AI That Deploys to the Real World

AI That Deploys to Real Systems

We integrate AI/ML into existing platforms - drones, radar, robotics, edge devices - so you field new capability without replacing proven hardware.

Deploy new intelligence without replacing proven hardware.

Selected Collaborations

U.S. Army U.S. Air Force U.S. Navy U.S. Space Force DARPA Oak Ridge National Laboratory

AI Built for the Physical World

Most AI stays in the cloud. Ours runs on edge hardware, in contested or offline environments, where physics matters and failure is not an option.

Edge-Native AI/ML

Models optimized for constrained compute, sparse data, and mission-critical explainability. Built to run where cloud can't reach.

Robotics Integration

AI that integrates with existing platforms—drones, ground vehicles, sensors—adding autonomy and intelligence without replacing proven hardware.

Physics-Informed AI

ML models that encode physical laws—for radar, sensing, and simulation problems where pure data-driven approaches fail.

Where They Intersect

Venn diagram showing the intersection of AI/ML, Robotics, and Physics capabilities AI / ML Robotics Physics

The hardest problems live at the intersections. Hover over the diagram to see the kinds of challenges we solve that single-discipline teams can't.

Deploy AI on What You Already Operate

Our AI integrates with existing platforms. No hardware replacement, no fleet retraining - just new intelligence on proven systems.

3-8x

Faster to Field

Avoid the hardware replacement cycle. We deliver new capabilities on existing platforms in months.

~10x

Lower Risk

Proven hardware plus validated AI. Reduce platform risk and avoid stranded investments when requirements shift.

Battle-Tested Twice

Defense deployments harden systems under operational stress. Commercial deployments force scale. You get both.

How We Engage

A focused, three-phase process from assessment to fielding.

PHASE 01

Platform and Mission Assessment

Evaluate sensors, compute, data, and constraints. We align success criteria and map the integration plan.

PHASE 02

Prototype and Integration

Build the initial model and integration layer, then validate performance on representative data and hardware.

PHASE 03

Field Validation and Handoff

Test in operational conditions, harden for deployment, and hand off with documentation and support.

Flagship Solution

FORGE Post-Training Services

Mission-ready AI customization for defense and enterprise. We fine-tune, align, distill, and deploy open-source LLMs where others cannot.

Sparse Data
10x less

training data

Secure
IL5/IL6

ready workflows

Speed
3-5x

faster inference

Deployed. Measured. Proven.

Real systems in real environments with real metrics. Here's what we've delivered.

IRIS AI interface overlay on a low-light tactical view
Defense AI

IRIS: Intelligent Recognition System

AI system achieving 55% improved detection in low-light/sparse-data environments with 10x less training data required.

View Case Study
577i Predictive maintenance AI interface overlay on factory machinery
Manufacturing AI

Predictive Maintenance Platform

Reduced unscheduled downtime by 30% for a major manufacturer, saving over $10 million annually.

View Case Study
577i SATWATCH interface showing satellite data above Mars
Space Technology

SATWATCH: Space Surveillance

AI platform achieving 95% accuracy in satellite maneuver detection for enhanced space situational awareness.

View Case Study
AI enhancing noisy radar signals to reveal targets
Defense / Physics

AI-Enhanced Radar Detection

Increased target detection probability by 20-40% on existing radar hardware using advanced AI signal processing.

View Case Study

Ready to deploy AI on real systems?

Tell us about your mission. We'll build the system that ships.