An independent engineering studio building unique diagnostic tools, SAT-solver and tensor engines, cybersecurity, and hybrid AI systems — grounded in original research in mathematical physics and information theory.
Unique, first-principles diagnostic instruments that localize the real cause, not just the symptom.
Security-relevant systems work — reverse engineering, credential-layer analysis, and forensic recovery.
Boolean-satisfiability engines for hard combinatorial and constraint problems.
Tensor-method compute for high-dimensional structure and contraction-heavy workloads.
Multi-agent orchestration combined with exact solvers and models — reliability engineered in.
Methods trace to open, DOI-backed research; the engines themselves are proprietary.
Built solo, at institutional scale — one person owning the whole stack, from theory to engine to operation. Systems are proprietary and in active development; the research foundation is released openly so the reasoning can be checked.
Jacob Bulmash — AI-systems engineer and independent researcher (Sydney, Australia). Author of open preprints in cosmology and mathematical physics, each with reproducibility packages.
Enquiries: REPLACE_WITH_YOUR_EMAIL · (tell me which address to use and I'll drop it in.)