Build smarter fintech products with AI
Bring AI into your trading, lending, payments, or compliance workflows – without risking stability or security.
Whether you’re looking to improve an existing solution or build a new product, we apply AI where it genuinely makes a difference – fraud detection, personalisation, automation, decision support, and other high-impact areas.
Build smarter fintech products with AI
Build smarter fintech products with AI
AI changes the game in fintech industry
Fintech runs on data – more than any team could ever process manually. Decisions need to be instant, accurate, and scalable, and that’s exactly where AI changes the game. AI doesn’t just speed things up. It automates complex financial processes, uncovers patterns hidden in millions of data points, highlights what truly matters, and predicts risks before they surface. With AI, fintech teams gain smarter decisions, stronger compliance, tighter risk controls, and a level of personalisation that simply wasn’t possible before. It’s not an upgrade – it’s a new standard for how modern financial products operate.
Benefits of AI solutions in fintech
  • Enhanced fraud detection & security
    AI strengthens fraud protection by analysing patterns to spot unusual behaviour, helping financial institutions stay ahead of cyber threats.
  • Improved customer experience & personalisation
    AI allows you to deliver personalised financial services, which results in clearer customer journeys and more meaningful engagement.
  • Automated decision-making & processing
    Routine financial decisions can be handled with AI automation built into your workflows. Credit scoring, transaction approvals, and document verification happen faster, freeing your team for tasks that require human judgment.
  • Reduced operational costs
    AI and automation significantly reduce manual effort. Teams spend less time on data entry and document checks, cutting down operational expenses without compromising service quality.
  • Better risk management & compliance
    AI algorithms can process large volumes of data, highlighting risky transactions and flagging compliance issues.
  • Real-time insights & analytics
    AI-driven analytics allows financial technology providers to leverage real-time insights into trends,  which leads to more informed decision-making.
Our AI fintech development services
  1. If you’re looking to integrate AI but don’t know where to start, DeepInspire can help. After analysing your goals, data readiness, regulatory constraints, and technical landscape, our consultants explain where AI can create real value in your financial product and work with you to devise a realistic roadmap.
Our AI fintech development servicesOur AI fintech development servicesOur AI fintech development services
  1. With a properly built NLP pipeline, financial teams gain clearer insights from text-heavy data that would otherwise be too time-consuming to analyse manually. Our AI development experts build NLP components that extract data from financial documents, classify text, perform sentiment analysis, and help teams understand large volumes of messages or reports.
Check out what we have done for our clients.
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Our AI solutions for fintech industry
AI-powered fraud detection & prevention

We develop tools that spot suspicious behaviour earlier and with greater accuracy than manual checks. These solutions analyse transaction patterns to detect unusual activity and adapt as fraud tactics change.

Intelligent credit scoring & risk assessment

Our risk models use traditional data and alternative indicators to form a complete picture of a borrower. Instead of relying solely on fixed rules, the system learns from outcomes and adjusts scoring logic, helping lenders make more informed decisions.

Algorithmic trading & investment analytics

Fintech companies rely on us to build analytical engines that track market signals, process large datasets, and surface opportunities for traders and investment teams. These tools support faster data analysis, reducing the time spent on manual research and keeping strategies responsive to changing market conditions.

AI customer service & support automation

DeepInspire specialises in the development of AI modules that answer routine questions, classify incoming messages, and route complex cases to the right specialists. This reduces response times, ultimately leading to greater customer satisfaction.

Personalised financial recommendations

Our recommendation engines analyse user behaviour and transaction history to generate personalised financial advice tailored to each customer. Whether it’s saving habits, investment choices, or spending patterns, the system helps users make decisions that fit their financial goals.

Anti-money laundering (AML) & compliance AI

We create AI modules that assist compliance teams by monitoring large volumes of data to identify high-risk transactions and flagging cases that require deeper review. These tools streamline AML checks and reduce the burden of manual screening.

Our AI solutions for fintech
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Robo-advisory & wealth management AI

DeepInspire’s AI development services include creating robust robo-advisory modules that combine market data with risk models to help wealth management firms deliver consistent recommendations at scale.

AI-driven loan processing & underwriting

Our team builds underwriting engines that evaluate borrower data, score applications, and highlight risks early in the process. As a result, loan decisions move faster, and teams spend less time on repetitive review work.

Insurance claims processing automation

If you’re looking to leverage AI to streamline claims processing, we have you covered. Our team builds AI-driven workflows that extract information from submissions, validate documents, highlight inconsistencies before they reach your team, flag missing data, and prioritise cases that need immediate attention.

Fintech legal AI solutions

We develop legal-focused AI tools that read contracts, identify key clauses, and surface potential risks. Automating the early review stages gives legal teams more time for strategic work.

Security & compliance in AI fintech solutions

Fintech services carry strict obligations, so we deliver secure software solutions tailored to respect privacy and meet regulatory requirements. We align our fintech AI solutions with the expectations of regulators such as the FCA and the SEC.

  • 1
    Data privacy & GDPR compliance
    We apply GDPR principles, including data minimisation, controlled access, and secure storage practices, from the early stages of development.
  • 2
    Bias detection & fairness
    To reduce unintended bias, we examine datasets, evaluate model outputs, and adjust training practices when patterns raise concern.
  • 3
    Explainable AI & transparency
    Financial teams must understand why an AI system reaches certain conclusions. We incorporate explainability tools that reveal the factors behind predictions, making decisions easier to audit and defend.
  • 4
    Model security & AI safety
    Our team secures training pipelines, guards against model extraction and adversarial attacks, and validates behaviour under stress.
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Our AI fintech development process

Decades of financial software development have helped us establish a clear step-by-step process that guides fintech companies from early ideas to fully operational AI solutions.

1. AI Discovery & Use Case Identification

Our team starts by clarifying where AI can make a measurable difference in your product. We review your goals and existing workflows to identify high-value use cases that fit your roadmap.

2. Data Assessment & Strategy Planning

Here, we define how the system will meet local regulations and data protection standards. We map out risk controls and audit mechanisms early to keep compliance consistent throughout the project.

3. AI Architecture Design

Next, we design an architecture that supports your desired features and integrates with your existing systems.

4. Model Development & Training

Our team transforms use cases into working models, training them on relevant datasets and making sure their behaviour aligns with your business logic.

5. Integration with Fintech Systems

We integrate the models with your backend services, data pipelines, and interfaces.

6. Testing & Validation

Before the system goes live, we examine it under real-world conditions, validating technical performance and domain-specific behaviour.

7. Deployment & Monitoring

Finally, we deploy the AI components in a controlled environment and closely monitor them to identify unexpected patterns early.

8. Continuous Optimisation & Support

Our AI development services cover ongoing improvements, model retraining, and technical support, so that your product stays effective at all times.

AI technologies we leverage for fintech
  • Machine learning & deep learning
  • Large language models (LLMs)
  • Natural language processing (NLP)
  • Anomaly detection & fraud intelligence
  • Predictive analytics & data science
  • Behavioural analytics
  • Computer vision & OCR
  • Reinforcement learning
What’s next?
Why choose DeepInspire as your AI fintech partner
  1. Our team has 25+ years of experience delivering software development services for the financial industry. Combined with strong AI expertise, this allows us to build AI-driven fintech solutions that turn complex business logic into reliable models and workable system workflows.
TESTIMONIALS:
What our clients say
Best what I saw in the field, this guys are super pros. Incredible attention to details. Go hunt them!
Craig
VP Enterprise at Voice Biometrics , United Kingdom
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The best thing about working with DeepInspire is when we put the phone down, I can trust that the work is going to be done.
Patrick Leahy
Co-founder at Elva, the Financial Wellness Company, United Kingdom
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Frequently asked questions
  1. AI helps fintech companies work faster and make better decisions by automating routine tasks, analysing large datasets, and exposing patterns that are hard to spot manually. These capabilities streamline fraud detection, allow you to personalise offerings, minimise human error, and reduce manual work.