Cloudwalk offers an AIoT platform that integrates edge devices, a collaborative operating system (CWOS), and multimodal foundation models to provide on‑device inference and standardized APIs for vision, speech, and language processing. The solution includes privacy‑computing, data‑governance, and AI‑Agent tools, allowing large enterprises and public agencies in finance, manufacturing, energy, and smart city domains to deploy AI capabilities without extensive custom integration.
Funding
$253.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises across finance, manufacturing, energy, and public administration face fragmented AI solutions that require separate hardware, proprietary software stacks, and extensive integration effort to connect perception, cognition, and decision‑making across physical and digital environments.
Solution
Cloudwalk delivers an end‑to‑end AIoT ecosystem that unifies edge devices, a human‑machine collaborative operating system (CWOS), and large multimodal models into a single platform. Edge hardware such as facial‑recognition terminals, structured‑light depth sensors, and intelligent cameras perform on‑device inference, reducing latency and bandwidth usage. CWOS orchestrates data flow between sensors, the cloud, and downstream applications, exposing standardized APIs for vision, speech, and natural‑language processing. The company’s AI‑Agent and DataGPT services provide pre‑trained large models that can be fine‑tuned for domain‑specific tasks, while the privacy‑computing and data‑governance platforms ensure compliance with regulatory requirements. Integrated dashboards and SDKs enable rapid deployment of AI capabilities in smart finance, smart manufacturing, smart energy, and smart city use cases without bespoke development.
Target Audience
Primary customers are large‑scale enterprises and public‑sector agencies in smart finance, smart manufacturing, smart energy, and smart city/governance that require integrated AI perception, cognition, and decision‑making capabilities.
Features
- Edge AIoT devices (face‑recognition terminals, dual‑camera structured‑light modules, high‑resolution smart cameras) with on‑device GPU acceleration and encrypted data pipelines.
- CWOS (Human‑Machine Collaborative Operating System) that abstracts sensor fusion, model serving, and workflow orchestration via RESTful and gRPC interfaces.
- Large multimodal foundation models (Cong Rong) supporting vision, speech, and text tasks, accessible through the DataGPT API for zero‑shot and fine‑tuned deployments.
- Open‑source privacy‑computing framework that enables secure multi‑party computation and federated learning across distributed edge nodes.
- Enterprise‑grade data governance platform (BaiZe) offering metadata cataloging, lineage tracking, and policy‑driven access control for petabyte‑scale datasets.
- AI‑Agent platform that allows developers to compose autonomous agents with tool‑calling, context‑aware reasoning, and dynamic workflow execution.
- Comprehensive SDKs (C++, Python, Java) and low‑code integration kits for rapid embedding of AI capabilities into existing ERP, CRM, and SCADA systems.