Background
LuneData was built on a simple belief: financial institutions are sitting on massive untapped value within their transaction data. Backed by $2.4 million in funding, the company developed an AI-driven transaction enrichment platform that transforms raw financial data into actionable intelligence.
As adoption grew, banks and fintech clients demanded:
- Faster innovation cycles
- Stronger backend performance
- Secure mobile experiences
- More advanced AI-powered insights
At the same time, generative AI opened new opportunities to elevate financial analytics.
The Challenge
LuneData needed highly specialized talent across engineering and product, and needed it quickly.
The core constraints were:
- Fintech infrastructure complexity
- Data-sensitive compliance needs
- Competitive market for AI and product talent
Our Approach
We joined as a strategic hiring partner and aligned directly with founders and technical leadership to understand:
- Platform architecture
- AI roadmap
- Long-term product vision
From there, we executed a focused hiring strategy centered on impact, scalability, and domain expertise.
Talent Deployed
We placed:
- Android developer
- Ruby on Rails developer
- Generative AI engineer
- Product analyst
Business Impact
The impact was immediate:
- Mobile performance improved
- Backend systems became more scalable and efficient
- AI-driven insight generation advanced significantly
- Product execution gained clarity and structure
Key Outcomes
We helped LuneData:
- Build a cross-functional team aligned with fintech and AI innovation
- Strengthen secure mobile and backend infrastructure
- Expand generative AI capabilities for smarter financial insights
- Improve product roadmap execution and data-driven decision-making
- Accelerate innovation without compromising system reliability
Conclusion
What began as a multi-role hiring need evolved into a strategic growth partnership. By delivering the right mix of AI, engineering, and product expertise, we enabled LuneData to scale with confidence and move closer to its mission of turning financial transaction data into real-time intelligence.