Neural Vision Engineered for Autonomous Robotics and 120 FPS Spatial Telemetry.
VTU AI turns multi-camera 4K visual feeds into microsecond spatial understanding, 5-micron manufacturing defect detection, and deterministic autonomous trajectory vectors.
Interactive 120 FPS Vision Tensor Stream
Experience real-time bounding box grounding, defect classification, and spatial depth vectors.
Production APIs. Native SDKs.
Drop VTU AI into your enterprise stack in minutes with complete client library support.
curl -X POST "https://api.vtu.si/v1/spatial/infer" \
-H "Authorization: Bearer vtu_live_tensor78..." \
-H "Content-Type: application/json" \
-d '{
"stream_uri": "rtsp://edge-cam-04.factory.internal/stream1",
"model": "vtu-spatial-defect-v4",
"precision": "fp8",
"bounding_box_threshold": 0.95
}'Engineered for Sovereign Zero-Trust Scale
Every module built with mathematical precision, audited compliance, and microsecond performance.
FP8 & INT4 Quantized Tensor Kernels
Natively compiled for NVIDIA Jetson Orin, Apple Neural Engine, and custom FPGA ASIC accelerators with zero precision loss.
Zero-Shot Open-Vocabulary Grounding
Identify novel objects, anomalous thermal distributions, and unexpected foreign debris without retraining custom classifiers.
Real-Time 3D Spatial NeRF Occupancy
Construct real-time 3D voxel grids from multi-camera arrays to empower autonomous forklifts and collaborative robot arms.
Sub-Millimeter Industrial Defect Recall
Trained on millions of aerospace, semiconductor, and medical device manufacturing passes to isolate 5-micron surface anomalies.
256 Concurrent 4K Video Feeds per Rack
Scale from a single edge gateway to facility-wide surveillance and robotics fleets with zero dropped frames or buffer bloating.
Autonomous Synthetic Active Learning
Anomalous visual frames automatically trigger edge synthetic variations to harden models without requiring manual annotation.
Transparent Enterprise Licensing
Flexible deployment tiers for fast-moving startups to sovereign government networks.
Edge Developer
For robotics labs and prototype vision inspection benches.
- ✓ Up to 4 Concurrent 4K Streams
- ✓ Pre-trained Object & Defect Models
- ✓ Linux & Jetson Native SDK
- ✓ REST & WebSocket Feeds
- ✓ Community Portal
Industrial Core
For manufacturing plants and smart facility deployments.
- ✓ Up to 32 Concurrent 4K Streams
- ✓ Custom Defect Classifier Training
- ✓ 0.38ms Ultra-Low Latency Kernel
- ✓ PLC & SCADA Hardware Connectors
- ✓ Priority Engineering SLA
- ✓ SOC-2 Certified
Autonomous Fleet
For autonomous vehicle fleets and multinational aerospace factories.
- ✓ Unlimited 4K Video Streams
- ✓ Custom Tensor ASIC Compilation
- ✓ On-Device Zero-Shot Grounding
- ✓ 99.999% Mission-Critical SLA
- ✓ Dedicated Computer Vision Scientist
- ✓ Air-Gapped Deployment
Questions & Answers
Technical details regarding sovereign deployment, security, and integration.
VTU compiles natively to NVIDIA TensorRT (Jetson Orin to H100), Apple Silicon Neural Engine (M1-M4), Qualcomm Hexagon, and Intel AVX-512 servers.
Yes. VTU uses spatial geometry reconstruction and learned tolerance baselines to detect anomalous geometric or spectral variances in zero-shot mode.
VTU integrates out-of-the-box with Siemens S7, Rockwell, Beckhoff, Modbus, and OPC-UA industrial protocols with sub-millisecond deterministic trigger latencies.