YongcanYONGCAN TECHNOLOGY
Solutions
Enterprise applications and industrial operations.
From understanding needs to implementation and everyday use.
Featured solution
Connect 3D spaces, equipment data and business processes across grain depots, campuses and ports. View operating conditions, locate issues and check business information in one scene.
Customer practices
From retrieving and analyzing business data to sending updates through WeCom, we work with business teams to create a connected scheduling workflow.
About Yongcan
Nantong Yongcan Information Technology Co., Ltd. provides solution design, joint implementation and adoption services for enterprise knowledge, data, workflows and operations.
We work with business and IT teams from initial discussions through real-task validation, helping people use the results and retain what they learn.
Meet Yongcan ↗NVIDIA announced an expanded open-model portfolio on October 21, spanning language and vision, structured business data and robotics simulation. The update highlights the growing role of industry data and deployment capabilities in enterprise AI.
Google Cloud announced OpenAI models for Model Garden on October 21, beginning with a private preview for selected enterprise customers. Model choice, unified billing and data governance are central to the announcement.
DeepSeek has released DeepInfer, the framework behind its large-scale production inference services. The release provides core offline inference capabilities for DeepSeek-V4.1-Flash, with additional components still required for a complete online service.
Mistral released Voxtral 3 and a voice-agent SDK on October 20, connecting transcription, reasoning, tool use and speech output for contact centers, service desks and virtual assistants.
MiniMax released M3.1 Flash on October 19 for agentic work, coding and computer use. The company emphasizes faster inference and lower costs, and identifies Space Bunny as an early version of the model.
Inception introduced Mercury 3 on October 19, emphasizing diffusion-based text generation, a one-million-token context window and low latency for support, interactive learning and web agents.
Define inputs, outputs and validation methods around a real role before deciding how to begin.
Readable data is only the beginning. Business rules, human review and delivery also need design.
Retain input requirements, operating steps and review methods so the next task has a starting point.
AI solutions
From Agent adoption to FDE co-development,
we help enterprises use AI in real business.
Choose worthwhile tasks and organize your knowledge, data and workflows.
We build, test and improve alongside your team, helping the solution become part of everyday work.
Bring your goals, team and existing resources.
We identify worthwhile priorities and move implementation forward step by step.
Not sure where to start? Tell us about the problems your business faces today.
From individual tasks to complex cross-team workflows,
choose a service scope that fits your situation.
Start with one priority application.
Define the task, build together and test in practice before deciding how to expand.
Work with actual users to confirm the task, prerequisites and acceptance criteria.
Organize information and rules, select suitable tools, and configure, build or connect within the agreed scope.
Test with real tasks, record problems, check outputs and refine the approach with business users.
Review quality, time, cost and adoption to decide what to retain, improve and extend.
Support continues throughout the process. Problems found in real use feed back into the solution.
A usable solution, reusable experience and a team that can take over.
Every deliverable supports the work your enterprise will do next.
Record quality, time and issues in real tasks to decide how to improve and reuse the solution.
Deliverables and acceptance methods are agreed according to the project scope.Clarify the investment and prerequisites,
then choose the approach that fits.
Start with where the team is stuck. If people need help using the tools, begin with practical training. If information, rules and tasks need organizing, co-develop an application. For system integration and cross-team workflows, assess FDE collaboration. Combine tools and services according to actual needs.
Bring representative materials, a real task and a colleague who understands the business. We can identify information gaps and preparation requirements before deciding the scope.
Agree on review methods before starting. Compare the full workflow during the trial, including preparation, processing, checking and revision. Review output quality, adoption and costs before improving, extending or changing the approach.
Scope depends on the task. The proposal specifies product versions, training, application development, integration and ongoing support, including prerequisites, responsibilities and deliverables, so you can assess the investment.
Tell us how you work today, where you get stuck and what you want to achieve.
We help you assess which application and collaboration approach to start with.
Related customer stories
System integration, practical training, digital assistants and application ideas to explore.
Customer stories
Grain storage, smart campuses, group oversight, port operations and enterprise AI applications.
Explore projects built around real business needs.
Grain & ports
Connect business data retrieval, AI-assisted analysis and WeCom notifications into a continuous scheduling workflow.
A 3D digital twin of a grain depot integrates warehouse, grain condition, inbound and outbound movement, energy use and security video data, with a dashboard and management platform delivered together.
Bring materials, methods and deliverables into practical training for knowledge Q&A, market research and enterprise presentations.
Warehouse management, grain condition monitoring, gas detection, weather monitoring and alerts, supported by a digital twin visualization dashboard.
Explore digital assistants for equipment safety, ship structure and strategic assessment, helping address professional questions and analysis tasks.
3D radar inventory point-cloud modeling, automatic sampling integration and linked video monitoring bring acceptance applications, tasks and working papers online, without requiring inspectors to visit every depot.
Link vessels, cargo handling facilities and operating status in a night-time port scene, illustrating berthing, ship-to-shore connections and handling processes to support stage checks and safety confirmations.
A proposed approach to equipment failures and process anomalies, combining enterprise knowledge, 5 Whys analysis and expert review.
A centralized multi-depot oversight platform for a grain group along the Yangtze River, combining warehouse and grain conditions, intake and dispatch, access control, vehicle speed monitoring and hazardous-work approvals, with synchronized mobile management.
Bring operational risks and alerts from multiple regions onto a map, with risk levels, event types and response status, helping management move from an overview to priority areas and pending actions.
Turn scattered supplier quotations into a comparable list, highlighting price, specification and commercial differences for evidence-based procurement decisions.
Procurement progress oversight for a provincial grain authority: enterprises submit reports through PCs and a WeChat mini program, with online review and aggregation at county, city and provincial levels and real-time visibility during peak procurement periods.
Organize campus buildings, people, zones and surveillance access within a 3D panorama. An overall view and area analysis help managers understand the spatial layout and operational priorities.
Bring plans, BOMs, inventory and delivery information together to make material readiness, shortage impacts and follow-up tasks clearer.
A multi-tenant unified portal for a port terminal operator, using SSO to connect more than ten production subsystems and consolidate silo capacity, loading and unloading operations, shift handovers and a digital twin dashboard.
View port spaces, vessels, equipment and operational metrics together, with equipment maintenance records, pipeline information and risk alerts to assess operating conditions.
Reconstruct the spatial distribution of cranes, yards, containers and vessels as a 3D foundation for berth viewing, site walkthroughs and operational area introductions.
View flat warehouses and silos in a 3D depot, select areas by warehouse labels, and explore through automatic or manual walkthroughs.
Connect production equipment in a 3D workshop with operational, fault, maintenance and inspection records to help managers understand equipment distribution and status.
Connect racks and storage locations with inventory data, categories, quantities and movement trends, helping teams locate the physical space behind the data.
Link equipment, electricity use, monitoring and operational risks to a 3D scene for status checks, risk location and site management.
Use structural cutaways, assembly demonstrations and maintenance materials to turn abstract principles and procedures into interactive 3D training.
Combine 3D spaces and management data to present an overview, staffing information and operational status in an intuitive spatial view.
Customer names are generalized for confidentiality. Further project details can be discussed during business conversations.
Enterprise applications
System integration, practical training and specialist applications that support everyday work.
Customer stories
Connect systems, retain experience and help teams use the results.
Starting with real tasks, explore how we work with enterprises
to make AI a practical business capability.
Electronics manufacturing / Scheduling and integration
The enterprise already had ERP and MES systems. Scheduling required data retrieval, processing and communication across systems. Yongcan deployed internal integration tools and co-designed Skills and Agents with business users to bring AI into this workflow.
The scheduling application is now in use. Scheduling information and reports can be delivered to management through a WeCom bot.
Projects are shown anonymously, with industry illustrations. See the details for the implementation scope of proposed solutions and application examples.
Describe your current approach, difficulties and desired outcome.
We can assess the right way to begin together.
NVIDIA announced an expanded open-model portfolio on October 21, spanning language and vision, structured business data and robotics simulation. The update highlights the growing role of industry data and deployment capabilities in enterprise AI.
Google Cloud announced OpenAI models for Model Garden on October 21, beginning with a private preview for selected enterprise customers. Model choice, unified billing and data governance are central to the announcement.
DeepSeek has released DeepInfer, the framework behind its large-scale production inference services. The release provides core offline inference capabilities for DeepSeek-V4.1-Flash, with additional components still required for a complete online service.
Mistral released Voxtral 3 and a voice-agent SDK on October 20, connecting transcription, reasoning, tool use and speech output for contact centers, service desks and virtual assistants.
MiniMax released M3.1 Flash on October 19 for agentic work, coding and computer use. The company emphasizes faster inference and lower costs, and identifies Space Bunny as an early version of the model.
Inception introduced Mercury 3 on October 19, emphasizing diffusion-based text generation, a one-million-token context window and low latency for support, interactive learning and web agents.
Define inputs, outputs and validation methods around a real role before deciding how to begin.
Readable data is only the beginning. Business rules, human review and delivery also need design.
Retain input requirements, operating steps and review methods so the next task has a starting point.
DeepSeek has released DeepInfer, the framework behind its large-scale production inference services. The release provides core offline inference capabilities for DeepSeek-V4.1-Flash, with additional components still required for a complete online service.
Illustration: original editorial artwork, not a product interface or event photograph.
On October 20, 2026, DeepSeek open-sourced DeepInfer. The official repository describes it as the high-performance inference framework powering DeepSeek’s large-scale production services. The release provides offline inference and core capabilities for operating at scale, with support for DeepSeek-V4.1-Flash.
DeepInfer focuses on running models. Its capabilities include optimized kernels, parallel processing, asynchronous scheduling and structured outputs. The repository uses the Apache 2.0 license. It is an engineering framework for deployment and inference, rather than a ready-to-use consumer chat application.
The repository explicitly lists components still needed for a complete service, including a KV cache system, elements of service disaggregation and load balancing. It also specifies Linux, Python and hardware software requirements. The code supports research and engineering evaluation, while a reliable online service still requires additional integration and operations work.
Inference cost and response time directly affect the experience of AI search, coding and automation tools. Enterprises can track task success, elapsed time, hardware utilization and maintenance effort together. Faster generation alone does not establish that a complete business process is more economical; real tasks and sustained operating data provide better evidence.
Adapted from DeepSeek official GitHub repository. Event date: 2026-10-20. Compiled on October 22, 2026. Sections marked “Our perspective” are editorial analysis.
ABOUT YONGCAN · YONGCAN TECHNOLOGY
From everyday tasks to on-site operations,
we turn your needs into practical solutions, together.
Meet Yongcan
Nantong Yongcan Information Technology Co., Ltd.
We connect enterprise applications with on-site operations, putting knowledge, data and processes to work on real tasks.
Yongcan develops solutions around real business needs, from AI, 3D visualization and office applications to smart grain storage, security and workshops.
We value the experience of the people who use our solutions. From understanding requirements and designing solutions to building together, we work with business and IT teams to test results against real tasks and put applications into use.
Our capabilities
Connect people, systems and sites,
with a clear purpose for every solution.
01 / Enterprise applications
Connect existing information and systems for knowledge queries, role-specific tasks and everyday office work, bringing tools into daily use.
02 / Spaces and sensing
Link equipment, data and management processes in 3D scenes. Combined with security applications, they help teams monitor conditions and locate issues.
03 / Industrial operations
For grain storage and production workshops, align on-site tasks, equipment data and management needs to support coordinated operations.
See how our solutions work in real projects.
View customer storiesHow we collaborate
From requirements to daily use,
we work alongside your team.
Work with end users to review tasks, existing systems and information, then define the scope and expected outcomes.
Define requirements and scopeBring business, IT and delivery teams together to try solutions on specific tasks and refine workflows and ways of working.
Validate with real workHand over operating guidance, review rules and maintenance responsibilities clearly, so your team can take ownership and retain what it has learned.
Equip your team to take ownershipStart a conversation
Whether you are building a new application or improving an existing system, we can start with one specific need.
Contact us about solutions, projects and service partnerships.