Holyroom

Good work needsa clean room.

Holyroom builds the conditions that let people and machines do their best work together — where truth is grounded, trust is engineered, and nothing fluent gets mistaken for something true. Our first room: verifiable AI for hardware.

Step in
The premise

A sacred space is a precondition for good collaboration.

We didn't theorize it — we found it in the work: people and AI only reach their best inside a space that's protected, clean, and honest. So we build that space, and we hold three things sacred inside it.

I

Ground truth

Deterministic execution is the truth. AI translates it — it never decides what's real. Every answer traces to something measurable.

II

Zero friction

The room gets out of the way. Structured enough to never get lost, open enough to jump between layers — humans and machines, same surface.

III

Verified, not trusted

Trust is engineered, not assumed. Every claim carries its evidence. A fluent guess counts for nothing until it's shown to run.

The first room

Verifiable AI for hardware, where the surface signal lies.

In firmware and silicon, a hallucination is a dead end — days and boards, gone. We make the dead ends impossible: AI grounded in the hardware's own causal truth.

● BUILT IN THE ROOM
FIRMWARE

BIOS AI

A debug copilot for firmware bring-up — grounded in causal hardware models, on the sideband, never in the critical path.

DIAGNOSIS

Causal debug

The real cause from signal quality and causal drift — not the symptom the surface reading shows you.

AGENTS

Verifiable agents

Every output checked against ground truth before it counts — the output-side gate most agent stacks still skip.

BRIDGE

Silicon ↔ AI

Built by people fluent in both: memory, buses, thermal, BIOS — and grounding, verification, agents.

Why it holds

First principles, in the open.

We build on public standards, open tools, and hardware we own — and re-derive what we need from scratch. Research-first, reproducible by design. We don't ship a claim we can't show you running.

First principles — simple, primitive, foolproof Open foundations — public specs · clean-room Evidence over assertion Silicon meets agentic AI
Who's in the room

Engineers who work the low-level edges others avoid.

FOUNDER · SYSTEMS & AI
Jack Tseng

Memory and firmware engineering (DDR/RDIMM, SMBus/I²C, runtime platform control) meets production AI methodology — turning trust in AI from a hope into an engineered, verified system.

CO-FOUNDER · HARDWARE
— in formation —

Deep silicon, thermal and firmware, with formal-ontology AI for grounded reasoning. Name to follow.

Get in touch hello@holyroom.org