Guardrails & Contracts
Define inputs, outputs, and success criteria before agents ship. Capture what 'good' looks like up front.
Define agents with guardrails, knowledge bases & contracts
Multi-provider failover, auto-scale
Tracing from test to production
Immutable versioning, golden datasets
Deployment gates, human-in-the-loop
One-click revert when it matters
Six steps. One platform. Full agent lifecycle.
Build
Run
Observe
Version
Evaluate
Rollback
Define the agent's goal, guardrails, inputs, and outputs. Capture success criteria so everyone aligns on what 'good' looks like.
No glue code. No ops burden. Every capability built in.
Define inputs, outputs, and success criteria before agents ship. Capture what 'good' looks like up front.
Multi-provider failover, auto-scale, and SLA-friendly operations. No infra to stitch together.
End-to-end tracing from test to production. Usage, costs, and performance in one dashboard.
Alpha, Beta, and Production lanes. Route traffic between agent versions and measure before promoting.
Gate deployments on eval results. Curated datasets and human review where it matters.
Ground agents in your data with built-in RAG. Upload documents and connect sources — no vector store to manage.
Webhooks, jobs, and data sources configured — not coded. Reuse securely across versions.
Deterministic versions with one-click revert. When things break, recover in seconds.
Pre-built tools for the services your team already uses.
Slack
GitHub
Jira
Google Drive
Salesforce
MongoDB
Notion
Linear
Grafana
Discord
Confluence
PostgreSQL
HubSpot
Airtable
Slack
GitHub
Jira
Google Drive
Salesforce
MongoDB
Notion
Linear
Grafana
Discord
Confluence
PostgreSQL
HubSpot
Airtable
Google Calendar
Gmail
Mixpanel
Monday
MySQL
SAP
Zendesk
Zoho CRM
Anthropic
Google Maps
Google Ads
Coralogix
Telegram
Google Calendar
Gmail
Mixpanel
Monday
MySQL
SAP
Zendesk
Zoho CRM
Anthropic
Google Maps
Google Ads
Coralogix
Telegram
Don't see yours? Import tools from any MCP server.
Security isn't a feature. It's the foundation.
Every agent runs sandboxed with minimum permissions. An invoice agent can't suddenly send emails.
You define exactly which tools each agent can access. No implicit permissions, no scope creep.
Prompt injection detection, output validation, and approval workflows for high-stakes actions.
"Treat agents like employees with access to sensitive systems: verify their work, limit their access, monitor their behavior."
Full Security Philosophy →From teams evaluating agent infrastructure.
How is Fruxon different from observability tools?
Observability tools show you what happened. Fruxon controls what happens next — build, version, evaluate, deploy, and roll back agents from one platform.
How do you handle agent unreliability?
With guardrails at every layer. Evals catch regressions before deploy, human-in-the-loop gates high-stakes actions, and instant rollback means recovery takes seconds, not hours.
Why not build our own agent infrastructure?
You could. But do you want your engineers building ops infrastructure or shipping product? Building reliable agent infrastructure typically takes 3–6 months. Fruxon gives you all of it in minutes.
See the full DIY comparison →Do I need to rebuild my agents from scratch?
You define your agent inside Fruxon — that's what makes safe rollback and full visibility possible. But you're not starting over: bring your existing prompts and connect your tools. Most teams are up and running within minutes.
Is my data safe with Fruxon?
Your data is never used to train any models. We encrypt everything at rest and in transit, and follow enterprise-grade security practices. Your agents, prompts, and datasets belong to you — always.
Learn more about our security →Have more questions? Contact us