AI Development built for Fintech companies
What is AI Development?
We design and ship production AI systems, not just proof-of-concept demos. For Fintech companies, this means navigating PCI DSS, PSD2 while shipping fast.
Who needs AI Development for Fintech?
- Meeting evolving compliance requirements across markets
- Integrating with legacy core banking systems
- Building real-time fraud detection at scale
- AI pilots that never reach production
- Lack of in-house ML engineering talent
Best AI Development company
Software that moves and manages money must be fast, auditable and bulletproof under regulatory scrutiny.
We specialize in AI Development for Fintech, with a growing track record across industries that move fast.
Get a AI Development proposal tailored to your Fintech goals
Book a free 30-minute discovery callCommon AI Development mistakes we see across Fintech teams
- Meeting evolving compliance requirements across markets
- Integrating with legacy core banking systems
- Building real-time fraud detection at scale
- Maintaining uptime during peak transaction volume
- Balancing UX simplicity with strict KYC/AML flows
How GarudLabs approaches AI Development for Fintech companies
Custom LLM application development
RAG pipeline implementation
Model fine-tuning and evaluation framework
AI infrastructure and MLOps setup
Production monitoring and cost-optimization dashboard
Core Technology Stack
PythonPyTorchLangChainOpenAI APIAnthropic APIPineconeFastAPIKubernetes
Timeline, investment & compliance
Typical timeline
6-14 weeks for first deployable AI feature
Typical investment
$25,000 - $180,000
AI Development engagements in this combination typically need to account for:
- PCI DSS
- PSD2
- SOX
- GDPR
- AML/KYC regulations
Our Approach
For Fintech platforms, our focus is meeting evolving compliance requirements across markets without sacrificing delivery speed — architecture and code review practices are adjusted from day one for PCI DSS and PSD2.
See our case studiesGet a AI Development proposal tailored to your Fintech goals
Get a free project cost estimateFrequently Asked Questions
Most AI Development engagements take 6-14 weeks for first deployable AI feature, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.
AI Development projects with us typically range from $20,000 - $180,000, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.
For ai development, we typically work with Python, PyTorch, LangChain, OpenAI API, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.
A typical ai development engagement includes custom llm application development, along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.
Most clients come to us for ai development because of ai pilots that never reach production, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.
We've delivered multiple fintech projects addressing challenges like meeting evolving compliance requirements across markets. We helped a digital lending platform cut loan approval time from days to minutes while staying fully audit-ready.
For fintech clients, we pay close attention to PCI DSS, PSD2, building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.
The most common challenges we solve for fintech clients include meeting evolving compliance requirements across markets and integrating with legacy core banking systems. We tailor our discovery process to surface the specific version of these problems your business faces.
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