Co-creation
Identify the business scenarios worth automating first
Work with business owners to clarify workflows, goals, and ROI, then shape a deployable digital employee plan.- Scenario diagnosis
- Solution design
- Launch plan
StarAether · AI employee deployment
Bring intelligent systems into real operations
We connect AI agents to enterprise workflows through forward deployment and a digital employee platform: from diagnosis and permission design to production launch, with execution, auditability, and handoff built in.
Workflow diagnosis · Permission design · Production launch · Continuous optimization
Product proof
Validate capability boundaries through products
PageFlux and Arxtect validate product paths across personal growth, professional creation, and collaborative workflows.
View details →Forward deployment
Enter the field and map high-value workflows
FDE puts business goals, system permissions, human confirmation, and launch responsibility onto the same deployment map.
View details →Platform base
Make digital employees authorized and auditable
Workflow orchestration, browser operation, sandbox permissions, and logs support production operation together.
View details →Workflow diagnosis
Select the first launchable workflow
Start from process inventory and decide what should be automated first and how launch results should be measured.
View details →Business transformation
AI value comes from daily operation, not demos
Enterprises do not need more isolated tools. They need execution capability that works with existing systems, team roles, and approval rules.
1Generate
从生成到执行
不只是生成文案、图片和建议，而是进入真实系统完成任务。
2Operate
从工具到员工
系统具备角色、权限、流程、日志和人工确认节点。
3Compound
从项目到平台
每次企业部署都会沉淀为可复用的工作流、组件和行业经验。
Enterprise AI solution
Turn AI capability into business growth
Around each customer's core operating scenarios, we provide integrated service from diagnosis and solution design to digital employee launch and operation.
Solution framework
Start from business scenarios and build digital employee capabilities that keep operating.
We combine AI capability, workflows, and enterprise systems to improve operating efficiency, response speed, and data accumulation.Platform
Connect digital employees to daily operations
Use workflow orchestration, permission management, and operating records to fit existing systems and teams.- Workflow orchestration
- Permission management
- Ops dashboard
Execution
Improve efficiency and response speed in repetitive workflows
Serve recruiting, marketing, operations, and ecommerce scenarios through cross-system processing and feedback.- System operation
- Data processing
- Result feedback
Customer value
- Find high-value scenarios faster
- Reduce repetitive operating cost
- Improve cross-system collaboration
- Build reusable digital assets
PageFlux
Connect personal growth with enterprise recruiting
PageFlux connects resumes, capability profiles, growth paths, job matching, and HR communication into one continuous workflow for individuals and enterprise talent teams.
- 1
Resume upload
- 2
Skill analysis
- 3
Growth path
- 4
Job matching
- 5
Auto outreach
- 6
HR communication
- 7
Feedback loop
Editor
local compile\documentclass{article}
\usepackage{ctex,amsmath}
\begin{document}
Browser-native LaTeX collaboration
E = mc^2
\end{document}
Compiler
2x faster[wasm] loading TeX kernel
[local] resolving packages
[sync] applying collaborator update
[pdf] pages: 18 · warnings: 0
Source
main.tex
Engine
XeTeX · Wasm
Sync
Yjs session
Output
paper.pdf
Arxtect
Move the LaTeX compiler into the browser
Arxtect is an Overleaf-class LaTeX product, but its core is not remote compilation queues. It uses WebAssembly to compile LaTeX in the browser, reducing network impact and supporting collaboration through Yjs.
Wasm compile
Run TeX in the browser
Collaboration
Yjs real-time sync
Writing assist
Advice for writing and typesetting
Arxtect is different from enterprise deployment work: it is first a professional creation and local-compute infrastructure product, with AI assistance as an experience layer.
- 01
Workflow diagnosis
Stage 01Enter the business site and identify real workflows with high value.
- 02
Process decomposition
Stage 02Break complex workflows into stable task units a system can execute.
- 03
Permission design
Stage 03Define goals, tools, permissions, and confirmation boundaries for each task.
- 04
Prototype deployment
Stage 04Run a demonstrable business prototype in a controlled environment.
- 05
Production launch
Stage 05Connect digital employees to real business systems and start operation.
- 06
Continuous optimization
Stage 06Iterate strategies and workflows based on logs and outcome metrics.
- 07
Platform reuse
Stage 07Feed reusable capabilities back into the digital employee platform.
Enterprise services
Deploy intelligent systems to the business front line
Forward deployed engineers enter the enterprise site, identify high-value workflows, bring prototypes into production, and feed each deployment back into the platform.
Field
Work inside operations
Production
Connect real systems
Reuse
Feed back to platform
Platform capability
Authorize, execute, and govern intelligent systems like employees
The platform supports workflow orchestration, browser operation, desktop operation, vision, sandbox permissions, and audit logs so companies can use digital employees safely.
Layer 01 · Business agents
业务场景
招聘协同投放增长独立站运营电商运营POD 生产流程自动化
Layer 02 · Execution & orchestration
执行与编排
工作流编排任务调度多系统协作工具调用人工确认
Layer 03 · Infrastructure
基础设施
浏览器操作电脑操作视觉识别权限沙箱日志审计企业知识库数据连接器
Industry solutions
One deployment platform connected to real business systems
Solutions are not a card list. They are different integration patterns of the same digital employee platform inside real workflows.
Cases
Digital employees entering real workflows
Cases are described according to public status. Without authorization, we use anonymous descriptions and avoid real logos, screenshots, or unverified data.
Apparel ecommerce operations automation
Original problem
The team switches between platform admin panels, folders, Excel, and shipping labels every day to handle compliance review, print review, title generation, listing, label classification, and operating reports.
AI intervention
Operators send instructions in Lark; the digital employee downloads violation records, analyzes infringement and compliance risk, generates English titles, classifies PDF labels by logistics template, and reads daily reports for operating conclusions.
Outcome
Violation libraries and review rules accumulate through use. Sample reports show ROI around 3.53 and margin around 16.4%, with high-risk actions still requiring human confirmation.
Workflow diagnosis
Co-build enterprise digital employee systems
For qualified companies, annual compute commitments can reduce upfront development cost and accelerate AI employee deployment into real workflows.