Hong Kong · Agent Systems

Intelligence,forward-deployed.

We build the full agent stack: runtime, knowledge, data, models, integration and control. Not a demo in a chat window — production capability that can call real systems, be audited, and be revoked.

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∞Agent Runtime∞Knowledge systems∞Data platforms∞Models & algorithms∞Systems integration∞Security & control∞Forward deployed FDE∞Agent Runtime∞Knowledge systems∞Data platforms∞Models & algorithms∞Systems integration∞Security & control∞Forward deployed FDE

01 — Stance

Embrace AI by putting it inside permissions, data and flow.

An agent that cannot call real tools, knowledge that cannot be cited, a model that cannot be evaluated or revoked — that is theatre. We build agents as production systems: runtime, knowledge, data, interfaces, control. Then we embed the stack in the field.

A stack, not a single model

The model is one layer. Without knowledge, data, integration and a control plane, an agent does not reach production.

Security in the architecture

Permissions, audit, classification and action policy exist on day one — not as a patch before launch.

People in the field

FDE engineers share your repository, your incidents, your outcomes. Capability remains. People can leave.

02 — Stack

Seven layers. One bar for production.

From decision and tools, through knowledge, data, models, interfaces and control — composable layers, all built to ship, to be audited, and to hold a boundary.

01AI agentsAn enterprise agent runtime that perceives, reasons, calls tools, and works with people.→02Knowledge systemsRAG, ontology, enterprise search and citable ground — a world model an agent can stand on.→03Data platformsLakehouse, pipelines, metrics and features — data as an asset the business and agents can share.→04Models & algorithmsFoundation-model selection, tuning and eval — plus retrieval, prediction and optimisation under constraint.→05Systems integrationWire agents into ERP, CRM, OA, payments and the systems you already run — the tool layer decides whether an agent can finish the job.→06Security & controlApplication security, data classification, a control plane for models and agents — intelligence that can be authorised, revoked and held to account.→07Forward deployedEngineers on the front line of the business, until the agent stack runs — and the operating rhythm remains.→

03 — Work

One live delivery. The scenes we keep walking into.

A product line already in motion, and three structural scenes. The scenes are not invented clients. They are the shapes we meet when an agent stack has to land in a business.

Delivery01

Chinese from zero, inside HSK 3

An AI-interactive path that takes learners from zero through the HSK 3 frame. We delivered the API, the admin console, and the technical substrate of the learning system.

Scene02

Enterprise knowledge gate

Policy, contracts and process live in drives and chat. The scene: let authorised people — and authorised agents — ask the same citable facts.

Scene03

Operations workflow agent

Tickets, reconciliation, scheduling, escalation — the scene is taking one high-frequency operations flow and turning it into observable agent orchestration.

Scene04

Agent control plane

The pilot can already call internal systems. The scene: allow, deny, audit and revoke — before you widen permission.

Read the work

04 — Method

Forward deployed engineering.

Unclear requirements, legacy systems, messy integrations — these are not reasons to fail. They are why FDE exists. We send engineering to the front line until the system actually runs.

See how we arrive

05 — Hong Kong

Contracted and operated from Hong Kong.

We work from Wan Chai with Hong Kong and cross-border teams. Contracts settle in HKD. Data, access and cadence follow Hong Kong and the client’s home requirements.

Agent

Runtime

Knowledge

Systems of record

Control

Governance plane

FDE

Field delivery

Start with one real workflow.

Tell us the system, the data or the automation that is stuck. We will answer with a scope that can ship.