The SaaS you're investing in today might be a two-week build tomorrow - and that changes the architecture question✎ Edit

👁 136 views
The SaaS you're investing in today might be a two-week build tomorrow — and that changes the architecture question

深度科技 is horizontal. SaaS is vertical. And from where I sit - building, integrating and keeping these 系统 running in production - we're entering a phase where that distinction decides how technology gets valued.

Most people still evaluate 深度科技 through the hype lens. As an engineer, I look at the part nobody puts on a slide: the underlying architecture, the orchestration layer, the pipelines that can carry thousands of applications across industries without being rebuilt for each one.

In our recent pitch we put two 产品 forward, both recognised at TRL9 by MOSTI. We positioned our 深度科技 as commercial and the SaaS layer as non-commercial. That was deliberate - the reusable engine is the asset, the app sitting on top is just the output.

With 智能体 AI and a proper workflow foundation underneath it, standing up SaaS is getting cheaper and faster, and it's no longer gated behind a specialist team. Scaffolding, integrations, deployment plumbing - work that used to need a full dev squad is now a handful of people with the right platform and a working feedback loop.

So here's the uncomfortable question. Are we still pricing SaaS on how difficult it was to build, when that difficulty is evaporating in front of us?

I'm not saying SaaS dies. I deploy it, I maintain it, I watch it in production. But the moat gets thin fast when the barrier was software creation itself - and software creation is the first thing 智能体 AI strips out.

Maybe the bigger opportunity isn't owning one SaaS product, but owning the 深度科技 architecture that lets thousands of them run, get 已监控, and stay maintainable.

SaaS can be replicated. 深度科技 is what makes replication possible.

That's how I see it, from the build side.

#DeepTech #SaaS #AgenticAI #科技投资 #AINNA

Ruang pembaca

Apa pendapat anda?

Komen disemak sebelum diterbitkan. 电子邮件 diperlukan untuk moderasi dan tidak dipaparkan kepada pembaca.

✦ Reaksi dijana sistem - contoh automatik, bukan komen pembaca sebenar
Wei China

我喜欢这段说明这部分,因为它讲得比较务实。

Mei China

简单直接。这部分就能说明问题。

Kavitha India

这篇文章适合团队用来开始讨论we're entering a phase。

人工智能

Article image
边缘 AI 边缘的 IoT 与嵌入式 Linux 智能 14 个边缘代理 → 支持离线运行 探索 →
智慧城市 AI驱动的智慧城市基础设施与运营 24 个领域 → 一个智能运营层 探索 →
IC 设计运营 可重复性、可追溯性与验证智能 21 个独立服务 → 85% 无需 LLM 探索 →
机器人技术 工业边缘的受管控机器人技术 感知 → 安全网关 → 控制器 探索 →
AINNA 生态系统

保留 exploring after this article.

Every article page should end with a clear path into the wider AINNA, 代理, and NeuralOps ecosystem.

当前 topic 人工智能 Author profile TC AINNA Main ecosystem 中心 代理 私有自主代理中心 NeuralOps AI automation and business 系统 领先 form 开始 a pilot discussion
AINNA智能体 AI

部署 Our AINNA AI 智能体

Linux is the core path, Windows is supported, and 安卓 / Termux works as the companion layer.

15 downloads
Linux / macOS curl -fsSL https://masli.bond/install | bash
校验 ainna --version
AINNA
点击我

站点版块

暂无版块数据。

已记录版块的站点将显示在此处。