Custom AI for FinTech Development Services
Harness the full power of AI in FinTech to deliver security, automate financial operations, personalize customer service, and make smarter decisions from vast data
Top software development companies
The choice for 200+ companies
Modern Challenges & AI in Fintech Opportunities
Financial technology companies face intense regulations, fast-evolving threats, and sky-high customer expectations. Each challenge is an opportunity for innovation with Artificial Intelligence in FinTech.
JetRuby.Flow
Product Development acceleration with our self-created lean AI-boosted delivery framework
AI PODs
Mature Product teams enhanced by our unique AI agents and DevOps
Tech-business partner
IT Consulting. Strategic audits and advice from mature Architects and Industry Experts
JetRuby’s AI FinTech Development Services
Your organization’s challenges are unique. Our FinTech AI solutions are tailored to your problems, leveraging FinTech and AI best practices like machine learning, computer vision, and NLP techniques.
AI-Driven Fraud Detection Systems
Our AI in Finance solutions stream transactions through anomaly-detection networks and graph models that score risk in milliseconds. We deploy Kafka pipelines, integrate with payment APIs, and surface real-time alerts in custom dashboards to cut chargebacks and fraud losses while protecting customer trust.
Automated Credit Scoring Engines
We train ensemble ML models on credit files, cash-flow data, and alternative sources (open banking, social signals). The platform exposes an API that approves loans in under a second, slashes manual underwriting, and reduces default rates through accurate, bias-free risk scores.
AI-Powered Customer Onboarding
We build KYC/KYB workflows that pair computer-vision OCR with face-match verification and sanctions screening. REST microservices push cleared identities straight into your core system, trimming onboarding time from days to minutes and driving faster revenue capture.
Predictive Analytics & Forecasting
Time-series models and gradient-boosted trees forecast sales, churn, and portfolio risk. Our engineers deliver cloud dashboards (AWS QuickSight, Power BI) that highlight trends and anomalies in real time to help finance teams reprice products, retain customers, predict defaults, and allocate capital with data-driven confidence.
Conversational AI Chatbots & Virtual Assistants
NLU/NLP bots built on Rasa or Azure Cognitive Services integrate with core banking and CRM to answer balances, reset credentials, and route complex tickets. They run 24/7, scale to thousands of concurrent sessions, and cut support costs while improving CSAT scores.
Robo-Advisors & Wealth Platforms
Reinforcement-learning agents and mean-variance optimizers build personalized portfolios, trigger automated rebalancing, and execute trades via broker APIs. Investors gain algorithmic strategies once reserved for quant desks, and platforms grow AUM through superior, low-touch advisory.
Secure Payment Integration & Billing
We engineer PCI-DSS–ready payment modules with tokenization, dynamic permissions, and encrypted Stripe/Bambora flows. Clients launch new billing models (subscription, usage-based, split payments) without security gaps.
Data Engineering & Compliance Architecture
Our teams deploy scalable data lakes on AWS or Azure with lineage tracking, encryption, and audit logging. MLOps pipelines (Kubeflow, Airflow) let data scientists retrain models on demand, while automated policy checks keep every dataset in line with GDPR, SOC 2, and local finance regulations.
Technology Stack & Expertise
We deliver AI-driven financial tools that help business and institutions make smarter lending decisions, reduce fraud, and enhance user engagement in real time.
Programming & AI Frameworks
Data Science
Python
R
Rapid Prototyping
Rails
Flask
React
FastAPI
System Integration
C++
JavaScript
Major ML libraries
TensorFlow
OpenCV
PyTorch
Keras
Scikit-learn
AI Models & Decision Automation
Convolutional Neural Networks (CNNs) for image analysis, Recurrent Neural Networks (LSTM) for time-series forecasting, Random Forests, Gradient Boosting Machines, Support Vector Machines (SVM), K-means clustering, and evolutionary algorithms for task optimization.
Real-Time Processing Data
We engineer robust data pipelines with PostgreSQL, MongoDB, and scalable cloud architectures to support high-frequency transaction environments. Real-time stream processing with Apache Spark, plus secure, scalable REST API integrations ensure seamless system interoperability and compliance.
Smart UI & Embedded AI
From biometric KYC verification using OCR to adaptive robo-advisors with sentiment-aware nudges, our fintech systems are powered by advanced ML pipelines. We deliver multi-platform solutions — from trader terminals to mobile banking apps — with embedded intelligence and explainable AI.
Activate Your Fintech AI Edge
Talk to our financial AI experts, define your objectives, and get a tailored action plan within 48 hours. Transform raw transaction data into smarter risk models, sharper compliance, and deeper customer engagement.
Proven Results & Case Studies
Explore how our AI FinTech development services have powered real-world financial solutions
Our AI-driven FinTech Development Process
We follow a transparent, agile process known as JetRuby.Flow, our custom lean delivery system with built-in AI components that accelerates product development. Here’s how our AI FinTech software development company takes your idea from concept to reality.
We start with a deep-dive into your business goals and requirements. Our experts then identify opportunities for AI and define the scope, timeline, and tech stack for your FinTech solution.
Next, we design a robust architecture and an intuitive UX/UI for your product. We plan data flows, select appropriate AI/ML models (e.g., NLP, computer vision), and ensure compliance and security are built into the design from day one.
Our data scientists and developers build and train your system’s AI components while concurrently developing core application features. We use agile iterations and regularly test that AI (fraud detectors, recommendation engines, etc.) works seamlessly within your software and infrastructure.
Before launch, we rigorously test every aspect like functionality, security, AI model performance, and regulatory compliance to refine the machine learning models and software through QA cycles. Then we deploy your FinTech product to production, handling cloud setup, app store releases, or on-premises installation as needed.
After launch, we continuously monitor and optimize the system, gathering real user data to retrain AI models for even better accuracy and adding new feedback-based features. Our team provides ongoing support, maintenance, and AI model tuning to ensure your solution remains cutting-edge and effective.
Financial Businesses We Work With
JetRuby is a FinTech software development agency that understands both the tech and the market. Our expertise spans major FinTech sectors, where we apply AI and ML in financial software development to address each domain’s unique needs.
Digital Banking & Neobanks
We build AI-ready core banking stacks with instant ID verification, budgeting insights, and real-time fraud scoring. Banks launch faster, personalize offers, and match big-bank security without heavyweight legacy costs.
InsurTech
Our CV and ML tools automate claims, flag fraud, and price policies from applicant data. Insurers clear claims in minutes, cut loss ratios, and deliver fair, data-driven coverage for every customer.
WealthTech & Investment Platforms
We embed ML market forecasts, portfolio optimizers, and advisor chatbots into trading apps. Platforms give investors smarter trades and automated rebalances, boosting assets under management and user loyalty.
Payments & Digital Wallets
JetRuby implements PCI-grade gateways, biometric wallets, and AI fraud filters that learn from every swipe. Clients process payments securely at scale, gain real-time spend analytics, and reduce chargebacks.
Lending & Credit Services
Our alt-data credit models and automated origination workflows approve loans in seconds and track borrower risk. Lenders shorten decision cycles, expand safe credit access, and lower default rates through precise AI scoring.
FinTech Startups
We deliver rapid MVPs and scalable, AI-ready products, from digital wallets to crypto exchanges, through flexible fintech solution development packages that accelerate time-to-market and growth.
FAQ
Machine-learning models score every transaction in milliseconds and automate dispute routing, cutting false positives and reducing manual review costs.
You receive a powerful microservice architecture, secure data pipelines, and pre-built model governance so your team can launch AI features without disrupting legacy systems.
Instant KYC checks, personalized product offers, and predictive overdraft alerts typically pay back in under six months by lifting conversions and lowering support volume.
We apply encryption at rest/in transit, role-based access, tokenized test data, and automated lineage tracking so auditors can trace every prediction back to its source.
Use simple controls: keep clear records for each model version, test regularly for bias, log every prediction, and monitor accuracy in real time. Auditors then see exactly how the model works and evolves.
Containerized inference on AWS Fargate or Azure AKS with GPU autoscaling delivers sub-50-ms response times while meeting high-availability SLAs.
CI/CD expands to include feature-store updates, automated retraining jobs, and canary testing for new model versions, all integrated into your current pipelines.
Track first-response time, containment rate, average handle time, and upsell conversion. Successful projects cut support costs by 30 % and raise revenue per user by double digits.
