Gain the spectrum advantage. Keep it.

Cognitive EW software that understands and answers unfamiliar threats.

The problem

The threat won’t wait for your next update.

Adversaries can change their signals in software. Your response can still depend on off-platform analysis and countermeasure development.

Adversary signalTime

Your response

Countermeasure in development

Update ready

Conceptual illustration

Lumen · In testing

A new signal doesn’t have to stay unknown.

Lumen learns unfamiliar signal patterns so your system can recognize them when they return.

Starting with automatic modulation classification, we’re building toward broader understanding of the RF scene.

Recorded bench RF · Slowed playback

As few as5 bursts: Learn an unfamiliar signal pattern.
0operator actions: Learn and recognize it automatically.
On-device: Detection, classification, and learning without the cloud.

Five-burst learning demonstrated on recorded RF. Zero operator actions before first correct recognition across 15 synthetic benchmark runs. Results depend on signal conditions.

Discuss the benchmarks

Applications

Where Lumen fits.

EW payload builders.Add signal classification and learning to your payload’s existing radios.
Counter-UAS vendors.Learn unfamiliar RF patterns on site, without waiting for the next signal-library release.
Units and program offices.Recognize new signal patterns during the mission, without cloud inference or reach-back.
Airports, ports and critical infrastructure.Build local awareness of unfamiliar RF activity and recognize it when it returns.

The team

Who you’ll work with

CEO

Anirudh Patel

Anirudh holds an MS and BS in electrical engineering from Stanford. At Sandia National Laboratories, he led two R&D projects in multi-agent reinforcement learning, shipped low-power AI for earthquake detection on edge hardware, and published on sensor scheduling for intelligence, surveillance and reconnaissance and on coordinating teams of autonomous agents. At Semiotic AI, he led a team of 10 turning AI research into products and managed a $60 million development contract.

CTO

Severiano Sisneros

Before Drixti, Severiano was systems lead for advanced electronic warfare techniques at Northrop Grumman. Before that, he led a team at Sandia National Laboratories assessing cryptographic hardware and built signal-processing and machine learning tools. He holds an MS in electrical engineering from the University of Illinois.

Contact

Tell us about your platform.

Let’s find out where Lumen fits.

contact@drixti.com

Drixti LLC
Oakland, CA