FinTech + Vilnius
Best FinTech AI Agencies in Vilnius (August 2026)
3 FinTech-specialized AI agencies based in Vilnius. Top-ranked: Wise Monks, Civitta, InData Labs.
In banking and payments, a wrong model output isn't an inconvenience—it's a blocked account, a false fraud flag, or a regulatory finding. These agencies build fraud detection, credit scoring, and compliance automation with the audit trail supervisors expect, and they know the EU AI Act treats creditworthiness scoring as a high-risk use. Look for published work in AI Automation for KYC and reporting workflows and AI Consulting for model governance in supervised environments.
Market snapshot
Pricing for FinTech AI agencies in Vilnius
Across all 3 fintech ai agencies on this page, hourly rates span €45–€85, with a median around €65/hr. The European FinTech average is €110-190/hr.
| Tier | Hourly rate | Agencies |
|---|---|---|
| Budget | €50–99/hr | 3 — Wise Monks, Civitta, InData Labs |
Team capacity in Vilnius
All 3 agencies on this page disclose team size. The distribution breaks down as:
- Small/mid (10-49)1 agency — Wise Monks
- Mid studio (50-99)1 agency — InData Labs
- Large studio (100+)1 agency — Civitta
Rankings updated
Wise Monks
#38Vilnius, Lithuania
Wise Monks is a Vilnius software firm building AI systems for business operations: data integration platforms, credit assessment automation, vehicle valuation and call analysis.
Civitta
#60Vilnius, Lithuania
Civitta is a management consultancy founded in 2013 with offices across the Baltics, Central and Eastern Europe, running an AI and data practice covering machine learning, data platforms and AI applications alongside its strategy and innovation work.
InData Labs
#81Vilnius, Lithuania
InData Labs is a data science and AI firm with a Lithuanian office, founded in 2014. Its practice covers machine learning, natural-language processing, computer vision and data engineering.
Other industries served by Vilnius FinTech agencies
Beyond FinTech, these 3 agencies also publish experience in:
| Industry | Agencies with stated experience |
|---|---|
| SaaS & B2B | 3 of 3 — Wise Monks, Civitta, InData Labs |
| E-commerce | 2 of 3 — Wise Monks, InData Labs |
| Healthcare | 2 of 3 — Civitta, InData Labs |
| Manufacturing | 1 of 3 — Wise Monks |
| Public Sector | 1 of 3 — Civitta |
Most common services offered by Vilnius FinTech agencies
These 3 FinTech agencies most commonly offer:
- AI Development3 of 3 — Wise Monks, Civitta, InData Labs
- AI Automation3 of 3 — Wise Monks, Civitta, InData Labs
- AI Consulting3 of 3 — Wise Monks, Civitta, InData Labs
- AI Agents2 of 3 — Wise Monks, Civitta
- Generative AI1 of 3 — InData Labs
Frequently asked questions — FinTech in Vilnius
- How much do FinTech AI agencies in Vilnius charge?
- Across all 3 FinTech AI agencies on this page, hourly rates range from €45 to €85, with a median around €65. The European FinTech average is €110-190/hr. 3 agencies operate under €100/hr: Wise Monks, Civitta, InData Labs.
- Which are the top-rated FinTech AI agencies in Vilnius?
- Based on our editorial scoring (portfolio quality, business credibility, and case study depth), the top-ranked FinTech AI agencies in Vilnius are Wise Monks, Civitta, InData Labs. See the full review on each agency's profile.
- What other industries do Vilnius FinTech agencies serve?
- Beyond FinTech, the most common cross-industry experience among these agencies is SaaS & B2B (3 of 3 agencies). Notable examples include Wise Monks, Civitta, InData Labs.
Local Insight
FinTech AI Agencies in Vilnius
This is the page Vilnius exists for. Lithuania issued electronic-money and payment licences aggressively enough to pull a large part of Europe's fintech operations into the city, and the AI firms here grew up inside that. Wise Monks built an automated credit-risk assessment platform for Creditreform Lithuania, the credit bureau itself — which is about as close to the regulated core as an engagement gets. InData Labs brings the data-science layer that fraud, scoring and customer analytics run on. Civitta advises financial institutions across the Baltics and Central Europe alongside its public-sector work.
EU rules apply in full here, so DORA and the AI Act are the frame and credit scoring sits in the Act's high-risk tier. Ask each candidate what their documented work had to survive — a model-risk review, an audit, a supervisor's question — and what artifacts came out of it. In this sector the evidence package is as much the deliverable as the model, and a firm that has produced one will show you rather than describe it.
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