Six Products (2026 Edition)
From the native multimodal model platform to a Multi-Agent OS, Skills library and local-first digital-employee gateway — ready-to-deploy enterprise AI stack. Tap any card for the dedicated product page.
Tap into each product
Each product has its own page with long-form description, key capabilities, scenarios and quantified outcomes.
Enterprise Native Multimodal Model Platform
Private / on-premise deployment with full-modal I/O for finance, manufacturing, energy and retail. Built-in hallucination suppression — LLM + classical algorithms + rule engine, validated end-to-end by RAG and knowledge graphs.
Multi-Agent Operating System
From single agent to multi-agent collaboration — task scheduling, sandbox isolation, memory management and model assembly. Pre-built office, finance, risk, marketing and ops agents work out of the box.
Skills Vertical Workflow Library
Packaged high-frequency workflows for financial risk, retail pricing, manufacturing process and energy inspection — one-call invocation, lower dev barrier, less wasted inference and clean integration with existing systems.
Local-First Digital Employee Gateway (OpenClaw)
Local deployment with secure, controlled data — integrates with WeCom, DingTalk and Feishu. Executes processes automatically and remembers business rules, replacing repetitive manual work.
Multimodal Data Governance & Vector Lake Platform
One-stop cleaning, labeling, vectorization and knowledge-graph construction — the fuel system for enterprise AI. Real-time multimodal ingest and feedback loops drive continuous model iteration.
AI Engineering & Ops Platform
MLOps + Agent Sandbox — model stress testing, observability and automated iteration. A microservice + agent hybrid architecture compatible with LLM, Chain and Graph execution engines.
Tian Suan AI Super Employee (Omni-Channel Short-Video Ops)
One AI super-employee replaces 10 marketing/ops staff — batch remix, multi-platform publishing, automated lead capture, DM-to-WeChat funnels, humanlike AI replies and global supervision. Covers script, capture, edit, publish and operate end-to-end with 10–50× throughput.
Defined scope. Accountable delivery.
Staged pricing & acceptance
Discovery, pilot and rollout have separate scope and fees. Contracts define baselines, evaluation samples, acceptance metrics and responsibility. Results are not unconditionally guaranteed.
Customer business data stays off-chain
Business records and personal data are not written to a blockchain. Confirm deployment region, model providers, access, retention and deletion in writing before work begins.
Clear contracting & delivery responsibility
Before signing, obtain and verify the legal entity, registration, jurisdiction, delivery owner and dispute terms. DAO collaboration does not replace contractual responsibility.