Swarmbotics AI
Overview
Swarmbotics AI builds FireAnt, a hardware and software capability for Force Protection (Defense) missions.
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
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.