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For R&D & Lab Science

Explore all your lab data in one place — with instant, reproducible results.

Ronja unifies experiment data, instrument outputs, and lab spreadsheets into reproducible, auditable insights. Perfect for material science, biotech, and R&D teams who need scientific rigor without data engineering.

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Discover which variables actually drive your results — with full reproducibility.

With Ronja:

  • Upload data from multiple experiment runs, instruments, and measurement sheets
  • Model variables: reagent lots, conditions, timing, equipment, operators
  • Surface correlations between parameters and outcomes automatically
  • Export reproducible analyses ready for peer review or internal reports

Compare batches, lots, or formulations side-by-side — and spot deviations instantly.

With Ronja:

  • Consolidate quality data across batches, lots, or production runs
  • Compare properties, purity, yield, or performance metrics
  • Detect outliers, trends, and specification deviations
  • Trace every result back to its source data

Compare formulations side-by-side and optimize composition for best performance.

With Ronja:

  • Analyze performance across multiple formulation variants
  • Identify optimal ingredient ratios and concentrations
  • Visualize distribution of results for each composition
  • Export findings for regulatory or scale-up decisions

Understand why experiments fail — and prevent it from happening again.

With Ronja:

  • Combine experiment logs, equipment records, and environmental data
  • Identify patterns linked to failed runs or out-of-spec results
  • Quantify which factors are statistically associated with failures
  • Build data-driven protocols to improve success rates

Accelerate your research with reproducible, traceable AI.

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R&D labs generate massive amounts of experimental data — from instruments, LIMS systems, and spreadsheets — but most of it remains siloed and underutilized. Ronja transforms this data into reproducible insights, helping scientists optimize experiments, track quality, and build defensible conclusions without writing code or waiting for IT.