The Data Engine for Physical AI

Every sample. Every event. Every result. Connected.

The semantic data engine that weaves complex, multi-department R&D into ML-ready knowledge. Built for the scientists of today, and the autonomous labs of tomorrow.

datin's semantic database model woven like a loom — all experiments, simulations, and autonomous robots on one side; AI and non-AI scientists, AI agents, and automated optimization on the other
Human scientists · Simulations · Robots → one connected record
The Problem

R&D has evolved. Traditional data management hasn't.

Whether you are coordinating three isolated departments or orchestrating a fully autonomous lab, ELNs and LIMS fail for the exact same reason: they force dynamic physical science into rigid digital spreadsheets.

A river of data pipes shedding context — red tags falling off at Experiments, Analysis, Storage, and Reuse until the AI Agent is left with an empty speech bubble
Each handoff strips part of the context — capping any agent's ability to do science
For traditional, multi-department labs

The Human Bottleneck

Chemistry lives in one system. Mechanical testing in another. Your data scientists spend 80% of their time writing Python scripts to VLOOKUP and merge data just to figure out what happened.

For autonomous & robotic labs

The Autonomy Bottleneck

Robots produce unpredicted states and massive volumes. If your database requires a software vendor to reconfigure a schema for every new robotic workflow, your automation is paralyzed.

How it works

A Self-Evolving Schema for Physical AI

We don't force you to build multi-year ontologies or rigidly pre-define your templates. datin exposes the ability to change the schema on the go. As your experiments change, whether driven by human intuition or an AI agent controlling a robot, the knowledge graph adapts.

Semantics added at every capturePreloaded high-quality schemasAdapts to any workflow
datin's guided mind-map: an Individual Action View chaining process nodes, with call-outs for Process Chain Building (any workflow) and Action Details Input (any detail recorded)
The guided mind-map accommodates any workflow, instantly turning complex process chains into a rich knowledge graph.
The 3 Superpowers

One connected record.
Three superpowers.

Every feature solves the human problem and the robotic problem at once — because they were always the same problem.

Superpower 01

Deterministic Cross-Silo Merging

Stop manually merging spreadsheets. datin natively understands that an additive formulation (Chemistry) and a friction test (Mechanical) belong to the same physical object. It automatically normalizes units and aligns results instantly, regardless of which department or robot generated it.

The Ask

Show me the mechanical wear-test results of all samples containing >5% Additive X.

Answered in 4 seconds
datin knowledge graph coloured by class — chemistry, mechanical testing and departments merged into one connected network with a FAIR Exporter
Superpower 02

Git-like Lineage & "Time-Travel" Provenance

Legacy systems overwrite data. datin operates with a capture-time semantic record. Trace the exact physical and digital provenance of any sample back to its inception. If a machine calibration error is discovered months later, simply branch the data — every downstream table updates automatically.

The Ask

This batch failed. Trace its exact history from mixture to Machine B.

Answered in 4 seconds
datin provenance graph tracing a wear-test sample from tribological experiment through its parent samples to data analysis, alongside the resulting data table
Superpower 03

Flexible Data Input and Programmatic Analysis

With the integrated coding environment and our SDK, imports and analyses can be done programmatically and accounted for as events, just like physical experiments.

The Ask

Analyze this data with the script developed by Rudy in 2018.

Executed on the knowledge graph
datin's integrated coding environment running a Python tribology friction-analysis script over stored inputs, with the resulting plot and terminal output recorded as an event
Bonus superpower

True FAIR data export — RDF in one click. Every record is mapped to open standards, so your knowledge graph leaves datin as portable, machine-readable RDF whenever you need it. No data lock-in, no export project.

Where the change begins

Don't have a Self-Driving Lab yet? That's exactly why you start here.

Autonomy is impossible without unified, machine-readable data. While you build out your robotic capacity, datin acts as the connective tissue for your human scientists today. By unifying your departments now, you are building the exact data foundation required for the AI agents of tomorrow.

Trusted by multi-department research institutions with robotic setups from Europe and the US.

Backed by
EXIST — funded by the German Federal Ministry for Economic AffairsEXIST programme
Startup BW pre-seed
The Scoped Pilot

See it on your own data.

Give us your messiest, cross-department data or your most complex robotic output. We will run a scoped pilot using your samples, your instruments, and your vocabulary. Running in weeks, not quarters.

Your samplesYour instrumentsYour vocabularyWeeks, not quarters
Book a Technical Demo
Dr. Nick Garabedian
Your pilot contact

Dr. Nick Garabedian

Managing Director & Chief Scientist, datin GmbH

Book time with Nick Garabedian