Product
Acquire. Organize. Analyze.
Balthazar links prototypes, protocols, results and metadata in one structured, searchable system — and runs the Python your team writes.
One platform from Design to Fab to Testing.
Click any module to see how it works.
Design → Fab → Testing
One connected R&D system
Data sources
Your Python. Your equipment. One captured record.
Run existing code, notebooks and workflows locally or remotely. Capture inputs, outputs and execution context as your team works.
- Python workflows
- Balthazar Runners
- Automatic capture
Capture the work
Python Workbench + customizable Apps ↔ API ↔ connected data
Outputs
Built-in, across every stage
01How Balthazar works
The four pillars.
02 / Store & organize
An evolving data model and customizable ontology for Design–Fab–Test
02See Balthazar in action
Click in. Look around.
Backed by
03Core concepts
Four elements. Everything in your lab is made of them.
A Flow,run by the Runner,on a Device,becomes a Run.
- 01FLW
Flows
the recipe
Custom Python workflows define each R&D step, from design and fabrication, to measurement and analysis. Versioned, reproducible and reviewable.
- 02RNR
Runner
the hands
Runs your Python locally next to your instruments, controlled remotely from the browser — with any libraries you already use.
- 03DEV
Devices
the subject
The samples and physical objects you build and test; each linked to its design, recipes and results.
- 04RUN
Runs
the evidence
Every execution of a Flow. Inputs, code version, logs, plots and outputs are captured automatically.
04Bring your code
Paste existing Python
into a Flow.
Parameterise the inputs, declare the outputs you want to keep. Plots and logs are captured automatically. The code runs on the Runner machine with any libraries installed there.
# main.py — a Flow
a = 2
b = 3
c = a + b
print(c) # captured in the Run output05Capabilities
Interlinked R&D knowledge base
Prototypes and models are linked to experiments, parameters and key performance metrics automatically, so you can reproduce successes and avoid past mistakes.
Version-controlled recipes and protocols
Shared workspaces let you standardise processes and share them with the entire team in real time.
Dashboards and performance metrics
Follow real-time performance metrics and compare runs across devices to get better insights from fewer prototypes.
Role-based access, cloud or on-prem
Secure collaboration across teams and sites, with flexible deployment that keeps you in control of your data.
Full technical reference: docs.balthazar.app
06Reality check
So how muchis your lab losing?
Tune the lab. Switch leaks on and off. Click anything inside the ball.
LK-01 · Finding data
Which folder, which laptop, which version?
↳ Balthazar: One searchable record of every run.
Hours / week
40
Per year
€368K
FULL-TIME ENGINEERS
1.0
That's 1.0 researchers' worth of time, gone.
FAQ
Questions labs ask first.
The digital backbone of your lab.
An AI-powered R&D intelligence platform that connects your experiments, instruments, Python scripts, designs, fabrication data and measurements in one structured environment, so you spend less time organising data and more time doing research.
Make every prototype count.
See how Balthazar connects your existing Python, instruments and results in one traceable system.
Book a demo