Launching Q3 2026  ·  iOS & Android  ·  Voice-first ELN

Your lab's
memory,
in your pocket.

The first ELN built for the bench, not the desk. Talk through your experiment — Probe captures every qualitative detail hands-free and builds a permanent, searchable record your whole lab can query.

◎  Qualitative data capture by voice — the context every ELN has always missed
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Probe in action
Qualitative data capture ✦
Voice-first logging ✦
Zero extra steps ✦
Reagent lot tracking ✦
Works in gloves ✦
Plain language search ✦
iOS & Android ✦
Survives team turnover ✦
Built for the bench ✦
Qualitative data capture ✦
Voice-first logging ✦
Zero extra steps ✦
Reagent lot tracking ✦
Works in gloves ✦
Plain language search ✦
iOS & Android ✦
Survives team turnover ✦
Built for the bench ✦

Probe understands every kind of scientist

The problem with every ELN today  / why probe exists

ELNs capture what happened.
Not why.

There are two layers to every experiment. Quantitative data — the numbers, results, measurements — is well captured. Qualitative data — the conditions, deviations, lot numbers, observations, and intuitions that explain those numbers — is almost never recorded. Probe is the first ELN built to capture the layer that's always been missing.

80%
Of experimental context never logged
4yrs
Of knowledge lost when a postdoc leaves
0s
Extra steps at the bench with Probe
∞
Searchable lab memory, growing daily
How probe works  / three steps, none of them typing

Built for gloved hands
and active minds.

Step 1

Open Probe. Hit record. Start your experiment.

Talk the way you already talk at the bench — out loud, informal, incomplete. "Starting the western, same lot as last time, cells at passage 36, incubation's running long..." No formatting. No templates. No extra steps.

Step 2

Probe extracts and structures everything.

Reagent lots, passage numbers, timing deviations, qualitative observations — Probe identifies every meaningful entity and structures it automatically. Review a 10-second summary. Not a form.

Step 3

It becomes your lab's permanent qualitative memory.

Every experiment builds a queryable record. Ask in plain language: "Why did our BRCA1 assays underperform last quarter?" Probe knows — even after the person who ran it has left the lab.

Who it's for

The scientist at the bench at 11pm.

Not the informatics team. Not IT. You're running 80% of the experiments. You shouldn't also be the archivist. Probe captures everything as you go — so six months from now, when a paper comes back for revision and the person who ran the experiment has graduated, the answer is still there.

The qualitative layer  / what probe captures that no ELN does

The context behind
every result.

✗  What your current ELN misses

The qualitative layer — lost forever

✗
Reagent lot numbersAlmost never logged. Responsible for most unexplained result variability.
✗
Protocol deviationsThe incubation that ran 20 minutes long. The temperature that drifted. Gone.
✗
Environmental conditionsPassage number, cell confluency, lab temperature, time of day — never recorded.
✗
Researcher observations"The cells looked stressed." "The antibody seemed weaker." Irreplaceable intuition, lost.
✗
Cross-experiment connectionsExperiment 47 failed for the same reason Experiment 31 did. Nobody connected them.
✓  What Probe captures automatically

The qualitative record — searchable forever

✓
Lot numbers extracted from speech"Same lot as last time" becomes a linked, searchable entity in the experiment record.
✓
Deviations logged as they happenNot reconstructed hours later from memory — captured in real time as you speak.
✓
Conditions captured without effortPassage, confluency, temperature, timing — extracted from natural speech automatically.
✓
Observations preserved verbatimThe hunch, the concern, the "this felt different" — all stored and searchable months later.
✓
Cross-experiment memoryAsk why experiment 47 failed. Probe connects it to experiment 31 automatically.
Where probe is going  / the full vision

Qualitative today.
The full picture tomorrow.

Phase 1 captures the qualitative layer no ELN has ever recorded. Each phase builds on it — adding quantitative data, predictive intelligence, and ultimately a synthetic model trained on real experimental history.

Phase 01
Launching Q3 2026

Qualitative capture

Voice-first logging of qualitative experimental data — the conditions, deviations, lot numbers, and observations that every ELN misses.

Voice recording at the bench
Qualitative entity extraction
Cross-experiment memory
Plain language search
iOS & Android
1
Phase 02
Coming next

Quantitative integration

Real numerical data from instruments integrated alongside the qualitative record — connecting the what to the why for the first time.

Instrument data ingestion
Quantitative + qualitative linking
Data pills & dashboards
Anomaly detection
Pre-experiment guidance
2
Phase 03
Long term

The advisory brain

A model trained on your lab's complete experimental history that advises before, during, and after every experiment — and eventually designs them autonomously.

Pre-experiment predictions
Real-time anomaly alerts
Post-experiment diagnosis
Synthetic experiment model
Auto-generated publications
3

Be first to shape
what we build

We're onboarding a small cohort of research labs now. Early access members get dedicated onboarding and a direct line to our product team.

HarvardStanfordCMU ColumbiaJohns HopkinsGeorgetown

We'll reach out within 3 business days. No credit card required.

🎉

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We'll be in touch within 3 business days with your early access invite.

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