AgentBox · Enterprise edge AI

Deploy practical AI agents at the edge.

Geek Nexus brings hardware, cloud, models, and business workflows into one repeatable deployment environment for enterprise AI adoption.

Best fit Mid-sized enterprises with sensitive data and one repeatable workflow ready to improve.

Edge-first Hybrid cloud Enterprise ready
4integrated solution layers
01repeatable deployment kit

Built in Hong Kong
for enterprise deployment.

Why Geek Nexus

Enterprise cloud experience, applied to practical AI.

Founder-led by Huan (Cecelia) Shu, with nearly a decade across cloud, CDN, edge computing, AI solutions, and enterprise technology projects.

Meet the founder
EXPERIENCECloud & edge since 2017

Enterprise solution work across gaming, internet, retail, finance, and manufacturing.

TECHNICALAWS SAA · Tencent TCP · Alibaba ACP

Architecture fluency combined with commercial and delivery execution.

EDUCATIONHKUST MSc

Global operations background with executive study in AI and digital business.

01 / Platform

From AI ambition to an operating system for deployment.

AgentBox standardizes the infrastructure and integration work required to move AI agents from isolated demos into real business operations.

A1Orchestration
01
Edge site & private dataCompute, files, sensors, and enterprise tools stay within the agreed boundary.
02
AgentBox control layerModels, tools, retrieval, policy, and human checkpoints run in one governed runtime.
03
Cloud & business systemsConnect managed services, CRM, ERP, knowledge, and APIs when the workflow requires them.
Architecture controls
  • Encrypted connections
  • Private or hybrid execution
  • Observable runtime and policy

One control layer across edge and cloud.

Coordinate models, tools, data access, device health, and policy from a consistent runtime.

A2Privacy

Keep sensitive workflows closer to the data.

Support private and hybrid execution for latency, governance, and data residency needs.

A3Integration

Connect agents to the way your teams already work.

Package business systems, knowledge, approvals, and human checkpoints into deployable workflows.

02 / Client journey

From one workflow to a scalable deployment.

Each stage has a clear decision, deliverable, and success measure, so teams can validate value before expanding the deployment.

  1. 01
    Discover

    Confirm the workflow, users, data boundary, business owner, and measurable success criteria.

  2. 02
    Pilot

    Deploy one governed workflow with the required models, knowledge, tools, and human checkpoints.

  3. 03
    Prove

    Review adoption, quality, latency, cost, security, and operational readiness against the agreed measures.

  4. 04
    Scale

    Standardize the validated pattern across teams, locations, devices, or additional workflows.

03 / Scenarios

Designed for work that needs to get done.

Start with a focused business outcome, then expand the same deployment foundation across teams and locations.

KNOWLEDGE

Private enterprise knowledge agent

Secure retrieval, internal answers, document understanding, and governed access.

01
SERVICE

Customer and employee service agent

Connect conversational AI with business systems, approvals, and escalation paths.

02
OPERATIONS

Document and workflow automation

Turn repetitive professional-service processes into traceable agent workflows.

03

Start with one practical workflow

Build your first AgentBox pilot.

Email hello@geeknexus.ai 30-minute fit review · one workflow · no obligation