For teams building with AI

Everyone’s vibe-coding tools.
Who’s keeping them running?

Your people are already building with AI: a script here, a calculator there, a spreadsheet that now runs month-end. Beye gives that work one place to live, on your company’s data, where the whole team can run it and see what changed.

Somewhere, a laptop is quietly running month-end. 😬

The Beye application showing a user building a reusable function, its inputs, and the Run control The Beye application showing a user building a reusable function, its inputs, and the Run control

The tools are useful.
The sprawl is the problem.

Nobody wants to stop people building. The worry is what happens after the afternoon a tool was built in.

It lives on one person’s laptop.

On Beye a tool is shared. It has inputs and a Run button, and the team runs the same one.

Everyone works from their own export.

The data fabric connects your source systems and keeps the data current, so every tool starts from the same data.

AI-written code runs who knows where.

Python runs in sandboxes inside Beye, not on a laptop or a forgotten server.

Nobody knows what changed, or who changed it.

Every change is a revision, with its author and a code diff you can read.

There is no record of what was run.

Each run is saved with its inputs, the revision it used, its timing and its results.

Is any of this audited?

Beye is SOC 2 Type II audited. The details are in our Trust Center.

Your team’s work.
A collective history.

A replay of real revisions and runs from the Beye application: who changed a tool, what changed in the code, and what each run returned.

Collective historyr18
Merchant category label updatedr18

by the assistant

Python updatedr17

by the assistant

DIFF EXCERPT
−if min_amount is not None:
+min_val = max_val = None
+if min_amount is not None and str(min_amount).strip():
Maximum amount input addedr16

Grouped with Minimum amount · by the assistant

Code, forms and layouts keep their revisions.

From one person’s script
to the team’s tool.

You do not have to move everything. Start with the one that worries you most.

01

Connect the data

The data fabric brings in data from the systems you already run and keeps it current with recurring updates. No warehouse project first.

02

Build it with AI

Describe what you need in plain language. Beye writes real Python and runs it in a sandbox, so you get results you can check, not just code.

03

Share it as a tool

Give it inputs and a Run button. Colleagues run the same tool with their own inputs instead of copying a file.

04

Keep the history

Revisions show who changed what. Saved runs keep their inputs, timing and results for reviews and audits.

Build and run safely.
Trust you can inspect.

Sandboxed Python, revisions and runs you can inspect, and audited controls.

Security & control

SOC 2 Type II

Audited controls, detailed in our Trust Center.

Traceable work

Inspect revisions, code changes, inputs and previous runs.

White labeling

Put your brand on it for customers and partners.

Visit the Trust Center

Questions welcome.

No. Developers building software should keep the tools they like. Beye is for the business tools that grow up around your data: the calculations, checks and reports people build for themselves. It gives those a shared home, with the data, the execution and the history included.

Start with one. Bring a spreadsheet, script or report you run today, and we will show you how Beye connects the data behind it and turns it into a tool your team can rerun.

Inside Beye. Python runs in sandboxes on the platform, on the data the fabric keeps current, so a tool does not depend on one person’s machine being switched on.

Each tool keeps its revisions, with the author and the code diff, and its previous runs with their inputs and results. Your team can trace a number back to the run and the revision that produced it.

No. Beye supplies its own data fabric and keeps source data current, so you can build without finishing a warehouse project first. If you already have a warehouse, it can be a source too.

Mostly in who operates everything around the tool once it ships. We compare the two approaches job by job, with a public source beside each claim, in the comparison under Further reading.

See the detail.

Data fabric

How Beye connects the systems you already run and keeps their data current.

Bring one tool.
The one nobody dares touch.

Tell us which tool, script or spreadsheet you would start with. A real person on our team reads every note and will reach out to show you how it would run on Beye.

Our engineers love a challenge. Allegedly. 😉

Prefer to talk first? Book a demo.