Background
Obvio AI approached us at a critical inflection point. With $31.4 million in funding and rising municipal demand, they were scaling their solar-powered AI camera systems designed to detect speeding, red-light violations, and reckless driving in real time.
The mission was clear and the technology was strong, but growth was slowing due to a talent bottleneck.
The Challenge
Obvio AI needed engineers who could contribute immediately to:
- Scalable backend systems
- Real-time video processing
- High-accuracy computer vision models
In the competitive US market, finding production-ready specialists was difficult. Each hiring delay directly impacted product velocity and expansion.
Our Approach
We engaged as a strategic hiring partner, not just a recruiter. After aligning with leadership on architecture, roadmap, and technical expectations, we executed a focused sourcing and screening strategy centered on real-world production expertise.
Talent Deployed
We placed:
- Two full-stack developers
- One computer vision engineer
Business Impact
Results were immediate:
- Infrastructure stabilized
- Feature releases accelerated
- Model performance improved
- Hiring bottlenecks were removed
Key Outcomes
We helped Obvio AI:
- Secure production-ready engineers aligned with their stack
- Strengthen backend scalability and cloud infrastructure
- Improve real-time video processing and AI model accuracy
- Accelerate product development and deployment timelines
- Turn hiring from a growth blocker into a growth driver
Conclusion
What started as a talent gap became a growth breakthrough. By delivering high-impact engineering talent, we enabled Obvio AI to scale with confidence and move faster toward its mission of making roads safer through intelligent, solar-powered AI technology.