Top AI Development Companies for FinTech in 2026

AI development companies for FinTech help financial businesses adopt artificial intelligence to improve data-driven decisions, automate complex workflows, and strengthen digital financial products. Their expertise in machine learning, predictive analytics, and generative AI supports financial applications that require reliable model performance, secure data handling, and compatibility with existing systems.

Choosing the right company requires evaluating technical capabilities, financial industry experience, project history, data security, and long-term costs. RatedFirms helps businesses compare AI development companies through company profiles, client reviews, technical expertise, team size, and project budgets.

List Of FinTech AI Development Companies

Showing 161–170 of 174 agencies

TatvaSoft

Verified

Web Development, Mobile App Development, AI/ML

Manish Patel

Founder & CEO

TatvaSoft is a custom software development company with 1,350+ IT professionals serving clients from startups to Fortune 500 companies across 36 countries, including offices in the US, UK, Canada, Australia, and Japan. It covers the full technology stack from custom and web/mobile development to cloud, DevOps, QA, and emerging AI/ML work, with particular depth in enterprise .NET/C# development for fintech, insurance, retail, and travel clients.

Team Size1,000-9,999
LocationAhmedabad, India
Min. Project$25,000+
Hourly Rate$25/hr
Web Development Mobile App Development AI/ML Development Cloud and DevOps UI/UX Design

Mindbowser

Verified

Software Development, Healthcare AI, HIPAA Compliance,

Ayush Jain

CEO

Mindbowser is a Pune, India-headquartered outsourced product development company founded in 2012. It specializes in healthcare software, building HIPAA-compliant digital health platforms, telehealth and remote-patient-monitoring tools, and EHR/EMR integrations using HL7/FHIR standards, alongside broader custom web and mobile app development. Its primary industry focus is healthcare and digital health, though it also serves general SaaS and startup clients. Its strongest and most differentiated expertise is healthcare-specific software and emerging healthcare AI solutions.

Team Size250-999
LocationPune, India
Min. Project$50,000+
Hourly Rate$25-$49/hr
Software Development Healthcare AI HIPAA Compliance Telehealth Development Remote Patient Monitoring HL7/FHIR & EMR/EHR Integration Mobile App Development (React Native Flutter) Web Development (.NET Ruby on Rails Angular React Node.js) Custom Software/Product Development UX/UI Design

Suffescom Solutions Inc

Verified

Mobile App Development, Web Development, Blockchain

Gurpreet Singh Walia

Chief Executive Officer

Suffescom Solutions is a software development company founded in 2013 in Mohali, Punjab, India, that builds custom mobile and web applications, blockchain/Web3 platforms, and AI-driven features such as recommendation engines, chatbots, and NLP tools. It serves financial services and healthcare clients primarily, as well as e-commerce, real estate, and crypto/Web3 startups, frequently taking projects from no-code prototypes to scaled, production mobile marketplaces. Its strongest area of expertise is blockchain/Web3 app development combined with AI feature integration layered onto its core full-cycle mobile and web development practice.

Team Size250-999
LocationMohali, India
Min. Project$25,000+
Hourly Rate$25-$49/hr
Mobile App Development Web Development Blockchain Development AI Development (Recommendation Systems Chatbots NLP Machine Learning) AR & VR Development React Native Flutter Node.js Next.js Cloud (AWS Azure Google App Engine)

OpenXcell

Verified

Mobile App Development, Web Development, Custom

Jayneel Patel

Founder & CEO

OpenXcell is an IT consulting and custom software development company whose services span mobile/web app development, blockchain, and increasingly generative AI work including LLM development and RAG-as-a-service offerings. Its strongest positioning is as an offshore product-engineering partner for startups and SMBs needing full-cycle outsourced builds at lower cost than US-based teams, with growing emphasis on AI consulting layered on its custom development practice.

Team Size250-999
LocationAhmedabad, India
Min. Project$10,000+
Hourly Rate$25-$49/hr
Mobile App Development Web Development Custom Software Development Blockchain Generative AI LLM Development RAG as a Service AI Consulting Low/No Code Development UX/UI Design Cloud & DevOps Systems Integration

SoftServe

Verified

Custom Software Development, Enterprise App Modernization,

Andriy Stytsyuk

Chief Executive Officer

SoftServe is a digital consulting and software engineering firm that builds custom applications, cloud platforms, and increasingly AI-driven solutions, with particular depth in enterprise application modernization, big-data/BI systems, and IT strategy consulting. It serves regulated and complex industries such as healthcare, financial services, retail, and energy, drawing on large US and Central/Eastern European delivery teams, layering generative-AI and machine-learning capability onto its longstanding custom-software practice.

Team Size10,000+
LocationAustin, USA
Min. Project$50,000+
Hourly Rate$100-$149/hr
Custom Software Development Enterprise App Modernization IT Strategy Consulting AI Development Application Testing Blockchain Cloud Consulting & SI Cybersecurity E-Commerce Development IoT Development UX/UI Design

Grid Dynamics

Verified

Digital Engineering, AI & Machine Learning,

Leonard Livschitz

Chief Executive Officer

Grid Dynamics is a digital engineering and applied-AI company that helps large enterprises modernize technology platforms, build data and analytics pipelines, and deploy AI-driven search, recommendation, and merchandising systems. It works primarily with retail, consumer packaged goods, manufacturing, insurance, and life-sciences clients, pairing large-scale platform engineering with generative-AI and machine-learning solutions such as its enterprise search and merchandising work for retailers.

Team Size4,964
LocationSan Ramon, USA
Min. Project$10,000+
Hourly Rate$25-$49/hr
Digital Engineering AI & Machine Learning Cloud Migration Application Development

NTT DATA

Verified

Mobile App Development, Web Development, AI

Kazuhiko Nakayama

President

NTT DATA is a Japan-headquartered, large-scale IT services and consulting company within the NTT group that provides systems integration, application development, cloud migration, cybersecurity, SAP consulting, and business-process outsourcing to enterprises and governments worldwide. It serves banking, insurance, healthcare, manufacturing, automotive, retail, and public-sector clients at global scale, and has been expanding into generative AI, including its own large language model, tsuzumi.

Team Size50-249
LocationTokyo, Japan
Min. Project$5,000+
Hourly Rate$25/hr
Mobile App Development Web Development AI Development IT Staff Augmentation E-Commerce Development

Globant

Verified

Digital Transformation, AI/Generative AI Consulting, Cloud

Martín Migoya

Co-Founder, Chairman & CEO

Globant is a digitally-native IT and software engineering company that builds custom software, cloud platforms, UX/UI, and mobile products, and has pivoted toward generative-AI-driven delivery through its AI-native positioning and AI partnerships. It serves media & entertainment, retail, banking, sports, travel, and consumer goods clients globally, with particularly deep expertise in large-scale digital commerce and platform modernization for major global brands.

Team Size28,000+
LocationLuxembourg City, Argentina
Min. Project$5,000+
Hourly Rate$25-$49/hr
Digital Transformation AI/Generative AI Consulting Cloud Consulting UX/UI Design Mobile App Development Data & Analytics Web Development

N-iX

Verified

AI Development, BI & Big Data

Pavlo Deshchynskyy

Chief Executive Officer

N-iX is a Ukraine-founded custom software development company that builds digital products, cloud solutions, and data platforms for clients in finance, retail, healthcare, logistics, and automotive. Its services include AI-augmented software engineering, generative AI and AI-agent development, cloud migration/DevOps, and data engineering, typically delivered through dedicated development teams and staff augmentation. N-iX is particularly recognized for combining large-scale custom engineering delivery with applied AI and data-analytics work for mid-size and enterprise clients.

Team Size1,000-9,999
LocationLviv, Ukraine
Min. Project$100,000+
Hourly Rate$50-$99/hr
AI Development BI & Big Data Consulting Custom Software Development Cloud Consulting IT Staff Augmentation Data Engineering

Elsner Technologies

Verified

Custom Software Development, E-Commerce Development, Mobile

Harshal Shah

CEO

Elsner Technologies is an Ahmedabad-based digital transformation provider offering custom software development, ecommerce platform engineering, and mobile app development alongside UX/UI design and digital marketing services. It serves SMB and enterprise clients across retail, e-commerce, and services sectors, with particular depth in Shopify, Magento, and WooCommerce storefront builds.

Team Size50-249
LocationAhmedabad, India
Min. Project$5,000+
Hourly RateUnder $25/hr
Custom Software Development E-Commerce Development Mobile App Development UI/UX Design Digital Marketing & SEO
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How to Choose an AI Development Company for FinTech

Match AI Capabilities to Your Financial Use Case

Identify the financial process you want to improve, such as fraud detection, credit risk assessment, transaction monitoring, or customer analytics. Define the business problem, available data, and measurable outcomes before reviewing AI development companies for FinTech. This gives you a practical basis for judging whether a company's experience fits your goals.

Examine Financial Services Project Experience

Prioritize companies that understand financial data, transaction workflows, and the challenges of deploying AI in financial environments. Review case studies and previous projects related to your use case. Look for clear evidence of the company's contribution, the problem addressed, and the outcomes achieved instead of relying on broad claims about its AI expertise.

Check Risk Management and Regulatory Awareness

AI systems used in financial services can influence decisions involving money, customer accounts, and fraud alerts. Ask how a company approaches data security, model explainability, bias testing, audit trails, and human review. Discuss relevant regulatory obligations with the shortlisted company to understand how these requirements may affect the proposed solution.

Compare Commercial Fit and Long-Term Support

Evaluate each company's technical capabilities alongside its team size, client feedback, hourly rates, and minimum project budget. Consider whether its proposed approach fits your existing financial systems and internal resources. Before making a decision, clarify delivery milestones, testing responsibilities, performance monitoring, maintenance, and the support available after deployment.

How We Evaluate AI Development Companies for FinTech

RatedFirms evaluates AI development companies for FinTech by reviewing available company profiles, client feedback, technical expertise, and relevant financial services experience. Our goal is to help businesses compare potential partners based on information that reflects their project requirements, technical capabilities, and budget

Our evaluation considers the following factors:

  • Financial industry experience: Relevant projects involving financial data, fraud detection, risk analysis, or other financial applications.
  • AI and technical expertise: Experience with AI models, data processing, system integration, and the technical requirements of financial projects.
  • Client reviews and project history: Available feedback and case studies that offer insight into previous engagements and client experience.
  • Team size and project budget: Available information on company size, hourly rates, and minimum project costs to help assess commercial fit.
  • Security and regulatory awareness: Evidence of experience handling sensitive financial data and addressing relevant security and compliance requirements.

These factors help businesses compare AI development companies for FinTech and create a shortlist suited to their goals. Company information may vary, so buyers should verify project outcomes, security practices, regulatory experience, and technical claims directly with shortlisted companies before making a final decision.

Mistakes to Avoid When Choosing a FinTech AI Company

Choosing a company based on AI claims alone: Broad claims about artificial intelligence do not establish experience with financial technology projects. Review relevant case studies, technical capabilities, and project outcomes before shortlisting a company.

Ignoring data security requirements: Financial applications can involve sensitive business and customer information. Assess each company's data protection practices, access controls, security processes, and ability to meet the requirements relevant to your project.

Overlooking project experience: A company's portfolio can reveal whether its technical expertise matches your needs. Examine previous projects, client feedback, and its experience with comparable requirements before making a decision.

Comparing prices without reviewing project scope: Hourly rates and initial estimates may not include integration, testing, deployment, or maintenance. Compare proposals against consistent requirements to understand the total project cost.

Questions to Ask Before Hiring an AI Development Company for FinTech

  1. What experience do you have with FinTech AI projects? Ask for relevant case studies and details about the company's role, technical contribution, and project outcomes.
  2. How do you evaluate AI model performance? Discuss testing methods, accuracy requirements, monitoring, and how the company handles unreliable outputs.
  3. How do you protect sensitive financial data? Review data handling, access controls, security practices, and the use of third-party AI services.
  4. Can you integrate AI with our existing systems? Ask about integration experience, technical dependencies, and compatibility with your current infrastructure.
  5. What are the expected project and ongoing costs? Request a breakdown of development, integration, testing, deployment, maintenance, and recurring expenses.

FAQs

Evaluate AI expertise, financial industry experience, technical capabilities, project portfolios, and client reviews. Also compare team size, minimum project budgets, hourly rates, and security practices. These factors help you identify companies that align with your technical requirements and business objectives.

Review company profiles, relevant project experience, technical capabilities, client feedback, and pricing information. Compare companies against the same project requirements, then verify important claims directly with shortlisted businesses.

Costs depend on project complexity, data requirements, AI model selection, integration work, testing, deployment, and ongoing maintenance. Team size and infrastructure requirements can also affect the budget. Request a detailed estimate that separates initial implementation from recurring expenses.

Financial technology projects can involve sensitive data, complex systems, and strict operational requirements. A company with relevant experience may better understand these constraints and the need for security, reliable model performance, and appropriate oversight. Review its project history rather than relying on general AI expertise alone.

Review client feedback, company profiles, project portfolios, business information, and relevant case studies. Ask shortlisted companies to clarify their role in previous projects and provide references where possible. Verify technical capabilities, security practices, and commercial terms before signing an agreement.

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