About
Our Mission
We develop customized AI solutions to provide real business impact – driving better outcomes, improving employee efficiency, and deriving actionable insights from complex data.
Our Goal
Bridging AI Innovation & Real-World Impact
At Title AI, we bridge the gap between cutting-edge AI research and real-world impact. We don’t just build AI—we create scalable solutions that fit seamlessly into your workflows. Our solutions help businesses automate tasks, improve decision-making, and uncover new opportunities.
We believe AI should be accessible, explainable, and results-driven. Our tailored, high-performance systems boost efficiency without adding complexity, ensuring AI delivers real value.
Our Approach
Research-Driven, Practical, and Client-Focused
AI is constantly evolving, and staying ahead means adapting. We track industry trends and breakthroughs to ensure our solutions use the latest in machine learning, computer vision, and NLP. By combining custom development with off-the-shelf tools, we deliver high-quality, scalable AI without reinventing the wheel.
Beyond technical excellence, we focus on clear communication, precise project management, and realistic timelines. We work closely with clients to define goals, set accurate expectations, and align AI with real business needs. Our success is built on transparency, adaptability, and delivering results—on time and within scope.
Our Founder
Title AI was founded in 2025 by Jack Teitel, an AI expert with 10+ years of experience developing and deploying AI solutions across industries. As an AI generalist, he has led projects in computer vision, NLP, predictive analytics, time series forecasting, and graph analysis.
A former AI professor and published researcher, Jack stays at the forefront of AI advancements, combining cutting-edge research with real-world applications to build innovative solutions.
More About Jack Teitel
Jack began his AI career in 2014 at the University of Rochester under Dr. Henry Kautz, a leading AI researcher and former Division Director at the National Science Foundation. There, he developed a passion for research, exploring how social media data could be leveraged for social good.
After earning his Master’s in Data Science in 2017, Jack led the data science team at URMC’s Health Lab, an internal AI consulting group for a network of hospitals and medical practices. Under his leadership, the team grew significantly, deploying AI-driven tools that improved clinical outcomes and provider efficiency. He also served as an Adjunct Professor of Data Science, designing and teaching a graduate course on machine learning in industry.
Jack later worked in fraud detection at Blue Cross Blue Shield before joining Strong Analytics, a boutique AI consulting firm, as a Senior Machine Learning Scientist. At Strong, he refined his consulting expertise, delivering AI solutions across healthcare, finance, and sports analytics.