Decisions
at the Edge.
Silence on
the Wire.
EdgeOS converts raw sensor streams into mission-grade intelligence onboard — through fusion, semantic abstraction, and disciplined transmission. Built for environments where the cloud is not coming.
Today's architecture assumes connectivity. Tomorrow's battlefield denies it.
A doctrine inherited
from peace.
- Continuous connectivity is presumed
- SATCOM is reliable and persistent
- Cloud processing is always available
- Upstream transmission flows uninterrupted
A reality designed
by adversaries.
- SATCOM is bandwidth-constrained and costly
- RF spectrum is jammed, denied, or compromised
- EMCON discipline mandates radio silence
- Cloud analytics fail in disconnected operations
It is decision-grade abstraction.
The missing layer between sensor and mission system.
HardpointAI sits between sensors and command. It does not replace mission systems, flight software, radar processing chains, or prime-owned IP — it makes them decisive when the link goes dark.
EdgeOS — functional stack.
Four interlocking modules. Each addresses a specific failure mode of cloud-dependent C4ISR architectures.
From signal to substrate.
- Sensor data ingestion across heterogeneous payloads
- Adapter framework for radar, EO/IR, RF, AIS, custom
- Normalization across timing, frame, and coordinate systems
From substrate to track.
- Multi-sensor correlation in real time, onboard
- Track reconciliation and confidence scoring
- Anomaly detection across spatial and behavioral dimensions
From track to meaning.
- Cross-sensor semantic mapping into mission objects
- Mission-level abstraction layer over raw data
- Unified representation for downstream C2 consumption
From meaning to transmission.
- Policy-driven, EMCON-aware transmission control
- Bandwidth prioritization tuned to mission posture
- Burst transmission with deferred bulk transfer
Self-sustaining compute at the forward edge.
A node that brings its own infrastructure.
Ruggedized, self-contained, deployable in under a minute. The HP-FN1 carries the full EdgeOS stack with no dependence on external power, network, or fixed installation.
Standalone
Battery-powered, fully autonomous, air-gap capable. The HP-FN1 operates without any external infrastructure for the full mission window.
Networked
Multi-node MANET mesh distributes inference across forward positions, with resilient routing under jamming and node loss.
Gateway
SATCOM and 5G uplink relay EdgeOS-curated mission objects to C2 — only what matters, only when it matters.
No external power. No fixed infrastructure. No compromise.
Fielded systems that improve with use.
Traditional defense systems are frozen at delivery. Foundry closes the loop: operational data collected at the edge feeds model retraining, and improved models return to every deployed node as cryptographically signed updates — over any available link, or by physical media when there is none.
From theatre to dataset.
- Deployed nodes capture the operational data that matters
- Edge cases, environments, and signatures no lab dataset contains
- Curated onboard — only training-relevant data moves
From dataset to model.
- Field data feeds model retraining and evaluation
- Perception and fusion hardened against real operational conditions
- Every deployment makes the next one sharper
From model to fleet.
- Improved models pushed to every node as signed updates
- Delivered over available links — or by physical media
- Capability ships to the fleet you already own
From sensor outputs to mission objects.
Ontology is not a label. It is a transformation: from a stream of disconnected detections into a coherent picture of what is happening — transmitted as meaning, not bytes.
Raw Sensor Output
Mission Object
Designed for contested environments.
EMCON is not a feature — it is the operating discipline of the platform. Transmission is treated as a precious, observable act, governed by mission policy.
- Full onboard correlation during radio silence
- Event-driven transmission instead of continuous streaming
- Burst-mode uplink for mission-critical objects only
- Deferred bulk transfer when bandwidth permits
- Policy-based prioritization tuned per mission posture
- Cryptographic envelope on every emitted packet
Airborne ISR profile.
- Radar and EO fused onboard in real time
- Raw video stored locally — never transmitted
- Only correlated mission objects sent via SATCOM
- Full sensor archive offloaded post-mission, on-net
Where the layer earns its position.
Airborne ISR Platforms
- Onboard radar + EO correlation in flight
- SATCOM bandwidth load reduced by orders of magnitude
- EMCON-compliant by default
- Event-driven uplink to C2
Maritime Patrol & Naval Platforms
- Radar + AIS + EO fusion for surface picture
- Vessel anomaly detection against route baselines
- Reduced operator overload in long-duration patrols
- Autonomous picture compilation under EMCON
Forward-Deployed Tactical Nodes
- Multi-sensor aggregation at the forward edge
- Local AI inference without reach-back
- Distributed edge autonomy across the mesh
- Tactical network resilience under jamming
EdgeOS adapts to existing architecture — not the other way around.
Where the compute lives.
- HP-FN1 rugged edge appliance
- Embedded module in existing mission rack
- Custom integration with approved compute hardware
How the stack is delivered.
- Containerized deployment
- Modular microservices architecture
- Sensor adapter plugin framework
How it speaks to your stack.
- REST and gRPC endpoints
- JSON-based, schema-versioned exchange
- TAK-compatible event export, STANAG-aligned mapping
- Custom adapters for prime-owned mission systems
Secure-by-design.
§ 10 · CYBERSECURITY POSTURE
We are not building a feature.
We are building the missing
infrastructure layer of the
tactical edge.
Signals worth transmitting.
Palantir Startup Fellowship
completed.
HardpointAI has completed Palantir’s Startup Fellowship — Cohort 002, closing the program at its final demo event in June 2026. The fellowship connected a selected group of defense and critical-infrastructure startups with Palantir’s engineering and deployment ecosystem as we scale EdgeOS toward production.
Rajant partnership:
EdgeOS on Kinetic Mesh.
HardpointAI is an authorized Rajant Kinetic Mesh Partner — reselling and deploying Rajant’s battle-proven BreadCrumb® MANET networking, which EdgeOS nodes operate alongside for self-healing meshes that stay connected through jamming, movement, and node loss.
Deploy semantic intelligence at the edge.
Request a technical workshop or architecture briefing to explore integration, interface mapping, and pilot deployment pathways.
contact@hardpointos.comPalantir Startup Fellowship — Cohort 002 · Rajant Kinetic Mesh Partner