Enterprise Context
Understand your business continuously across software boundaries, without changing how your teams work.

AI that runs your business. Turn enterprise know-how into lasting efficiency.
No workflow changes. No per-app integrations. Understand context across people and software on equal terms, and capture enterprise know-how.
Share context, skills and private apps within enterprise permissions. Turn personal expertise into reusable organizational capability.
Private deployment with enterprise permission governance. Permission isolation and runtime controls keep execution fast and under your control.
Open source. One binary. One-click private deployment. Elastic scaling, instant cold starts and megabytes of memory per app.
Infrastructure Performance
Context sensing latency
Cross-software · Real-time contextAgent throughput gain
On-device execution · High-performance runtimeRuntime cold start
Isolates · Single-binary deploymentInfrastructure cost reduction
Private deployment · Elastic schedulingAI transformation, workflow automation and enterprise apps. Built on one foundation.

Connect multi-source research, analysis and reporting.

Connect business systems and desktop tools. Orchestrate work across apps.

Turn business know-how into apps built for your team.
Bringing together frontier vision research, core systems expertise at global tech companies, and AI commercialization.

Co-founder · Product & Business
The youngest engineer on Apple’s core in-region team, contributing across the iPhone development cycle. Founder of a healthcare SaaS company and an early builder in multimodal AI. Led healthcare AI and a Silicon Valley education AI product that reached approximately $5M ARR in seven months with no paid acquisition.
Previously at

Co-founder · Architecture & Engineering
Tencent’s youngest T9 engineer and a founding architect of Tencent Cloud WeDa, building the foundation for over one million business applications. Former core-business architect at Alibaba, supporting transaction volumes in the hundreds of billions. Engineering leader at North American SaaS unicorn MoeGo, helping the team reach No. 1 market share.
Previously at

Co-founder · AI & Vision Algorithms
Assistant Professor at Swansea University and KAUST PhD, specializing in computational imaging and visual intelligence. Published in ACM SIGGRAPH, ECCV, and Optica. Combines hardware–software co-design with UK-funded research and technology consulting for companies across China, the UK, Germany, and Saudi Arabia.
Research Contributions
General-purpose models provide intelligence. Lynx brings it into your business operations. Context Infra understands work across software, turning enterprise expertise into reusable Skills, business applications and Agent execution capabilities.
Context awareness does not require a custom connector for every application. Within authorized boundaries, Lynx understands work context across software, adapting AI to existing ways of working and reducing system changes and rollout effort.
We turn business judgment, methods and procedures into enterprise-specific Skills that power Agents and private applications. Teams can reuse the methods of their best people, reducing dependence on individual expertise in critical roles.
Your company decides which information Agents can access, which tools they can use and which actions they can take. Permission isolation, runtime constraints and approvals for critical actions define the boundaries between automation and human decisions.
Lynx supports deployment on local devices and internal networks, keeping the workspace, Agents and application runtime under your control. Model access follows your data boundaries; workflows that must keep all data inside can use internally hosted models and local execution.
Yes. Context Infra and the enterprise Workspace bring authorized business context back to your private servers to form proprietary training data. Starting from an open-source foundation model, we use governed business data for continuous automated training, evaluation and iteration to build a privately deployed expert model that understands your operations. Your data, expertise and model capabilities become assets under your control.
For a defined business use case, we deliver working Agents, business applications or automated workflows, together with reusable enterprise Skills. We measure value through turnaround time, human effort, output quality and operating cost before expanding to more teams.