Production Validated
Patent Pending

Intelligence
at wire speed

The first commercially deployed autonomous infrastructure intelligence platform. Install it. It figures out what your infrastructure needs — then becomes that thing.

$ curl -sSL install.ternaryphysics.com | sh Kernel 6.8.0 detected BTF enabled Observer attached to eth0 Shadow mode active — 30 day observation period $ _
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FIRST COMMERCIALLY DEPLOYED

Autonomous infrastructure intelligence

Not a monitoring tool. Not an alerting layer. Autonomous intelligence embedded at the earliest possible point in your network stack — observing, learning, and acting before your application sees anything.

Live Production System

Deployed March 2026 · Continuous learning for 42+ hours · 22 hot-swap deployments with zero memory leaks

100%
Production accuracy
Latest model v021
22
Model versions deployed
Zero memory leaks, zero cleanup failures
42h
Production uptime
Approaching 48h milestone
0
False positives
Zero manual tuning

Decides in microseconds.
Learns continuously.

Every packet gets an AI decision at the kernel boundary — before userspace sees anything. The system adapts over time, improving its accuracy as it sees more of your traffic patterns.

Decision Path — per packet
Linux Kernel
Packet arrives → AI scores → Action taken
<1μs
Userspace
Not in decision path
Cloud
Never involved
External AI
Already happened — at the kernel
<1 μs — decision made, packet handled
Improvement Path — background
Linux Kernel
Extracts features from traffic
telemetry flows up →
Userspace
Training pipeline runs here
model updated →
Validation
Performance gates ensure improvement
pushed back down →
Linux Kernel
Hot-swaps improved model. Zero downtime.
0 decisions made while model improves

Runs safely in your kernel

AI decisions at the kernel boundary, with proven sandboxed execution. Same technology powering Cloudflare, Netflix, and Facebook infrastructure.

eBPF Verified

Every line of code is verified by the kernel before execution. No crashes, no memory corruption, no kernel panics.

Sandboxed Execution

Runs in a restricted environment. Can't access arbitrary memory, can't execute system calls, can't interfere with other processes.

Production Proven

Built on eBPF, the same technology handling billions of requests per second at scale. Battle-tested in the world's largest infrastructure.

Bounded Resources

Memory usage is capped, loops are bounded, execution time is limited. The system enforces strict resource constraints automatically.

Deploy once.
Improve forever.

The system adapts to your infrastructure over time. The longer it runs, the better it understands your specific patterns.

First Live
Shadow mode complete. Learned your baseline. Now acting.
Accurate
False positives drop. Detection sharpens with more data.
Specific
Knows your services individually. Understands your traffic patterns.
Specialized
Tuned specifically to your infrastructure. No generic rules.
AI INGEST INFER ACT LOG RETRAIN

Built different

No GPU required

Runs entirely on CPU — bare metal, VM, or Kubernetes node. No expensive hardware, no cloud dependencies, no sidecars. One binary, anywhere Linux runs.

Your data stays yours

Everything runs on your infrastructure. No telemetry leaves your network. No vendor access. Complete control — required for air-gapped environments.

Zero configuration

No rules to write. No thresholds to tune. The system learns what's normal for your specific environment and adapts to changes automatically.

Safe by design

Sandboxed at the kernel level — verified before execution, cannot crash your system, cannot access arbitrary memory. Shadow mode for 30 days before it acts on anything. Performance gate blocks regressing models before deployment.

Production-validated with 22 autonomous model deployments — zero memory leaks, zero cleanup failures across hot-swaps. Memory-bounded for any hardware from 512MB to multi-GB servers. Stress-tested with 10M+ samples and resource exhaustion scenarios. One-command rollback for emergencies.

From install to intelligence

Install in seconds

One command for bare metal or VMs. One manifest for Kubernetes — deployed as a DaemonSet, one per node, no sidecars, no service mesh changes. Auto-detects your environment. Shadow mode starts immediately.

Learns your infrastructure

Observes real traffic patterns. Identifies what healthy looks like. Builds a model unique to your environment — no generic rules, no manual tuning, no false positives.

Acts at wire speed

Decisions happen in microseconds — routing traffic, avoiding failures, blocking threats, filtering telemetry — all before your application even sees the connection.

Determines its purpose. Then masters it.

After shadow mode, the system analyzes what your traffic actually needs and auto-classifies itself — Threat-Response, Traffic-Steering, Data-Collection, and more. Then it retrains continuously, expanding what it measures. Zero manual tuning. Every decision logged — tp audit tail to inspect any of them.

It determines its own
purpose. Then masters it.

You don't configure TernaryPhysics for threat response, or traffic steering, or data collection. It analyzes your traffic, determines what your infrastructure needs, and becomes that thing.

The system automatically discovers what domain it operates in based on your traffic patterns. Different environments produce different specializations.

No manual configuration. No rule writing. The system figures out what you need.

Threat-Response Blocker · Mitigator · Throttler · Rejector · ...
Traffic-Steering Balancer · Router · Distributor · Forwarder · ...
Data-Collection Filter · Sampler · Collector · Logger · ...
Traffic-Marking Tagger · Marker · Labeler · ...
Passthrough Handler · Allower · Passer · ...
More... New roles emerge from your infrastructure's behavior

Auto-detected from your traffic patterns. No configuration required.

AT INSTALL OVER TIME MODEL fixed size port timing proto freq len time MODEL expanding known signals discovered patterns synthesized

Patent-Pending Technology

U.S. Provisional Patent Application filed March 2026 covering the core innovations that make this system possible.

1

Kernel-Space Ternary Neural Networks

First neural network inference in eBPF/kernel space with ternary weight optimization

2

Adaptive Learning System

Continuous model improvement from observed traffic patterns

3

Automatic Feature Discovery

Self-expanding signal detection with BPF code generation

4

Shadow Validation

Safe deployment with side-by-side accuracy comparison

5

Hot-Swap Model Deployment

Atomic model updates without system restart or downtime — validated with 20 production deployments, zero memory leaks

Patent-pending technology. The innovations are protected by pending claims.

Built for environments where failure is not an option

If your infrastructure handles sensitive data, operates air-gapped, or runs under compliance requirements — TernaryPhysics was designed for you.

Financial Services

Sub-millisecond routing decisions for trading infrastructure. Every action immutably logged for regulatory audit. No market data leaves your network.

Defense & Government

Full air-gap operation. No cloud dependency, no phone-home, no external calls. Classified environments supported.

High-Frequency Infrastructure

API gateways, payment processors, real-time systems. Microsecond decisions that keep SLOs intact under load spikes.

On-Premise & Edge

Runs on any Linux host. No cloud account, no GPU. Bare metal or VM — one command and it's running.

Kubernetes

Deploys as a DaemonSet — one per node, below the pod layer. Sees all pod-to-pod traffic, ingress, and service mesh without sidecars or mesh changes. EKS and GKE Standard supported.

Ready for infrastructure
that thinks?

Join the private beta. Limited spots available.

Bare metal / VM curl -sSL install.ternaryphysics.com | sh
Kubernetes kubectl apply -f install.ternaryphysics.com/k8s.yaml
Get Early Access