이 페이지는 아직 선택하신 언어로 제공되지 않습니다. 검수를 거친 번역본을 준비하는 동안 영어 버전을 표시하고 있습니다.
응용 연구
혁신과 연구
우리는 신기술을 실제로 적용하기 위해 연구합니다. 우리의 연구는 실용적이고 기간을 정해 진행되며, 무엇이 프로덕션에 준비되었고 무엇이 그렇지 않은지 솔직하게 말합니다.
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.
- 01
Frame the question
State what we want to learn, why it matters and what evidence would change a decision.
- 02
Prototype quickly
Build the smallest working system that can answer the question, using realistic data wherever possible.
- 03
Evaluate rigorously
Measure against agreed criteria (quality, latency, cost, security and operability) rather than impressions.
- 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.
- 01
Agentic systems
Multi-agent orchestration, tool use, evaluation and governance for agents that act on enterprise systems.
- 02
Retrieval and knowledge
Retrieval-augmented generation, knowledge graphs and grounding techniques that keep AI tied to approved facts.
- 03
Edge and connected intelligence
Running inference closer to devices and machines, and combining telemetry with operational context.
- 04
Digital assets and cryptography
Threshold signatures, account abstraction and interoperability across chains.
- 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.