Knowledge that powers the enterprise,
AI that works alongside it
An integrated intelligent workplace platform — the OriginMind knowledge base plus a general-purpose assistant — so knowledge scattered across systems finally gets used, repetitive work stops, and cross-team collaboration actually moves.
Traditional knowledge management can no longer keep up
Digital transformation keeps deepening, yet knowledge management still runs on folders, search boxes and word of mouth. Four core pain points are holding back the pace of the business.
Knowledge never accumulates
Experience and documents scattered across laptops, email and chat logs leave with the employee. The organisation's knowledge assets never actually stay.
Search is inefficient
Where is the compliance file? Who built that proposal last time? Finding one document means digging through three systems and asking half the office.
Teams do not connect
Sales does not know the latest development progress; support cannot get the current compliance version. Silos make every department reinvent the same wheel.
Repetitive work everywhere
Translating the same kind of document, answering the same kind of question, writing the same kind of report — transactional work eats the time of specialists.
Six core modules covering the whole working day
Not a pile of tools, but an AI workbench that actually runs. From Q&A to translation, from meetings to coding, every module solves a concrete problem.
AI intelligent Q&A
Answers grounded in your private enterprise knowledge base — accurate, with traceable sources. Not searching the public web, but finding the answer inside your own documents.
- Private RAG engine with traceable answer sources
- Regulation comparison, audit assistance, literature breakdown
- Tiered permissions — different people see different knowledge
Translation assistant
Document and image translation that preserves the original layout. Supports Chinese, English, Japanese, Korean, Vietnamese and more — and can summarise the key points while translating.
- Document translation keeps the original formatting
- 6+ languages, both directions
- Request a key-point summary alongside the translation
Meeting assistant
Automatic speech-to-text that produces minutes and action items. A two-hour meeting summarised in minutes — no dedicated note-taker required.
- Speech-to-text plus intelligent summarisation
- Automatic extraction of action items and decisions
- Clear presentation of the discussion and its rationale
Development assistant
Generate code from natural language and get optimisation advice on existing code. Newcomers ramp up faster, veterans skip repetitive typing, and the team keeps one style.
- Natural language → generated code
- Optimisation advice and best practices
- Automatic formatting to team conventions
AI image generation
Research illustrations, poster design and image-text generation straight from a text description. Marketing collateral and engineering diagrams no longer wait on a designer.
- Professional illustrations from text descriptions
- Posters, flowcharts and schematic diagrams
- Watermark removal and image enhancement
Document analysis and recognition
Upload a document and question, summarise or compare it directly. Supports PDF, Word, images and more — a good fit for compliance review, literature research and contract comparison.
- Deep understanding of multiple document formats
- Ask on upload; answers located down to the paragraph
- Intelligent contract and regulation comparison
A RAG knowledge base lets AI speak your company's language
General-purpose large models are powerful, but they do not know your product manuals, compliance files or past proposals. RAG makes the AI find the answer in your knowledge base first, then organise the language.
Why RAG instead of fine-tuning?
Fine-tuning a large model is costly and slow, and any data change means retraining. RAG separates knowledge retrieval from language generation: the knowledge base updates live, the model never needs retraining — lower cost, faster to production, fully traceable results.
Low cost
No expensive compute, no full fine-tuning overhead
Highly flexible
Live knowledge base updates respond quickly to business change
Easy to adopt
Lightweight deployment with a short path to production
How RAG works
A knowledge base only earns its keep in real scenarios
Building the knowledge base is not the finish line. We take it into the three scenarios that deliver most — customer service, sales and operations — each with a quantifiable business gain.
Customer service
7.33s
Average response time, down from minutes to seconds
Customer service
87%
Answer accuracy, up from 63%, with 46% less hallucination
Sales
30s
Query cycle, cut from 45 minutes to 30 seconds
Sales
+30%
Customer conversion rate, significantly improved
Operations
250+
Business questions handled per day
More than Q&A — AI that can get things done
AI Agents close the full loop of sense → reason → act. Not only answering questions, but calling systems, executing operations and completing an entire business process.
Sense
Ingest text, voice and image data to understand user intent and business context
Reason
Deduce and induce with the large model, calling the knowledge base and history to plan an execution strategy
Act
Call enterprise system APIs, operate databases and trigger workflows to complete the business action
Learn
Keep improving through accumulated knowledge and strategy learning — the agent evolves on its own
A layered technical architecture
From the underlying large models to the front-end applications, each layer does its own job. Supports domestic technology adaptation, hybrid cloud deployment and multi-client collaboration.
Application layer
ApplicationAI business layer
AI BusinessFoundation capabilities
FoundationLarge model layer
LLMData layer
DataMiddleware layer
MiddlewareInfrastructure layer
InfrastructureOriginMind, built for enterprise readiness
Not a lab demo — a platform that stands up to production. High availability, security and compliance, scalability and integration are not nice-to-haves, they are the baseline.
01
High availability
A hybrid architecture combining cloud and on-premises, with automatic failover so business does not stop.
02
Flexible deployment
Public cloud, private cloud or hybrid cloud — adapting to your existing IT environment.
03
Scalable
From 50 people to 5,000, from a single department to the whole group — the architecture supports growth.
04
Seamless integration
WeCom, Weaver OA, ERP and CRM connected through standardised APIs.
05
Data security
Tiered permissions, encrypted storage and operation auditing — no unauthorised access, meeting industry compliance.
06
Dedicated support
Training, documentation, best practices and 7×24 technical support — we deliver capability, not just a system.
We deliver the platform — and the capability to use it
From model tuning to staff training, from go-live to continuous optimisation, we provide full lifecycle services so the platform genuinely gets used.
01
Model tuning and iteration
Vertical adaptation based on your industry data — injecting domain knowledge and improving retrieval precision. We do not hand you a generic model; we train one that understands your business.
02
Dynamic iteration system
A built-in performance dashboard (intent accuracy, hallucination detection, response relevance). Negative user feedback automatically triggers incremental training, so the model gets better with use.
03
Tiered training service
Separate tracks for decision-makers, engineers and business users. Not just which buttons to click, but how to fold AI into daily workflows.
04
Hands-on co-delivery
Your team takes part across data cleaning, training and deployment. After we leave, your own people can maintain and iterate it.
What you receive
Software system
The OriginMind platform (production + test environments) with every functional module
Technical documentation
User manual, system technical documentation, API integration guide, deployment manual, operations manual
Training service
4 hours of dedicated training (users + administrators), including slides and operation videos
Acceptance documents
Project acceptance report, deliverable receipt, system acceptance and go-live assurance
Who uses it, and what changed
These are not slide-deck cases but projects actually running in production. From semiconductor R&D to biopharmaceuticals, all privately deployed — data never leaves the internal network.
Jingzhan Semiconductor
A fabless high-end display chip design company. 60+ staff, 85% in R&D, with verification engineers spending 60% of their time on debugging.
- The headache
- Long cycles to debug simulation assertions, slow coverage convergence, specs and manuals scattered everywhere
- What we did
- Privately deployed Qwen2.5-72B with a MaxKB knowledge base and the vLLM inference engine, rolled out in three phases
- The result
- A verification Copilot speeding up troubleshooting, a reusable searchable knowledge base, phase one live in 90 days
Ocumension Therapeutics
An ophthalmic pharmaceutical company that must satisfy FDA/NMPA compliance audits, with knowledge management aligned to GxP requirements.
- The headache
- Knowledge spread across many systems, cross-team work by email, heavy repetitive effort, slow retrieval of compliance documents
- What we did
- OriginMind (Q&A, translation, meetings, coding, image generation, document analysis) with a RAG architecture integrated into WeCom
- The result
- 7.33-second average response, 87% retrieval accuracy, 30% higher sales conversion, 6 hours less daily effort per role
Dongyao Pharmaceutical
A pharmaceutical manufacturer needing multiple AI applications — regulation assistant, audit assistant, CV assistant — to cover the whole business process.
- The headache
- Manual line-by-line regulation checks, time-consuming audit testing, inconsistent CV screening standards
- What we did
- OriginMind covering 9 business scenarios: intelligent Q&A, translation, meetings, coding, image generation, regulation, audit, CV screening and the knowledge base
- The result
- Automated regulation comparison, simulated audit testing, unified CV screening standards — delivered in 3 months
Do not just read — try it
We have a running instance ready. Experience AI Q&A, translation and document analysis for yourself — far more convincing than ten pages of proposal.
The screenshot shows a real pharma industry interface. To see it tailored to your industry, book a dedicated demo.
Open the live demo →AI Q&A
Ask a business question and the AI finds the answer in the knowledge base, marking cited sources — no guessing.
Document analysis
Upload a PDF or Word file and the AI extracts key information, generates a summary and highlights differences.
Translation assistant
Real-time multilingual translation that keeps technical terminology accurate, tuned for pharma and manufacturing.
Meeting minutes
Upload a recording or transcript and the AI organises action items, decision points and owners automatically.
Want to see what AI looks like inside your business?
Book a 30-minute product demo — we build it around your actual business scenarios, not slides.
Book a product demo →