KHALM

Deterministic neural compute

AI that doesn't guess. It learns, reasons, and cites its work.

A neural engine that runs on edge silicon — zero GPU required, byte-identical from one run to the next, and trained on unlabeled data. No hallucination. No drift. No cloud tax.

See KHALM-NOVA The problem
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KHALM-NOVA

Neuromorphic One-class Vision Architecture

Your GPU knows cars.
This monitor flags everything else.

A learned normal model watches an event camera stream for 20 minutes of routine driving. After that, anything unexpected drops its confidence score within 33 ms of entering the frame. No labels. No training on anomalies. No GPU required at inference.

0.636AUROC
Combined, 33ms decision latency. Within-clip 0.845 / 0.588 — parity with a hard 500ms window at 15× lower latency. First unsupervised anomaly result on DSEC.
20minutes
Of normal highway driving is all it takes. No labelled dataset, no weeks of tuning.
1mW
Inference on edge silicon — no cloud, no GPU, no thermal throttle.
KHALM-NOVA event-camera anomaly detection — normal frame (left) shows green overlay, anomaly frame (right) shows red novelty tiles
Full story + video Measured results
Next: NullTick
NullTick

A neural server engine for
multiplayer games.

NullTick replaces the fixed 60 Hz tick loop with a neural scheduler that only fires when something changes. The same deterministic engine, applied to multiplayer networking: fewer CPU cycles, lower bandwidth, identical game state on every peer.

Visit NullTick →
2,160×fewer ticks
In an idle Minecraft server scene (60 Hz baseline vs event-driven). The engine sits silent when nothing moves; it spikes only on real state changes.
98% CPU idle
Headroom on a dedicated server during normal play. The neural scheduler consumes compute only when the game state actually demands it — no spin-waiting for a clock tick.
3engines
Unity, Unreal, and Godot — NullTick ships SDKs for all three. Same deterministic brain, same plugin API, one line to enable.

Built to drop into your engine

Unity P/Invoke · Burst ECS Shipping Unreal Engine UE plugin · NullTickRuntime Shipping Godot Godot · GDScript Shipping Custom engine (C ABI) 16-symbol C ABI C ABI ready
Next: The wall
01

The industry's AI wall

Today's dominant AI paradigm — large stochastic models on server GPUs — has three fundamental problems that no amount of scale solves:

Hallucination
Non-deterministic by design
A stochastic model can give three different answers to the same input. For safety-critical decisions — autonomous driving, industrial monitoring, financial trading — maybe is not acceptable.
Drift
No two deployments are identical
Model updates, A/B tests, and cloud-side changes mean the "same" system behaves differently tomorrow. A frozen, deterministic brain eliminates this failure class entirely.
Cloud tax
Inference belongs on the edge
Every inference round-trips through a GPU datacenter, burning watts and adding latency. The future is silicon that runs AI where the data lives — at mW power, with no network dependency.
Next: The substrate
02

The substrate: a neural engine
that keeps its word.

Every KHALM product — KHALM AI, NullTick, and what comes next — runs on the same substrate: a learned neural model that is deterministic by construction, not by capping a stochastic system.

Deterministic
Byte-identical, every run, forever
Same input produces the same output — every time, on every machine, cold-loaded from a frozen brain. An alarm from March replays identically in December. No RNG, no version drift, no "it worked on my machine."
No train-time labels
Learns normal; anomaly is emergent
The engine watches unlabeled data and builds a model of what is normal. Novelty is detected as deviation from that learned baseline — no manual labelling of faults or anomalies required, which means zero bottleneck for deployment.
Edge-native
No MAC units, no GPU, no cloud
The engine uses only integer arithmetic — no multiply-accumulate operations. This makes it deployable on microcontroller-class silicon at milliwatt power, with predictable real-time latency and zero cloud dependency.
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Built something that needs a brain that keeps its word?

We're heads-down building. If your application demands deterministic, auditable, edge-deployable neural inference — let's talk.