Built for Business Outcomes
AI must directly improve customer understanding, solution design, task coordination, risk management, and organizational reuse.
We connect large language models, enterprise knowledge, business rules, and real-world workflows to build AI products and a central enterprise AI brain for real estate and complex service industries—capable of understanding the business, coordinating execution, incorporating human approval, and turning every outcome into lasting organizational knowledge.
LINFOND focuses on complex environments such as real estate development, residential technology, project delivery, and property services. We begin by identifying the real problem, business rules, ownership boundaries, and data sources. Only then do we bring models into the workflow to understand, retrieve, generate, validate, alert, and write results back to business systems.
AI must directly improve customer understanding, solution design, task coordination, risk management, and organizational reuse.
We turn expertise in real estate, customization, engineering, and service into knowledge and rules that AI can invoke and business teams can verify.
Authorized staff approve and document pricing, schedules, commitments, customer ownership, construction releases, and dispute decisions.
Strong solutions, customer insights, lessons learned, and delivery experience become reusable organizational capabilities rather than remaining with individuals.
A model is not a standalone destination. It creates lasting operational value only when it can understand context, retrieve the right resources, coordinate action, and write verified outcomes back into the business.
Extract facts, needs, commitments, risks, and action items from customer conversations, project materials, and daily records.
Retrieve policies, products, case studies, drawings, and past resolutions according to access permissions, while preserving sources and versions.
Apply rules, draft content, detect conflicts, assign tasks, and route critical decisions for human approval.
Capture verified customer insights, task outcomes, and lessons learned in business systems and organizational memory.
This is not a home-improvement marketplace, nor does it replace CRM, BIM, cost management, procurement, or construction software. It connects customer needs, product rules, solution versions, construction delivery, and aftercare through one traceable data chain.
Our eight products can be deployed independently or orchestrated through the LINFOND AI Control Hub. Every application has defined inputs, business rules, human approval points, and verified write-back.
Capture interaction details, assess information quality, build dynamic customer profiles, and recommend follow-up actions for approval before adding them to customer records and tasks.
Check registrations, authorizations, protection periods, and contribution evidence, routing conflicts to authorized staff for review.
Understand conversations, retrieve trusted knowledge, draft replies, identify risks and action items, and write back approved outcomes.
Extract customization needs, apply product rules, detect conflicts, and help explain solutions, while leaving versions and commitments subject to human approval.
Consolidate daily reports and field data, identify delays, missing evidence, and anomalies, and trace each issue to the building, floor, and individual unit.
Understand service requests, retrieve property history, assist with classification and ownership, and move work through dispatch, acceptance, follow-up, and review.
Make policies, case studies, drawings, and project materials permission-aware, searchable, citable, traceable, and reusable as organizational memory.
Aggregate customer, project, service, and risk signals into traceable management summaries without replacing official metrics or human decisions.
LINFOND products do not begin with a feature list. They begin with the gaps, responsibilities, and outcomes that shape a real operating chain.
Turn a single visit into durable customer understanding, with every service action assigned to a specific person and time.
Turn conversations into tasks and outcomes into traceable, reusable organizational memory.
Connect field management with post-delivery service through risk, evidence, accountability, and outcomes.
The LINFOND AI Control Hub connects user channels, business systems, organizational knowledge, model services, and business agents. Together, they create an enterprise capability that understands context, orchestrates tasks, incorporates human review, and learns continuously.
LINFOND has been co-developing solutions with a multi-project residential technology company across customer understanding, knowledge retrieval, solution support, closed-loop task management, construction risk, and property services. This work has established a real estate case foundation ready to advance into a signed implementation this year. If delivery proceeds as planned, a showcase-ready interim case study is expected by the end of 2026.
We continuously productize standard capabilities. Client-specific needs are addressed through configuration, data governance, integration, and focused development where necessary, supporting sustainable delivery and ongoing annual service.
Define the core problem, workflows, roles, rules, data, and acceptance metrics.
Provide standard product capabilities for a single project, a project portfolio, or an enterprise group.
Configure, clean, migrate, train, pilot, and complete phased acceptance.
Connect existing client systems and address essential requirements that standard configuration cannot cover.
Provide operational assurance, upgrades, support, training, performance reviews, and continuous improvement.
Provide ongoing services based on model usage, knowledge bases, agent capabilities, and deployment architecture.
Real project delivery is our shared language. The team brings together operations management, AI engineering, embedded hardware, and capital strategy to support the full journey from business discovery and product development to field implementation.
Brings 11 years of industry experience and management experience at a company listed in three markets. A Project Management Professional (PMP) certified by the Project Management Institute, with experience teaching Kyocera's Amoeba Management and business philosophy and managing ERP deployments.
Trained in bioengineering, with research spanning AI genomics and protein mapping. Doctoral work under Academician Hanjie Ying established a strong foundation in interdisciplinary research and complex data modeling.
Trained in data science and big data technology, supporting enterprise data governance, metric design, AI data preparation, and continuous evaluation.
Holds a PhD in Mathematics from Southeast University and has long specialized in multi-agent interaction modeling and time-series analysis. The advisor has published more than 20 high-impact papers and holds over 10 patents, with core research applied in intelligent manufacturing, connected vehicles, and industrial big-data analytics.
Specialized in embedded systems development at the University of Science and Technology of China, providing expertise that connects AI applications with physical devices, spaces, and field data.
A serial entrepreneur whose ventures have received investment from Sequoia Capital and Tencent, advising the company on business models, capital planning, and industry partnerships.
Our core research covers scene understanding, out-of-distribution generalization, and 3D point-cloud representation, with applications in intelligent manufacturing, connected vehicles, and industrial big-data analytics. The publications below represent a selection of this work.
The proposed Nanjing base will support product development, knowledge and evaluation systems, standardized implementation, customer demonstrations, and ecosystem partnerships—measured by live pilots, effective AI task completion, and product reuse.
LINFOND aims to bring its proven AI products, industry knowledge, and real-world co-development methods to Nanjing. Working with the industrial park, we will create applications that customers can use, businesses can validate, and the industry can replicate.
Create visitable, interactive, and verifiable case studies for high-quality housing, municipal real estate, move-up homes, project delivery, and property services.
Connect developers, urban development organizations, design institutes, EPC firms, manufacturers, property operators, and software partners to co-create knowledge, agents, and joint solutions.
Build capabilities in product, applied AI, business consulting, data governance, implementation, delivery, and customer success.
Run executive AI alignment sessions, industry forums, product experiences, and customer discovery workshops to strengthen the park's profile in applied industry AI.
LINFOND looks forward to working with Nanjing's industrial parks to build a center for applied AI R&D, customer co-creation, and industry demonstration in real estate and complex services.