TEAM WORKSHOP
Build the tools your team's AI runs on. In your own cloud.
Save a query over your live data, or point OpenX at a repo: either becomes a tool that runs in your tenant, callable by every AI your team uses.
callable by any AI or app
Bring every source together.
Live devices, databases and APIs, queried side by side in your own cloud, so the team and its AI work from the same data.
Build tools your team runs on.
Save a query over your live data, or deploy a workbench from your repo. Claude Code, Codex, Azi (OpenX's own assistant) and your apps can all call them.
Stay in control.
AI proposes the changes that matter, and your team approves them. It all runs in your cloud, and keeps running if you leave.
WHERE GOOD WORK GETS STUCK
Sharing your work isn't the same as building on it.
Everyone on your team is doing more with AI: a script here, an agent there, a chat that cracked something. Most of it runs once, in one person's setup.
Each tool keeps its own copy of the work and its own view of the data, so nobody else can build on it.
OpenX puts that work in one shared place, so each piece becomes something the next person, and their AI, builds on.
WHAT YOU GET
Connect your data. Build tools on it. Let every AI call them.
Point OpenX at the systems your data lives in: databases, live devices, APIs. Save a query that matters and it's a live API + MCP, callable by any AI your team uses. One saved query, not five people with five versions of the truth.
Don't want to write the query yourself? Ask Azi, OpenX's assistant, in plain English. She shows you exactly what it runs, and you save the ones worth keeping.
CONNECT
Your systems
Databases · live devices · APIs · simulators
BUILD
Your tools
Saved queries: query your live data and save it as a tool.
Workbenches: point OpenX at a repo, and it builds and hosts it.
API + MCP · one URL → any AI
CALL
Any AI, any app
Claude Code, Codex, Azi and your apps call them, over MCP and an API.
YOU
Which sensors ran hot this week?
SELECT SensorId, MAX(Temp) FROM Readings WHERE Temp > Threshold …
Azi shows you exactly what it runs, before it runs
Each of these is a workbench: one repo that declares what it does. OpenX ships with these assembled into one workshop, and you add your own alongside them.
WHY IT COMPOUNDS
One person figures it out. The whole team builds on it.
The person who knows the domain can save the query, write the rule, build the check, without waiting on a platform team. Once it's saved, every teammate's AI can call it, and the next capability builds on it.
Workbenches build on each other: OpenX wires one into another at deploy. Each new tool starts from what your team has already built, so the work compounds instead of ending up as another throwaway script.
WORKBENCHES
Build your tools once. Reach them every way you need.
One repo, every tool a job needs.
A workbench is the set of tools your team builds for a job: incident response, support triage, release checks, or anything else you want your AI to be able to do. Write it once in a repo, and it runs on your laptop with fai run. Point OpenX at the repo and it builds and hosts it in your tenant, serving it over MCP, API and web interfaces, so anyone on your team can use it. Workbenches build on each other, so each new one starts from the ones you already have.
each one hosted in your tenant, over MCP and REST
Skill
Tells an agent how to do something.
MCP server
One way for AI to reach a tool. It speaks MCP and nothing else.
Workbench
Tools written once and reached every way you need: MCP, an API, a web interface. It runs on your laptop or in your OpenX tenant, and builds on your other workbenches.
MOVE FAST, SAFELY
When it's consequential, AI proposes, your team decides.
Not everything needs a gate. But when a change touches production or something the whole team relies on, AI proposes it and the right person reviews it before it ships. Over MCP, an AI can propose but has no tool to accept. OpenX keeps who changed what, and when.
01 · PROPOSE
A teammate, or their AI, proposes the change.
02 · REVIEW
The right person sees exactly what it does.
03 · SHIP
It lands when a human says so. On the record.
BUILT ON AZURE
In your cloud, wherever your data lives.
OpenX runs on Azure: managed by us, or in the Azure tenant you already have. On infrastructure built for data in every shape it comes: databases, APIs, live devices, event streams, historians. Every kind of source, in one workshop you actually own.
Managed or bring-your-own
Start on our cloud or point OpenX at your own Azure tenant. Both are yours.
Every shape of data
APIs, live devices, streams, and historians are first-class sources, not just databases.
Proven where it's hardest
OpenIndustrial ships this same foundation into pharma, energy, and manufacturing, governed and audited.
See OpenIndustrial →YOURS, IN YOUR CLOUD
It all runs in your cloud. Fire us, keep running.
YOUR TENANT
What you build stays yours, not the vendor's. Plans & pricing →
Start with your data. Build from there.
Connect your data, build tools on it, and let every AI on your team call them. Already using fAI? Point your coding agents at a workbench with one command.
TEAM WORKSHOP
TEAM^AI