Independent AI systems architect building local-first AI tools, governed inference infrastructure, and experimental research systems.
The interesting part is not prompting a model.
The interesting part is building the system around it: securely, observably, and in production.
Synthena · frontier research / experimental science
Experimental work on stateful AI systems, machine continuity, embodiment, persistent memory, mortality, lineage, and honesty-bounded behaviour.
Synthena Medical · applied AI + measurement discipline
Applied medical-research tooling built around capped claims, mechanistic hypotheses, fabrication checks, evidence ladders, and wet-lab-ready outputs.
InferenceMon · local/private AI infrastructure
Local-first inference monitoring for private AI stacks: usage, latency, model behaviour, health signals, and operational visibility without sending sensitive data out.
TensorFold · Apple silicon / MLX local inference
Local-first runtime work for running sparse MoE language models on Apple silicon with MLX under tight memory budgets, with bounded resident memory, explicit paging, and runtime telemetry.
Syntra / Portreeve · governance, routing, risk, control planes
Runtime layers for governed AI systems: policy execution, model routing, approvals, audit logs, run budgets, risk controls, and operational decision loops.