Build
Define agents with goals, guardrails, inputs, and outputs. Capture success criteria up front.
Fruxon helps you build, run, observe, and version your AI agents — full lifecycle management in one platform so you can ship to production with confidence.
Ship AI agents you can trust.
Define agents with guardrails & 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
Build, run, observe, version — full agent lifecycle in Fruxon. From pilot to production.
Build
Run
Observe
Version
Evaluate as Deployment Gates
One-Click Rollback
Define the agent's goal, guardrails, inputs, and outputs. Capture success criteria so everyone aligns on what 'good' looks like.
Ship your first agent in minutes
Build, run, observe, version—full agent lifecycle in one place. No glue code. No ops burden.
Built for production. Not applause.
Define agents with goals, guardrails, inputs, and outputs. Capture success criteria up front.
Multi-provider failover, auto-scale, and SLA-friendly operations. Zero infra to manage.
End-to-end tracing from test to production. Usage, costs, and performance visibility.
Immutable versioning bound to golden datasets. Alpha/Beta/Prod lanes with traffic splits.
Don't ship agents you can't measure. Human-in-the-loop where it matters.
Webhooks, jobs, and data sources configured—not coded. Reuse securely across versions.
Deterministic versions, instant revert. When things break, recover in seconds.
Built for the 90% who fail to get past pilot, not the 10% who already have.
Every agent runs sandboxed with minimum permissions. Semantic isolation means an invoice agent can't suddenly send emails.
Agents progress through trust levels based on demonstrated behavior. New agents start restricted; autonomy is earned over time.
Prompt injection detection, output validation, and action approval workflows for high-stakes operations.
"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.
We already use an observability tool. Why Fruxon?
Great for observability. But who's handling build, versioning, and deployment gates? That's the gap we fill. Most tools do 1-2 things. Fruxon does all four: build, run, observe, version.
We're still experimenting with agents.
Perfect. Build on a production-ready foundation now, so you don't have to rewrite later. The 18-month window is closing—39% of enterprises are experimenting, and they'll hit production walls soon.
Agents aren't reliable enough yet.
Exactly. That's why you need evals, human-in-the-loop, and rollback built in from day one. Fruxon gives you deterministic reliability for non-deterministic AI.
We'll build it ourselves.
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 this in minutes.
Do you support my preferred AI model?
We're model-agnostic with multi-provider failover. Use OpenAI, Anthropic, Google, or your own models. Fruxon handles the reliability layer regardless of what's underneath.
Is my data safe with Fruxon?
Absolutely. 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? Ask us on Discord
Stop building infrastructure. Start shipping agents.