Accelerating Time-to-Market for a Series A FinTech with an AI-Driven iOS Trading App
Industry FinTech
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$25M Series B Secured
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16 Weeks MVP Launch
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US-based Startup
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100K+ Users in Year 1
"The speed and expertise of the Developers.dev team were game-changing. Their AI/ML pod not only implemented our core algorithms but also suggested improvements that significantly enhanced performance. They understood the urgency of a startup and delivered a product that allowed us to secure our Series B funding."
Founder & CEO
A well-funded US-based startup aiming to disrupt the retail investment space. Their vision was to create an iOS-first platform that uses AI to provide personalized investment advice and automated portfolio management for millennial and Gen Z users.
The client had a brilliant concept and a team of data scientists, but they lacked the in-house iOS development and backend engineering capacity to build a secure, scalable, and user-friendly application quickly enough to capture market share. They needed a partner who could move at startup speed while ensuring institutional-grade quality and security.
The need to launch an MVP within 4 months to secure the next funding round.
Integrating their proprietary Python-based ML models into a high-performance mobile experience.
Implementing robust security measures, including biometric authentication and data encryption, to build user trust.
Integrating with multiple financial data APIs for real-time stock quotes and market news.
We deployed our "AI / ML Rapid-Prototype Pod," a specialized team designed for speed and innovation.
We worked with the client to aggressively prioritize features for an MVP, focusing on the core value proposition.
Our backend team containerized their Python ML models and exposed them via a secure, low-latency REST API built on AWS Lambda (serverless).
The front end was built in native Swift using SwiftUI to accelerate UI development and create a modern, fluid user experience.
We integrated Face ID/Touch ID from day one and used Stripe for secure identity verification and bank account linking.
Utilized a dual-track Agile process: one track for the iOS app, one for the backend API.
Set up a CI/CD pipeline using Fastlane and Jenkins for automated daily builds to TestFlight.
Employed a T&M engagement model to provide the flexibility needed for a rapidly evolving startup project.
The iOS team worked in close collaboration with the client's data scientists via a shared Slack channel.
Conducted rigorous performance testing to ensure real-time data feeds were displayed without lag.
Successfully passed a third-party penetration test before launch.
The MVP was successfully launched in the App Store, meeting the aggressive deadline.
The successful launch and positive early traction were instrumental in the client closing their $25M Series B funding round.
The app's intuitive design and snappy performance earned it a 4.9-star rating.
The architecture we built allowed the client to seamlessly add new features and scale to over 100,000 users in the first year.
Radical Certainty
Elite, In-House Talent
Enterprise-Grade Security
AI-Augmented Delivery
Zero-Risk Talent Guarantee
Full IP Ownership
Deep Domain Expertise
An Ecosystem, Not a Body Shop
Seamless Global Collaboration
This case study proves our ability to blend startup agility with enterprise-grade engineering. By providing a complete, cross-functional team, we enabled a visionary founder to execute their idea quickly and correctly, leading to significant business success.