R&D intelligence for deep tech labs
The R&D
intelligence
platform for
deep tech labs
Connect your designs, experiments & DoEs, fabrication recipes, and results in one R&D data management platform, from individual devices to entire lots. Run your existing Python workflows, trace every measurement back to its device, and use AI to understand what drives performance and what to try next.
device W-118 / die 14
captured · Design1/4
- layout
- chip_v7.gds
- rev
- v7 · approved
- linked
- 3 parent designs
Trusted by R&D teams
- Quantix Labs
- Photonica
- Wafer&Co
- Cellforge
- Nanoterra
- Quantix Labs
- Photonica
- Wafer&Co
- Cellforge
- Nanoterra
- Quantix Labs
- Photonica
- Wafer&Co
- Cellforge
- Nanoterra
- Quantix Labs
- Photonica
- Wafer&Co
- Cellforge
- Nanoterra
01The problem
Your next breakthrough shouldn’t start from scratch.
Device development generates enormous amounts of valuable data. Yet designs, fabrication recipes, experiments, and measurements remain scattered across spreadsheets, scripts, and disconnected tools.
As teams grow, knowledge gets lost, experiments are repeated, and engineers spend more time reconstructing what happened than figuring out what to do next.
Balthazar turns fragmented R&D data into a competitive advantage. One connected foundation for every device, design, process, and measurement; making results traceable, knowledge reusable, and every experiment a step forward.
02How it works
Four concepts.
One traceable record
of your lab.
FLW
01Flows
Custom Python workflows define each R&D step, from design and fabrication, to measurement and analysis. Versioned, reproducible and reviewable.
DEV
02Devices
The samples and physical objects you build and test; each linked to its design, recipes and results.
RUN
03Runs
Every execution of a Flow. Inputs, code version, logs, plots and outputs are captured automatically.
RNR
04Runner
Runs your Python locally next to your instruments, controlled remotely from the browser — with any libraries you already use.
Plan DoEs as parameterised Flows, run them on real devices, and compare every Run side by side.
03Build your own tools
AI makes it easy to build R&D tools.
Balthazar makes them last.
Keep your IDE, Python and AI assistant. Balthazar gives every app you build shared data, devices and access control from day one — so DoEs, dashboards and pipelines plug into the same record.
Your tools
- IDE + AI assistantReproducibility
- Python scriptsMaintenance
- Custom applicationsFragmentation
- Analysis pipelinesSecurity
Balthazar
- Experimental data and metadata
- Devices, samples and runs
- Shared applications and pipelines
- Access control and traceability
Your lab
- Instruments
- Measurements
- Devices and samples
- Simulations
○ Each tool keeps its own data copy, permissions and maintainer.
Don't rebuild the infrastructure that makes it work.
04Outcomes
Uncover valuable insights. Move with speed and confidence.
See how05Who it's for
Built for teams
that make and measure
their own devices.
R&D teams that run their own experiments on micro- or nanoscale devices, structures, films or materials — from scaleups to enterprise data management across sites.
Five kinds of labs, one shared problem: losing track of what was made, how and why. Pick yours.
Device & materials developers
Reach technical milestones faster.
Startups and scaleups building micro- and nanoscale devices and materials in their own lab.
If you lead R&DReach your next technical milestone — or investment round — faster with the team and infrastructure you already have. The knowledge stays when people change or you start scaling.
Layout and parameters stored with the device.
Sound familiar? Click to fix it
Talk milestones with usMake every prototype count.
See how Balthazar connects your existing Python, instruments and results in one traceable system.
Book a demo