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Enterprise AI
Infrastructure

AI that runs your business. Turn enterprise know-how into lasting efficiency.

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Enterprise Intelligence Pipeline

Turn enterprise expertise
into a lasting advantage.

Connect business context, intelligent execution, and institutional knowledge to build your enterprise’s own expert AI.

Enterprise Context

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

Business Orchestration

Turn business logic into skills and private applications. Make proven workflows reusable across the enterprise.

Proprietary Knowledge

Extract decision logic from execution and expert feedback. Turn critical know-how into knowledge your enterprise owns.

Enterprise Expert AI

Combine business context with proprietary knowledge to build industry-specific expert AI for your core operations.

Core Infrastructure

The foundation of enterprise intelligence

  • Context Infra

    Software-neutral. Effortless understanding.

    No workflow changes. No per-app integrations. Understand context across people and software on equal terms, and capture enterprise know-how.

  • Enterprise Workspace

    A shared intelligent workspace

    Share context, skills and private apps within enterprise permissions. Turn personal expertise into reusable organizational capability.

  • Agent Infra

    High-performance, on-device agents

    Private deployment with enterprise permission governance. Permission isolation and runtime controls keep execution fast and under your control.

  • Deploy Infra

    Your private serverless foundation

    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 context

Agent throughput gain

On-device execution · High-performance runtime

Runtime cold start

Isolates · Single-binary deployment

Infrastructure cost reduction

Private deployment · Elastic scheduling
Core Team

Builders of systems at scale

Bringing together frontier vision research, core systems expertise at global tech companies, and AI commercialization.

Lucas

Lucas

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

AppleABBLG
Elliot

Elliot

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

TencentAlibaba Group
Dr. Qiu

Dr. Qiu

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

SIGGRAPHECCVOptica
Frequently Asked Questions

FAQ

We already use AI tools. Why do we need Lynx?

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.

Do we need to rebuild our systems or change how people work?

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.

How can individual expertise become a company-wide capability?

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.

Who controls what AI can do?

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.

Can Lynx run on our internal network?

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.

Can we build our own privately deployed expert model?

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.

What do we actually receive?

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.