Built on a proven enterprise stack, our agent platform delivers the security, availability, and integration depth that complex business scenarios actually need. Dependable automation for the work that matters most.
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A unified on-prem and cloud vector framework with strong parsing, retrieval, and reranking, built for the realities of unstructured enterprise data.
The system picks a retrieval strategy to match the scenario and document type on its own, lifting answer accuracy without manual tuning.
Combine knowledge bases with database queries across structured and unstructured sources, so the questions a single retriever cannot answer are answered anyway.
A visual AI Flow editor with diverse node types and integrations, plus isolated sandboxes that keep development safe.
Self-planning tasks and intelligent dispatch let multiple agents collaborate, turning natural-language intent into executed work.
Access multiple models without key management. Tiered failover and intelligent scheduling balance stability, security, and cost.
A leading vector pipeline for unstructured data, with parsing, preprocessing, retrieval, and reranking across on-prem, cloud, and multimodal sources. Automated RAG configuration adapts the stack to each scenario and document type, lifting answer accuracy out of the box. A cost-compression framework keeps large-volume workloads economical. Structured and unstructured sources are queried together, so knowledge bases and databases answer as one.
An early entrant in China's AI agent space, we combine flows, knowledge bases, databases, and plugins into a complete AI Flow framework, with a visual editor and an integrated toolset. The platform covers what agent development actually needs: structured and unstructured data nodes, APIs, code, and plugins, plus batch, scheduled, API, Webhook, and JS or Python SDK integrations. Model controls and code mode handle the harder cases, and an isolated sandbox keeps production safe and extensible.
The multi-agent task engine handles intelligent dispatch and coordinated execution across complex scenarios. A self-planning layer lets the system shape its own workflow, and more enterprise tasks are wrapped as natural-language commands that execute on delivery, making applications smarter and easier to operate.
Three deployment models (SaaS, on-prem, and integrated appliance) fit different customer requirements. Granular permission controls, network isolation, encryption, and runtime monitoring form the security baseline. Backed by the experience of delivering hundreds of thousands of agents for enterprise teams, we provide the soft services that turn an AI project into a production outcome.
AI is reshaping every industry: leaner production on the factory floor, sharper diagnosis in medical imaging, end-to-end optimization in logistics, and a new wave of creativity in media. Agent technology is meeting these scenarios where they live, opening real paths to lower cost, higher efficiency, and durable growth. Explore the solutions below and start reshaping your business.
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