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iQsolutions

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應用研究

創新與研究

我們研究新興科技,是為了實際應用。我們的研究務實、有明確時限,並坦誠說明哪些已可投入正式環境、哪些尚未成熟。

01

Applied, not academic

Our research agenda follows the problems our work encounters: how to make AI agents dependable, how to reason over connected-device data, how to make digital-asset security usable, and how to modernize systems without stopping the business. We investigate to answer questions that affect real architecture decisions.

02

How we explore

Exploration follows a light but consistent method, so that results are comparable and conclusions are honest.

  1. 01

    Frame the question

    State what we want to learn, why it matters and what evidence would change a decision.

  2. 02

    Prototype quickly

    Build the smallest working system that can answer the question, using realistic data wherever possible.

  3. 03

    Evaluate rigorously

    Measure against agreed criteria (quality, latency, cost, security and operability) rather than impressions.

  4. 04

    Recommend plainly

    Conclude with a clear recommendation: adopt, adapt, keep watching or set aside.

03

Areas we are watching

We follow a set of technologies closely and evaluate them as they mature.

  1. 01

    Agentic systems

    Multi-agent orchestration, tool use, evaluation and governance for agents that act on enterprise systems.

  2. 02

    Retrieval and knowledge

    Retrieval-augmented generation, knowledge graphs and grounding techniques that keep AI tied to approved facts.

  3. 03

    Edge and connected intelligence

    Running inference closer to devices and machines, and combining telemetry with operational context.

  4. 04

    Digital assets and cryptography

    Threshold signatures, account abstraction and interoperability across chains.

  5. 05

    Digital twins and simulation

    Models of physical operations used to test changes before they are applied in the real world.

04

Honest about stage

Not every promising technology is ready for production, and we say so. When we present research, we label it clearly as a concept, prototype, pilot or production system, and we never present experiments as delivered results.

Clients get a candid view of maturity, risks and the conditions under which an approach is worth adopting.

告訴我們您正在打造什麼。

分享您面臨的挑戰、背景與期望成果。將由工程師——而非照本宣科的業務人員——審閱,並回覆經深思熟慮的下一步建議。