4 business lines

Four product lines.
One delivery team.

Four product lines, one team from diagnosis to operations. Upgrade the whole stack, or start where the pain is greatest.

LingCMS AI workspace: design instructions on the left, live site preview on the right

AI websites

Generate a complete site from a sentence, refine it visually, and ship redesigns through conversation. From corporate site to campaign page in minutes.

One-sentence site generation

Give a company name and a few style cues; AI builds and publishes the whole site.

Visual editing

Compose blocks visually. Edit content without touching code.

Conversational redesign

Describe the change in the AI workspace. It goes live in seconds.

Multi-site & SEO

Run multiple sites from one console, with content, membership, and SEO built in.

Explore LingCMS →

Smart manufacturing

ERP, MES, and OA in one system, from order intake to payment. AI supports planning, alerts, and business analysis.

ERP · Enterprise resource planning

Sales orders, procurement, inventory, and finance — entered once, synced plant-wide.

MES · Manufacturing execution

Work orders, shop-floor reporting, quality inspection, and equipment — with live progress.

OA · Collaboration

Approvals, attendance, tasks, and documents in one system.

AI built in

Production scheduling, anomaly alerts, business insight, and end-to-end traceability.

Try LingMOE → Explore LingMOE →
LingMOE operations overview: production plans, MES work orders, inventory, and finance in sync

LingWork agent workspace: task list, tool calls, and deliverables

Digital employees

Assign a task in one sentence. The agent plans, uses tools, runs commands, and delivers the work — not a chatbot, a digital employee that finishes the job.

Office work

Proposals, reports, and deck-ready files from a sentence. Use the output as delivered.

Data work

Excel cleanup, reconciliation, analysis, and charts — handed to the agent.

Software work

Write, debug, run tests, and review a clear diff with every change.

Security & audit

Local sandbox execution, a full audit trail, and data that stays inside your network.

Explore LingWork →

AI foundation

Our own agent engine with task orchestration, multi-model failover, and a tool ecosystem built in. Deploy it privately; keep the engine, skills, and data in your environment.

In-house engine

PipelineLoop architecture, implemented in Go, auditable end to end.

Private deployment

Sensitive data stays on-premises, meeting security and compliance requirements.

Multi-model failover

Flexible model connections with automatic failover, so work keeps running.

Tool ecosystem

MCP tools and skills that connect to your existing systems.

Explore LingHarness →
Corporate network · private deployment
Business systemsInternal knowledgeOffice systems
LingHarness runtimePipelineLoop · tools · models · audit
Private modelsMCP toolsBusiness skills

Data and execution stay inside your environment.


From diagnosis to ongoing operations

Start with one high-value scenario, then roll out in stages. Every step ends in something you can check.

01

Scenario diagnosis

Interviews and a systems review identify the scenario worth doing first, with clear goals and boundaries.

02

Solution & roadmap

Combine the four product lines for the scenario, and define scope, integrations, deployment model, and schedule.

03

Deploy & integrate

Keep existing systems where possible. Connect through APIs, databases, or SSO, and go live in stages.

04

Training & acceptance

Train key users, run real work through the system, and hand over against agreed acceptance criteria with documentation.

05

Ongoing operations

Review the data, iterate on features, and add scenarios as the business grows — without rebuilding from scratch.

Beyond products, the same team delivers the supporting work.

Websites, growth marketing, brand identity, and custom software are still available on their own. Combine them with the product lines when needed — no new vendor.

Put AI to work in your business

Start with a free scenario diagnosis, then decide which product line to use first.