Where We’re Going Next
Our product pages show what Ceradon delivers today. This page shows where we’re investing — the research threads, capability expansions, and partnerships shaping our next generation of tools.
Roadmap
Collaborative Autonomy
Software-defined orchestration for decentralized drone behaviors and wolfpack-style missions.
Localized Production Logic
Orchestration for field-based assembly, repair, and sustainment of robotic assets.
Passive Detection Expansion
Wi-Fi CSI anomaly detection for zero-emission awareness of Group 1–3 threats.
Operator-Directed Edge Retraining
On-device model adaptation in minutes — no reach-back to CONUS, no contractor, no weeks-long retraining pipeline.
Edge AI Retraining — Closing the Last Mile
Every defense AI program hits the same wall: models trained in controlled environments degrade in the field. Different terrain, lighting, concealment methods, and threat profiles mean laboratory accuracy rarely survives first contact with reality.
The current DoD solution — ship data back to CONUS, retrain in a SCIF, push updates weeks later — doesn’t work for small teams operating in denied or disconnected environments. We’re building systems that retrain on-device, in minutes, directed by the operator who knows the environment best.
Why This Matters
- ▹ SOF teams need systems that adapt to the environment they’re in right now — no reach-back to data centers.
- ▹ Border and perimeter security faces constantly changing threat profiles that demand rapid model updates.
- ▹ Partner forces can train on their environment with their data — no classified training sets required. A significant FMS enabler.
- ▹ Persistent surveillance at FOBs and COPs where the threat signature changes weekly.
Our Approach
- ▹ Operator-in-the-loop: Human oversight is the safety mechanism — operators validate retraining results before deployment.
- ▹ Incremental learning: Adapt models with small, field-collected datasets without catastrophic forgetting of base capabilities.
- ▹ Edge-native compute: Full retraining pipeline runs on embedded hardware — no cloud dependency, no exfiltration risk.
- ▹ Closed-loop integration: Retrained models feed directly into autonomous response and C2 systems.
Research Partnerships
We collaborate with academic labs and government research programs to advance passive RF sensing, autonomous systems integration, and field-deployable manufacturing.
- ▹ SBIR/STTR-eligible across multiple DoD topics.
- ▹ Open to joint research with universities and FFRDCs.
- ▹ Active engagement with SOF innovation channels.
Future Capability Areas
Beyond our current product lines, we’re exploring capabilities at the intersection of passive sensing and autonomous logistics.
- ▹ Multi-sensor fusion with CSI + acoustic + inertial data.
- ▹ Edge-native ML for disconnected, contested environments.
- ▹ Supply chain awareness tooling for expeditionary logistics.
Interested in Collaborating?
Whether you’re a research lab, a defense prime, or a program office exploring new sensing modalities — we’d like to hear from you.
Get in Touch