Embedded R&D engineering for life-science labs
R&D used to cost millions.Now it can cost a fraction.
We embed an engineering team inside your lab and rebuild your research as an automated digital pipeline — AlphaFold-grade in-silico work, end-to-end automation, and tools your scientists actually use.
10×+
more experiments per dollar — without hiring a single in-house engineer.
In-silico
AlphaFold · ESMFold · generative models
Automated pipeline
Sample → instrument → data → decision
Validated result
Reproducible · audit-ready · queryable
The problem
R&D is too expensive to keep running this way.
Bench cycles are not where the leverage is anymore.
The cost per result is rising, the science is harder, and the tools that should change the math — structure prediction, automated pipelines, ML-guided design — sit outside most labs' day-to-day.
Lab director
Every experiment costs more than it should.
Reagents, instruments, scientist hours. Most labs spend the majority of their budget on work a pipeline could replace — and pay it again the next time the same question gets asked.
PI / scientific lead
Your best science is bottlenecked by manual work.
AlphaFold, ESMFold, generative models — the science has moved. Most labs haven't. The questions worth asking sit behind weeks of bench time and one-off scripts.
Head of Computational Bio
Engineers who speak biology are nearly impossible to hire.
And the ones who exist don't want to be your only engineer. Every roadmap depends on a hiring search that takes quarters and rarely closes.
The solution
An embedded engineering team. A fully automated digital R&D pipeline.
We bring the people and the modern stack — and leave behind a pipeline your lab owns and operates.
What we embed
A cross-functional team that lives inside your lab.
- Senior engineers who speak biology
- ML / bioinformatics specialists
- Pipeline + infrastructure owner
- A scientific lead bridging both worlds
In-silico-first workflows
AlphaFold, ESMFold, RoseTTAFold and custom models running before any bench work — so the experiments that do run are the ones worth running.
Automated digital pipelines
Sample → instrument → data → analysis → decision, with no manual handoff. The same question asked twice never costs twice.
Quality and reproducibility built in
Versioned, validated, audit-ready. Every result reproducible from raw data, every decision traceable to the experiment that produced it.
Tools your scientists adopt
Pipelines that fit the way your team already works — not another dashboard they ignore. Adoption is the deliverable, not the demo.
The economics
What changes when R&D becomes a pipeline.
The same questions, asked the same way — at a fraction of the cost and an order of magnitude more often.
Metric
Traditional lab
With an embedded R&D pipeline
Metric
Cost per experiment
Traditional lab
Reagents, instruments, scientist hours — full stack, every time.
With an embedded pipeline
A fraction. Most cycles run in compute before any bench work.
Metric
Cycle time
Traditional lab
Weeks to months from question to answer.
With an embedded pipeline
Hours to days. The bottleneck moves from the bench to the decision.
Metric
Experiments per quarter
Traditional lab
Tens — capped by hands, hoods and instruments.
With an embedded pipeline
Thousands in-silico, with targeted bench validation on the best leads.
Metric
Failure cost
Traditional lab
High. Failed experiments burn reagents and scientist time.
With an embedded pipeline
Low. Failures happen in compute, not at the bench.
Metric
Knowledge captured
Traditional lab
In notebooks and in people's heads. Walks out the door.
With an embedded pipeline
In the pipeline. Versioned, queryable, compounding.
Labs that move R&D into a pipeline routinely run 10× more experiments for a fraction of the cost per validated result.
How we work
Embed. Scale. Maintain.
One engagement, three stages. We start inside your lab and stay long enough for the pipeline to be yours.
Embed
Our team works inside your lab. We map your workflows, identify the highest-leverage automation, and ship the first pipeline — in-silico models, data flows and the interfaces your scientists will live in.
Scale
We expand the pipeline across your R&D function: structure prediction, generative design, ML-guided experiment selection. Your team operates it alongside us until they own the day-to-day.
Maintain
A lighter-touch ongoing engagement. We keep pipelines running, ship new capabilities as the science evolves, and stay on call as your roadmap grows.
Why us
A team built around the science, not around a product to sell.
We don't ship a platform you have to bend your lab around. We embed, build what fits, and leave the keys.
Engineers who speak biology
Our team mixes senior software engineers with lab and computational-biology backgrounds. Onboarding to your science takes weeks, not quarters.
Modern stack, opinionated choices
AlphaFold, ESMFold, RoseTTAFold, Nextflow, Snakemake, PyTorch, modern cloud compute. We pick the stack that fits your science — and stand behind the pick.
You own everything
Code, pipelines, models, data, infrastructure. No vendor lock-in, no opaque platform. Transferable from day one and readable by whoever you hire next.
Built for reproducibility
Every pipeline versioned, every result re-runnable, every decision auditable. The opposite of a notebook on someone's laptop.
Questions
The things every lab asks before the first call.
Stop running R&D at last-decade prices.
Book a 30-minute call. We'll map your most expensive workflow and show you what the pipeline version would look like.