Build AI agents in an afternoon. Keep every one of them under control.

One platform to design, deploy, and govern every AI agent in your organization — from the first prototype to a fleet running in production.

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What changes with Symphonix

Most organizations hit the same three walls with AI agents. Here is what replaces them.

  • Before Each agent takes weeks

    An agent in an afternoon

    Describe it or draw it in Studio, or start from the solution library, and test it before it goes live.

  • Before Nobody sees the whole fleet

    Every agent in one place

    See which agents are running, which need attention, and what each run costs.

  • Before Rules arrive too late

    Policies and approvals from day one

    Decide who may use each agent and which actions need a person's sign-off, before the agent goes live.

Build agents, and stay in charge of them

Builders get a faster way to ship agents. IT and security get one place to watch and control all of them.

Symphonix Studio

Describe the agent. Keep the code it becomes.

Describe what the agent should do in plain words, or draw it as a flow. Studio tests it against your cases and writes a self-contained Node project for your own servers, one that keeps running even if Studio is shut down.

  • Every tool and database declared up front
  • Start from a ready-made agent in the solution library
  • Pass/fail tests and scored evaluations
  • A person's approval on any step you choose
See how Studio works
Symphonix Studio: a customer-support agent drawn as a flow, with a tool connected to an MCP server

Symphonix Monitor

See every agent. Stop any agent.

Every agent you deploy reports to the Monitor on your own server. Follow each run step by step, see what it cost, and stop one agent or the whole fleet with a confirmed switch.

  • Health and every run, step by step
  • Tokens per run, and cost once priced
  • What needs attention and who must approve
  • Run all / Stop all
See how the Monitor works
Symphonix Monitor: one agent's overview with last run, success rate, response time and runaway limits

From first idea to a governed fleet

Build, watch, and govern every AI agent from one platform.

1

Symphonix Studio

Build

Describe the agent or draw it. Both produce the same flow, and you test it before anyone uses it.

  • Describe it, draw it, or use our agent solution library
  • Scheduling and triggers
  • Subflows
  • The chat window
  • Platform components — form, table, chart
  • Tests and evaluations
  • Deployment
2

Symphonix Monitor

Watch

Every agent reports what it is doing, whether the services it depends on are healthy, and what each run cost.

  • The fleet at a glance
  • What needs attention
  • Health, runs and logs
  • Live health checks
  • Token and cost tracking
  • Agent registration
  • Agents running / terminating
3

Manage

Govern

Decide who may use each agent, which actions need a person's approval, and which policies apply.

  • Users
  • Roles
  • Privileges
  • Token validation
  • Organization policy
  • Human in the loop (approval workflow)
  • Set up MCP servers
  • Knowledge center

For security teams

Your network. Your keys. Your model.

Symphonix is software you install, not a service you sign up for. There is no Symphonix cloud between your agents and your systems.

  • No SaaS. Self-hosted.

    Install on your own servers, on-premises or in your own cloud account on AWS, Azure or any data center. Each agent is a standalone project or a Docker image.

  • Your sign-in, your rules

    Single sign-on with Microsoft Entra ID, so your MFA and conditional access apply, or sign in with Active Directory. Each agent only listens on its own machine.

  • Your keys, your model

    API keys live in a settings file on your side, and a redeploy never overwrites it. Each deployment chooses its own model, OpenAI and Claude out of the box, and calls it straight from your deployment.

Connects to the systems you already run

An agent declares what it may reach. Addresses and credentials stay in your deployment, never in the agent's definition.

MCP servers

Name a server and the tools an agent may call. The client code is generated for you, and the Monitor keeps a catalog of the servers your organization allows.

Your documents (RAG)

Index a folder on a server you run, and agents answer from it, citing the source document. The default embedding model runs locally and handles 50+ languages, including Hebrew.

SQL databases

Postgres, Oracle and SQL Server, read-only. A schema diagram decides which tables an agent sees, and database credentials never sit in an agent's folder.

Triggers

Start an agent on a schedule, on an event or from a webhook, with nobody in the chat.

Studio

Build it easily

Getting one working is an afternoon.

Describe it, or draw it

Write what you want the agent to do in plain language, or lay it out as a visual flow. Either way, Studio turns it into a working agent.

The solution library

A shelf of whole working agents to start from. Pick one, adapt it, and skip the blank page entirely.

Tests and evaluations

Run tests and evaluations before you deploy so the agent behaves the way you expect on day one.

Human in the loop

Add approval steps so a person reviews critical actions before the agent takes them.

Symphonix Monitor

Control, not reports

A policy can pause an agent. Only a person can stop the fleet.
  • What needs attention

    The Monitor lists every agent that is degraded, failing or waiting on a human decision, so you act before a problem spreads.

  • Stop all / Run all

    Everything running, in one press and a confirm. Stop the entire fleet or bring it back up without touching individual agents.

  • Organization policy

    Define a policy that can pause an agent automatically when it breaks a rule. Policy is enforced by the platform, not by goodwill.

  • Approval groups and rules

    Set up approval groups and rules so the right people sign off on the right actions. Human in the loop, by design.

Built for organizations running many agents

Mid-to-large organizations in any industry that run or plan to run many AI agents.

Teams who build agents

Developers and business teams go from idea to a deployed agent in an afternoon.

IT, security and compliance

The Monitor shows every agent, what it costs and what needs attention, with one switch to stop them all.

Book a demo

Tell us about your organization. In a live walkthrough we'll build an agent with you and show how you control it.