that bottlenecks benches
Four stages of R&D, each with its own bottleneck — and its own kind of automation. Tell us where you're stuck, and we'll design the loop that gets you to the next stage. You don't need to know anything about robotics to start that conversation — that part's on us.
Bring a hypothesis or a validated method. We stand up the loop wherever you are on the arc and carry it forward.
Generate at volume
Right now, your bench can only run so many experiments a week — but your questions don't stop there. We build the loop that runs overnight, unattended, and captures everything in one clean, structured format as it goes.
Automation examplesDoE-driven plate design · parallel synthesis and formulation arrays · high-throughput screening · integrated scheduling across arms, handlers and readers · unattended overnight cadence · capture at instrument
Scope this stage →Converge on a candidate
Right now, a single cycle takes weeks because design, execution, and analysis all sit in different hands. We close that loop — the fewer cycles it takes to reach a candidate, the less the whole program costs you.
Automation examplesclosed-loop DBTL · active learning and Bayesian optimization over the parameter space · automated condition generation and re-plating · inline analytics · run-to-run schema continuity
Scope this stage →Reproducible before it's expensive
A method that only works for the one person who built it, on the one instrument they built it on, won't survive a second site, a new hire, or a filing. We lock it down while it's still cheap to fix — not after.
Automation examplesrobustness DoE · method development and qualification · IQ/OQ/PQ · SOP lock · control charting · calibration and drift monitoring
Scope this stage →Move it without rebuilding it
Transfer is usually where all that hard-won knowledge quietly disappears, and the new site ends up rebuilding it from scratch. What we hand off is a real package — SOPs, schema, run history — not a meeting where someone explains how it used to work.
Automation examplesscale-down models · process characterization · transfer package of SOPs, schema and run history · site-to-site requalification · pilot-scale operation
Scope this stage →Stages 01–03 run today. 04 is scoped and specified; talk to us about timing.
| Stage | Life sciences | Industrial & materials |
|---|---|---|
| Data factory | Compound and target screening, NGS library prep | Catalyst, additive and enzyme screening |
| Prototype iteration | Hit-to-lead, cell line development | Electrolyte, coating and catalyst optimization |
| Method lock | Assay and bioanalytical method validation | Process chemistry, analytical QC |
| Tech transfer & scale | Bioprocess, CMO handoff | Specialty chemicals, pilot manufacturing |
AI-ready by default
Every instrument event, sample, and result gets captured the same organized way, automatically, the moment it happens — no cleanup pass, no exports to reconcile later. It's stored, versioned, and ready to query whenever you need it. And it's yours: the corpus, not just the summary.
not a build
The traditional path spends most of a year just assembling the capability — before a single experiment runs. We design the loop around your protocol and have it validated and running in under 90 days, on instruments you can actually own.
Running the loop is its own product, not an afterthought. The first 90 days are for design and build; after that, we can operate the loop for you at full throughput, or train your team to run it themselves. Either way, when to make that call is up to you — not something we hand you and walk away from.
THE ROUTES
What you get, and don't, from each route. The value is in showing which attributes each one structurally cannot deliver.
| Cloud lab | Core facility | CRDMO | RIVT//LABS | |
|---|---|---|---|---|
| Workflow built to your protocol, not a fixed menu | ✕ | ◐ | ✓ | ✓ |
| Instrument choice driven by your workflow, not their inventory | ✕ | ✕ | ✕ | ✓ |
| You own the instruments at the end | ✕ | ✕ | ✕ | ✓ |
| You keep the validated method and SOPs | ✕ | ✕ | ✕ | ✓ |
| Your staff trained to run it | ✕ | ✕ | ✕ | ✓ |
| Data model-ready under one canonical schema | ◐ | ✕ | ✕ | ✓ |
| Dedicated capacity, not shared scheduling | ◐ | ✕ | ✓ | ✓ |
| Stop after any stage, no annual minimum | ✕ | ✓ | ◐ | ✓ |
| Runs on your site | ✕ | ✕ | ✕ | ✓ |
| Capability retained when the engagement ends | ✕ | ✕ | ✕ | ✓ |
✓ yes · ◐ partial or conditional · ✕ no
Marks reflect the structural and contractual characteristics of each category — not any specific vendor's current offering.
Your Instruments // Your Method
It's a clean split. Everything that's yours stays yours; we carry everything it takes to run the loop.
Everything you discover belongs to you, full stop. We run the automation — the science is never ours to touch.
Every result is captured the same organized way the moment it's generated, not cleaned up after the fact. Pull it, audit it, hand it to your own team — it's yours, full stop.
We pick the instrument that fits what you're trying to do, not the one that pads our number. Lease it, buy it over time, or own it outright — whatever works for where you are.
When we're done, the validated loop, the SOPs, and a trained team all stay with you — whether you keep us running it or take it over yourselves. And because every stage stands on its own, you're free to stop after any one of them.
at the end of each phase
Five phases. Every one is independently sellable — stop after any one and you keep everything produced up to it.
We align everyone involved on the plan, lock the scope, and get operations ready to start.
We stand up the workflow, deploy the SOPs, and validate pricing against your first real R&D loops.
We rehearse a full milestone delivery and validate the protocols against benchmark.
We run the full loop at throughput, proving reproducibility across repeated cycles.
We consolidate what we've learned, finalize the playbooks, and set the plan for expansion.
Roughly nineteen months end to end at full scale, though most of that is Phase 3. Every phase is independently sellable — stop after any one and you keep everything produced up to it.
Build science
differently.
Tell us where the science is stuck. We'll scope the loop, name the instruments, and tell you exactly what it takes to get it running.