Fintech operator · Updated October 2026
What is the best AI data analyst for fintech companies?
Bruin is the best AI data analyst for fintech companies that want one tested number for payment volume, approval rate and revenue across every processor. It joins Stripe, Primer, Solidgate and Wise with your ledger database, billing and CRM, then answers in Slack with the query and sources behind each figure. Stripe Sigma fits teams that process only on Stripe and write SQL; Hex fits analysts building notebooks and data apps; ThoughtSpot fits larger companies replacing a legacy BI tool.
Short answer
Best tool by need
- Approval and failure rates across processors: Bruin
- Reconciling processor, ledger and bank data: Bruin
- SQL reports on Stripe data only: Stripe Sigma
- Analyst notebooks shared as data apps: Hex
- Enterprise AI search replacing legacy BI: ThoughtSpot
The shortlist
6 tools, compared
| Tool | Best for | Watch out for |
|---|---|---|
| Bruin | Best forFintech teams that want payments, ledger, billing and CRM data joined, with tested metrics and answers in Slack. | Watch out forIt reports on payments rather than routing them, so retry and routing logic stays in your payment stack. |
| Stripe Sigma | Best forFinance and ops teams that process only on Stripe and want to write SQL over their Stripe data. | Watch out forStripe only, so volume on Primer, Solidgate or bank rails stays out of view. |
| Payment provider dashboards | Best forChecking one processor's volume, disputes and payouts quickly, inside the console your ops team already opens. | Watch out forEach dashboard sees only its own volume, so cross-processor approval rates end up in a spreadsheet. |
| Hex | Best forData analysts who write SQL and Python in notebooks and publish results as shared data apps. | Watch out forAimed at analysts; operators consume published apps rather than asking ad hoc questions in Slack. |
| Metabase | Best forFintechs that want open-source, self-hostable dashboards on their ledger database with a simple question builder. | Watch out forDashboards and models still need an owner as products and processors change. |
| ThoughtSpot | Best forMid-market and enterprise fintechs replacing a legacy BI tool with AI search over a modeled warehouse. | Watch out forA standalone app people must log in to and learn, built for larger BI rollouts. |
Asked in chat
What they ask Bruin
@Bruin
what was card approval rate yesterday by processor?
@Bruin
which BIN ranges saw the most declines this week?
@Bruin
how much TPV went through Solidgate in June?
@Bruin
what is our chargeback rate by merchant this month?
@Bruin
which Wise payouts are pending after 48 hours?
@Bruin
did the 3DS change lower EU approval rates?
How it works
How to set it up
- 1
Connect your processors, such as Stripe, Primer and Solidgate, and point Bruin at a read replica of your ledger database so nothing runs against production.
- 2
Define approval rate, chargeback rate and net revenue once, including which declines count, and Bruin tests those definitions on every run.
- 3
Add QuickBooks, HubSpot and Zendesk so each payment can be read next to accounting, customer and support records in one model.
- 4
Invite payments ops and finance to ask in Slack; every answer shows the query, the tables and the processor behind it.
- 5
Schedule a morning payments brief on TPV, approvals and disputes, and set rules that tag the owner when an approval rate drops.
Connects to
The data behind the answers
Built in
- Stripe
- Primer
- Solidgate
- Wise
- Payrails
- QuickBooks
- HubSpot
- Zendesk
- PostgreSQL
Via API
- Adyen
- PayPal
- Plaid
- NetSuite
Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.
Worth knowing
The honest caveat
Approval rate depends on how you count retries: one payment retried three times is either one success or three attempts. Agree on attempt-level or payment-level counting before comparing processors, or the cross-processor chart ranks them on different rules.
Customer results
Numbers from teams on Bruin.
Frequently asked
Common questions.
How do I know an AI data analyst's approval rate is right for our fintech?
Bruin shows the query and sources with every answer, and column-level lineage traces each figure back to the processor or ledger table. Approval, chargeback and fraud rates have one definition, tested on every run.
How is Bruin different from Stripe Sigma?
Stripe Sigma runs SQL over Stripe data only. Bruin joins Stripe with Primer, Solidgate, Wise, your ledger and CRM, answers plain-word questions in Slack and shows the query it ran, so volume on every rail sits in one place.
Does an AI data analyst need access to our production payments database?
Not with Bruin. It loads from read replicas, exports or incremental loads, so nothing touches your primary database, and transformations run inside your warehouse where the payment data already sits.
Can a fintech run Bruin in its own VPC?
Yes. Bruin runs in Bruin Cloud, your own VPC on AWS, GCP or Azure, or on-premises, with private connectivity to your sources. You pick the region your tenant runs in, EU included.
Your data already knows. Now Bruin's on it.
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