Make your product AI native
Sidenet gives software platforms everything they need to ship, scale and monetise in-product AI agents — without building the stack from scratch.
Go for it with your eyes closed. It’s a great product that moves fast, and you’ll have a team that really listens.
What Sidenet is
Everything between your product and the models
Sidenet handles the unglamorous 80% of in-product AI so your team can focus on the experience your users actually see. You bring the product, the data and the users. We bring everything between them and the models.
Sidenet runs — the core engine
Scroll to see what you build ↓- Agents
Ship agents without hiring an AI team.
Configure each agent's prompt, model, memory, guardrails and resources, all configured in Studio. No framework to learn, nothing to host. Your product team ships it and your engineers stay on your roadmap.
Prompt variables · guardrails · 4 memory modes · versioned releases
- Tools
Paste your spec. Every endpoint becomes a tool. Then connect 1000s others in our marketplace.
Your agents act inside your own product from day one. Import your OpenAPI spec or connect an MCP server, with no connectors to write. Then add Slack, Gmail, Sheets and 1,000+ more, auth handled.
OpenAPI import · MCP · 1,000+ providers · scoped per agent
Send us your API docs and we'll demo your own assistant - Models
Any model. No compromise on your data policy.
Filter 605 models by region, retention and training policy. EU-hosted, zero retention, never trained on: the best ones are still on the list. New models land within 24 hours, so your assistants never fall behind.
605 models · 60+ providers · new models in <24h · swap per agent in two clicks
- Workflows
When you know the steps, lock them in.
Repricing, reporting, reconciliation: when the steps are known, run them the same way every time, on a schedule, from a webhook or when an agent calls. Your users get the result, not another task.
Tools, code & agents on one canvas · parallel & branching · every run timed and costed
- Networks
One assistant out front. A team behind it.
Your users ask one assistant. Behind it, a handoff agent routes each request to the right specialist with the right tools. Start with one agent and add more as you grow. No rewiring.
Handoff routing · orchestrators & sub-agents · Dev → Staging → Prod
We didn’t build anything for this. The agents run on the same API our product runs on, with the same permissions. Sidenet handled the parts that are hard about agents — the workflows, the guardrails, the EU models — and we were live in weeks.
Build your first agent today.
Embedded in your product
An AI workspace, inside your product.
Your users finally ask, act, schedule and automate without leaving your app. Built in Studio from agents, networks and workflows, custom to your vertical.
- Ask
- Answers from live data, in plain language.
- Act
- It does the work through your API.
- Schedule
- The weekly report, every Monday at 09:00.
- Automate
- A booking lands. The follow-up is already done.
See it in your vertical
Sidenet didn’t arrive asking us to explain hospitality. They already knew how a group desk works, what a hotel checks before saying yes, and where the margin hides. We spent our time on the product, not on educating a vendor.
Hospitality · PMS platformLess time in their tools. More time with their guests.
Hoteliers on the open, API-first PMS have a team of assistants working inside Apaleo — reading the whole stack, answering across every property at once, and acting the moment something changes.
Read the case studyHospitality · Group salesHow Backyou optimised margin on every group request.
A hotel group-sales platform shipped one-click AI demand scoring and a network of specialist agents on its existing API — EU-hosted, multi-tenant, no AI team.
Read the case studyRun · what you control
Observe, score, and get paid.
Shipping the assistant is the start. Sidenet shows you every answer, proves every change, and tells you what each customer costs and what they get back.
- Traces
Know exactly why it said that.
Every request opens into a timeline of model calls, memory and tool calls, each one timed and priced. When an answer is slow, wrong or expensive, you find the step in minutes and fix it.
Latency, cost & tokens per step · raw input/output · filter by customer
- Evals
Prove a change is better before you ship.
Test every prompt or model change against your own golden set, scored for relevancy, faithfulness and hallucination. The same scorers watch production, and Auto-optimise finds cheaper setups that score just as well.
14 scorers · golden sets · experiments · auto-optimise
- Agent ops
Know what it costs. Show what it's worth.
See cost per customer, agent and model next to the value each task created: revenue added, hours saved, churn caught. Price your AI on evidence, protect your margin, and take the proof into every renewal.
Cost per customer, agent & model · live margin · value created
Make your product AI native
Ship your first in-product agent in weeks, not quarters.