Empower every enterprise with its own AI core capabilities
TIO AUTOPLAT: AIDA, the private enterprise agent, built on an AI and knowledge foundation, wide-domain model training, AI-oriented data governance, production-grade master data and a native knowledge database.
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AIHub, the enterprise AI & knowledge foundation, defines how a digital employee works, what it knows and what it can reach. AIDA, the private enterprise agent, is where people talk to it and watch it execute. Execution evidence flows back into the Wiki and memory, so the role gets more accurate with use.
Role goal + Wiki binding + memory policy + tool / Skill whitelist, published as an agent topology in the designer: the steps, where it branches, re-plans and hands off to human review.

Data is governed in DataHub and Maindata, AI and knowledge live in AIHub, models are trained in AIBase, and business users work in AIDA.
AI-oriented data governance, production-grade master data and a native knowledge database.
Enterprise AI & knowledge foundation, plus wide-domain model training.
Private enterprise agent: ask data, get answers and call digital employees in one conversation.
TIO AUTOPLAT covers the full enterprise AI chain in layered products, without duplicated builds.
The data layer is anchored by DataHub for AI-oriented governance; Maindata is a standalone production-grade master data system that works with it, and TIODATA points to the native knowledge database.
AI-oriented data governance: built-in governance, secure supply, AI consumption.
Open DataHubGenerally availableProduction-grade master data governance: modeling, code approval, merge and distribution, working with DataHub.
Open MaindataTechnology previewNative knowledge database: queryable on write, knowledge compiled with evidence.
Explore TIODATATypical scenarios under one role formula: capability boundaries and knowledge bindings are configured in AIHub, and business users work with them in AIDA.

Configurable role
Service roles define scope through Wiki and tool allowlists, with channels as execution touchpoints in AIDA.
Not a pile of features, but differentiated barriers built around the core challenges of enterprise AI adoption
Private deployment keeps data in your domain; AIDA supports offline delivery and DataHub runs on domestic operating systems and databases for high-compliance scenarios.
Based on the Model Context Protocol standard, AI capabilities extend to any business system through unified interfaces, no repeated development, near-zero integration cost.
Application layer: AIDA private enterprise agent. Intelligence layer: AIHub enterprise AI & knowledge foundation, AIBase wide-domain model training foundation. Data layer: DataHub AI-oriented data governance, Maindata production-grade master data governance, TIODATA native knowledge database. One platform, clear boundaries, no duplicated builds.
AIBase includes evaluation gates and fine-tuning pipelines, and digital employees feed execution evidence back into memory and Wiki; knowledge follows DataHub governed catalogs, so it gets steadier with use.
Every AI inference and every agent call is traceable. Complete execution logs, cost attribution, and quality scoring make AI usage accountable and traceable.
Over 10 years in manufacturing, finance, government, retail, and more. Validated by 100+ leading customers, 12+ invention patents, 36+ software copyrights—double accumulation of technology and experience.
Efficiency figures are typical-scenario estimates and traceability is a design target; actual results depend on project evaluation and deployment. We do not publish untested TPS / concurrency benchmarks.
Founded in 2015 in Chengdu, TIO builds enterprise AI infrastructure. The product system is TIO AUTOPLAT: at the application layer, AIDA, the private enterprise agent; at the intelligence layer, AIHub (enterprise AI & knowledge foundation) and AIBase (wide-domain model training foundation); at the data layer, DataHub (AI-oriented data governance), Maindata (production-grade master data governance) and TIODATA (native knowledge database).
We help enterprises run AI in their own environment: data is governed, knowledge becomes structure, models are trained as needed, and private agents and digital employees put it to work as governed, reusable enterprise assets.
Book a product demo and tell us which products and scenarios you care about. We will match you with the right consultant.
We respond within 2 hours on working days and arrange a dedicated consultant for in-depth communication within 48 hours, providing solution recommendations for your business scenario.