Built by AI veterans to bridge the pilot-to-production gap
Neo.AI was founded to solve a critical problem: 72% of AI projects never make it from pilot to production. Despite billions invested in AI development, most companies struggle to scale their models beyond proof-of-concept.
We bridge this gap by providing end-to-end AI solutions that combine high-quality data labeling, custom model development, and production-ready infrastructure. Our approach is built on real-world experience scaling AI systems that serve billions of users.
Neo.AI was founded by engineers and data scientists with extensive experience building AI systems at scale. Our team has worked on projects ranging from computer vision for autonomous systems to large language model fine-tuning for enterprise applications.
We've seen firsthand the challenges that derail AI initiatives: poor data quality, inadequate infrastructure, and the gap between research prototypes and production systems. Neo.AI was created to provide the expertise and resources companies need to overcome these obstacles.
We believe successful AI deployment requires three elements:
1. High-Quality Data: Production AI systems require carefully curated, accurately labeled data at scale. We provide enterprise-grade annotation with 98%+ accuracy and multi-layered quality controls.
2. Custom Models: Off-the-shelf models rarely meet enterprise needs. We develop and fine-tune models specifically for your use case, ensuring optimal performance in production.
3. Production Infrastructure: The final mile from prototype to production requires robust MLOps, monitoring, and deployment infrastructure. We architect complete systems that scale reliably.
We guarantee 98%+ accuracy because production systems require production-grade data. No shortcuts.
We measure success by your business outcomes, not just technical metrics. ROI drives decisions.
Clear communication, honest timelines, and no surprises. We're partners in your success.