Preserve Quality
Distillation must be measured
Smaller models are only useful when they retain the behaviors that matter. Kanseko emphasizes evaluation and regression tracking throughout the model improvement process.
About Kanseko
AI distillation research with a practical deployment focus.
Kanseko is a Texas-based AI company focused on model distillation, model evaluation, and efficient language model deployment.
Company focus
Kanseko works on the problem of making powerful language model technology more practical to use. The company focuses on distillation research and distillation-oriented services for teams that need smaller, faster, more cost-aware AI systems.
The work is centered on preserving useful model behavior, evaluating quality changes, reducing deployment friction, and making model improvement more measurable.
Principles
How Kanseko approaches model improvement
Reduce Cost
Efficiency should be practical
Distillation should support real deployment gains, including lower serving costs, lower latency, easier hosting, and better fit for constrained environments.
Research First
Better methods matter
Kanseko is built around focused AI research, with an emphasis on distillation methods that can translate into practical systems and services.
Founder
Fernando Canseco
Fernando Canseco is the founder of Kanseko. He holds a B.S. in Computer Science and an M.S. in Artificial Intelligence, with work spanning software engineering, machine learning, natural language processing, computer vision, and language model research.
Kanseko reflects his focus on applied AI systems, distillation research, model evaluation, and practical software development for efficient language model technology.
Contact
Business and research inquiries
For inquiries related to model distillation, evaluation, applied AI systems, or research partnerships, contact Kanseko below.
Email
contact@kanseko.com