Debuting at Hannover Messe 2026, the edge-to-insight platform turns every production cycle into structured, actionable intelligence—no cloud required.
The factory floor is the last major enterprise process that hasn’t been digitized. ERPs track orders. MES systems schedule jobs. But the physical work itself—how operators move, how materials flow, how machines behave cycle after cycle—remains largely invisible to the systems that run modern manufacturing.
Invisible AI is changing that. At Hannover Messe 2026 (April 20–24, Hannover, Germany), the San Francisco-based industrial AI company is unveiling its Vision Execution System (VES)—a full-stack platform that uses the NVIDIA Jetson edge platform and NVIDIA AI to capture, structure, and analyze every production cycle on the factory floor in real time. Frontline team members get real-time insights, improving operational outcomes from the ground up.
The result: a new class of production intelligence already driving measurable gains at some of the world’s largest automotive OEM factories.
From Blind Spot to Ground Truth
Most manufacturers today rely on manual periodic time studies, spot checks, and downstream quality gates to understand what’s happening on the line. By the time a problem surfaces, weeks of waste have already accumulated.
VES eliminates that lag entirely. NVIDIA-powered edge devices equipped with 3D depth cameras mount directly to existing factory infrastructure—installed between shifts, often by the production team members themselves, with zero production disruption. Within hours, the system is live, encoding and segmenting the factory floor in real time using on-device AI inference.
The platform produces two industry-first outputs:
- A Video Digital Twin — a continuous, searchable visual record of every moment on the production floor. Not a CAD model. A living, searchable visual memory of actual production.
- A unified Cycles Database — a structured database capturing every production cycle’s “Man, Material, Machine, and Method” data. The industry’s first unified 4M cycles database, indexed, retrievable, and ready for agentic workflows to consume.
Every cycle. Every station. Every shift. Structured and searchable with zero cloud dependency, zero bandwidth requirements, and full air-gap compliance for the strictest OT security environments.
NVIDIA AI Turns Data Into Decisions
Raw data alone doesn’t transform operations. That’s where NVIDIA’s AI stack comes in.
VES feeds its edge data directly into the NVIDIA Metropolis blueprint for video search and summarization (VSS), creating a seamless pipeline from camera to insight. The platform leverages NVIDIA NIM microservices—including NVIDIA Cosmos Reason for visual reasoning, NVIDIA Nemotron for language understanding, and Invisible AI’s custom vision transforms with embeddings and re-ranking models—to automatically surface what matters.
Vision language models watch and analyze video of flagged production cycles. Large language models query the Cycles Database for patterns. Graph-RAG builds a production knowledge graph that connects anomalies to root causes across shifts, stations, and operators.
The system then delivers its findings through four autonomous AI Agents—each modeled on a role that manufacturers struggle to staff and scale:
- An Industrial Engineer agent that conducts continuous time-motion studies and identifies Kaizen opportunities ranked by impact.
- A Quality Engineer agent that detects process deviations in real time with video evidence, before defects escape downstream.
- A Production Planner agent that tracks true throughput and capacity, issuing early warnings on developing bottlenecks.
- An NPI Engineer agent that compares baseline and new processes during launches, flagging training gaps and ramp-up risks.
These aren’t dashboards. They’re autonomous specialists that watch every cycle, analyze every anomaly, and deliver the insights a manufacturer’s best engineers would find—24/7, across every line.
Proven at Automotive Scale
VES isn’t a pilot. It’s in production at Fortune 500 scale.
A leading global automotive OEM selected Invisible AI as its computer vision platform, initially deploying more than 1,500 NVIDIA-powered edge devices at a single manufacturing facility—making it, perhaps, one of the largest industrial edge AI deployments in the world. Invisible AI’s deployments have since expanded across 14 different North American auto plants.
The results speak in the language manufacturers care about most:
Measured Impact at Scale
$914K
in annual quality savings — 58% reduction in trim repairs
$1.65M
in safety impact — 36% reduction in workplace injuries
$1.33M
in recovered production time — 41% reduction in downtime per shift
3–5x ROI
per device — every minute of prevented downtime saves $1,000; every optimized workstation saves $200,000/year
New lines go live in under a day. No IT project. No ML team. No integration engineering. Just cameras on the line and intelligence on day one.
The Full NVIDIA Stack, Edge to Insight
VES represents a complete implementation of the NVIDIA industrial AI stack—from silicon to software to generative AI:
| Layer | NVIDIA Technology | What It Does |
|---|---|---|
| Edge Hardware | NVIDIA Jetson / AI Chipset | Real-time inference at the edge — encoding, segmentation, and cycle understanding in milliseconds |
| AI Inference | NVIDIA CUDA, TensorRT | Pose estimation, object detection, and cycle segmentation on every frame |
| VSS Blueprint | Cosmos-Reason VLMs, Nemotron LLMs, NIM Microservices | Visual reasoning over abnormal cycles, natural-language summarization, and root-cause analysis |
| Knowledge Layer | Graph-RAG, CA-RAG | Production knowledge graph connecting cycles, anomalies, and root causes across the operation |
| AI Agents | NIM-powered autonomous agents | Four specialized agents delivering continuous industrial engineering, quality, planning, and NPI insights |
The entire system runs 100% on-premise, air-gappable, zero-bandwidth, and compliant with the strictest OT/CISO security requirements in automotive manufacturing.
See VES Live at Hannover Messe
Invisible AI is demonstrating VES live in the Solutions Lab at Hannover Messe 2026, April 20–24 in Hannover, Germany. Attendees can see the full edge-to-insight pipeline in action—from NVIDIA-powered camera capture to autonomous AI Agent insights—and learn how leading manufacturers are using VES to transform factory operations.
To schedule a meeting or live demo, contact the Invisible AI team or visit us at the show.
Invisible AI, founded in 2018 by veterans of the autonomous vehicle industry, builds the world’s leading edge vision AI platform for manufacturing. Its Vision Execution System (VES) is deployed at scale with global automotive and industrial manufacturers, processing millions of production cycles daily. The company is headquartered in San Francisco and backed by Series A funding. Learn more at invisible.ai.