LYN CLOUD · APPLIED AI & SOFTWARE ENGINEERING
We bring model adaptation, visual and 3D understanding, enterprise knowledge and AI agents into automotive, industrial and business applications. From custom development to system integration, we help teams put AI to work.
INDUSTRIES
Turn the needs of products, engineering teams and business operations into focused applications and software capabilities.
AUTOMOTIVE AI
01Intelligent in-vehicle experiences
Connect voice interaction, AI agents and automotive applications. Building on automotive software development and integration experience, we support application development, system adaptation and quality engineering.
Support automotive software teams from interaction design through system integration.
INDUSTRIAL AI
02AI for engineering workflows
Turn images, drawings and geometric parameters into engineering data. Combine visual recognition, 3D reconstruction and engineering automation to connect design, analysis and review with less repetitive data handling.
Make geometry visible and parameters accessible for engineering review and downstream applications.
ENTERPRISE INTELLIGENCE
03Knowledge and agents at work
Connect scattered documents, business data and tools through enterprise knowledge bases and role-based assistants. Support sourced answers, document processing and task workflows within familiar systems.
Connect information retrieval with everyday tasks so teams can put their knowledge to work.
Upcoming
04A future direction
Healthcare is our next area of exploration. We look forward to working with specialist organizations to understand their data, knowledge and workflows, and identify suitable AI applications for evaluation.
Explore professional needs and define evaluation approaches together with domain partners.
INDUSTRIAL DEMONSTRATION
This engineering workflow illustration connects drawing analysis with nesting support. Part outlines, dimensions and connections become structured geometry for visualization, layout analysis and engineering review.
Organize outlines, dimensions and connections as geometric parameters for downstream workflows.
Represent parts with parametric geometry, drawing on 3D reconstruction and dimension-chain review to support engineering understanding.
Relate part geometry to sheet layouts, making arrangement options visible for further manufacturing discussions.
CORE TECHNOLOGIES
We combine technologies according to your data, task requirements and operating environment, bringing model capabilities into products and workflows.
Prepare domain samples and evaluation datasets. Select methods such as supervised fine-tuning (SFT) or LoRA according to the task, compare results against the baseline, and adapt inference and deployment.
Use curated business samples to improve a model for technical document extraction, domain-specific questions or structured output.
Combine visual recognition, structured extraction and geometric modeling to identify, reconstruct and display engineering objects, with support for human review and downstream systems.
Build a 3D tube model from structured geometric parameters, bringing its spatial shape, forming sequence and dimensions into one interface.
Build document processing, indexing, retrieval, question answering and source citations, with access controls, version management and evaluation to support ongoing knowledge updates.
An employee asks about a product, policy or technical standard, then opens the source to check the answer’s context and version.
Build text or voice interfaces, task workflows and tool integrations, with permissions, human confirmation and error handling for information retrieval, content preparation and task execution.
A support specialist gathers product information and relevant records with one request, then reviews a suggested reply before using it.
Connect models, business APIs and enterprise accounts. Adapt applications to cloud or local environments, with monitoring and updates that track quality, latency and cost.
Add an AI interface to an existing business portal, retaining enterprise accounts and access permissions within the current workflow.
Provide unit, API and regression testing, code review and defect traceability. Build task evaluation datasets for AI applications to examine output quality, failure cases and changes between versions.
Strengthen critical-path tests for a core module. When a model or knowledge base changes, compare results on a consistent set of samples and identify changes that need review.
FROM DATA TO APPLICATION
Understand information, samples and tasks
Select retrieval, fine-tuning or combined methods
Connect products, tools and workflows
Assess results and improve each version
Choose the method for the task, evaluate it with real business samples, then develop and refine the application.
HOW WE WORK TOGETHER
From technical planning and custom development to deployment and iteration, we can lead a defined project or work alongside your engineering team.
Define the opportunity
Assess business use cases, data and existing systems. Use representative samples to validate technical choices and define the intended outcomes.
Build for the task
Adapt models and develop applications around industry tasks, connecting business APIs and workflows to bring the solution into your product.
Support continued progress
Adapt to the operating environment, establish monitoring and testing, and work with your team on maintenance and further improvements.
DELIVERY PROCESS
Understand the users, existing workflow and key problem. Agree on the initial scope and intended outcomes.
Use representative data to assess models and technical options, including task performance, cost and operating requirements.
Adapt models, develop the application and connect systems. Improve the experience through testing and user trials.
Track feedback and quality, maintain data, models and software versions, and expand to further use cases.
ABOUT LYN CLOUD
LYN Cloud provides applied AI and software engineering services. We combine model adaptation, visual and 3D understanding, knowledge retrieval and intelligent assistants to develop applications with our clients, spanning validation, custom development, integration and quality engineering.
Understand the product and workflow before choosing data, models and technical approaches.
Consider user experience, system interfaces and operating environments so new capabilities fit existing ways of working.
Use testing, task evaluation and user feedback to guide further development.
LET’S TALK
Planning an automotive application, industrial vision or 3D project, model adaptation, knowledge base or AI agent? Talk to us about your business goals, data and delivery requirements.
