Research and Development

 We conduct focused R&D on systems designed to operate reliably under constrained or adversarial conditions, emphasizing simplicity, testability, and integrity of results.
 

Status:

Early R&D / Prototype exploration

 Patent status: Patent pending 

What it is:
A passive hydrogel-based implant concept designed to regulate fluid flow without electronics, relying on material response to environmental conditions such as pressure, temperature, or chemical gradients.

Why it matters:
Passive regulation may reduce complexity, power requirements, and failure modes in environments where active control systems are impractical or undesirable.

Current focus:

• Material selection and stability
   
• Swelling and contraction behavior
   
• Flow response characterization
   
• Repeatability under controlled conditions
   

Not yet:

• Not approved for clinical or medical use
   
• Not commercially available
   
• No diagnostic or therapeutic claims
   

Status:
Active research / Method development

What it is:
A research effort examining the ARC (Abstraction and Reasoning Corpus) benchmark to study how AI systems respond under high-ambiguity, low-context problem settings.

Why it matters:
Understanding when models fail, abstain, or hallucinate provides insight into AI reliability, evaluation limits, and the difference between performance and integrity.

Current focus:

• Analysis of failure modes and abstention behavior
   
• Benchmark structure and ambiguity assessment
   
• Comparative model response patterns
   
• Documentation of evaluation constraints
   

Not yet:

• Not a commercial benchmarking service
   
• Not a model performance ranking product
   
• Not a general-purpose AI evaluation tool