Finance
AI Development Services

We bring the expertise of former Google and Amazon engineers to deliver production-ready finance AI systems tailored to your organization.

Learn more

Real-world experiences

Financial Planning App Case Study
A financial planning app that analyzes your assets, liabilities, and cash flow to answer: How much more do you need to fund your life's vision?
Name currently under NDA
Receipt App Case Study
Splitting itemized receipts with all the calculations, tax, and various splits. Scan, itemize, and share costs effortlessly.
Name currently under NDA
plus some more
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How we work

Step 1: Discover
Whether you have a product in mind or need to solve a pain point, we start each engagement with an in-depth Discovery so we can not only learn your development needs, but how your business functions as a whole.
Step 2: Research
Our team investigates the latest AI models as well as understands the industry norms so we can build scalable and efficient solutions.
Step 3: Build
We turn insights into action, taking our learnings and turning them into production-ready solutions that will be able to scale with you.

Finance AI models and applications

Foundational/NLP

BloombergGPT
BloombergGPT
FinBERT (Hugging Face)
FinBERT (Hugging Face)
FinLlama (Meta)
FinLlama (Meta)
InvestLM (HKUST)
InvestLM (HKUST)

Algorithmic Trading

Numerai Meta Model
Numerai Meta Model
Temporal Fusion Transformer TFT (Google)
Temporal Fusion Transformer TFT (Google)

Credit Score

Ascend (Experian)
Ascend (Experian)
Zest AI
Zest AI

Fraud Detection

Fraud Detector (AWS)
Fraud Detector (AWS)
Falcon Fraud Manager (FICO)
Falcon Fraud Manager (FICO)

Put your mind at ease and let us take care of compliance

GDPR

We build solutions that comply with the General Data Protection Regulation (GDPR), ensuring the privacy and protection of personal data for your clients and users in the EU and beyond.

PCI DSS

Our technology and processes align with the Payment Card Industry Data Security Standard (PCI DSS), enabling secure handling of payment card information and reducing the risk of data breaches and fraud.

FINRA Regulations

We help you meet FINRA regulatory requirements for financial services, including data retention, security, and reporting, so your solutions are always audit-ready.

Finance AI solutions we offer (and more)

Digital Payment Solutions

Enable secure, seamless, and scalable digital transactions for your business.

Fraud Detection & Risk Management

Detect and prevent fraud, assess risk, and ensure compliance with AI-powered tools.

Customer Insights & Personalization

Leverage AI to analyze customer data and deliver personalized financial products and services.

Algorithmic Trading

Automate trading strategies and portfolio management with advanced AI models.

RegTech & Compliance

Streamline regulatory compliance and reporting with intelligent automation.

Credit Scoring

Assess creditworthiness and automate lending decisions using AI-driven credit scoring models.

Financial Forecasting

Predict market trends, cash flow, and business performance with AI-powered forecasting.

Customer Service Automation

Automate customer support, claims processing, and inquiries with AI chatbots and virtual assistants.

Frequently asked questions

How can I integrate AI into my financial processes?

We help you identify the best use cases like fraud detection, credit scoring, document processing, or algorithmic trading. Then we build custom AI tools that fit your operations. Our team uses models such as BloombergGPT, FinBERT, and Zest AI, ensuring your system is accurate, compliant, and ready to grow with your business.

How can I reduce costs in my fintech company through automation?

We develop AI tools that automate time-consuming tasks, including document processing, fraud detection, compliance checks, and customer support. By automating manual tasks and improving accuracy, you can save on labor costs and reduce risk. Our solutions utilize models such as FinBERT and IDP systems to tailor your specific workflows.

Can AI-driven solutions help with fraud detection in finance?

Yes. We build AI systems that detect suspicious patterns in real time using models like Fraud Detector from AWS and Falcon Fraud Manager from FICO. These tools enable financial teams to detect fraud more quickly, minimize false positives, and safeguard customer data with increased accuracy.

How can AI improve decision-making in finance operations?

AI can process large volumes of financial data, identify trends, and generate insights that support faster and more informed decisions. At Aloa, we use models like BloombergGPT and FinLlama to help clients analyze risk, forecast performance, and optimize investment strategies with greater accuracy.

How to choose the right AI partner for my finance team?

Look for a partner who brings deep technical expertise, understands the finance space, and knows how to build for long-term success. At Aloa, we work closely with your team to define goals, manage compliance, and deliver custom AI solutions that reduce risk, improve efficiency, and support your growth. Contact us today for a free consultation.

What are the latest trends in AI technology for financial services?

AI in finance is shifting toward more personalized experiences, smarter forecasting, and faster compliance. Trends include AI-powered RegTech, predictive budgeting, autonomous agentic systems, and open finance tools that give users more control over their data. These innovations are enabling financial teams to operate more efficiently, mitigate risk, and deliver better customer service.

What resources are available for learning about AI in finance?

Aloa's AI Academy offers a growing library of insights, guides, and practical examples on how AI is transforming finance and other industries. Visit our AI Resources to learn more about real-world use cases, key trends, and how to get started with AI in your financial operations.

How do I validate AI solutions before full-scale implementation in my organization?

Start with a focused proof of concept. At Aloa, we help you define a clear goal, build a lightweight version of the solution, and test it against real data and workflows. This gives you a fast, low-risk way to measure performance and make informed decisions before scaling.

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