We build fully autonomous drone systems that see, think, and act — entirely on-device. Real-time AI perception and reasoning powered by NVIDIA Jetson. No cloud. No latency. No compromises.
Our drone runs a complete edge-AI stack on NVIDIA Jetson hardware: YOLOv8 object detection compiled to TensorRT FP16 running simultaneously with a vision-language model for scene reasoning — all on-board, in real time. Persistent temporal memory tracks entities across flights. Closed-loop actuation means the drone doesn't just observe — it decides and acts.
The same edge-AI core adapts to radically different missions — from scouting soybean fields in Ohio to providing aerial overwatch for first responders to autonomous property security for everyday people.
Autonomous crop scouting that replaces manual field walks. The Scout drone flies zone-based missions, detects crop diseases across 11 pathology classes in real time, and delivers actionable reports through a farmer-facing dashboard — no agronomist wait times, no cloud uploads of your field data.
Situational awareness when minutes matter. Edge-AI perception gives fire, rescue, and law enforcement real-time aerial intelligence with person detection, thermal-ready architecture, and autonomous scene mapping — without depending on cell towers or cloud infrastructure that fails when you need it most.
The Baldwin security drone runs autonomous patrols with persistent temporal memory — it remembers what it saw last patrol, matches against BOLO lists, and makes real-time threat assessments through edge VLM reasoning. Provisional patent filed with 8 claims covering the temporal reasoning architecture.
Every byte of sensor data is processed, reasoned about, and acted on at the edge. No cloud round-trips. No data exfiltration. No single points of failure. This is the core architecture protected by our provisional patent.
Multi-sensor input — camera, depth, audio, environmental — streamed through ROS 2 nodes at the edge.
YOLOv8 compiled to TensorRT FP16 for real-time object detection at 11-15 FPS on Jetson Orin hardware.
Vision-language model runs locally for scene understanding, threat assessment, or crop diagnosis — zero API calls.
Temporal entity tracking persists across missions. The system builds context over time — cross-patrol memory on-device.
8-state flight commander evaluates perception data against mission parameters and autonomously selects next action.
Closed-loop actuation through PX4. AI perception feeds directly into flight control for autonomous response.
We offer engineering services that leverage our core competencies in AI systems, embedded hardware, and advanced manufacturing.
Additive manufacturing services with professional-grade FDM printing. Rapid prototyping, custom enclosures, drone components, and small-batch production runs. From CAD to physical part — fast turnaround for engineering teams that need to move at hardware speed.
Edge-AI system design, computer vision pipeline development, embedded ML optimization, and autonomous systems architecture. We bring deep experience in Jetson deployment, TensorRT optimization, ROS 2 integration, and knowledge distillation for resource-constrained hardware.
Small team. Deep technical focus. Moving fast from prototype to product.
Electrical engineering (ASU Fulton). Background in cubesat systems, liquid rocket propulsion, and biomedical research. Leads architecture, edge-AI stack development, and company strategy.
Drives hardware integration, ML model training, and Jetson deployment optimization across both agricultural and security product lines.
Leads go-to-market strategy, customer discovery, and business development across agriculture, first responder, and security verticals.
Interested in a pilot program, partnership, R&D engagement, or manufacturing quote? Reach out.
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