Specialized Models
Models shaped around a domain-specific target behavior.
Products / Capability
Custom Models
When generic capability reaches its limit.
Positioning
The right depth for the actual problem.
We do not train custom models because it is technically interesting. We investigate them when a problem has requirements existing models cannot reasonably satisfy. Often the answer is no: better context, routing, retrieval, fine-tuning or architecture may be enough.
Model spectrum
01Prompt / Context Engineering→02Model Selection & Routing→03Fine-Tuning→04Specialized Models→05Custom Architecture→06Custom Neural Systems
What we work on
Custom Models, designed as a system.
Custom Neural Architectures
Architecture research when standard model structure creates a ceiling.
Model Training
Training approaches considered only when data and evaluation justify them.
Inference Systems
Serving and inference behavior designed around the system constraint.
Hybrid Models
Combinations of model types and system components.
Deterministic Intelligence
Constrained behavior where explicit decisions matter.
Before building, we evaluate the real bottleneck, dataset sufficiency, target behavior, evaluation path, cost and whether custom inference creates meaningful advantage. Potential application areas include healthcare/medical intelligence and fitness/performance intelligence; no clinical or performance outcomes are implied.
Next decision
Explore a custom model problem
Start with the real situation. We will help determine the system depth it requires.
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