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    Industry — Fintech & Financial Services

    AI for Cyprus fintech, built for regulators.

    Keap Technologies is a Cyprus-based AI and data science consultancy for fintech and financial services. We build fraud detection, AML transaction monitoring, onboarding automation, credit risk models, customer analytics and compliant RAG assistants for investment firms (CIFs), forex and CFD brokers, payment and e-money institutions, crypto-asset service providers and banks — in Cyprus, across the EU and in the US.

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    Updated

    Cyprus Investment Firms (CIFs) authorized by CySEC
    200+
    CySEC register, 2026
    payment and e-money institutions on the Central Bank of Cyprus registers
    ~40
    CBC registers, Oct 2026
    of Cyprus GDP contributed directly by the tech sector in 2025
    16.2%
    KPMG for TechIsland, Jun 2026
    fewer fraud false positives we delivered for a US fintech
    75%
    Keap Technologies client

    Who we work with

    Every regulated business model has a different data problem. These are the teams we build for most often.

    • 01

      Investment firms, forex & CFD brokers

      Client risk and churn models, trading-behavior analytics, onboarding automation and compliance assistants for CySEC-regulated CIFs.

    • 02

      Payment & e-money institutions

      Real-time fraud scoring, scam detection, merchant risk and AML monitoring for EMIs and PIs licensed by the Central Bank of Cyprus.

    • 03

      Crypto-asset service providers

      Wallet and transaction analytics, AML risk scoring and reporting for firms authorized under MiCA.

    • 04

      Banks & lenders

      Explainable credit risk and affordability models, collections analytics and customer insight.

    • 05

      Funds & administrators

      Automated investor reporting, document processing and data pipelines for AIFMs, UCITS managers and fund administrators.

    • 06

      Insurers

      Claims fraud detection, pricing analytics and document automation — designed around the AI Act's insurance provisions.

    Why is Cyprus fintech a data problem?

    Cyprus is one of the EU's busiest licensing hubs for financial firms. CySEC authorizes more than 200 Cyprus Investment Firms, and for years the CIF license has been one of the main routes for retail forex and CFD brokers into the EU single market. The Central Bank of Cyprus registers list around 40 payment and e-money institutions, many passporting services across the European Economic Area, and since MiCA's transitional period in Cyprus ended on 1 July 2026, crypto-asset services may only be provided under MiCA authorization.

    These firms share the same profile: high transaction volumes, cross-border customers, fast-moving fraud and some of the most data-intensive supervision in Europe. That combination is exactly where machine learning and well-governed analytics pay for themselves.

    AI use cases we deliver for financial institutions

    Use caseWhat it doesTypical data
    Fraud detectionScores transactions in real time; flags scams, account takeover and mule activityTransactions, devices, beneficiaries, customer history
    AML transaction monitoringPrioritizes alerts and finds suspicious patterns that static thresholds missTransactions, KYC data, counterparties, alert outcomes
    Onboarding & KYC automationExtracts and checks data from identity and corporate documentsID documents, corporate registries, application forms
    Credit risk & affordabilityExplainable probability-of-default and affordability scoresApplications, bureau data, repayment history
    Client churn & lifetime valuePredicts which traders or customers are about to leaveAccount activity, deposits, trading behavior, support contacts
    Regulatory reporting automationBuilds governed, reproducible datasets for returns and board packsCore systems, ledgers, CRM
    Compliance RAG assistantAnswers staff questions from your policies and regulator guidance, with citationsInternal policies, CySEC and CBC circulars, EBA and ESMA guidelines

    Which EU rules shape fintech AI, and when?

    Five EU frameworks now determine how financial firms in Cyprus can build and buy AI and data services:

    RegulationApplies fromWhat it means for AI and data
    MiCA — Regulation (EU) 2023/111430 December 2024 (Cyprus transition ended 1 July 2026)Crypto-asset services require MiCA authorization from CySEC
    DORA — Regulation (EU) 2022/255417 January 2025ICT risk management; a register of information for every ICT third-party contract; mandatory contract clauses (Articles 28–30)
    EU AI Act — transparency (Article 50)2 August 2026People must be told when they interact with an AI system such as a chatbot
    Consumer Credit Directive (EU) 2023/222520 November 2026New rules on creditworthiness assessment for consumer lending
    AML Regulation (EU) 2024/162410 July 2027Single EU AML rulebook; AMLA begins direct supervision of selected entities in 2028
    EU AI Act — high-risk, Annex III2 December 2027Credit scoring of individuals and life and health insurance pricing become high-risk (date set by the Digital Omnibus)

    Our EU AI Act guide for Cyprus fintechs explains which systems are high-risk and what to do before December 2027.

    How we work with regulated firms

    Under DORA, an AI or data consultancy is an ICT third-party service provider. Financial entities must assess providers before contracting, record the arrangement in their register of information, and include specific clauses on data location, access, audit, incident assistance and exit. Keap Technologies structures engagements to support that framework.

    • Data stays in your environment. We build inside your cloud tenant or infrastructure with least-privilege access.
    • Documentation as a deliverable. Data lineage, model cards and validation reports suitable for model-risk, internal audit and supervisory review.
    • Explainability. Reason codes for every score, so analysts, customers and regulators get an answer to "why?"
    • Human oversight. Decisions that affect customers keep a human in the loop where the regulation or your policy requires it.
    • Clear exit. Code, models and documentation are handed over so you are never locked in.

    Proof: graph-based fraud detection for a US fintech

    For a fintech in the United States, Keap Technologies combined graph databases with machine learning to detect fraud patterns spread across networks of accounts.

    “Very professional work, they used advanced data science techniques and graph databases to transform our fraud prevention. Their sophisticated models identified complex fraud patterns across networks, reducing false positives by 75% while catching 95% of fraudulent activities.”

    Senior Product Manager, fintech in the USA

    Frequently asked questions

    Do you work with CySEC-regulated investment firms and brokers?

    Yes. CySEC-regulated Cyprus Investment Firms (CIFs), including forex and CFD brokers, are a core audience for Keap Technologies. Typical projects are client churn and lifetime-value models, onboarding automation, trading-behavior analytics and compliance knowledge assistants. We work alongside your compliance function; we don't provide legal advice.

    Is AI fraud detection high-risk under the EU AI Act?

    No. Annex III point 5(b) of the EU AI Act classifies creditworthiness assessment and credit scoring of individuals as high-risk but explicitly excludes AI systems used to detect financial fraud. Credit scoring obligations apply from 2 December 2027, following the Digital Omnibus.

    How does DORA affect hiring an AI or data consultancy?

    Under DORA, applicable since 17 January 2025, financial entities must record every ICT service contract in a register of information, assess the provider before contracting and include mandatory clauses (Articles 28–30) covering data location, access, audit rights, incident support and exit. An AI consultancy is an ICT third-party provider, so expect those provisions — Keap Technologies structures engagements to support them.

    Can you build AML transaction monitoring models?

    Yes. Keap Technologies builds machine learning models that prioritize AML alerts and detect suspicious patterns alongside your existing rules and case-management system. With the EU AML Regulation applying from 10 July 2027, many firms are using the run-up to modernize monitoring.

    Do you work with crypto-asset service providers under MiCA?

    Yes. We build transaction analytics, AML risk scoring and reporting pipelines for crypto-asset service providers. In Cyprus, CySEC is the competent authority for authorizing CASPs under MiCA, and the national transitional period ended on 1 July 2026.

    Let's build what's next.

    Tell us about your data and the decision you want to improve. We'll come back with a clear plan.

    Start a project
    tech.keap@gmail.com

    Sources

    1. [1]CySEC — Register of Cyprus Investment Firms
    2. [2]Central Bank of Cyprus — Payment & e-money institution registers
    3. [3]KPMG for TechIsland — Tech sector impact on the Cyprus economy (June 2026)
    4. [4]ESMA — MiCA transitional (grandfathering) periods by member state
    5. [5]CySEC — Markets in crypto-assets
    6. [6]Regulation (EU) 2022/2554 — DORA (EUR-Lex)
    7. [7]Regulation (EU) 2026/1744 — Digital Omnibus on AI (EUR-Lex)
    8. [8]Directive (EU) 2023/2225 — Consumer Credit Directive (EUR-Lex)
    9. [9]AMLA — Frequently asked questions