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Alfraido

Features

From old spreadsheets to AI-powered optimization.

An example. A concrete producer wants a C35/45 mix design with less embodied CO2 and as much strength as that allows.

Data

Start from your data, as it comes

Alfraido uses AI to extract and structure data from your spreadsheets and reports. It then uses it to build a private Machine Learning model, just for you and your team.

Team · Enterprise

  • XLSX mixes_2023

    24 trials

  • PDF lab_report_q3

    9 trials

  • PDF lab_report_q4

    5 trials

Project setup 38 trials imported

Variables

Cement
280 to 420 kg/m³
Slag
0 to 150 kg/m³
Fly ash
0 to 30 %
Water/binder
0.35 to 0.50
Superplasticizer
0.5 to 1.5 %
Coarse aggregate
950 to 1120 kg/m³
Fine aggregate
680 to 850 kg/m³

Objectives

CO2eq
Minimize
28 D Strength
Maximize

Constraints

Slump
≥ 120 mm

Optimization

Find improvement

Alfraido explores all possible mix designs, and uses your private Machine Learning model to find the ones that are most likely to achieve your objectives.

Round 1 · Suggested Ready to run
Trial Cement Slag Fly ash W/B Coarse Fine Strength CO2eq
39 360 40 15 0.42 1040 760 49.8 ± 2.6 311
40 345 60 20 0.40 1020 770 48.1 ± 3.0 299
41 330 80 22 0.39 1010 780 46.9 ± 3.4 289
42 375 30 10 0.44 1060 740 47.5 ± 2.2 323
43 320 100 25 0.38 1000 790 45.6 ± 3.9 281

Predict

Check mix designs before batching

Outcomes of mix designs can be predicted before batching. Each prediction comes with a 95% confidence interval, so you know when predictions are reliable and when more data is needed.

Prediction before batching

Cement 315 kg/m³ · Slag 90 kg/m³ · Fly ash 24 % · W/B 0.37 · Superplasticizer 1.1 % · Coarse 1010 kg/m³ · Fine 785 kg/m³

28 d strength

46.2 MPa (43.9 to 48.5)

C35/45

CO2eq

276 kg/m³ (270 to 282)

Slump

135 mm (118 to 152)

limit 120
Predicted against measured R² 0.88

Project Management

Hand out the trials

Alfraido offers a collaborative workflow, where mix designs become tasks for the team. You can then track workload and lab hours of your projects.

Team · Enterprise

Pending tasks 5 open
Task Assigned to Due Status
Batch T-39 A. Haddad Day 2 In progress
Batch T-40 M. Okafor Day 2 Pending
Batch T-41 L. Novak Day 3 Pending
Batch T-42 A. Haddad Day 3 Pending
Batch T-43 S. Petit Day 4 Pending
Team workload runs
A. Haddad 14
M. Okafor 12
L. Novak 9
S. Petit 8

Quality Control

Hold the result in production

T-51 becomes a product with its specification and bill of materials. Each batch is inspected against it, so a drift shows up in the data the model learns from.

Team · Enterprise

Inspection · C35/45 LC (T-51) Batch 25-031
Row 7 d strength 28 d strength Slump Air content
Specification ≥ 30 MPa ≥ 45 MPa ≥ 120 mm ≤ 3 %
Result 33.5 47.1 140 1.8
Inspections print as a PDF report and go back into the project as new trials.

Also in Alfraido

Other features and the plans that include them
Feature Free Team Enterprise
CSV import and export
Audit log
Single sign-on
Single tenant deployment
ERP Integration

The free plan needs no card. Start with your own trials.

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