Return on Investment (ROI)

Choose the case that matches your current bottleneck. Start with how PolyCore solves the digital data foundation, move to a product challenge, or describe your own case.

ROI case 1 · PolyCore data foundation

How PolyCore solves your digital data challenge

Estimate the hidden human labor needed to turn files, tabs, curves, scalar values, and plots into one reusable material-data foundation.

How many test files does your lab produce on a typical day?

Start with file volume. PolyCore applies the average manual data-rebuilding workflow model documented for the homepage impact section.

files/day

105,000

annual file volume

6,600

Loaded hourly cost

EUR 65/h

Conservative by design

The model assumes 3-6 minutes of manual work per file: find/export, open the workbook or PDF, identify relevant tabs, copy values and curve columns, normalize names/units, then rebuild plots. The 3-minute lower bound is deliberately tight; in real project handovers a single file often takes longer.

Audit-backed parser baseline

The parser baseline is based on 345 successfully parsed files. Successful parses averaged 126 milliseconds per file; 90% of successful parses finished within 230 milliseconds. The ROI model still uses 0.6 seconds per file to leave room for orchestration, storage, dataframe preparation, and plots.

files/year = files/day x 220

manual = files/year x 180-360 s

LIMS = files/year x 90-180 s

PolyCore = files/year x 0.6 s

PolyCore vs manual workload

Each PolyCore hour replaces300-600h

of manual data work. At this file volume, that equals 329-659 human hours per year (41-82 workdays).

Manual folders

180-360 s/file

330-660h

human work/year

annual burden: EUR 21.5K-42.9K

Classical LIMS

90-180 s/file

165-330h

human work/year

annual burden: EUR 10.7K-21.5K

PolyCore solution

0.6 s/file

automated processing/year

annual burden: EUR 72-72

PolyCore vs manual folders

329-659h

EUR 21.4K-42.8K

PolyCore vs classical LIMS

164-329h

EUR 10.7K-21.4K

Models are editable estimates. Actual savings vary by lab, energy mix, throughput, and process conditions.

Return on Investment (ROI)

Choose the case that matches your current bottleneck. Start with how PolyCore solves the digital data foundation, move to a product challenge, or describe your own case.