Swarmbotics AI

Overview

Problem Current robotics program are too expensive, too fragile, and the form factor isn’t conducive to human-machine integration.

Solution Our solution combines an AI software C2 layer with small, attritable UGVs to carry modular payloads in heterogenous swarms.

Field Validation Project Convergence, SOCOM TE, Northern Strike, Thunder Strike, SMEx, Uncrewed Triple Challenge, Army xTechOverwatch, and others

Technology Maturity (TRL) 5-6, self-evaluated at demos in relevant operational conditions

Strategic Advantage Creating immediate and safe human-machine integration to experiment payloads with maneuver units, informing DOTMLPF / TTP formation around robotics. Urgent use cases include C-UAS, EW, ISR, MILDEC, and kinetic terrain shaping.

Go-to-Market Access We have funding through innovation arms and certain program offices, and are also selling to defense primes.

Dual-Use Potential PHYSEC

Team Stephen Houghton, CEO; former COO of Embark Trucks, VP at GM Cruise, VP Amazon Zoox, McKinsey, Harvard, Stanford, USMC Drew Watson, CTO; former product ops Embark, NASA JPL, CIA robotics

Competitive Landscape Most competitors have larger form factors. Other small UGV makers have constrained use cases.

Primary User Maneuver ground units (FORSCOM, SOCOM)

User-Critical Problem Humans are needlessly exposed to danger / risk best assumed by robots; they are mission-constrained with strained sensor-to-shooter loop.