Backed byCombinatorLearn more
ProblemHow it worksIntegrationsFAQ
VALIDATION5 errors·4 warnings
Compilation0s
Reading protocol…
RT-qPCR · Gene ExpressionEditing…

Set up the RT-qPCR plate at a 2× master-mix

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A preview, a representation of the Infera workspace. For the fuller picture of what the platform does, watch our product demo on YouTube

// An AI-native compiler for the lab

The operating system for your laboratory.

Infera turns an experiment you describe in plain English into a validated, instrument-ready run, on the instruments you own, or by hand at the bench.

See how it works

Prefer to talk first? Book a 30-min call

// problem

Your instruments aren't the bottleneck. Getting a run onto them is.

Labs hold millions in instruments that sit half-idle. Not because the hardware can't do the work, but because every run takes days of proving (by hand) that a protocol written for a person will actually run on the machine.

An AI can write the instructions (code or procedure) in seconds. But writing them was never the hard part. On real hardware, a wrong guess ruins the sample, so the real work is proving the run is physically possible, running it, and capturing data you can trust. That's what Infera does in your lab.

Written for a person, not a machine.
// how it works

The model only reads. The rest is .

Deterministic means fixed and checkable. The same description always compiles to the same run.

Plain English
what you want
Type it, paste your methods, or say it out loud at the bench.
Parse
reads intent
Validate · Compile
checked + reproducible
Execute · Audit
runs on your instruments
Analyze
data, read in context
AI reads
01
Plain English
what you want
Type it, paste your methods, or say it out loud at the bench.
02
Parse
reads intent
Deterministic
03
Validate · Compile
checked + reproducible
04
Execute · Audit
runs on your instruments
05
Analyze
data, read in context
// what you get

Less time. Less waste.

Infera fills every gap and shows you each fix before it runs. Nothing changes without your sign-off. From there it optimizes the run for less waste and faster runs start to finish.

When the run finishes, it pulls the data off the instrument and hands you a first read, already knowing the protocol that made it.

Pre-flight check · RT-qPCR 9 caught
Deck & labware resolvedauto
Tip racks, plates, and reagents mapped to the deck automatically.
Tip collision at A4fixed
The path would have crashed mid-run. Rerouted before a tip moved.
Volumes checked vs. inventoryok
Every step has enough reagent on hand. Nothing starts short.
Deck repacked for fewer tip changessaved
Reordered the layout to cut 12 tip changes and ~8 min off the run.
9 issues caught and fixed before a reagent was spent.
// at the bench

Even the parts you do yourself.

Infera spells out every setting and has you confirm it before the run, so you're never guessing at the dial.

Not every step runs on a robot. Some you do by hand, like pipetting, gels, and fermentation. Some you run on instruments you operate yourself, like a centrifuge, a vortex, or a plate reader. Infera walks you through all of it: what step you're on, what goes where, what to set, and what to confirm before you move on.

So a person at the bench never leaves a blind spot in the run.

Manual stepsat the bench
Step 14 of 22operator-run
Add 600 µL ethyl acetate:cyclohexane, invert to mix
Step 09 of 22operator-run · instrument
Spin plate A1 at 3,000 g for 5 min, 4°C
Logged to the run record automatically.
And it stays with the lab

Validated before it runs

Dead ends, timing conflicts, and deck collisions surface at compile, not halfway through a run.

Reusable by anyone

Every validated run becomes a template anyone can rerun against live inventory. When someone leaves, the protocol and how they ran it stay behind.

Every version, every run

The full edit history of a protocol lives in one place, and every run is logged and signed. Pull up any two and see exactly what changed, and why.

// integrations

One interface, not one platform.

Your instruments, any vendorLab Mode

Every instrument ships its own closed software, and your lab runs a mix. Infera is hardware-agnostic. One interface to connect whatever you own, across the full range of instruments and every vendor.

Liquid handlers
Plate readers
Mass specs
Thermocyclers
Centrifuges
Connects to your stack
ELNs & docsConfigure

Sync from Benchling, PDFs, Google Drive, Dropbox, wherever your research lives.

Data ConnectorsConfigure

Auto-detect instrument format, map columns, set QC thresholds.

Infera GatewayConnected

Auto-upload from the instrument PC. No manual export.

AlertsConnected

Email, text, or Slack the moment a protocol fails validation.

InventoryConnected

Track reagents and consumables, flag low stock, and reorder before you run short.

// FAQ

The honest answers.

Everything a lab usually asks before working with us. The short version.

No. The AI only handles the first step: turning your plain-English protocol into a draft. Everything after that is deterministic, with validation and a full simulation before any instrument moves, and nothing runs until you approve it.

The model proposes, the pipeline checks, you sign off.

No. Infera runs on the instruments you already have, like Opentrons, Hamilton, and Tecan. We translate your protocols into the scripts each one expects. Nothing to buy, nothing to rip out.

That's fine, and it's a great place to start. Infera captures your protocol logic whether a person or a robot runs the step, so you get standardized, validated SOPs and a clean record of every run today.

When you're ready to automate, the path is already there. No pressure to change how you work first.

Most tools make you rebuild your protocols in their format and learn their interface. Infera works the other way around: you write what you'd write for a colleague, and we handle the vendor scripts, the deck layout, and the validation.

Less platform to migrate to, more translator for the tools you already have.

Fair question. That's exactly why we work hands-on with each lab. You get direct access to the people building Infera, your feedback shapes what we build next, and nothing runs on your instruments without you reviewing the simulation first.

Being early means you're not customer ten thousand. You're shaping the product.

Yes, and it's core to how we built this. Every run is logged end to end, from the original protocol to what actually happened on the bench.

You get a complete record you can hand to QA, an auditor, or future-you trying to remember what you did six months ago.

Your data belongs to you, and we treat it that way. The audit trail and system-of-record layer are built for regulated environments, so the record-keeping that helps your team also supports compliance. We have specific data-handling policies depending on your plan and setup, so we'd be happy to walk through the details for your team.

It stays with you and compounds. Every protocol becomes part of your lab's record, so knowledge that usually lives in one person's head becomes searchable, reusable, and easy to hand off.

When someone leaves, their work doesn't leave with them.

It depends on your lab's size and usage. We have tiers built to keep this accessible, from a small academic lab to a production facility. Tell us about your setup and we'll find what fits.

Right now: core facilities, diagnostic labs, and production labs, mostly around Boston and the Bay Area. If you run a lot of protocols across different instruments, you're probably a good fit.

We go fast. We'll be in the lab with you and get things working in less than a few weeks, shorter if you can spend more time with us.

You won't be handed a login and left to figure it out. We do this with you.

Reach out and we'll set up a short call. We'll look at a protocol or two you already run, show you what Infera does with them, and figure out together if it's a fit. No big commitment to start.

Bring Infera to your lab.

Harvard + Caltech team, YC P26, out to bring real automation to every wet lab. If your team burns time turning protocols into machine code, let’s talk.

Prefer to talk first? Book a 30-min call