INVERSOLABS
INVERSO LABS / EXPERIMENTAL AUDIO / IN DEVELOPMENT.

Designed.
Not cloned.

Meet NHI137. An original DSP amplifier with
neural-controlled distortion and stereo harmonic texture.
Our first working step toward Perfect Distortion.

Meet the project ↗
IDEAS IN MOTION. NOTHING SET IN STONE.SCROLL TO DISCOVER ↓
PERFECT DISTORTION / AMP LAB

What should
distortion do?

Four original amplifier voices, with a neural-controlled layer that generates new harmonic content across three frequency bands. DSP builds the sound. The network shapes its contribution.

Explore NHI137 ↗
NHI137 Neural Harmonic Instrument interface

A lab for the
not-yet-obvious.

We’re exploring the space between what technology can do and what it could make possible. Our direction evolves through building, testing, and following the questions worth asking.

01INTELLIGENCE

More capable.
More personal.

Exploring AI that works alongside people: local models, useful agents, and tools that put more control in your hands.

HUMAN + MACHINE
02SYSTEMS

Small parts.
New possibilities.

Connecting models, software, and ideas. Finding out what becomes possible when the pieces work together.

TOOLS + CONNECTIONS
03EXPERIENCES

Less friction.
More imagination.

Prototyping new ways to create and interact. Making complicated capabilities feel approachable and useful.

DESIGN + DISCOVERY

Ideas, now
out in the world.

Alongside our audio research: tools for orchestrating AI workflows and a newsroom that puts them to work.

01 / NOVA CONDUCTOR · WINDOWS PREVIEW
PLAN→BUILD→REVIEW

Your agents.
Your way of working.

Build visual workflows, give agents focused roles, and connect them to script robots. Watch the office work alongside native Codex sessions.

Meet Conductor ↗
02 / IN / SIGNAL · LIVE NEWSROOM

A newsroom.
An experiment in motion.

Source-linked AI technology briefings, brought together by a Conductor workflow of writers, reviewers, and publishing robots. Read the reporting, sources, and corrections.

Read the newsroom ↗

Curiosity is
the starting point.
Making is
how we learn.

We’re early. Deliberately open to what comes next. Some experiments will become products. Others will teach us where to look next.

  1. 01

    Question the familiar.

    Start with a possibility, not a predetermined answer.

    ↗
  2. 02

    Make something real.

    Get an idea out of our heads and into a working prototype.

    ↗
  3. 03

    Follow the evidence.

    Keep what works. Rethink what doesn’t. Repeat.

    ↗
STILL EXPLORING. ALWAYS BUILDING.

The future isn’t finished.
Neither are we.

Follow the experiments.
See what takes shape.

Explore our GitHub ↗