Guardrails & Contracts
You can't trust what you haven't defined. Set inputs, outputs, and success criteria before anything ships.
Build, deploy, and operate AI agents
Most teams duct-tape multiple tools together and pray nothing breaks between them. Fruxon is where the entire agent lifecycle lives — so nothing ships without proof, and recovery is one click.
The goal was never to control your agents. It was to trust them. That kind of trust doesn't come from hoping. It comes from infrastructure.
The connected lifecycle
Define what good looks like — before it ships
Failover, scaling, uptime. Our problem
Every trace, every cost. In real time
Immutable. Traceable. No surprises
Gate on proof, not hope
One click. Seconds. Back to trust
From pilot to production at scale — one platform for the entire agent lifecycle.
Define what your agent is made of — model, tools, guardrails, flows — on a visual canvas. Or let Copilot build it with you in plain English.
One click to production. Failover, scaling, uptime — that's our problem. You ship product.
Know what your agent saw, what it did, and what changed since last time. Not after the incident — in real time.
Every version is immutable. Every change is recorded. Alpha, Beta, Production — route traffic between them and measure.
No agent goes live on faith. Run evals, catch regressions, gate deployments on proof — not hope.
When something goes wrong — and it will — one click. Seconds. Back to the last version that earned your trust.
Most teams spend 3–6 months building this from scratch. Fruxon gives you all of it — so you can ship agents, not infrastructure.
You can't trust what you haven't defined. Set inputs, outputs, and success criteria before anything ships.
You shouldn't need three engineers to keep one agent running. Failover, scaling, and uptime — handled.
You can't control what you can't see. Every trace, every cost, every decision — from test to production.
Some decisions deserve a human signature. Gate deployments on eval results, not hope.
Agents are only as good as what they know. Upload documents, connect sources — no vector store to manage.
Agents need data, not plumbing. Webhooks, jobs, and data sources configured — not coded.
When things break — and they will — you're back in seconds. Not hours. Not a postmortem.
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
Shopify
Stripe
Datadog
Sentry
GCP
BigQuery
Slack
GitHub
Jira
Google Drive
Salesforce
MongoDB
Notion
Linear
Grafana
Discord
Confluence
PostgreSQL
HubSpot
Airtable
Shopify
Stripe
Datadog
Sentry
GCP
BigQuery
Google Calendar
Gmail
Mixpanel
Monday
MySQL
SAP
Zendesk
Zoho CRM
Google Maps
Google Ads
Coralogix
Telegram
Apollo
Mailchimp
Calendly
Redis
Supabase
GCP Logging
gVisor
Loops
Typeform
Google Calendar
Gmail
Mixpanel
Monday
MySQL
SAP
Zendesk
Zoho CRM
Google Maps
Google Ads
Coralogix
Telegram
Apollo
Mailchimp
Calendly
Redis
Supabase
GCP Logging
gVisor
Loops
Typeform
Don't see yours? Import tools from any MCP server or request an integration.
Security isn't a feature. It's the foundation.
Every agent runs sandboxed with minimum permissions. You define exactly which tools it can access — no implicit access, no scope creep.
Prompt injection detection, output validation, and human-in-the-loop for high-stakes actions.
Every action, every decision, every tool call — logged and traceable. So when things go wrong, you know exactly what happened — and can act on it.
"Treat agents like employees with access to sensitive systems: verify their work, limit their access, monitor their behavior."
Trust Center →From teams done hoping and ready to ship.
How is Fruxon different from observability tools?
Observability tools show you what happened. Fruxon controls what happens next — versioning, evals, guardrails, deploy, and rollback from one platform. Knowing isn't enough. You need to act.
How do you handle agent unreliability?
You can't hope agents into reliability. Evals catch regressions before deploy. Human-in-the-loop gates high-stakes decisions. And when something still breaks, you're back in seconds — not scrambling through logs.
Why not build our own agent infrastructure?
You can. Most teams spend 3–6 months on it — alone, while trying to ship everything else. That's not a plan. That's a tax on every feature you're not building.
See the full DIY comparison →Do I need to rebuild my agents from scratch?
No. Bring what you've built. Our Agent Studio includes a Bring Your Agent copilot — import from the most popular platforms like LangChain, CrewAI, n8n, and more. Connect your setup, and you're running within minutes.
Read the docs →Is my data safe with Fruxon?
Your data never trains any model. Encrypted at rest and in transit, enterprise-grade security throughout. Your agents, prompts, and datasets belong to you — always.
Learn more about our security →What if I want to leave Fruxon?
Your agents, your data, your call. Export configs, prompts, datasets, and traces — no exit fees, no lock-in contracts. We keep customers by being useful, not by making it hard to leave.
Have more questions? Contact us