Defence & security
HPC-backed backends for autonomous operations, ISR data processing, and secure compute in contested environments.
The problem
Modern defence operations generate enormous volumes of sensor data from many sources — UAVs, ground sensors, satellites, maritime platforms. Processing this data fast enough to inform decisions is the bottleneck. The endpoints are proliferating. The backend infrastructure to command them, ingest their data, and run ML inference at operational tempo has not kept pace.
Counter-UAS, ISR, multi-domain awareness, and autonomous operations all depend on the same thing: a backend that can handle many endpoints, process data in real time, and push actionable intelligence back to operators and systems.
What we bring
- Autonomous endpoint backends — Command, control, and data processing for many diverse endpoints simultaneously. Edge compute on the device, heavy processing on HPC.
- HPC infrastructure — Slurm clusters for batch processing at scale. GPU compute for ML training and inference. Bare-metal provisioning with security hardening.
- ML inference and AI pipelines — Kubeflow for ML pipelines, real-time inference for object detection and classification, RAG systems for document intelligence and decision support.
- Secure infrastructure — CIS-hardened Linux, SCAP-validated builds, air-gapped and on-prem deployment capability. No cloud dependency required.
- Systems engineering — 20+ years building infrastructure from the kernel up. Linux, Kubernetes, networking, and production operations at scale.
Defence applications
- Autonomous endpoint command and control — backend for UAV, UGV, and sensor coordination
- ISR data processing — real-time image, video, and sensor data fusion from many platforms
- Counter-UAS — detection, tracking, and classification backends that integrate with effector systems
- Edge-to-HPC compute — lightweight processing at the edge, heavy compute on secure backend infrastructure
- Decision support — AI-driven analytics, RAG over operational documents, and ML-assisted situational awareness
- Secure HPC — on-prem Slurm clusters with GPU compute for classified or sensitive workloads
Canadian company
Improbability Labs is incorporated in Canada. Our founder has built production HPC infrastructure for Canadian research computing organizations and has deep experience with Slurm, Kubeflow, and GPU systems at scale. We are positioned to work with Canadian defence programs, innovation initiatives, and allied partners.
We are open to partnerships, subcontracting, and direct engagement on RFPs and innovation challenges.