Distillation Planning
Define the target behavior
Identify what a smaller model needs to preserve, which tasks matter, and where compression can create the most practical value.
Distillation Research + Services
Smaller, faster language models without careless quality loss.
Kanseko focuses on model distillation, evaluation, and deployment-focused AI research for teams that need capable language model systems with lower cost, lower latency, and clearer measurement.
Distillation
Compress useful behavior into smaller systems.
Evaluation
Measure quality, regressions, and failure modes.
Deployment
Improve cost, latency, and practical usability.
What We Do
Distillation as a practical AI service.
Kanseko helps organizations think through when and how to use model distillation. The work begins with the practical question: what behavior needs to be preserved, what can be simplified, and how will success be measured?
Our public focus is model distillation research, model evaluation, and deployment-oriented model improvement. The goal is to make language model systems more efficient without relying on vague claims about quality.
Services
Focused distillation support
Evaluation Design
Measure before and after
Build evaluation sets and reporting workflows that track whether a distilled model is improving, regressing, or changing behavior in unexpected ways.
Research Support
Explore distillation methods
Investigate approaches for improving smaller language models while keeping methodology controlled, measurable, and deployment-aware.
Deployment Review
Connect model quality to cost
Evaluate whether a smaller model meaningfully improves latency, hosting cost, reliability, and operational simplicity for the intended use case.
Research Focus
Distillation research with private methodology.
Kanseko researches ways to make language model distillation more effective and more measurable. The public focus is the outcome: preserving useful behavior while reducing the cost and complexity of running capable AI systems.
- Behavior preservation during model distillation
- Quality evaluation for smaller language models
- Regression tracking across model versions
- Cost-aware model development workflows
- Deployment-focused validation and model selection
Contact
Distillation research or service inquiries
For business, research, or partnership inquiries related to model distillation and efficient language model deployment, contact Kanseko.
contact@kanseko.com