Vol. 01 — Folio An occasional journal of computation
Est. MMXXV Rev 2026·04·29 ↑ Signal on
Frontispiece — A Treatise on Computation

Of gates
& machines.

Logic Gate Labs designs high-performance AI systems from first principles — etched in silicon, proven in production, and tuned for the workloads that other shops won't touch.

Practice
AI · HPC · Inference
Posture
Independent studio
Status
Accepting partners
Plate I — Schematic, NAND Drawn from life
§ I — Practice

Three circuits
we run cold.

Specialist work, not a menu of services. Every engagement is bespoke; the categories below are the lens through which we approach a brief.

Fig. I·aAND

Applied AI
development.

Custom systems for problems that don't fit the off-the-shelf prompt-and-pray playbook. Models, data pipelines, evaluation harnesses, the lot — built to outlive the demo.

Fig. I·bOR

High-performance
computing.

Throughput, latency, dollars per inference. We profile, port, fuse and quantise until the workload runs the way the silicon was designed to run it.

Fig. I·cXOR

Machine-learning
integration.

Embedding ML where it has to live alongside the rest of the business: legacy data, hard SLAs, regulated environments. The work nobody finds glamorous, done well.

§ II — Method

A small studio,
seriously equipped.

Practitioners first, technologists second, consultants only by accident. Below: the working brief.

Logic Gate Labs is at the front edge of applied artificial intelligence — not the marketing front edge, the actual one, where models are profiled in nanoseconds and a poorly chosen kernel costs a five-figure cloud bill before lunch.

We build high-performance software that pushes the boundaries of what's possible on the hardware our clients can afford to run. Our team combines low-level systems craft with a working understanding of the businesses we serve. We do not write whitepapers; we ship.

Every brief begins with the same three questions: what is the workload, what is it worth, and what is it allowed to cost? Everything else — the architecture, the framework, the choice of model — falls out of the answers.

We are interested in the boring half of AI: the half that has to keep working at three in the morning when nobody is watching. — House note, 2026
§ III — Correspondence

Send a signal.

Briefs, problem statements, half-formed hunches. We read everything.

Tell us what's too slow, too expensive, or too strange for the off-the-shelf — and we'll tell you whether it's interesting. Write to info@logicgatelabs.com.