Configurable AI agents
Create agents in Studio with a prompt, selected model, memory, guardrails, and scoped tools or resources. Versioned releases and Dev, Staging, and Prod environments support controlled deployment.
Sidenet
Freemium
Sidenet is an infrastructure platform for vertical SaaS companies to build, embed, observe, and monetise AI assistants in their products. It provides agents, workflows, model access, integrations, memory, evaluations, and operational cost tracking for software teams.
What is Sidenet?
Sidenet is an infrastructure platform for vertical SaaS companies building in-product AI assistants. It sits between a software product, its data, and model providers, giving product and engineering teams tools to configure agents, connect business systems, orchestrate workflows, and embed assistants in their existing applications.
Teams can connect product data through an API, MCP server, or database connection. In Sidenet Studio, they configure prompts, models, memory, guardrails, and resources without hosting an agent framework. Assistants can answer questions from live data, perform actions through APIs, run scheduled jobs, or start workflows when events occur.
The platform also provides multi-agent networks, model selection, integrations, tenant-scoped context, traces, evaluations, and cost tracking. This is intended to help SaaS providers operate customer-facing AI with visibility into response quality, usage, customer-level cost, and—on supported plans—monetisation.
What can Sidenet do?
Workflows and agent networks
Combine tools, code, and agents on one canvas with branching and parallel steps. A front-facing assistant can hand requests to specialist agents, while workflows can run from schedules, webhooks, or agent calls.
API, MCP, and data connections
Import an OpenAPI specification so its endpoints become tools, connect MCP servers, or use REST, GraphQL, and SQL connections. The platform also lists more than 1,000 integrations, including Slack, Gmail, and Sheets.
Model and context controls
Choose from 605 models across more than 60 providers and filter by region, retention, and training policy. Sidenet also supports four memory modes, RAG and vector search, tenant-scoped context, fallback models, and automatic retries.
Embedded delivery options
Add assistants to a product through the Chat SDK, React and web components, or call agents and workflows from a backend using the REST API. The API supports streaming responses and typed schemas; webhooks and scheduled tasks support asynchronous work.
Observability, evaluation, and cost operations
Inspect traces for model, memory, and tool calls, including timing, raw input and output, and cost. Golden sets, 14 evaluation scorers, experiments, production scoring, cost tracking, and auto-optimisation help teams assess quality and operating expense.
Use Cases
“Hotel operations and revenue analysis”
Hospitality software can let teams ask questions across properties and connected systems, such as the PMS, rate shopper, and events calendar. In the Apaleo case study, assistants generated scheduled reports, answered portfolio-level questions, and proposed approved changes in the PMS.
“Event-triggered customer follow-up”
A SaaS product can trigger a workflow when an event arrives through its API or webhook. In the Apaleo example, a cancellation caused assistants to identify a suitable previous enquiry and draft an email for front-desk approval.
“Group sales and demand scoring”
Group-sales platforms can use an existing API to score demand and coordinate specialist agents. The Backyou case study describes one-click AI demand scoring and a multi-agent setup for hotel group-sales workflows.
“Scheduled reporting and recurring automation”
Teams can expose recurring jobs such as weekly reports, reconciliation, repricing, or periodic reviews. Scheduled tasks run on a cron and can place results back in the product or deliver them through supported channels such as email or Slack.
“Customer-facing AI features for vertical SaaS”
Product companies in hospitality, restaurant, wellness, healthcare, HR, education, and delivery can embed an assistant that answers from live data, performs actions through the product API, or routes complex requests to specialist agents.
Frequently Asked Questions
How do teams connect Sidenet to an existing product?
The documented connection options include importing an OpenAPI specification, connecting an MCP server, and using REST, GraphQL, or SQL connections. Sidenet also supports MCP servers and integrations such as Slack, Gmail, and Sheets.
How can an assistant be embedded in a SaaS product?
Sidenet provides a Chat SDK, React and web components, and a REST API. The REST API can call agents or workflows from a backend and supports streaming responses and typed schemas.
Can Sidenet run actions automatically?
Yes. Agents can call connected tools, and workflows can run when a user asks, an agent calls them, a webhook arrives, or a schedule is reached. The Apaleo case study also describes actions proposed for human approval before changes are made.
How does Sidenet handle model costs and platform billing?
The Basic plan starts with $5 in free credits. Sidenet passes model usage through at provider market rates and applies a 45% service fee to Basic-plan top-ups. There is no monthly platform fee or per-seat pricing on Basic; Pro pricing is custom.
What operational and quality data can teams inspect?
Traces show model, memory, and tool calls with timing, raw input and output, and cost. Teams can use golden sets, 14 evaluation scorers, experiments, continuous production scoring, and cost views by model, agent, and customer.
Quick Facts
- Product category
- In-product AI infrastructure for vertical SaaS
- Primary users
- Product and engineering teams at software platforms
- Connection methods
- API, MCP server, OpenAPI, REST, GraphQL, and SQL
- Model coverage
- 605 models from more than 60 providers
- Embedding options
- Chat SDK, React and web components, REST API, webhooks, and scheduled tasks
- Pricing model
- Basic starts with $5 in free credits; Basic charges a 45% service fee on top-ups, with model costs passed through at market rate
Sidenet Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 2
Sidenet Alternatives
Personal AI
personal.ai
Persistent-memory AI assistants, persona tools, and infrastructure for builders
Context
context.ai
Context is an enterprise AI agents platform for building, deploying, and improving agents on customer infrastructure, with workspace, runtime, context, evaluation, connectors, and IdP access controls.
Onyx
onyx.app
Onyx helps employees and AI agents find relevant information across company sources while respecting access permissions. Teams can also use internal knowledge in AI chat and configure agents for their workflows.
Coworker
coworker.ai
Coworker is an enterprise AI agent platform for chat, agents, and code work across connected company tools—helping teams research, create artifacts, and automate workflows with live context from 50+ integrations.
Allganize
allganize.ai
Enterprise AI for teams to build agents, search company knowledge, and automate workflows.
Yutori
yutori.com
Yutori provides AI agents for browser automation, web research, and scheduled monitoring, helping teams delegate repetitive digital tasks to cloud-based agents and a browser-focused computer-use model.