©Flobe Industries
Autonomous perception
for the physical
world.
On-device visual intelligence for critical infrastructure and field operations. No cloud. No dependencies.
Sentinel classifies.
Learns. Remembers.
On first contact.
Live inference output. Every classification committed to on-device memory at T+0. No uplink. No retraining. No operator input.
Conventional computer vision fails the moment connectivity is denied. Sentinel was built for exactly that moment — classifying unknown objects on-device at ultra-low inference latency, adapting autonomously on first contact, with Grad-CAM explainability on every decision. No cloud. No retraining pipeline. No failure point.
Five pillars of on-device intelligence.
One inference engine. Deployed at the edge. Classifies, learns, and permanently retains any new object on first contact — from fixed perimeter cameras to mobile platforms.
Cloud Independence
Full offline capability. Zero cloud dependency. Air-gappable. Operates through connectivity loss, GPS gaps and full offline conditions.
Cameras as Sensors
Integrates with standard camera and GIS systems. Raw video streams converted into real-time object classifications at sub-15ms latency.
Self-Adaptive AI
Upon first contact with an unknown object, Sentinel classifies, commits to permanent on-device memory, and adapts — zero operator input, zero retraining pipeline.
Living 3D Projection
Automated incident logging and Digital Twin overlays — persistent situational awareness across the operational area.
Compliance & Trust
Grad-CAM saliency on every decision. Satisfies EU AI Act Article 13 explainability requirements and GDPR compliance out of the box.
Sentinel.
High-performance visual intelligence platform. Autonomous detection, persistent on-device object learning, and operational transparency — deployed at the edge, independent of cloud infrastructure.
Inside SentinelEdge inference
Full inference on COTS edge hardware. Zero data egress. Operates through complete connectivity loss — from fixed installations to mobile platforms.
Ultra-low inference latency
Frame-to-decision pipeline at sub-15ms. Consistent performance under bandwidth constraints, thermal variation, and harsh environmental conditions.
Explainable by design
Grad-CAM saliency map on every classification. Every decision auditable — satisfying EU AI Act Article 13 requirements and providing full transparency.
Where Sentinel
works.
On-device visual intelligence for critical infrastructure and field operations — where connectivity is unreliable and data stays on-site.
Energy, Ports & Utilities
Perimeter monitoring, asset inspection and change detection across critical sites, all processed on-site with nothing leaving the fence line.
- Perimeter monitoring
- Asset inspection
- Change detection
Monitoring & Situational Awareness
Live, on-device situational awareness for field teams and remote sites where there is no reliable connectivity.
- Remote site awareness
- Hazard detection
- Offline operation
See. Understand. Explain. Alert.
From raw sensor input to operator-ready alert — entirely on-device, in under fifteen milliseconds. No cloud round-trip. No external dependency.
See
Multi-sensor capture — visual, thermal, or SWIR. Hardware-synced shutter, on-device pre-processing.
Understand
Quantized models on edge accelerators classify objects, track changes, and build a live situational picture.
Explain
Every decision comes with a Grad-CAM attention map and an audit trail — transparent, verifiable, GDPR-compliant.
Alert
Operator UI, machine API, or signed audit log. The right signal reaches the right person at the right time.
An energy operator monitors a substation and gets back every change since the last check — on-site, in minutes.
No cloud upload. No third-party processing. Sentinel runs on a compact edge device at the facility, comparing current state against its on-device memory and flagging every difference — a shifted valve, a new obstruction, a thermal anomaly — with a timestamp and visual proof.
Sentinel compared current capture (T+0) against on-device memory (T−30d).
3 changes detected:
1. Valve B-7 shifted 12° clockwise — anomaly
2. New vegetation growth near transformer — flag
3. Thermal signature +2.1°C on bus bar — watch
All processing completed on-device. No data transmitted. Offline, on-device.
Your data stays on your site. Sentinel processes everything locally — no cloud uploads, no external dependencies, no recurring infrastructure costs. It works offline because it was built for the moments when the network doesn't. For regulated industries and critical infrastructure, that means full data sovereignty, GDPR compliance, and zero exposure of sensitive operational data.
Every decision comes with a reason and an audit trail. Sentinel generates Grad-CAM attention maps on every classification — so operators can see exactly what the model saw and why it made its decision. Built for EU AI Act Article 13 compliance from day one. No black boxes.
A digital citadel.
Cloud independence
No vendor lock-in. No upstream dependency. The full inference stack runs independently — on your hardware, in your perimeter, under your control.
Offline-first reliability
Built for degraded and offline connectivity. Operates indefinitely without any uplink — perceiving, deciding, and recording on the device.
Software independence
Signed builds, reproducible deployments, open inspection. Full auditability down to the inference layer — meeting enterprise requirements.
Hardware agnostic
Runs on COTS Micro-SoC and edge chips — NVIDIA Jetson, Hailo-8, Qualcomm platforms. Binary inference engine under 5MB core footprint.
The people behind the signal.
A compact leadership team operating at the intersection of frontier AI, hardened systems engineering, and operational needs.
Fedor Timoshenko
Egor Iachimov
Kristian Georgiev
Start a conversation.
We work with infrastructure operators, enterprises and partners across the public and private sectors.