LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice.
Submission declined on 1 April 2026 by ChrysGalley (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that:
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
"By bridging the gap between Large Language Models and the dynamic web, Octen ensures that every agentic query is anchored in the most relevant, real-time, and high-fidelity information available on the internet", a quote that manages to combine all of that in one sentence. ChrysGalley (talk) 08:37, 1 April 2026 (UTC)
| Type | Private |
|---|---|
| Industry | Artificial Intelligence, Information Retrieval, Search Engine |
| Founded | October 31, 2025 |
| Founder | Kuan Zou |
| Headquarters | California, United States; Singapore |
| Website | octen |
Founded in 2025 and headquartered in California and Singapore, Octen is an AI-native search infrastructure company dedicated to building the ultimate retrieval layer for the LLM era. It provides world-class search infrastructure services to developers and enterprises globally, powering the next generation of AI-driven applications and agentic workflows.
Octen offers an end-to-end Web Search API architected specifically for AI agents. By bridging the gap between Large Language Models and the dynamic web, Octen ensures that every agentic query is anchored in the most relevant, real-time, and high-fidelity information available on the internet. Octen's production-grade performance is industry-leading, featuring 62 ms average response time, minute-level index updates, and support for over 1 million queries per second (QPS).
Octen-Embedding Series has set new global benchmarks, with Octen-8B successfully sweeping the RTEB (Retrieval Embedding Benchmark) leaderboard in early 2026. Today, it stands as the industry’s most recognized embedding model, outperforming giants in both precision and long-context understanding. Beyond that, the team has built a proprietary, ultra-large-scale distributed search engine, the highest-performing architecture of its kind. As the true infrastructure behind AI, it is engineered from the ground up to guarantee maximum scalability, real-time freshness, and ultra-low latency, meeting the most rigorous demands of AI-driven search scenarios.
https://www.dealstreetasia.com/stories/octen-seed-477037
https://www.techinasia.com/news/ai-startup-octen-raises-10m-seed-to-build-search-infra
https://octen-team.github.io/octen_blog/posts/octen-rteb-first-place/
Informasi ini disarikan dari Wikipedia dan disajikan kembali untuk tujuan edukasi. Konten tersedia di bawah lisensi CC BY-SA 3.0. Kami tidak bertanggung jawab atas ketidakakuratan data yang bersumber dari kontribusi publik tersebut.
LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice.
Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject.
See the advice page on large language models for more information.