Production-ready AI for banks, insurers, and lenders.
Run any AI agent on the same governed data your auditor already trusts. Self-service for hundreds of users. Coexists with Snowflake, Databricks, your existing data warehouse. We add the governed layer your stack is missing.
Live in production — not a pitch deck
8
weeks to first value
Coexists with Snowflake, Databricks, your existing DW
Time to first value
Trusted by financial services and enterprise leaders
The 2026 board moment
30%
of GenAI projects abandoned at proof-of-concept. Gartner, July 2024.
10–25
days for the average month-end close. Industry target: under 5.
70%
of analyst time spent on data gathering — not analysis.
Who we serve best
Three segments. One governed data foundation.
Where you live, what we do — proof from production at European retail banks and consumer-finance leaders.
Choose your segment
Self-service data — securely consumed by hundreds of users across the bank.
Česká spořitelna built a self-service data management solution for the whole bank — connecting 180+ active users across 70 teams, working on more than 100+ data projects. All consuming data from Oracle DWH, Salesforce CRM, marketing applications, HR systems, and dispersed Excel and CSV sources — connected under one platform with full context.
And now those same business users are pointing Claude, Copilot, and ChatGPT at that data. The semantic layer is what makes it safe: every metric definition validated, every answer traceable, every output the bank's auditor will recognize.
- Data Governance — one platform, one governed framework
- Data Enablement — teams resolve their own requests
- Data Democratization — end users access without central IT
- Faster Time to Value — weeks instead of months
One platform. Several departments. Now finance too.
The insurance carriers we work with started with internal reporting, marketing, and sales — building a single governed data layer they could trust across the business. Now finance is joining the same platform: management reporting, regulatory consolidation, and AI-assisted analysis on the data infrastructure that's already proven across the rest of the organization.
The reason it works at insurance economics: extremely limited maintenance. One platform, several business units, one small team running it. No separate tool for every department — and no parallel data factories drifting out of sync.
- One platform, many departments — no shadow stacks
- Extremely limited maintenance — cost-efficient at insurance scale
- Critical analytics + reporting — auditor-comfortable governance
- Finance comes last — and lands fast
9 countries on day one. Risk, HR, and CRM by year three.
Home Credit's finance reporting was held back by disparate systems and inconsistent metrics across nine countries. Other tools required them to have data ready in a defined format. Keboola didn't.
What started as FP&A consolidation expanded — by design — into risk, HR, and CRM on the same governed platform. 5× more use cases, no parallel rebuild, no separate tool for every department.
- 25% of group reporting automated from day one
- 9 countries unified · standardised definitions
- Daily insights instead of monthly close wait
- 5× use cases scaled — finance, risk, HR, CRM
Voices from production
Three real leaders. Three real outcomes.
Keboola has significantly improved and expanded our self-service data capabilities, and in Keboola we have found an effective weapon in the fight against shadow IT.
Pavel Matějka
Enterprise Data Architect
Česká spořitelna
The successful implementation of Keboola was a crucial step to become a digital company. It propelled us to the next level, equipped leaders with forward-looking business information.
Thilo Kusch
Group CFO
P3 Logistic Parks
Other tools required us to have data ready in a defined format. Keboola didn't and delivered. Over-delivered.
Radek Pluhar
Group CEO
Home Credit International
Architecture · data flow
AI agents.
Inside a glass box.
Most agentic AI runs in a black box. Keboola's Data Agent operates inside the same governed environment your finance team already uses — every action traceable, every output audit-ready, every decision reversible.
Core banking · GL · Risk DW · Actuarial · Excel — connected through 700+ connectors.
- CORE BANKING
- GL
- RISK DW
- ACTUARIAL
Raw banking and risk data becomes finance-grade data. Validated, reconciled, mapped to a single CoA.
- VALIDATION
- RECONCILIATION
- COA MAPPING
Every definition linked. Every entity mapped. Lineage from the board pack back to the journal entry.
- DEFINITIONS
- ENTITY LINKS
- LINEAGE
Finance-grade agents acting on governed banking data — with full audit trails.
- BUDGET DRIFT
- FORECAST VARIANCE
- AUTO-RECONCILIATION
Risk reporting · Board pack · Regulator · Agent chat — one source of truth, every audience.
- RISK REPORTING
- BOARD PACK
- REGULATOR
- AGENT CHAT
Core banking · GL · Risk DW · Actuarial · Excel — connected through 700+ connectors.
Raw banking and risk data becomes finance-grade data. Validated, reconciled, mapped to a single CoA.
Every definition linked. Every entity mapped. Lineage from the board pack back to the journal entry.
Finance-grade agents acting on governed banking data — with full audit trails.
Risk reporting · Board pack · Regulator · Agent chat — one source of truth, every audience.
700+ pre-built connectors · NetSuite · SAP · Workday · Snowflake · Databricks · Excel — coexists with your stack.
Why Keboola
Three pillars of auditable AI for finance
The cornerstone is verifiability. Every answer is either grounded in your governed data — or flagged.
Verifiable AI
Drill-down to journal entry
European by design
Free guide · 2026 edition
We prepare the clean data your AI assistants and agents need.
Bigger models won't fix bad data. The 2026 CFO Intelligence Transformation Blueprint shows finance leaders how to build the data foundation that makes AI actually deployable — verifiable answers, audit-ready lineage, governed by default.
Real Customers. Real Results.
Five proof points in production across European retail banking and consumer finance.
Two carriers, both private.
A leading European insurance broker (CEE) and a major life insurer. Same governance model that runs Česká spořitelna in production.
Talk to us →Verified by G2
CFOs and IT leaders who bet on it — and won.
Real quotes from real finance and IT leaders. Verified by G2 and hundreds of reviews from the people doing the work.
"The successful implementation of Keboola was a crucial step to become a digital company. It propelled us to the next level, equipped leaders with forward-looking business information."
Thilo Kusch
Group CFO · P3 Logistic Parks
"Keboola lets our business teams get the analysis they need in a timely manner, without relying on IT."
John Howard
Director of IT · Brix Holdings
"Keboola's solution has transformed our approach to data, making it a crucial part of our daily operations."
Jakub Žalio
Group CTO · Creditinfo Group
Based on 100+ reviews from verified users — the people doing the work.
Ready to run the numbers?
Production-ready AI in the bank.
Run any agent or assistant on top of your data — with the governance, lineage, and audit trail your finance team and your auditor already trust. Compliance-ready by default. Live in 8 weeks.
Talk with the team
Giorgio Pontillo · CRO
Commercial fit + pricing for FS
Martin Lepka · CMO
Strategy + AI-readiness for finance
Pavel Doležal · CEO + Founder
Vision + 2026 roadmap
A 20-minute call. Your stack, your regulators, your numbers. We tell you whether Keboola is the right fit before you commit anything.