Olto turns a plain-language goal into a publication-structured first-draft protocol, scores it against seven deterministic reproducibility signals, and gives it a public protocol page with a stable, citable permalink. Then run it, log evidence, and do your statistics in one place. $79 a month — where enterprise lab platforms typically cost several thousand dollars a seat, per year. Built for independent researchers, students, and small teams who need a serious platform without the enterprise price — or the enterprise sales call.
Illustrative example — a scripted preview (7 of the 12 sections shown), not a live run. Try it on your own goal below.
The whole research arc in one connected workspace. Each step feeds the next (linked, versioned, and auditable) so you retype far less and keep an audit trail.
Tell Olto your goal in plain language.
A full, rigor-scored protocol in under a minute.
Edit it as a drag-and-drop step graph.
A guided session logs findings + evidence.
Real stats, computed in your browser.
Grounded literature, with AI you can check.
A signed PDF + a public Reproducibility Passport.
Not an AI opinion — a deterministic rigor score across seven reproducibility signals: controls, replication, sample size, statistics, quantitative parameters, randomization, and safety. Run the same protocol through it twice and the number is identical. It gets a public URL and a citation string, and there's no login to read it. There are 104 live in the open library right now.
Olto distills any protocol to its canonical experimental form — units normalized to SI, methods and controls extracted — and content-addresses it into a single stable, recomputable id. Same science, same fingerprint, however it's worded. Deterministic, no AI.
Add 5 mL DMEM. Incubate at 37 °C for 30 min. Untreated controls, n=3. Analyze by t-test.
Pipette 0.005 L DMEM. Incubated at 310.15 K for 1800 s. Vehicle control, n = 3. Student's t-test.
rpf_p78hs7mthhhmz409jx0kacfby8Identical experimentLike Olto's statistics workbench and notebook Python, the fingerprint is computed entirely in your browser — your rawest data and protocol text never have to leave your machine.
Every public protocol carries four design-quality scores from its AI review — feasibility, controls, reproducibility, and clarity. Here's how the open library actually distributes, aggregated live from what scientists have published. (The deterministic seven-signal rigor score, which no AI touches, lives on each protocol's passport.)
A protocol in a Word doc, stats in SPSS, inventory in a spreadsheet, papers in Zotero, decisions in a chat thread — nothing connects, nothing is traceable, and rigor only gets checked when a reviewer can't repeat your result. Asking a general model just moves the retyping around. Here's the difference, line for line.
One connected platform for the whole of experimental research — design, run, analyze, document, and collaborate, for life sciences and engineering alike. Everything below is included on paid plans. AI calls are metered; storage scales by plan; features are not.
Flip from the life-sciences lab to the engineering lab and the navigation, terminology, and tools adapt. The engineering side is deterministic all the way down: every number shows its formula, runs in your browser, and is unit-tested against the published standard. No AI anywhere near the result — and it's never metered.
The block notebook works in both modes: drop a deterministic calc inline beside your Python, sign it, export. Read the engineering docs →
Describe a goal, get a 12-section, publication-structured first-draft protocol in under a minute, scored on feasibility, controls, reproducibility, and clarity. Edit inline, export to PDF, fork to anyone.
A tool-using assistant that searches your own protocols, papers, and inventory, and can run a statistical test, answering grounded, with citations and an audit trail.
A block-based electronic lab notebook that runs Python in your browser. Run a t-test, get a matplotlib figure inline, then sign, version, and export the entry to PDF.
Run real t-tests, ANOVA, correlation, regression, and non-parametric tests entirely client-side, so your raw data stays in your browser unless you choose to save or export it. Effect sizes, CIs, and plots included.
Execute any protocol as a step-by-step session. Per-step timers, pass/fail/deviation logging, findings and evidence captured as you go, then a session-report PDF.
A reference manager with collections, full-text search, Ask-AI Q&A grounded on a paper, multi-paper synthesis, and 13-style citation export.
Order lab tests, track results, auto-flag against reference ranges, release a Certificate of Analysis, and invoice. On Lab plans and up.
Deterministic computer vision in the browser: lane densitometry and cell counting. The numbers are yours; AI is used only for QC.
Map an experiment to the ISO, ASTM, USP, and ICH standards it should meet, and surface them right on the protocol.
Presence, live cursors, and inline comments. Co-edit protocols and projects with version history and approvals.
Track stocks, expirations, locations, suppliers, and lot numbers with a full transaction ledger. Get warned before you run out, not after.
Browse rigor-scored protocols other scientists published. Fork any one to start from something real, and put your name on yours.
Start free, no card. AI is metered; on paid plans everything else is unlimited (free Explorer includes 5 protocols).
We built Olto because we wanted to use it. The alternatives were either too expensive or too narrow. This comparison is made in good faith. If something looks wrong, tell us and we'll fix it.
These are specific, checkable capabilities that set Olto apart — each one is in the product today, not a roadmap promise.
For context, enterprise lab platforms typically cost several thousand dollars per seat per year; Olto publishes its pricing openly at $79–$499 / month. The tools below serve overlapping but different jobs — here is a neutral one-line description of each.
Competitor capabilities and pricing were reviewed on July 2026 and may change; verify current information directly with each provider. This comparison is made in good faith. If something looks wrong, tell us at support@oltodiscovery.com and we'll fix it.
Your statistics and notebook Python run in your browser, so sensitive data can stay on your machine; everything else is encrypted in transit and at rest and isolated per-tenant by Postgres row-level security. See exactly what we do (and don't) claim →
Generate a real, rigor-scored protocol right now. No account, no card, no demo call. Then keep it free.