关于凯洛

About Kailoo

一支墨尔本的 AI 工程团队。下面是我们的发展历程、AI 走到今天的几个节点,以及到目前为止做成的事。

An AI engineering team in Melbourne. Below: our history, the milestones that brought AI to where it is, and what we have delivered so far.

业务一览

What we do

六条业务线,各有专业名称,每条都对应可验收的交付物。

Six lines of work, each with a defined deliverable that can be accepted.

  • 数字产品工程

    Digital product engineering

    网站前端设计与全栈开发

    Front-end design and full-stack development

    了解方案 See the approach
  • 智能体与知识系统

    Agents and knowledge systems

    RAG 智能体:客服、售后与内部知识问答

    RAG agents: customer service, after-sales and internal knowledge Q&A

    了解方案 See the approach
  • 增长与电商运营

    Growth and e-commerce operations

    线上战略规划与执行:品牌、主图、Listing、转化与选品

    Online strategy, planned and executed: brand, hero images, listings, conversion and product selection

    了解方案 See the approach
  • 内容与 AIGC 生产

    Content and AIGC production

    AI 自媒体运营与定制化 AIGC 内容

    AI-run social accounts and custom AIGC content

    了解方案 See the approach
  • AI 智能运维

    AI-driven operations

    邮件与邮箱、社媒账号、搜索与 AI 可见性的整理与运营

    Email and mailboxes, social accounts, search and AI visibility, organised and run

    了解方案 See the approach
  • 语音与数字人

    Voice and digital humans

    AI 语音电话与 AI 数字人直播

    AI voice calls and AI digital-human livestreaming

    了解方案 See the approach

发展历程

Our history

  1. 2026.07

    gig-radar 开始无人值守运行:多源采集、模型评分、分渠道起草、回复扫描。

    gig-radar starts running unattended: multi-source sourcing, model scoring, drafting per channel, reply scanning.

  2. 2026.08

    kailoo.ai 上线。

    kailoo.ai goes live.

  3. 2026.09

    福木源紫檀博物馆官网上线;AI 科普视频生产线跑通整集;grounded-chat 通过 223 项自动化测试;本站改版并接入站内问答。

    The Fumuyuan museum site goes live; the AI explainer video line runs a full episode; grounded-chat passes 223 automated tests; this site is redesigned with the on-site assistant.

AI 发展史记

A short history of AI

我们所处的位置,放在七十年的时间线上看。

Where we stand, on a seventy-year timeline.

  1. 1956

    达特茅斯会议提出「人工智能」这一名称。

    The Dartmouth workshop gives the field its name: artificial intelligence.

  2. 2012

    深度学习在图像识别上取得突破,神经网络重新成为主流。

    Deep learning breaks through in image recognition; neural networks return to the centre.

  3. 2017

    Transformer 架构提出,成为此后所有大语言模型的基础。

    The Transformer architecture is proposed; every large language model since builds on it.

  4. 2022

    ChatGPT 发布,对话式 AI 进入公众视野。

    ChatGPT is released; conversational AI reaches the public.

  5. 2023

    多模态模型出现,AI 开始同时处理文字、图像与语音。

    Multimodal models arrive; AI handles text, images and speech together.

  6. 2024

    智能体与视频生成走向可用,AI 从「回答」走向「做事」。

    Agents and video generation become usable; AI moves from answering to doing.

  7. 2026

    推理模型与智能体进入企业的日常工作流程。我们在这一年做了上面这些事。

    Reasoning models and agents enter everyday business workflows. This is the year we did the things above.

到目前为止

So far

  • 4个系统上线运行:博物馆官网与三套自研systems live: the museum site and three in-house
  • 6条业务线,一支团队统一承接lines of work under one team
  • 284项自动化测试通过(223 + 61)automated tests passing (223 + 61)
  • 809条线索经模型评分leads scored by the model
  • 21镜,一集科普视频整链跑通shots in one explainer episode, full chain
  • 16个路由,博物馆官网上线routes on the museum site, live

告诉我们哪一个环节最耗时

Tell us which step costs you the most

联系我们Contact us