You lead industrial cameras. Upgrade to smart vision today.
MountAIn AI Booster is the software stack that lets camera makers and perception OEMs build AI-native, autonomous cameras — no cloud, no tokens, no new hardware team.
Your lens. Your SOM. Our runtime. Cloud-grade 2D + 3D perception runs on the camera itself, and only structured events leave the device. Sub-100 ms. No PoE trenching. No token bill.
“Manufacturers don’t need more alerts, they need a faster path to action.”
Bring your model. We make it see.
AI Booster turns any trained vision model into a production camera runtime. From your weights to a hardened BSP-native pipeline, then fuse multiple sensor modalities to unlock new industrial use cases — all on the camera itself.
- Bring Your Own Vision pipeline. Import your trained model and the SDK compiles it into a hardened, SOM-native runtime — no stack rewrite.
- Full stack export. One-click compilation and quantization from model weights to camera BSP, preserving accuracy on low-BOM silicon.
- Multimodality fusion. Combine modalities like RGB and Thermal or RGB and Depth to support innovative industrial use cases.
No network dependency. No tokens. No cloud
Unreliable networks shouldn't halt warehouse operations. MountAIn AI Booster runs Edge AI locally, turning every camera into an autonomous decision-making endpoint that streams only byte-sized structured events over Wi-Fi, private 5G or LPWAN.
Edge AI runs locally even when connectivity drops. Decisions are made on-camera; structured events are queued and forwarded when the network returns.
Zero cloud inference fees. Unit economics are decided per camera, not per frame or per API call — deployable across entire industrial estates.
Pixels never leave the device. Only structured metadata — GDPR-aligned by design, robust to network drops, sub-100 ms end-to-end.
On-camera 3D perception and volumetric pallet measurement — precise, automated, real time. No video ever leaves the device.
Engineered to fit the silicon our OEM customers already ship.
MountAIn doesn't sell hardware. We deliver a runtime that camera makers integrate into their own SOMs — sized for the MCUs, MPUs, thermal envelopes and BSPs their industrial cameras already run.
Six verticals you can address with the same runtime.
AI Booster ships with reference workloads camera makers can expose to their end-customers — no separate model team, no cloud dependency, no per-frame billing.
Industrial & manufacturing
Assembly verification, defect detection, tool tracking, robot-cell perception — with depth-aware object localization on the line.
Logistics & warehousing
Pallet and parcel volumetric measurement, truck-fill optimization, dock scheduling, free-space detection in high-bay racking.
Retail & smart facility
Shelf compliance, queue and dwell analytics, loss prevention — all on-camera, without streaming customer footage anywhere.
Robotics perception
Metric 3D awareness for AMRs, cobots and pick-and-place cells — the camera becomes the robot's spatial cortex, at cobot BOM.
Safety & PPE compliance
Real-time PPE detection, restricted-zone intrusion, forklift proximity — with structured events for existing EHS platforms.
Access & anti-spoofing
3D-aware liveness for access control and identity verification — resistant to photo, screen and mask spoofing by design.
From robot cells to conveyor sorting — the same runtime, the same camera fleet, deployed across the plant.
Compile — Orchestrate — Infer.
We provide an SDK that lets camera makers compile and orchestrate the use of their customer's AI model for the specific use case. Import the trained model, target the customer's SOM, and the SDK produces a hardened runtime that runs on the camera — no cloud, no tokens.
One runtime. Every camera. Real understanding.
AI Booster is the meta-compiler that turns any camera SOM into an autonomous AI sensor — compiling, quantizing and deploying advanced vision models onto low-BOM silicon, without breaking accuracy or thermal envelope.
Cameras stop being passive video sources. They become decision-making endpoints — sensing spaces and objects, adapting to dynamic environments, and collaborating with MES, WMS and robotics stacks through clean structured events.
This is the foundation that makes Physical AI economically viable at fleet scale — a direction validated by our CES 2026 MOU with ModigenceVision, combining their MARU 3D perception platform with MountAIn's application-centric Edge AI.
Key innovations & differentiators
Six technical breakthroughs that separate AI Booster from generic SDKs and cloud-hosted vision APIs.
Seamless SOM integration
Plugs directly into camera System-on-Modules — BSP, Linux, ISP layers and proprietary sensor pipelines abstracted so OEMs never rewrite their vision stack for a new silicon generation.
One-click hardware export
Compiles and quantizes 3D depth estimation, pallet spatial measurement, volumetric detection and defect classification onto low-BOM MCUs — preserving accuracy where competing toolchains lose it.
On-device privacy
100% of vision AI runs on-camera. Only structured events leave the device — zero video leaves the sensor, with zero cloud privacy exposure.
Transformative TCO
Removes PoE, edge servers and recurring cloud inference fees. Per-site capex projects become per-camera unit economics — deployable at estate scale.
Flexible commercial model
NRE customization for camera OEMs and 3D perception vendors, plus scalable volume licensing per deployed camera unit.
Workloads out of the box
Truck-fill, conveyor sorting, pallet & parcel measurement, PPE compliance, assembly verification, defect detection — on cameras enterprises already power and mount.
Ship your next camera with AI Booster inside.
We work with camera makers and 3D perception OEMs — under NRE for silicon integration, then per-unit licensing at volume. Book a technical review with our integration team, or book a live demo to see AI Booster running on partner camera modules.
OEM integration kit
Runtime datasheet, supported silicon matrix, BSP integration flow, and the MARU × AI Booster perception fusion architecture — sent by email on request.