An ad agency owner wanted to see the detailed insights of the campaigns they run, so they needed a tool that could provide them with campaign analytics.
Artificial Intelligence in Finance
Financial institutions give poor customer experience due to tons of manual processes and slow responses. Artificial intelligence in finance helps them solve these challenges and gain the advantages. Our fintech software development services deliver AI for financial services solutions.
Fintech App Development Services
ARCQ integrates artificial intelligence in finance applications for digital banks, payment processors, robo-advisors and RegTech startups. Our fintech software development services cover algorithmic trading systems, automated compliance monitoring, or real-time payment processing.
Our approach addresses the problems that keep financial service providers working late and could destroy your reputation overnight.
Our Fintech Software
Development Services
Consulting for AI in Finance
Our consultancy helps financial service companies to solve scaling challenges. ARCQ's fintech app development services roadmaps align with your business objectives to identify competitive advantages and technology gaps.
AI for Fraud Detection
Advanced fraud detection systems use generative AI to identify sophisticated attack patterns that traditional systems often miss. AI for financial services analyses device fingerprinting and user patterns simultaneously.
Synthetic fraud detection catches artificially generated identities and documents. Real time scoring evaluates transaction risk within milliseconds. Plus, adaptive algorithms learn from new fraud vectors automatically without manual rule updates.
Synthetic fraud detection catches artificially generated identities and documents. Real time scoring evaluates transaction risk within milliseconds. Plus, adaptive algorithms learn from new fraud vectors automatically without manual rule updates.
Artificial Intelligence in Finance Loan Processing
Automated loan processing systems evaluate applications, verify documents, make approval decisions in hours instead of days and automate risk assessment. Additionally, clients are notified automatically at each stage of the process.
Payment Processing
Artificial Intelligence for Finance helps you to process payments instantly as high-frequency trading algorithms execute thousands of trades per second with millisecond latency requirements. All of your cross-border payments get settled in minutes and currency conversion happens at optimal rates through algorithmic timing.
Intelligent Credit Scoring Systems
Machine learning credit models analyse alternative data sources beyond traditional credit reports. Software development for financial services creates scoring systems that evaluate thin-file borrowers and emerging market clients.
With all of these, AI provides clear reasoning for credit decisions to meet regulatory requirements.
With all of these, AI provides clear reasoning for credit decisions to meet regulatory requirements.
Industries We Serve
Our Process to Implement AI for
Financial Services
Kick-off
We start providing fintech app development solutions by understanding your challenge, your users, and how success will be measured.
Map
Together, we outline how the system should work and pick the right AI models for the job.
Design
We plan how everything connects, including data flow, integrations, and user access.
Build
We refine the AI in finance with prompts, knowledge, or custom data to make it perform well for your use case.
Safety
We add safeguards so the system is reliable, secure, and aligned with regulations.
Test & launch
We test thoroughly, release to a small group first, gather feedback, and then roll it out smoothly.
Why Choose ARCQ as a FinTech App
Development
Company?
Unlike traditional fintech software development companies that build software for established banks, ARCQ specialises in solutions for finance startups that focus on growth. Our fintech software development services focus on solving immediate operational problems and building scalable, compliant systems that grow with your user base.
Our every solution is tested in production settings before rollout. That’s why we have been rated with the highest quality by our valuable clients at Clutch and DesignRush.
How ARCQ AI Customer
Onboarding Process Works
Discovery
Understand your challenges and use cases.
Scope
Define project scope, timeline, and outcomes.
Validate
Test feasibility with a small pilot (MVP).
Validate
Test feasibility with a small pilot (MVP).
Development
Build and tailor the full solution.
Development
Build and tailor the full solution.
Deploy & Test
Launch, monitor, and refine.
Scale
Expand capabilities and adapt as needs change.
ARCQ’s Tech Stack to Provide Artificial
Intelligence in Finance Solutions
Languages
AI & ML Libraries
Data & Storage
Backend
Front-end & Client Apps
Cloud & Infra
SMBs Trust our Custom AI
Development Services
We are honoured to rank as the top AI consulting and development agency at DesignRush.
“ARCQ helped us nail down the user flows and tech roadmap for our clients’ computer vision tool in just three weeks. Thanks to their clear plan, we won internal approval and kicked off development a month later.”
Nicola De CoppiFounder & CEO 
“Working with ARCQ was a huge success for our team. In just one week, they mapped our reporting flow and set up a good plan, nothing technical needed from our side. Their process helped us see where AI could really help and gave us a clear plan to make it happen.”
Cameron MorrisCEO 
“Working with ARCQ was a smooth process for us. They sat with us, studied every call and chat, and showed how a WhatsApp autoreply could save us heaps of time without changing how guests reach us. I’m looking forward to the pilot.”
BishwasCEO of Timur Restaurant 
Case Studies
These case studies are examples of how small businesses are using generative AI development services to get their desired results. ARCQ has made their lives better either by removing their limitations or increasing their ROI.
Timur Restaurant contacted us to automate responses to common inquiries. The restaurant owner repeatedly answered the same questions, and missed chats resulted in lost covers. This created inefficiencies and negatively impacted customer service during busy times.
Account managers at Foxergo were burning hours writing post-campaign and weekly reports. The work was dull and often resulted in hours of manual work.
Our system uses several cameras to turn people and their surroundings into accurate 3D models, making complicated scenes easier to work with. We believe in keeping advanced technology accessible for everyone.
Our mask detection system uses facial recognition and computer vision to spot missing face masks and sends alerts when needed. The system works for businesses and different public sectors.
We combined a Python script and AI tools to automate ad design, script writing, and video editing. This change cut manual work by 50%, 2x video editing speed, and allowed the agency to take on more clients without growing their team.
Got an idea for your product?
We will build it for you from scratch and share the structured documentation to help you keep your system in top shape
AI for Financial Services FAQs
Artificial Intelligence in Finance refers to the use of AI technologies such as ML and NLP to enhance financial institutions’ ability to analyse data, automate processes, etc.
It mimics human intelligence and decision-making to modernise financial services, detect fraud, manage risk and offer insights for efficiency. AI is only going to grow in the financial sector.
It mimics human intelligence and decision-making to modernise financial services, detect fraud, manage risk and offer insights for efficiency. AI is only going to grow in the financial sector.
Yes, our software development for financial services specialises in building software that can integrate with almost all major banking partners and regulatory reporting systems.
Traditional banking software focuses on stability and regulatory compliance above all else. Custom fintech software are built using fintech app development services that prioritise rapid iteration and user experience. This allows fintech companies to launch new features in weeks rather than months.
AI for financial services facilitates risk assessment and fraud detection by identifying patterns in transaction data that are invisible to traditional rule-based systems. Plus, a ResearchGate study shows that machine learning models adapt to new fraud patterns automatically and reduce false positives.
Fintech companies must conduct customer due diligence and screen transactions to identify and prevent illicit activities. Noncompliance can result in hefty fines and damage a fintech’s reputation.
Modern fintech infrastructure built with cloud-native architecture can scale from thousands to millions of users within weeks. Auto-scaling systems handle traffic spikes during market volatility or viral growth without manual intervention.
Absolutely. Recent industry analysis shows that 75% of financial services firms have adopted AI solutions. The community banks are seeing faster implementation benefits because they can make technology decisions more quickly than large institutions with complex approval processes.
Most clients notice improvements in processing speed and customer satisfaction within 4-12 weeks. High-tier benefits typically become apparent within 3-6 months as the system learns your customer base and transaction patterns.
You can email us at doyeoun@arcq.ai or fill in your requirements here, and Mr. Lee will contact you. You can also see our customer onboarding process above.