Instruments emit one format. ELN holds another. LIMS yet another. Datasets live on a shared drive nobody trusts. Pipelines run somewhere a former postdoc set up. Half the day is data wrangling. The other half is grant admin. The discovery happens in the cracks.
Federal grant PIs report 42–44% of research time on admin compliance.1
Nature 2016 survey of 1,576 researchers. Reproducibility crisis is structural — not theoretical.2
Loading and cleaning data, before any modeling. Anaconda 2021 State of Data Science.3
Every lab has one. The handoff that breaks every project. Quandry solves for it.
Three things, done precisely. LIMS, ELN, instruments, datasets, pipelines, grants, IRB/IACUC: we build the integration layer that makes them operate as one. Reproducible by default. Audited by default. Designed for the way researchers actually work.
The integration layer between LIMS, ELN, instruments, raw data, processed datasets, and citation systems. Standard formats where they exist. Clean, audited bridges where they don't.
Data ingest, normalization, QC pipelines, reproducibility containers, grant-reporting workflows. Every spreadsheet-and-script-in-a-folder process, replaced with versioned, audited automation.
AI-assisted literature review, hypothesis generation, experimental design copilots, paper-draft scaffolding. The 45% of your day on data prep and admin, automated — so you spend your hours on the science.
A deliberate four-phase engagement. 14–22 weeks end-to-end. Every phase ships a written, signed artifact before we move forward, so you always know what you're paying for.
Interviews with PIs, lab managers, IT/research computing, grants admin. Architecture review of LIMS, ELN, instruments, storage, compute. Current-state diagram of every dataset and pipeline.
The gap analysis. Where data goes dark between instruments and analysis. Where reproducibility breaks. Where grant reporting eats a week per quarter. The unknown variable, named and priced.
Integration layer built, pipelines containerized, AI copilots tuned to your domain, grant workflows automated. Staged rollout with one lab or service line first.
Lab-wide cutover, training, 30-day hand-on-the-wheel period, then a signed runbook and a support retainer, or full handoff. Your call.
We take on a limited number of enterprise engagements per quarter. These are the teams we're built for.
PIs and core facility leads buried in admin compliance, with data scattered across instruments, drives, and ten years of postdoc-curated scripts.
Pharma, biotech, and corporate R&D groups who need reproducibility, audit trails, and AI-augmented analysis without disrupting how scientists work.
Research computing and IT teams supporting hundreds of PIs across heterogeneous tools. The integration layer that scales with your researcher base.
Book a 30-minute discovery call. We'll map your lab, identify the gaps, and show you exactly what Quandry closes, before you sign anything.
