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Sentrix

Agentic police for your AI swarms.

Rogue agents are inevitable. We deploy patrols and investigators so your autonomous AI stays in line — shielding you from data leaks, prompt injection, and backdoors.

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80%
Better Structure Accuracy
30B
Nemotron Parameters
<100ms
Patrol Response Time
THE THREAT

Unrestricted.
Unpredictable.

Recently, Scott Shambaugh became the first victim of AI Agent harassment. Openclaw-like agents deployed online collected his personal information and wrote a degrading public article—all because he denied them a PR.

Rogue behaviour is unavoidable with increased intelligence. Agents lack a grounding moral compass, leading to data leakage, prompt injections, and security violations.

! DATA LEAK DETECTED
Scroll to see the chase
Anomaly detected

One message isn’t like the others.

Rogue behaviour

Patrol locating target.
Scroll to intercept.

Swarm deployed

Patrols closing in.

Threat contained

Sentrix swarm success.

THE ARCHITECTURE

Meet Your New
Police Swarm.

Sentrix is an end-to-end security solution deploying agentic police swarms. Modeled after real police investigation teams, we utilise multiple levels of escalation to ensure the security of autonomous AI systems.

Patrols

Constantly monitors tool calls, checking for leaked API keys or PII data in real time.

Investigators

Powered by fine-tuned models to analyse case data and classify criminal behavior.

Superintendent

Creates comprehensive case reports for human-in-the-loop escalation seamlessly.

GET STARTED

Deploy in minutes.

Get your agent police force up and running around openclaw with just a few commands.

1

Install Sentrix

Or use uv for faster installs: uv pip install openclaw-sentrix

pip install openclaw-sentrix
2

Ensure Docker Desktop is running

Download from docker.com if you haven't installed it yet.

3

Launch Sentrix

Your agent police force is now active. First run will build the sandbox automatically.

sentrix run

Requires Python 3.10+ and Docker Desktop. View full documentation →

THE ENGINE

Powered by Nemotron.

We used the Nvidia Nemotron stack, developing sophisticated synthetic data generation (SDG) pipelines for supervised fine-tuning (SFT) of our Nemotron 3.3 30B investigative agents.

Metrics Improvement

Structure Accuracy+80%
Reasoning Accuracy+5%

Training Performance

Using supervised fine-tuning with LoRA over 3 epochs, training loss plummeted while token-level accuracy skyrocketed.

  • Loss10.93 → 1.59
  • Token Accuracy48.8% → 87.7%
Idea backed by
NVIDIA
Dawn Capital
Entrepreneurs First
Tracer
Odin
Prolific
Crane
Cooley
Encord
N47
Doubleword
UCL
Cambridge
Granola
NVIDIA
Dawn Capital
Entrepreneurs First
Tracer
Odin
Prolific
Crane
Cooley
Encord
N47
Doubleword
UCL
Cambridge
Granola

Ready to secure your swarm?

Join the growing number of organizations trusting Sentrix to keep their AI agents in check. Deploy your police force today.

Get early access updates