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Sidenet AI

Infrastructure to make your product AI native

SaaS
Artificial Intelligence
Visit WebsiteSee on Product Hunt

Hunted byAlexia DananAlexia Danan

Build agents, workflows and networks with auth, memory and orchestration built in. Access any LLM worldwide (605 models, 60+ providers). Connect your APIs or MCP servers in a few clicks, or use 1,000+ integrations. Drill into traces, test against datasets before you ship, get outputs scored by LLM judges. Track cost per model, agent, task or customer, and monetise. Embed an AI workspace inside your app with a few lines of code where users can ask, schedule, automate anything.

Top comment

Hello hello! I'm Alexia, founder of Sidenet.

With us,any SaaS product can turn itself AI-native: embed an AI workspace inside your product and let your users ask anything, act on it, schedule it, and automate the work in between, without ever leaving your app. No infrastructure to build. It's all in Studio, and as of today it's self-serve.

We originally built it for hospitality platforms, to embed assistants that can refill a cancelled room from the waitlist, reprice the weekend when a competitor undercuts you, or reorder stock before service. And now opening up the platform to all you folks!

Everything you need to build, run and improve your AI assistants, in one place:

  • agents, workflows and networks with auth, memory and orchestration built in;

  • any LLM worldwide (600+ models, 60+ providers, EU servers included);

  • your APIs or MCP servers in a few clicks, or 1,000+ integrations;

  • traces for every request,

  • evals against a golden set before you ship, and

  • cost per model, agent, task or customer so you can monetise it.

Go give it a try - you get 5$ free credits on signup!

Comment highlights

This is such an interesting use case for AI. Love the idea of having specialized AI agents built directly into hospitality tools.

Really interesting approach to bringing AI directly into hospitality software. Excited to see where this goes!

About Sidenet AI on Product Hunt

“Infrastructure to make your product AI native”

Sidenet AI was submitted on Product Hunt and earned 12 upvotes and 4 comments, placing #32 on the daily leaderboard. Build agents, workflows and networks with auth, memory and orchestration built in. Access any LLM worldwide (605 models, 60+ providers). Connect your APIs or MCP servers in a few clicks, or use 1,000+ integrations. Drill into traces, test against datasets before you ship, get outputs scored by LLM judges. Track cost per model, agent, task or customer, and monetise. Embed an AI workspace inside your app with a few lines of code where users can ask, schedule, automate anything.

Sidenet AI was featured in SaaS (44.5k followers) and Artificial Intelligence (479.9k followers) on Product Hunt. Together, these topics include over 182.7k products, making this a competitive space to launch in.

Who hunted Sidenet AI?

Sidenet AI was hunted by Alexia Danan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Sidenet AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.