Top Companies Building AI Fintech Solutions in 2026

AI in fintech isn’t experimental anymore — it’s running in production. Banks, payment providers, lenders, investment platforms, and fintech startups are now leaning on it for fraud detection, customer support, credit decisions, analytics, compliance, personalisation, and just automating the grunt work that used to eat up teams’ time. A 2024 Bank of England and FCA survey found that 75% of UK financial firms responding were already using AI, and another 10% said they planned to adopt it within three years.

But getting AI production-ready in finance takes a lot more than picking a model or wiring up an LLM API and calling it done. Companies building ai fintech solutions have to combine actual AI engineering with financial-grade software architecture, secure integrations, data pipelines that don’t fall over, regulatory compliance, and ongoing model monitoring — none of which is optional once real money and real customers are involved. In 2026, this combination of fintech expertise and practical AI implementation is an important criterion when selecting a technology partner.

The following list highlights software development and technology consulting companies with established capabilities across financial services and artificial intelligence. It is not intended as a universal ranking; companies differ substantially in size, delivery model, specialisation, and typical project scope.

AI Fintech Development Companies at a Glance

Table: Original editorial comparison created for this article.

1. DeepInspire

DeepInspire is a boutique software development and technology consulting company with a long-standing focus on fintech and financial software. Its experience covers digital banking, payments, trading, personal finance, lending, integrations, and AI-enabled products.

The company applies AI to areas such as fraud detection, personalisation, operational automation, analytics, and decision support. Its fintech background can be particularly relevant when AI functionality must be integrated into an existing financial product rather than developed as an isolated prototype. DeepInspire also works with legacy systems, financial APIs, KYC/AML providers, payment infrastructure, and other components commonly found in fintech environments.

2. EPAM

EPAM combines large-scale software engineering with extensive financial services expertise. Its financial practice spans retail and commercial banking, payments, capital markets, wealth management, data, cloud engineering, and artificial intelligence.

The company is particularly relevant for enterprises that need to move AI initiatives from experimentation into production environments. EPAM’s recent financial-services work and research address AI-native operating models, intelligent automation, data platforms, and scaling AI across banking organisations.

3. Endava

Endava works extensively with payments, banking, fintech, and other financial-services organisations. In 2026, the company is emphasising an AI-native approach to technology delivery and the introduction of agentic AI into financial workflows.

Its capabilities are well suited to organisations combining modernisation with new AI functionality. Endava’s work includes payment infrastructure, cloud and data transformation, automation, and digital product engineering. Its 2026 partnership with Tyl by NatWest also demonstrates continued involvement in large-scale merchant payment technology.

4. DataArt

DataArt’s a global software engineering firm with real depth in both finance and AI. Their current offering here is Artisyn for Finance, built around governed AI-enabled software and reusable agentic workflows. Worth a look if your project needs AI operating inside a complex enterprise environment where governance, auditability, integrations, and operational reliability aren’t nice-to-haves — they’re the whole point. DataArt also does a lot of work in data platforms and software modernisation, which happen to be exactly the foundations production AI systems need underneath them.

5. SoftServe

SoftServe runs technology consulting and engineering for banking, insurance, and fintech clients, and their financial-services work increasingly blends cloud modernisation, data engineering, generative AI, and intelligent automation. Think regulatory and compliance support, personalised customer experiences, AI-assisted financial decisioning, and modernising core financial platforms. That makes them a better fit for organisations treating AI as one piece of a bigger data or digital-transformation push, rather than something bolted on as a standalone feature.

6. Intellias

Intellias covers engineering and consulting across financial services and insurance, with data and AI as a real strength rather than an add-on. Recent work leans into agentic AI in banking, AI-powered financial assistants, machine learning, and modernising complex financial platforms. They’re a solid pick when a project needs secure integration between AI applications, banking systems, APIs, and real-time data sources — which matters a lot for financial assistants, automated workflows, risk tools, and analytics systems that depend on data that’s actually current, not stale.

7. ELEKS

ELEKS pairs fintech software engineering with data science, AI, cybersecurity, and product development. Their financial-services work spans data-driven decision-making, risk management, transaction technology, and operational systems, and they also do intelligent automation and AI applications built specifically for financial processes. That makes them relevant for businesses looking to automate messy back-office work or bolt machine-learning capabilities onto financial software that already exists.

8. Miquido

Miquido develops digital products for fintech companies and has built a significant AI-focused practice around financial services. Its current fintech offering includes intelligent document verification, conversational AI, machine learning, and AI-enabled automation.

The company may be a practical option for product-oriented fintech businesses developing customer-facing applications or adding AI capabilities to an existing digital platform. Miquido has also published a fintech AI implementation case involving Nextbank.

9. Thoughtworks

Thoughtworks approaches AI in financial services through software engineering, modern data architecture, and enterprise modernisation. In 2026, its financial-services research includes transaction foundation models designed to reuse transaction intelligence across areas such as fraud detection, credit, authorisation, reconciliation, and customer engagement.

This makes the company particularly relevant for larger organisations looking beyond isolated AI features toward reusable AI and data infrastructure.

10. Globant

Globant operates a dedicated Financial Services AI Studio and works on agentic AI, banking modernisation, customer intelligence, fraud analytics, explainable AI, and credit decisioning.

Its approach combines financial-services specialists with data and AI engineering, making the company more appropriate for broad transformation programs where AI interacts with core banking platforms, operational processes, and customer-facing applications.

How to Choose an AI Fintech Development Company

There is no single provider that fits every financial AI project. A fintech startup building an AI-powered financial assistant may need a very different partner from a global bank modernising data infrastructure across multiple jurisdictions.

Before choosing a company, organisations should evaluate its actual fintech delivery experience, AI engineering capabilities, data expertise, integration skills, security practices, and ability to move systems from proof of concept to production. Experience with payments, banking APIs, compliance workflows, legacy platforms, and explainable AI can also become important depending on the use case.

The strongest partner is therefore not necessarily the largest AI vendor. It is the company whose engineering model, financial-domain expertise, and delivery experience match the specific problem being solved.

For organisations evaluating a specialist partner for custom financial technology and AI development, more information is available from DeepInspire boutique software development company.