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Fruxon

The platform for agents thatcan act,
can ask,
can learn.

You design the agent. We run it.

How It Works

What that means in practice

Act

Closes the ticket, issues the refund, updates the CRM

Ask

Asks the person who'd actually know — instead of guessing

Learn

What it escalated last month, it handles this month

How it works

Six steps from an idea to an agent your team actually relies on.

Define it once, in the studio

Model, tools, knowledge and guardrails in a single definition — declared as configuration, not scaffolded as code you'll have to maintain.

Visual agent studio — nothing to scaffoldChat, analysis, or workflow agentsEvery save is a version you can return to

Give it hands, and something to know

Connect the systems it will actually touch and the documents it should answer from. Configured, not coded.

40+ service integrationsKnowledge base — no vector store to manageSandbox credentials until you say production

Introduce it to your team

Add the people it can consult — their lane, what they help with, where to reach them. When the agent is unsure, it picks whoever would actually know.

Area and expertise per personReaches them on Slack, Teams, WhatsApp or emailFalls through to the next person when nobody answers

Decide what it decides alone

Say which actions need a signature, which need a second opinion, and which just need someone told. Everything else, it handles.

Approve, consult, or notifyGuardrails and contracts up frontTimeouts fall back to a default, so nothing hangs

One click to production

Failover, scaling and uptime are our problem. Every run is traced — what it saw, what it did, what it cost — in real time.

One-click deploy from the UITest-to-production tracingUsage & cost visibilityMulti-provider failover

Prove the next version is better

Every change runs against your datasets before it ships. If something still goes wrong, one click puts the last good version back.

Evaluations as deployment gatesImmutable versions, traffic splits & canariesInstant rollback, full audit trail
What You Get

What it takes to act, ask, and learn.

None of the three come free. Most teams spend 3–6 months building the parts underneath before an agent can do any of them.

Can act

Do the work, not just describe it.

Connectors, Not Plumbing

Agents need data, not plumbing. Webhooks, jobs, and data sources configured — not coded.

Webhooks
Data Sources
Secrets

Zero-Ops Infrastructure

An agent that's down can't act. Failover, scaling, and uptime — handled, without three engineers on it.

Multi-Provider
Auto-Scale
Reliability

Can ask

Know the edge of its own authority.

Guardrails & Contracts

An agent can't stop at a line nobody drew. Set inputs, outputs, and success criteria before anything ships.

Agent Definition
Guardrails
Contracts

Human-in-the-Loop

Some decisions deserve a human signature. High-stakes calls route to a person instead of getting guessed at.

Eval Gates
HITL
Approvals

Can learn

Get better, with proof it did.

Built-in Knowledge Base

Agents are only as good as what they know. Upload documents, connect sources — no vector store to manage.

RAG
Knowledge Base
Grounding

Full Observability

You can't improve what you can't see. Every trace, every cost, every decision — the evidence each revision is judged on.

Tracing
Costs
Monitoring

Instant Rollback

Improving means trying things. Rollback is what makes that safe — back to the last good revision in seconds.

Instant Rollback
Version-Locked
Recovery
Integrations

Connects to your stack.

Pre-built tools for the services your team already uses.

Slack

GitHub

Jira

Google Drive

Salesforce

MongoDB

Notion

Linear

Grafana

Discord

Google Chat

Confluence

PostgreSQL

HubSpot

Airtable

Shopify

Stripe

Datadog

Sentry

GCP

BigQuery

Slack

GitHub

Jira

Google Drive

Salesforce

MongoDB

Notion

Linear

Grafana

Discord

Google Chat

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.

Built for production. Not applause.

Security isn't a feature. It's the foundation.

Locked Down by Default

Every agent runs sandboxed with minimum permissions. You define exactly which tools it can access — no implicit access, no scope creep.

Verification at Every Boundary

Prompt injection detection, output validation, and human-in-the-loop for high-stakes actions.

Full Audit Trail

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 →

Build the agent. We'll run the rest.

Questions we hear

From teams done hoping and ready to ship.

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.

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.

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 →

Agents are built in Fruxon rather than imported. That means declaring what the agent is — model, tools, knowledge, guardrails — instead of writing and maintaining the code around it. What carries over is the thinking: your prompts, your datasets, the systems it needs to reach. What you don't rebuild is everything underneath.

Read the docs →

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 →

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