The pipeline you need,
built by someone who gets your data.

AI Research Operations · Biomedical Labs

Most consultants speak either AI or biology. Laminar speaks both — and writes the code. Wet lab fluency, quantitative training, and hands-on pipeline experience, available to your lab.

Book a call → See what we do

1

Image analysis automation

QuPath pipelines, histology segmentation, morphometry automation. Reproducible, annotated workflows — not a one-time script. Already deployed on MOVAT-stained sections for atherosclerosis lesion quantification.

$100 – $175 / hr · project-based
Microscopy tissue cross-section

2

Data pipeline + statistics

R/Python pipelines for messy lab data — logistic regression, count models, survival analysis, mixed effects. Biomedical PIs hate this work. Laminar doesn't. Retainer-friendly for labs with ongoing data needs.

$95 – $150 / hr · retainer-friendly
Hands with flowing water streams

3

AI literature synthesis

Grant background sections, systematic literature reviews, figure generation. What takes a grad student two weeks, Laminar delivers in four hours — structured, cited, and written in your field's register.

$750 – $3k / project · grant-season demand
Aged text on paper

4

Lab AI strategy workshop

A 2–3 hour working session to map where AI actually applies to your research — and where it doesn't. You leave with a prioritized roadmap and a clear first project. The door-opener that feeds longer engagements.

$1,200 – $2,500 / session · door-opener
Multi-channel pipette

Why Laminar

Research background

Cardiovascular biology at UVA's Sonkusare Lab — TRP channels, calcium signaling, atherosclerosis. Real bench experience.

Quantitative training

Neuroscience + Statistics at UVA. Logistic, Poisson, NB regression. R and Python daily.

Clinical fluency

Certified EMT. We understand clinical data, patient-facing context, and translational stakes — not just the bench.

Builder, not advisor

We ship tools that non-developers actually use. Strategy is step one, not the deliverable.


How it works

1

30-min scoping call

You describe the problem, we ask the right questions. We figure out if there's a fit and what a scoped engagement looks like — no pitch deck, no sales cycle.

2

Proposal + quote

Within 48 hours, you get a plain-language proposal: what we'll build, what you provide, how long it takes, what it costs. Fixed-fee for projects, hourly for retainers.

3

Delivery + handoff

Code is documented. Pipelines are annotated. You or a grad student should be able to re-run everything six months from now without calling us. That's the standard we hold.


Have a dataset that's been sitting there? Let's talk.

Book a call →