annually, with a 14-day free trial and no credit card. Setting up a first analysis takes about 5 minutes: connect a source, ask a question. There is no modelling step to finish first.
Every plan is priced per seat with usage credits included, so the cost of the fifth question in a session is nothing. SOC 2 Type II covers Business and Enterprise; HIPAA BAA is Enterprise, add-on on Business.
Teams who did this
Frequently asked questions
What does Supaboard cost?
$83 per user per month billed annually on Individual and $208 on Business, with a 14-day free trial and no credit card. Usage credits are included in the seat rather than metered per query, so the fifth question in a session costs nothing extra.
Does it replace our data analyst?
It replaces the queue in front of them, not the person. Modelling, data quality, and anything that has to stand up to an auditor still needs someone who knows the business. What changes is that they stop spending the week on ad-hoc requests.
Can it write to our database?
Supaboard cannot. The query layer rejects DDL and DML — DROP, CREATE, ALTER, TRUNCATE, INSERT, UPDATE, DELETE, GRANT, REVOKE and CALL — before a statement reaches your source, and we recommend pairing that with a read-only database user.
How do we know the answer is right?
You read the query. Every data-backed answer shows the sources it read, the SQL it ran and a confidence score, and a wrong answer can be corrected in place so the correction is kept as a rule.
Do we need a data warehouse first?
No. Supaboard connects directly to operational systems as well as warehouses — 700+ sources in the catalogue, 123 you can set up without talking to us. A warehouse helps, but it is not a prerequisite.