Generative AI Development built for Fintech companies
What is Generative AI Development?
We turn generative AI from a flashy demo into a feature your customers depend on. For Fintech companies, this means navigating PCI DSS, PSD2 while shipping fast.
Who needs Generative AI Development for Fintech?
- Meeting evolving compliance requirements across markets
- Integrating with legacy core banking systems
- Building real-time fraud detection at scale
- Generative AI demos that impress but never ship
- Hallucinations undermining user trust in AI features
Best Generative AI Development company
Software that moves and manages money must be fast, auditable and bulletproof under regulatory scrutiny.
Scaling Fintech operations in usually means investing in Generative AI Development sooner than expected.
Schedule a free Generative AI Development discovery call with our Fintech team
Book a free 30-minute discovery callThe real cost of getting Generative AI Development wrong in Fintech
- 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
The GarudLabs framework for Fintech Generative AI Development projects
LLM application architecture and prompt engineering
Retrieval-augmented generation (RAG) pipeline
Output evaluation and guardrail framework
Cost monitoring and model routing setup
Fine-tuning pipeline for domain-specific tasks
Core Technology Stack
OpenAI APIAnthropic APILangChainLlamaIndexPineconePythonFastAPI
Timeline, investment & compliance
Typical timeline
6-14 weeks
Typical investment
$25,000 - $160,000
Generative AI Development engagements in this combination typically need to account for:
- PCI DSS
- PSD2
- SOX
- GDPR
- AML/KYC regulations
Proven Results
"We helped a digital lending platform cut loan approval time from days to minutes while staying fully audit-ready."
Read the full case studyGet a clear Generative AI Development roadmap for your Fintech business in
Get a free project cost estimateFrequently Asked Questions
Most Generative AI Development engagements take 6-14 weeks, 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.
Generative AI Development projects with us typically range from $20,000 - $160,000, 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 generative ai development, we typically work with OpenAI API, Anthropic API, LangChain, LlamaIndex, 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 generative ai development engagement includes llm application architecture and prompt engineering, 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 generative ai development because of generative ai demos that impress but never ship, 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.