Haverth

Distill intelligence into autonomous machines.

LLMs are the most capable reasoning systems ever built.

They can't fly a drone. They can't run on a 2W Jetson. They can't close a guidance loop at 400Hz.

But they can teach.

01

Mirage

A simulation environment for training autonomous systems. Describe a scenario. Mirage builds the world, runs physics, renders what sensors actually see, and trains a deployable policy on it.

01 Describe 02 Simulate 03 Train 04 Distill 05 Deploy

From natural language to deployed guidance policy.

Dev Server

Built for LLMs

Mirage exposes a programmable dev server, like Chrome DevTools Protocol for simulation. An LLM agent can see the environment, control the simulation, design training curricula, and iterate on why a policy fails.

Sensors

Every sensor. Same frame.

RGB, thermal infrared, depth. Rendered from the same viewpoint with physically accurate models. Material emissivity, atmospheric absorption, solar loading. Paired, labeled synthetic data without flight tests.

Training

Cloud GPUs. Your MacBook.

Headless simulation on cloud infrastructure. Thousands of parallel environments. Your team operates from laptops. Training runs scale on remote hardware.

Rust · Custom aerodynamic models · Auditable physics · Any GPU · Single binary
02

Applications

Thermal infrared and RGB sensor data, paired and labeled
Defense

Synthetic Sensor Data

Thermal. RGB. Depth. Paired and labeled.

Physically accurate thermal rendering. Material emissivity, atmospheric absorption, solar loading. Multi-modal training data without six months of range scheduling.

Terminal guidance seeker view with target acquisition

Seeker Training

Teach guidance systems what a target looks like.

Train sensor fusion models on synthetic data. Shape, texture, motion, context. Not just thermal signature.

Embedded avionics hardware connected to simulation

Hardware in the Loop

Test before it flies.

Plug actual guidance hardware into the simulation loop. Find failures at a desk, not in a $200K flight test.

Autonomous systems at the edge of what's possible
Research

Pushing the Envelope

Explore what's possible before it's practical.

Supersonic flight regimes. Autonomous canyon navigation. Swarm coordination. Test at the edge of what's possible. In simulation, not wreckage.

Also

Locus

Ground station automation for satellite constellations.

Autonomous scheduling, pass management, and failure recovery for multi-orbit constellations.

locus.d4mr.com ↗

The infrastructure to go from LLM intelligence to deployed autonomous systems.

We're building it.

GitHub ↗ Contact