Your Operators Are Trained.

Your Systems Are Certified.

Under Stress,The Audio Becomes Interference.

Your Operators Are not Failing. The Input Is. Now There Is A System That Addresses That.

Under stress, standard audio is built for calm. Under stress, it becomes interference.

Longtonics is emotive AI middleware that adapts the audio layer in real time.

Longtonics is emotive AI middleware. It reads operator cognitive state in real time and adapts incoming audio to match what the brain can process under stress.

Integrates via API and SDK into existing headset infrastructure. No hardware replacement. No platform migration. Edge-native processing. Zero cloud dependency.

NVIDIA Inception Program member.

Three calls stacked. A caller who cannot speak clearly.

A decision that needs to happen in seconds.

Think about your team on a hard shift

AND THEN THE AUDIO WORKS AGAINST THEM

Your dispatcher is trained for this. They know the protocol. Under extreme stress, cognitive decoding slows by 400 to 600 milliseconds. Errors spike by more than 58 percent. The operator is not the problem. The input is.

That is not a Training Problem.

It is a Physics Problem Nobody Has Fixed.

Under Time Pressure, Stress and Uncertainty

Audio becomes interference

Actions are incorrect

Procedures Break Down

A missed call in emergency dispatch can carry $ 1 mi -$10 m in liability.

Call centers lose $ 1.6 trillion a year in agent error.

You are responsible for what your operators receive under stress. You should have a system built for that moment.

We built Anthros because we have operated in the environments where this gap costs the most.

We are not here to replace your operators or your systems.

We are here to Fix The Audio Layer Nobody Ever Built For Stress.

Emotive AI Middleware works alongside your operator to:

Adapt the audio to match cognitive state in real time

Keep incoming communication at a level the brain can process

Produce a verifiable session performance record

You Operator Stays In Control.

The Headset Stays The Same.

The audio changes to meet them where they are.

Better performance when pressure peaks.

A record when you need it.

A team that has been where you are.

You Have A Defensible Record

When a dispatch incident leads to a lawsuit, you need a record of what your operator received and when they responded. That record has never existed before. Now it does.

Your Operators Perform At Their Best Under Pressure

Under extreme stress, your operators have always faced the same audio as a calm shift. Longtonics changes that. When stress spikes, the input adapts. The Rescue Effect is not a promise. It is a study result.

You Have a Team That Has Operated in Your Environment

We did not build this from a whiteboard. We built it from inside the environments where this gap costs lives and money. We did not find the problem. The problem built this team.

The Rescue Effect

332.7 percent reduction in response latency
(1,169ms versus 1,734ms baseline)

40 percent reduction in error rate
(0.21 versus 0.35 baseline). Statistical significance p less than 0.01.

N=28. Physiological stress verified.

Source: Vocal-Cognitive Alignment in Tactical Infantry Systems, Longtonics Inc., 2026.

This is not a projected outcome. it is a result from a controlled study with verified physiological conditions.

Anthros is built on NVIDIA compute infrastructure, enabling real-time edge processing for response guidance and response data capture in high-consequence environments.

What happens when Anthros is Running

Detect

Vocal stress markers read in real time

Assess

Cognitive state evaluated against individual baseline

Adapt

Incoming audio adjusts to match current cognitive state

Log

Session performance data is recorded

All processing happens at the edge.

No data leaves your facility. No cloud dependency. The headset stays the same. The audio changes to meet your operator where they are when it matters most.

We are running deployments now. no hardware required.

Here is how to get started.

You show us your current headset and communications setup. We confirm whether integration is a fit and what it looks like in your specific environment.
Before anything changes for your operators, we establish a performance baseline. You see exactly where the gaps are. Nothing is adjusted until you have reviewed the data.
The middleware goes live inside your existing infrastructure. Performance data accumulates from day one. You review the results before any long-term commitment is made.

You need a team that has operated inside the problem you are trying to solve.

Everywhere we looked, we saw the same gap. The people doing the work had the right training. The audio infrastructure around them was certified and functional. But when the calls stacked up and the pressure spiked, nobody had built the input layer for that moment.

Nobody had built the system that met them where they where. We built Longtonics to change that.

We did not find the problem. The problem built this team.

KRIS GOINS

Co-Founder and Chief Executive Officer
Kris spent more than 20 years across the United States Navy and Air Force, six as an FAA-certified air traffic controller and over 16 in Security Forces. He also served as a civilian law enforcement officer. He has operated inside two of the three environments Longtonics is built for. He leads company strategy, institutional development, and go-to-market execution.
MATTHEW LOPEZ

Co-Founder and Chief Technology Officer
Matt architected the Rescue Effect research program and the Emotive AI Middleware platform. His expertise spans AI and machine learning engineering, signal processing, and edge computing. He designed the architecture that makes real-time audio adaptation possible. He leads all technical development.
SUE HSU

Co-Founder and Chief Financial Officer
Sue leads financial and operational strategy, including capital planning and commercial infrastructure. Her background in regulated industry finance positions Longtonics for the institutional and compliance relationships that define adoption in these markets.

MEET THE LONGTONICS TEAM

What is your next step?

For Dispatch, Call Center, and ATC Leaders

Do your operators perform the same at hour six as hour one?
Under a three-call stack the same as a single call?
That gap is measurable and addressable without replacing a single piece of equipment.

Request a Pilot Conversation

Investors and Institutional Partners

Longtonics is raising a seed round and building the institutional measurement standard for human response performance.

We welcome conversations with investors in enterprise AI, human performance technology, and high-consequence operational environments.

Talk To The Founders

Right Now, There Is No Standard For Human Response Performance

Your equipment is certified. Your detection systems are certified. Your suppression layers are certified.

What your operator does when the alert fires has never been measurable. Until now.

Longtonics is establishing the foundation for the Human Response Assurance Standard (HRAS).

HRAS is a framework designed to give you:

Measurement of response performance across environments

A structured basis for comparing response outcomes

The institutional record your insurers and regulators will one day require

You are not waiting for the standard.

You are building the dataset that creates it.

Where we are now

Performance-gated pilot across all three entry market environemts

Structured deployment progression from baseline observation to live audio adaptation

Defined performance thresholds tied to your response outcomes

Every deployment is designed to produce a verifiable record of human response under real operating conditions.