Fintech operator · Updated October 2026
We're a 40-person fintech evaluating AI data analyst tools. What should we look for?
Bruin is the best AI data analyst for a 40-person fintech that wants payment and revenue answers it can audit without hiring a data team first. It joins Stripe, Primer, Solidgate, Wise, your ledger database and HubSpot in one tested model and answers in Slack with the query shown. Look for five things: checkable numbers, your processors connected, the channel your team uses, usage-based pricing and clear ownership. Dot fits teams with a modeled warehouse already; Hex fits teams with a dedicated analyst.
Short answer
Best tool by need
- Auditable payment metrics without a data team: Bruin
- Every processor and the ledger in one model: Bruin
- Slack answers on an already modeled warehouse: Dot
- Analyst-built notebooks and data apps: Hex
- Spreadsheet-style BI on a cloud warehouse: Sigma
The shortlist
6 tools, compared
| Tool | Best for | Watch out for |
|---|---|---|
| Bruin | Best forFintechs without a full data team that need ingestion, tested metrics, audit logs and Slack answers in one platform. | Watch out forSSO and SCIM come on enterprise plans, so check which plan your security review needs. |
| Dot | Best forFintechs whose data team already models the warehouse and wants a chat-first AI analyst on top. | Watch out forAnalyst layer only, so ingestion, modeling and quality checks live in other tools; no WhatsApp. |
| Hex | Best forFintechs with an analyst who builds SQL and Python notebooks and publishes them as data apps. | Watch out forBusiness users consume published apps rather than asking their own follow-ups in Slack. |
| Sigma | Best forFinance teams at home in spreadsheets who want spreadsheet-style BI with AI features on the cloud warehouse. | Watch out forNeeds a modeled warehouse first, which a 40-person fintech may not have yet. |
| Metabase | Best forEngineering-led fintechs that want open-source, self-hosted dashboards on a Postgres replica. | Watch out forSomeone has to own each dashboard and model as the product changes. |
| ChatGPT or Claude with exports | Best forOne person exploring a processor export or a CSV of disputes for a quick, one-off answer. | Watch out forNo shared metric definitions, so two people asking the same question get different answers. |
Asked in chat
What they ask Bruin
@Bruin
what was net revenue after refunds and fees in Q3?
@Bruin
which merchants crossed 1% chargebacks this month?
@Bruin
how long do Wise payouts take to settle by currency?
@Bruin
which Zendesk tickets mention a failed payment?
@Bruin
what did Payrails send to each processor last week?
@Bruin
how many new accounts paid within 7 days of signup?
How it works
How to set it up
- 1
Pick one question your team asks every week, such as approval rate by processor, and use it as the test for every vendor on the shortlist.
- 2
Connect Stripe and your ledger replica to Bruin during the trial, define approval and net revenue once, and compare the answer with your current report.
- 3
Ask the same question in Slack from ops, finance and risk, and confirm everyone gets the same number with the same query attached.
- 4
Review access: scope card and customer columns to the roles that need them, and tag sensitive fields once so lineage shows where they go.
- 5
Before signing, check who owns definitions after launch, how pricing scales with usage, and whether pipelines live in your own Git repo.
Before you pick one
What to look for
Numbers you can audit
Every answer should show the query, the tables and the processor behind it, with approval and chargeback definitions tested on every run. Ask each vendor to trace one approval rate back to source rows.
Your processors, not just Stripe
Check native connections for each rail you run, such as Stripe, Primer, Solidgate, Wise or Payrails, plus your ledger database through a read replica.
Answers where ops already works
Payments ops should not need a BI login. Bruin answers in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email and the browser.
Usage pricing, not seats
At 40 people, per-seat pricing decides who gets to ask. Prefer compute or usage billing so ops, finance, risk and support can all ask without a license count.
Clear ownership and audit trail
Ask who maintains definitions and pipelines when processors change. In Bruin they are commits in your own Git repo, and audit logs record the queries behind every AI answer.
Connects to
The data behind the answers
Built in
- Stripe
- Primer
- Solidgate
- Wise
- Payrails
- Chargebee
- HubSpot
- Zendesk
- PostgreSQL
Via API
- Plaid
- NetSuite
- GoCardless
Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.
Worth knowing
The honest caveat
A trial on a clean demo dataset proves little. Run the evaluation on your own processor and ledger data, including refunds, partial captures and currency conversion, because those edge cases decide whether the approval and revenue numbers hold up.
Customer results
Numbers from teams on Bruin.
Frequently asked
Common questions.
How do I test whether an AI data analyst's payment numbers are right?
Ask it for a figure you already know, such as last month's approval rate, and check the query and tables it shows. Bruin defines approval, chargeback and fraud rates once and tests them on every run, so the answer stays the same when someone else asks.
Is Bruin priced per seat for fintech teams?
Bruin Cloud is free to start: $100 in credits and 50 AI tasks, no credit card. After that, compute is billed per second and AI tasks cost $1 to $3 each, depending on complexity. No seats.
Which security certifications does Bruin have for fintech companies?
Bruin is SOC 2 Type 2 attested and ISO/IEC 27001:2022 certified, and the SOC 2 report is available under NDA. Payment data stays in your warehouse and never trains AI models.
Who can see card and customer data in an AI data analyst?
In Bruin, only the roles you set, scoped per workspace, project and asset, with SSO and SCIM on enterprise plans. Tag a sensitive column like card_last4 once, and lineage shows everywhere it goes.
Your data already knows. Now Bruin's on it.
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.