Alp Lab

Alp Lab provides vendor‑neutral Edge AI modules that embed high‑performance, AI‑optimised compute directly into robotics and smart‑manufacturing devices, eliminating cloud latency and connectivity constraints.

Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Robotic and manufacturing systems often rely on cloud-based AI processing, which introduces latency, requires constant connectivity, and creates integration challenges across diverse hardware platforms. This limits real-time decision-making and hampers deployment flexibility in industrial environments.

Solution

Alp Lab offers vendor‑neutral Edge AI modules that embed AI capabilities directly into edge devices used in robotics and smart manufacturing. The modules follow an open‑standard pin‑to‑pin form factor, making them compatible with any silicon vendor and allowing developers to build a single software stack that runs on multiple hardware families. A unified Alp SDK provides a consistent C API across Zephyr, Yocto Linux, and bare‑metal environments, simplifying firmware development and enabling rapid porting of applications. By delivering industrial‑grade, AI‑optimised compute at the edge, the solution reduces latency, eliminates dependence on cloud connectivity, and supports scalable deployment across heterogeneous device fleets.

Target Audience

Primary customers are robotics integrators, smart‑manufacturing equipment vendors, and industrial automation engineers who need on‑device AI that can run across diverse hardware platforms without cloud dependence.

Features

Open‑standard E1M module form factor with pin‑to‑pin compatibility for Alif, Renesas, NXP, DEEPX and other silicon vendors
Unified Alp SDK offering a single `<alp/...>` C API, board.yaml configuration, and over 70 chip drivers with 50+ example projects
Support for multiple operating environments (Zephyr, Yocto Linux, bare‑metal) enabling flexible integration into existing edge devices
High‑performance AI accelerators ranging from 0.5 TOPS to 25+ TOPS, suitable for vision, perception, and control workloads
Industrial‑grade hardware design with robust mechanical and electrical specifications for harsh manufacturing settings
Community‑driven documentation, forums, and open‑source resources to accelerate development and troubleshooting