Research
The unsolved problem in frontier AI is not encoding — it is recall, and reliability under constraint. SyscallAI's research sharpens retrieval geometry and makes model outputs accountable.
C3 · CAUSAL CONTEXT COMPRESSION (THE THEORY)
C3 is the scientific contribution beneath our platforms: a wire protocol with formal proofs — Fisher–Neyman sufficiency, scale invariance, and rate–distortion bounds. It defines what context can be compressed without losing what causally matters.
CAUSALIDATION (THE PLATFORM)
Causalidation is the commercial platform implementing C3. In validation it passed 22 of 24 checks across 8 datasets. The platform makes its full case at causalidation.com.
ADAPTIVE PARSE (APPLIED EXTRACTION)
Adaptive Parse routes structured documents to a deterministic parser and falls back to a model only when needed — on a production price book it reached 101.1% coverage at $0. It lives at adaptiveparse.com.
We publish the problem, the outcome, and the shape of the approach — not the recipe. The platforms above make their own first impression on their own domains.