Question 1

How long does setup take?

Accepted Answer

The initial setup is remarkably fast. You can add the Sidenet snippet to your application in just a few minutes. Once integrated, you can create and deploy your first AI agent on the same day. Our streamlined onboarding process and intuitive Studio interface make it easy to get started without extensive technical setup or configuration.

Question 2

Can we use our own models?

Accepted Answer

Absolutely. Sidenet supports all major LLM providers including OpenAI, Anthropic, Google, and more. You can switch between different model providers with a single click in the Studio interface. This flexibility allows you to choose the best model for your specific use case, optimize for cost and performance, and avoid vendor lock-in. You can even use different models for different agents within the same application.

Question 3

Security & privacy?

Accepted Answer

Security and privacy are our top priorities. Sidenet is GDPR-ready out of the box with isolated data storage by default, ensuring your customer data remains completely separate. We never train our models on your proprietary data or customer interactions. All data transmission is encrypted, and we offer enterprise-grade security features including SOC 2 compliance, role-based access controls, and audit logs for Enterprise customers.

Question 4

How do you gate premium features?

Accepted Answer

Sidenet provides flexible monetization controls that integrate seamlessly with your existing billing system. You can set up plan-based access rules to restrict certain agents or features to premium tiers. Our built-in usage metering tracks every interaction, allowing you to implement usage-based pricing models. The system integrates directly with Stripe, Chargebee, and Paddle, making it easy to charge customers for AI features and track ROI on your AI investments.

Question 5

What if we need help?

Accepted Answer

We offer comprehensive support at every level. All customers have access to our detailed documentation, video tutorials, and community forums. Advanced and Enterprise customers get priority support with dedicated Slack channels for real-time assistance. For Enterprise customers, we provide forward-deployed engineers who work directly with your team to ensure successful implementation, optimize performance, and help you achieve your AI roadmap goals faster.

Question 6

What does observability include?

Accepted Answer

Sidenet Studio includes comprehensive observability tools built directly into the platform. You get detailed traces of every agent interaction, allowing you to see exactly how your AI agents are performing and where they might be struggling. The system tracks key metrics like response times, success rates, token usage, and costs. You can set up custom alerts, run automated evaluations to catch regressions, and analyze conversation patterns to continuously improve your agents' performance over time.

Question 7

Do we need to hire AI engineers?

Accepted Answer

No. Sidenet is designed so your existing product and engineering team can ship AI assistants without specialist AI expertise. Studio is no-code for PMs; the integration is one line for engineers. For customers who want deeper support, we offer forward-deployed engineering.

Question 8

How does Sidenet handle data privacy?

Accepted Answer

Your data stays yours. Sidenet processes queries in real time but doesn't store your customers' data beyond what's needed for the features you enable (like memory and conversation history). We're GDPR-compliant and can work within your existing data policies.

Question 9

Can we connect Sidenet to our own internal APIs?

Accepted Answer

Yes. Paste a JSON or YAML OpenAPI spec link into Studio and Sidenet extracts every endpoint as an agent tool. Your internal APIs become agent-ready in seconds — no manual mapping or SDK wrapping.

Question 10

What happens if an AI model provider has an outage?

Accepted Answer

Sidenet supports 60+ providers. Switch any agent to an alternative model in two clicks from Studio. You're never single-threaded on a provider.

Question 11

Can we start small and scale later?

Accepted Answer

Absolutely. Start with one assistant on the free plan. Add agents, tools, and memory as your AI strategy matures. The architecture scales from a single Q&A bot to a full multi-agent network.

Frequently asked questions