Sidenet provides vertical SaaS platforms with a turnkey AI infrastructure that lets them ship, scale, and monetize in‑product AI assistants without building the underlying stack. The platform includes an orchestrator, customizable agents, memory, tool integrations, and a runtime that can be embedded via a React or web component SDK, enabling seamless in‑app conversational experiences tailored to specific industry workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Vertical SaaS platforms often lack a ready-made AI stack, requiring significant engineering effort to create, host, and monetize in‑product AI assistants. This delays product releases, increases costs, and limits the ability to deliver real‑time AI insights within the application.
Solution
Sidenet offers a turnkey AI infrastructure tailored for vertical SaaS companies, enabling them to deploy, scale, and monetize AI assistants without building the underlying stack. The platform lets developers compose agents, define workflows, and attach memory, tools, and authentication controls through a visual orchestrator. Agents can be embedded directly into applications via a React chat SDK or accessed programmatically through a REST API, delivering real‑time insights and actions. Sidenet handles runtime execution, context management, and integration with external services, allowing SaaS products to focus on domain‑specific logic while the platform ensures reliability, security, and usage‑based billing.
Target Audience
Primary customers are vertical SaaS providers—such as hotel property management systems, healthcare platforms, and other industry‑specific software vendors—seeking to add AI-driven features to their products.
Features
- Visual orchestrator for building agents, workflows, and memory layers without code
- React chat SDK and web component for instant in‑app AI assistant embedding
- REST API with streaming responses and typed schemas for backend integration
- Built‑in authentication, tool access, and evaluation (Evals) framework for safe operation
- Scalable runtime core that manages context, signal processing, and action execution
- Monitoring of agent performance and usage metrics for monetization