Operator-in-the-loop hazard intelligence

Detect. Verify.
Decide. Orchestrate.

HazNetix turns fragmented hazard signals into clear, auditable response decisions. One operating layer for sensors, AI, drones, and the humans who act on them.

See How It Works Talk to the Team
Detect Verify Decide Orchestrate Audit
Active Demo HIL by Design
Signal confidence Cross-source scoring before escalation reaches an operator
Operator gate Human approval required before any response action moves forward
Audit trail Every system and operator action written to a durable timeline
Progressive autonomy HIL is the starting model — automation gates open as validation grows

The response gap

Hazards move faster than fragmented systems.

Most systems can alert. Very few can verify what is happening, recommend the right path, match the right asset, and preserve a full audit trail — all fast enough to matter.

$400B+ Estimated annual U.S. wildfire losses and damages — a figure that climbs further once flood, storm, and industrial incidents are counted.
Minutes The difference between a contained event and a cascading incident. The gap between detection and coordinated response is where loss happens.
8.9M acres Burned in the United States in 2024, increasing pressure on detection and response workflows.
The Problem
The HazNetix Approach
Disconnected signals across sensors, cameras, reports, and field observations
Ingest and normalize signals into one unified event model
Too many weak alerts creating noise and operator fatigue
Fuse signals and apply confidence scoring before any escalation
Slow field verification with no clear asset routing
Route verification missions to drones or field assets automatically
Unsafe automation risk in high-stakes environments
Operator approval required for launch, dispatch, and payload actions
No record of who decided what and when
Durable timeline of every system and operator action
One-size-fits-all response regardless of asset or mission type
Match event type to the right mission, asset, and payload profile

The platform

One operating layer for hazard intelligence and response.

Not a camera feed. Not an alert dashboard. Not a manual dispatch tool. HazNetix is sensing, AI, operators, and response assets working as one coordinated system.

01

Operator-first by design

The goal is not blind automation. It is faster verification, better situational awareness, safer response routing, and a complete record of every decision.

02

Signal clarity before escalation

The system handles ingestion, fusion, scoring, and recommendation so operators can act on clarity instead of noise. Fewer false alarms. Better signal.

03

Earned autonomy over time

HazNetix is designed to earn expanded autonomy — starting operator-in-the-loop and opening automation gates as validation and confidence grow.

Multi-Sensor Ingestion

Thermal, visual, chemical, environmental, and drone telemetry ingested and normalized into a unified event schema. Coverage holds at night, in smoke, and in remote terrain.

Confidence Scoring & Fusion

Related detections from multiple sensors are fused into a single event. AI scores confidence before any escalation reaches an operator.

Operator Mission Console

A single operating view for event review, recommendation routing, acknowledgment, downgrade, and dispatch approval. The human stays in the loop before any response action moves forward.

Payload-Aware Drone Dispatch

Missions matched to the right asset and payload profile based on event type, severity, and availability. Verification, observation, mitigation — routed correctly.

Durable Audit Trail

Every system action and operator decision written to an immutable timeline. Full traceability for review, accountability, and continuous learning.

Planned — Future Phase

Digital Twin Training

Digital twin environments will support simulation-based training, model improvement, scenario replay, and mission planning without requiring live field conditions.

The operating matrix

Not just "what happened?" — but what to do next.

HazNetix evaluates hazard type, sensor confidence, severity, location, asset availability, payload compatibility, safety rules, and operator approval status before recommending any action.

Detection Layer

HazNetix ingests hazard signals from multiple source types. Each signal is tagged with sensor ID, location, timestamp, and initial type classification.

Hazard types
Wildfire, smoke, chemical leak, gas, infrastructure anomaly, environmental risk
Source types
Thermal sensor, visual camera, chemical sensor, drone telemetry, field report
Coverage
24/7 — night, smoke, remote terrain, and high-load conditions
Monitor Only Request Verification Recommend Operator Review Approve Simulated Dispatch Route Payload Profile Notify Internal Team Stand Down / Resolve

Where we are now

Active demo. Milestone 1 in build.

HazNetix has a working demo foundation. The current focus is turning that demo into a closed-loop platform foundation.

Built & Active

  • Scenario selection
  • Fused event views
  • Operator acknowledgment flow
  • Recommendation routing
  • Response state changes
  • Timeline updates
  • Durable case state
  • Mission state tracking
  • Audit-ready state tracking

In Progress

  • Operator console wiring

Next Major Steps

  • Real sensor ingestion
  • Drone simulation dispatch
  • Payload profile logic
  • Normalized event schema
  • Internal notification path

Roadmap

A staged path from demo to validated response orchestration.

Grants-first. Pilots-first. The right sequence for a system with hardware, autonomy, and public-safety implications.

Now Demo Foundation

Operator console and event views

Scenario selection, fused event views, operator acknowledgment, recommendation routing, response-state tracking, and timeline updates. Active working demo.

Milestone 1

Closed-loop platform foundation

Realistic sensor intake, normalized event schema, signal fusion, operator approval flow, simulated dispatch, payload-aware routing, internal notifications, and durable audit trail.

Milestone 2

Deeper platform capabilities

Expanded sensor modalities, role-based controls, asset registry, scenario replay, stronger operator tooling, and design-partner pilot preparation.

Milestone 3

Controlled pilot readiness

Field hardware validation, deeper drone integration, private-land partner testing, and digital twin simulation for training and replay.

Long Term

Progressive response orchestration

Multi-hazard orchestration across sensors, drones, operators, and response partners. Configurable automation gates that expand as validation grows. HIL remains available at any point.

Team

Building from operational reality.

Onesimo Padilla

Co-Founder

Onesimo Padilla brings 25+ years across enterprise infrastructure, AI operations, and mission-critical technology to HazNetix, guiding NVIDIA Inception-accepted work in faster hazard detection, coordinated response, and resilient high-risk field operations.

Dan Deppert

Co-Founder

Dan Deppert helps lead HazNetix’s operational and commercial foundation, driving partner strategy, pilot development, grant readiness, and market-facing execution with a background in enterprise technology, customer outcomes, and go-to-market leadership.

Recent updates

Company momentum.

HazNetix™ established

DBA registered. Trademark secured. NVIDIA Inception program accepted. SCORE-validated business plan and pitch deck completed.

Co-Founder onboarded

Dan Deppert joined as COO and Co-Founder to lead operations, pilot strategy, and partner development.

Demo foundation active

Operator console demo active with multi-hazard event views, acknowledgment flows, recommendation routing, and timeline updates. Milestone 1 platform build underway.

Contact

For investor, pilot, and partnership conversations.

HazNetix is pursuing design partners, grant opportunities, and aligned early-stage investors. Reach out directly.

Onesimo Padilla

CEO & Co-Founder

onesimo@haznetix.ai → Dan Deppert

COO & Co-Founder

dandeppert@haznetix.ai →