Discover how industry leaders leverage MatrixOrigin products to drive intelligent, data-powered transformation
Students don't know what to read or how; parents can't see progress; teachers can't follow every child. Tencent built AI Tutor on MOI, using a multi-agent architecture that turns one reading session into a personalised path, interactive Q&A, comprehension testing and knowledge expansion.
MOI connects procurement document parsing, item confirmation, multi-source research, supplier recommendations, price analysis, and report export in one evidence-backed workflow.
In flash smelting, concentrate melts in two to three seconds and quality depends on precise slag control. JXCC built its furnace-side AIoT platform on MOI — sensors and images in one engine, vision models running as in-database UDFs — cutting furnace-bottom copper loss by 80%.
A leading new energy manufacturer built an AI data platform with MatrixOne Intelligence, enabling end-to-end automated bid document generation and improving bidding decision efficiency by 40%.
A department-level knowledge base built from 200+ PDF drawings combines visual, semantic, and full-text retrieval to return the Top 3 matches with evidence.
MOI extracts products, dimensions, tolerances, materials, and technical requirements from drawings, maps them into enterprise templates, and preserves human-review boundaries.
Supervisory questions cut across systems never designed to answer them together. A POC on MOI pre-computes derived indicators and routes a plain-language question — in Chinese or English — to the right SQL, pandas, news-join, MongoDB or CCASS workflow.
Monitoring ASEAN's industrial landscape means tracking 10 countries across dozens of sectors, each with its own regulators, government portals and language. CAICT built automated multi-country, multi-language acquisition with AI risk detection on MOI.
A single opening draws 3,000+ resumes, and manual first-pass screening takes days. MOI structures batches of PDF resumes, scores them against job rules with evidence, and completes a full pass in under an hour.
As AI reaches government services, petabytes of raw government data have to become usable, high-quality corpora. SZSC built a provincial government corpus governance platform on MOI covering cleansing, annotation, quality inspection, classification and compliance review end to end.
The knowledge that resolves a ticket is scattered across implementation docs, configuration records, patch notes, SOPs and past tickets. Hand built an AI knowledge base for ERP operations on MOI, with retrieval scoped to each customer's environment and version, and answers that cite their source.
An in-cabin assistant improves only as fast as its training data. eBanma aggregates the fleet's daily voice and language volume onto MOI, standardised on a common event schema, with audio, transcripts, embeddings and labels in one engine — so a training corpus is queried rather than hunted for.
Underwriting personal auto or homeowners means assembling evidence from many places — the application, motor vehicle and loss-history reports, prior carrier declarations. Mercury built intelligent underwriting on MOI: submissions are parsed into structured facts, scored against state and product guidelines, and clean ones decided automatically.
IBS symptoms are subjective and a five-minute visit rarely captures enough of them. The hospital built an AI consultation system on MOI: patients complete a guided interview from home, while doctors get reply suggestions, subtype classification and auto-generated records.
MOI preserves tables, flowcharts, charts, SmartArt, and embedded images across PDF and Office files, creating structured, traceable inputs for knowledge bases and Agents.
Every data question in the business ended up at the finance department, which had effectively become a data help desk. An intelligent Q&A agent lets business users ask in plain language and get charted answers in seconds.
Amway Nutrilite adopted MatrixOne Intelligence to build a unified AI data engineering platform, cutting average data preparation time for new AI applications by 80%.
A legal team at a multi-billion-dollar multinational handles a large volume of cross-border contracts, with long manual review cycles, risk findings that could not be traced, and standards that varied by reviewer. Amway built a unified legal knowledge brain on MOI that flags risk clauses, missing clauses and inconsistent definitions in seconds.
Fund flows between ~6,000 depositors and 1,000+ banks generate millions of new transaction records a month and hundreds of millions of rows in total. StoneCastle rebuilt the stack on MOI in two phases: an HTAP engine replacing MySQL, then natural-language querying on top.
Industry scanning, target identification and post-investment tracking all ran on manual effort, with internal and external data siloed apart. The fund built an AI investment intelligence system on MOI: multi-source data is collected and structured automatically, linked into industry-chain, company and technology knowledge graphs, with reports and alerts generated on top.
Talent policy is a moving target — subsidies, housing, settlement and qualification recognition come from different departments, tiers and effective dates. The group built a policy RAG chatbot on MOI whose answers carry their source and effective date.
Shenzhen Smart City Group rebuilt their traffic data platform on MatrixOne, reducing data components by 80%, achieving sub-second analytics, and cutting operational costs by 50%.
A platform is only worth what it can collect. Rather than buying interfaces, Baoshan uses MOI to extract raw data directly from each institution's database or standby replica, then integrates it into the 17 business domains of the municipal shared data set.
MOI digitizes survey reports, scans, cross-page tables, and drawings while preserving layout semantics and source evidence, making historical archives searchable and reviewable.
To absorb high-frequency acquisition, deep traceability queries and semi-structured intermediate results at once, the MES had bolted InfluxDB and MongoDB onto MySQL — pushing work that belongs in a database up into the application. Migrating to MatrixOne returned it to a single database, in under a week.
In PCBA manufacturing the BOM drives procurement, production and quality control, and every entry needs 20+ structured parameters copied by hand from component datasheets. ETAO Tech built a BOM auto-fill assistant on MOI that parses complex layouts and extracts them.
Extreme Vision built a unified AI feature data platform on MatrixOne, cutting model development cycles by 30% and boosting feature reuse by 40%.
Terabytes of transaction data across 80,000+ merchants sat almost entirely unused. Olsera built a merchant analytics chatbot on MOI, pairing a Medallion-architecture warehouse with NL2SQL for data questions and RAG for operational ones.
Employees raise IT requests through an internal ticketing system, but the knowledge that resolves them is scattered. ETPI built an AI chat assistant on MOI as a single natural-language entry point for IT service.
Jinyitao built an intelligent search platform on MatrixOne Intelligence, enabling image-based tile product discovery with 90% improvement in search efficiency.
Angrui Technology migrated from RDS MySQL to MatrixOne Cloud Serverless, reducing operational costs by nearly 50% with order-of-magnitude performance improvements.
TechAgent replaced MySQL, MongoDB, ElasticSearch, Faiss, and ClickHouse with a single MatrixOne instance, cutting customer delivery time from 2 months to 1 week.
The bottleneck was the database, not the optics. Detection results were written to a hosted MySQL instance where tens of thousands of daily records were held together by sharding plus pre-aggregation. On MOI, write performance improved by an order of magnitude and the platform scaled past 70 devices without re-architecture.
The wallpaper-industry ERP ran on SQL Server instances each hosting hundreds of customers with roughly 500 tables, where reporting interfered with order entry. Moving to one serverless instance per customer gave every tenant full isolation, with per-SQL billing matching a business that peaks about six hours a day.
A capability knowledge base and RFQ parser let an Agent classify each requirement as compliant, non-compliant, or uncertain, cite evidence, and fill the original Excel template.
MOI parses email threads plus PDF and Excel attachments, extracts RFQ fields, then supports code mapping, human validation, and SQL Server ingestion.