Humanitarian mine action, explosive ordnance disposal robotics, remote excavation, and reconstruction safety tooling.
PAZUZU AIRVAC-AI
Intelligent Pneumatic Micro-Excavation · AI-Guided Safety Control · Autonomous Mine Detection
A fast, field-oriented autonomous micro-excavation concept for humanitarian demining. PAZUZU fuses proprietary high-pressure pneumatic excavation with real-time AI vision — targeting a reduction in landmine exposure time from hours to under 3 minutes in controlled validation while keeping operators at a safe standoff distance.
110 Million Landmines. 60 Countries. One Focus.
Manual demining is lethal, slow, and unscalable. At current rates it would take 1,100 years to clear existing minefields. PAZUZU targets better economics: a single remote toolhead can reduce manual exposure in hazardous positions while aiming to lower cost-per-mine from $300–1,000 to under $60.
Four Subsystems. One Decisive Advantage.
Proprietary engineering at every layer — purpose-built for demining environments where failure is not an option.
Pneumatic Excavation System
High-Pressure Air Array · Cyclone VacuumA proprietary multi-nozzle radial air array delivers precision directional bursts at high pressure. A parallel industrial-grade cyclone vacuum captures soil in real time. Zone-controlled solenoids allow the AI to transition seamlessly between macro excavation and delicate micro-exposure phases — without halting the cycle.
Pressure Modes
Vacuum Rating
Pressure Control
AI Vision Engine
Edge NPU · Real-Time Detection · Self-Cleaning OpticsA compact edge AI model runs natively on dedicated NPU hardware at real-time frame rates with zero CPU overhead. A global-shutter primary camera eliminates motion blur during vibration. Automatic lens self-cleaning maintains continuous visibility in field dust, mud, and extreme weather conditions.
NPU Inference
No Cloud Required
Detection Latency
Rust Safety Controller
High-Frequency Watchdog · Multi-Layer FailsafeA memory-safe Rust real-time control loop with deterministic latency runs independent safety checks at high frequency: proximity floor detection, AI inference timeout monitoring, and hardware watchdog heartbeat. Any violation triggers a hardware relay that physically cuts power — no software override possible.
Safety Loop
E-Stop Relay
Zero Undefined Behavior
Precision Positioning
3-Axis Control · Extended Stroke · GPS MappingFull 3-axis toolhead control with extended vertical stroke, 360° pan, and tilt servos. Multi-zone ToF depth sensor provides real-time subsurface profiling. GPS logging builds an MGRS-compatible minefield clearance map as the robot operates — enabling tamper-proof UN certification evidence chains.
Full Toolhead Control
ToF Depth Map
Position Accuracy
Excavation State Machine
Six deterministic states. Every transition verified by hardware before it executes.
EmergencyStop can be triggered from any state — by proximity violation, AI inference timeout, watchdog failure, or operator E-stop. Hardware GPIO relay cuts all pneumatic and actuator power within 15 ms. Only manual operator confirmation re-arms the system.
Five-Layer Intelligence Stack
From raw sensor data to operator command — every layer hardened for field environments.
Smart Toolhead Performance Profile
Every subsystem rated for field deployment — from Arctic winters to desert dust storms.
| Subsystem | Classification | Key Performance |
|---|---|---|
| AI Compute | Dedicated Edge NPU (████████ Classified) · High-Bandwidth Memory | Real-Time Inference |
| Safety MCU | Hardened Real-Time Controller (████████ Classified) · Redundant I/O | <15 ms Valve Response |
| Pneumatic Source | Industrial Oil-Free Compressor (████████ Classified) · Low-Noise | High-Pressure Sustained Output |
| Vacuum System | Industrial High-CFM Cyclone Motor (████████ Classified) · Multi-Stage | Industrial Suction Rating |
| Vision System | Global-Shutter Camera (████████ Classified) · Pan-Tilt Mount · Self-Cleaning | Vibration-Immune Imaging |
| Depth Sensing | Multi-Zone ToF Array (████████ Classified) · High-Resolution Depth Map | ±5 mm Precision |
| Linear Actuator | Industrial-Grade Vertical Drive (████████ Classified) · High-Force | Extended Stroke · 1000 N |
| Power Architecture | High-Density LiFePO4 Module (████████ Classified) · Multi-Rail DC Distribution | 1.8 kW Peak · 8h Runtime |
| Navigation | Multi-Constellation GNSS Receiver (████████ Classified) · High-Update Rate | Sub-3m CEP Accuracy |
| Enclosure | IP65 Shielded Enclosure (████████ Classified) · Shock-Isolated · Active Cooling | Compact Form Factor · 45 kg |
Paranoid By Design
Seven independent safety layers. Any single failure triggers immediate hardware E-stop — no software in the critical path.
ToF Proximity Floor
Hardware Sensor · 100 Hz64-zone Time-of-Flight sensor monitors minimum clearance across all excavation zones. Any reading below 50 mm triggers immediate E-stop regardless of operator command.
AI Inference Watchdog
Rust Real-Time · 100 HzIf neural object detection inference latency exceeds 100 ms, the safety controller treats it as a blind system and halts all pneumatic output until AI resumes.
Hardware Heartbeat Relay
Physical GPIO · 500 ms timeoutThe Rust core toggles a GPIO pin every 500 ms. A hardware relay with independent 555-timer watchdog cuts power if the heartbeat is missed — protecting against software lockups and kernel panics.
Thermal Cutoffs
Classified IC · 4 SensorsIndependent temperature sensors on compressor, vacuum motor, compute module, and battery. Warning at 75°C, automatic shutdown at 85°C — hardware enforced, no software bypass.
// Safety Coverage Analysis
We Sell the Brain, Not the Body
Platform-agnostic toolhead: one product, any tracked platform, global institutional deployment.
Smart Toolhead Module
The AI-powered pneumatic toolhead is our proprietary product. It mounts on any ISO 15143-3 compatible commercial tracked platform. Customers provide the mobility base — we provide the intelligence layer.
Institutional Procurement
Designed for institutional buyers: UN demining agencies, qualified EOD and humanitarian operators, national humanitarian demining programs, and NGOs operating in post-conflict zones across 60+ affected countries.
Field Trials: H1 2027
Hardware architecture defined, AI vision stack benchmarked, and Brave1 & MineSight Innovation Challenge semi-finalist recognition secured in 2025. H1 2027 is reserved for controlled field-trial conversations with qualified demining agencies, humanitarian operators, and technical partners.
750+ kg payload capacity · 4–6 hr field runtime. Proven reliability with global service network. Ideal for large-scale UN clearance programs.
Compact form factor · 100 kg payload · 3–4 hr runtime. Electric drive. Field-serviceable with standard parts. Optimized for cost-sensitive deployments.
Compact & ultra-portable · 2–3 hr runtime. Lightweight toolhead variant. Vehicle-deployable. Ideal for rapid assessment missions.
Built on Battle-Tested Proven Technologies
Systems / Firmware
AI / Perception
Operator / Comms
PAZUZU in the Forneus Stack
PAZUZU is Forneus Technologies' humanitarian demining hardware option — bridging AI-driven robotics with the company's existing secure software infrastructure.
Mission logs, GPS minefield maps, and AI inference records are cryptographically sealed in GARM's Neural Vault — ensuring tamper-proof evidence chains for UN clearance certification.
Operator identity verification before system arm. Biometric + device attestation prevents unauthorized activation in forward field conditions. Hardware-bound session tokens.
Real-time telemetry feeds into ELIGOS intelligence pipelines — enabling predictive terrain analysis, minefield density modeling, and automated mission planning for subsequent sorties.
Recognized by Demining Innovation Reviewers
Semi-finalist review provides an external diligence signal, not a certification or production-readiness claim.
Field Thesis
Existing solutions are either purely mechanical (no AI) or research-stage lab models. PAZUZU is positioned around a differentiated field-oriented combination of pneumatic micro-excavation + real-time edge AI + hardware safety architecture in a single autonomous toolhead.
PAZUZU: TAM/SAM/SOM & Roadmap
AI-guided pneumatic micro-excavation platform for humanitarian demining and EOD support. Founded in 2025, currently bootstrapped, operating in a founder-funded, pre-institutional stage. The figures below are target budgets and milestone assumptions for a first priced round, not announced financing.
Ukraine and NATO-aligned humanitarian demining, engineering, EOD, agriculture-recovery, and reconstruction programs.
15-30 systems or toolhead deployments within 36 months after seed at $250K-$400K per system plus support contracts.
Market Logic
UNMAS/Landmine Monitor mine-action context; World Bank Ukraine demining cost estimates; AI risk-mapping research for clearance efficiency. SOM is calculated as reachable revenue/bookings from a narrow initial segment, not as a percentage fantasy of the whole market.
Why PAZUZU can compound into venture-scale value
PAZUZU is not a generic robot. It is a humanitarian mine-action and EOD support option where the value is worker safety, repeatable excavation, and reconstruction velocity.
World Bank, EU, UN, and Ukraine estimated recovery and reconstruction needs at $486B over the next decade as of RDNA3.
Landmines and explosive remnants remain a multi-country humanitarian and reconstruction problem.
SOM assumes limited systems/toolheads plus support contracts, not full demining-market capture.
From Bootstrap to Commercial Evidence
Concept and system design
Pneumatic excavation architecture, sensor/safety envelope, and AI-guided toolhead workflow designed.
Pre-seed target
Bench prototype, pressure-control validation, computer-vision safety loop, and demining partner discovery.
Prototype validation
Remote toolhead test rig, failsafe review, environmental testing, and first NGO/EOD evaluation plan.
Seed target
Field-ready pilot unit, safety certification pathway, and controlled demonstration with demining operators.
Deployment target
15-30 unit order pipeline across Ukraine/EU programs and Series A readiness from field reliability data.
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