Hong Kong · Macao · Worldwide

Intelligence,forward-deployed.

Infinite Intelligence builds the full agent stack for teams that already have systems: runtime, knowledge, data, models, integration and control. Contracted in Hong Kong, delivered for Hong Kong, Macao and overseas. 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.

For the field

Not another demo. One real workflow, made operational.

We work with Hong Kong, Macao and international teams — and with organisations that need cross-border governance. We are a fit when you already have systems and data, have tried AI, and still cannot move a pilot into production. Start with one measurable, governed line of business.

The pilot stops at the demo

The model answers, but cannot safely read and write tickets, contracts, inventory or approvals.

Knowledge is everywhere

Policies, processes and exceptions live in documents and chats without permission-aware citations.

The workflow crosses systems

The bottleneck is not another chat window. It is completing one real flow across the tools you already run.

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.→

Agent runtime preview

03 — Work

Seven anonymised production deliveries.

Seven independent clients, already in production. Names and contracts stay off the page; industry is stated only as “a mainland [sector] company”. What remains is the problem, the scope, the architecture and the results we can stand behind.

Anonymised delivery01

HSK 3 learning agent, from zero

A learning agent that moves an international learner through the HSK 3 frame. We delivered the agent-facing API, learning runtime, admin console and the operating substrate behind the experience.

Anonymised delivery02

Agent for P0 scheduling and data sync

An operations agent on top of a 180 PiB-class lake and 60,000+ daily job instances: inspect failures, connect logs and dependencies, recommend recovery and keep human approval on writes.

Anonymised delivery03

DataClaw BI analysis agent

A self-built BI and natural-language analytics layer serving 3,000+ dashboards and 20,000+ charts, with governed metrics, multi-engine SQL and DataClaw agent workflows.

Anonymised delivery04

Data-platform Agent runtime and MCP tool plane

A unified Agent runtime and MCP tool plane for scheduling, sync, logs, lineage and SQL operations, used daily by around 60 engineers.

Anonymised delivery05

Governed knowledge gate for analysis Agents

A delivered entrance for metrics, metadata and business facts: semantic definitions, source metadata and SQL governance give analysis Agents a grounded vocabulary before they answer.

Anonymised delivery06

Alert-to-remediation operations Agent

A delivered workflow that turns an alert into evidence, diagnosis, a guarded action and a human-readable trace across jobs, logs, SQL and lineage.

Anonymised delivery07

Agent control plane with guarded actions

A delivered governance layer for identity, tool policy, approval, session isolation and traces before an Agent is allowed to write back to production.

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.

Most of the production work to date was delivered on the mainland. The Hong Kong office exists to take the same field method to Hong Kong, Macao and international teams. Contracts settle in HKD. Data, access and cadence follow Hong Kong law and the client’s home requirements.

Anonymised deliveries in production

HKD

Contract currency

24h

Typical weekday reply

Contracting and operations

Start with one real workflow.

Tell us the system, the data or the automation that is stuck. Engagements are fixed-scope or monthly advisory, in Hong Kong dollars. We will answer with a scope that can ship.