Alfraido learns from your experimental data and predicts the formulations most likely to hit your targets.
You don't change how you run your experiments. But instead of dozens of trials, you reach results in just a few.
training on your data
Set up your Project
Define your ingredients (variables), what you're trying to achieve (objectives), and any limits you can't cross (constraints).
Takes 5 - 10 mins
Log Trial Results
Add results as you run them. Your whole team can contribute. Every result sharpens the next prediction.
Predict the Next Best Trials
Alfraido predicts outcomes for untested formulas and finds the ones most likely to improve your objectives.
AI Assisted
Optimization Loop
confirming through lab testing
01 Set up your Project
Define your ingredients (variables), what you're trying to achieve (objectives), and any limits you can't cross (constraints).
Takes 5 - 10 mins
Optimization Loop
02 Log Trial Results
Add results as you run them. Your whole team can contribute. Every result sharpens the next prediction.
training on your data
03 Predict the Next Best Trials
Alfraido predicts outcomes for untested formulas and finds the ones most likely to improve your objectives.
confirming through lab testing
Bring your team, structure your data, and put machine learning to work without hiring a data scientist.
Alfraido shows predicted outcomes alongside confidence levels. You can see where the model is reliable and where more data is needed.
When multiple objectives matter, Alfraido finds the best trade-offs (ie. Pareto front). You decide which one fits your priorities.
Set limits on inputs and outcomes. Alfraido only recommends experiments that meet your constraints.
Invite your team, and collect data in a collaborative and structured workflow. Every interraction and test run is stored and searchable. Nothing gets lost in email threads or personal notebooks.
Imagination is the only limit.
Cement
Balance clinker factor, SCM substitution, and grinding aid dosage against strength and water demand.
Concrete
Proportion binder, aggregates, and admixtures for strength and workability at lower cost and CO₂.
Paints
Hit hiding power, gloss, and flow while balancing pigment loading, VOC, and cost.
Specialty Chemicals
Uncover hidden relationships between your formulation parameters and the performances you want to achieve.
| Plan |
Free
$ 0 per month Get started |
Team
Best value
$ 149 per team / month Get started |
Enterprise
Custom talk to us |
|---|---|---|---|
| Projects | 3 | Unlimited | Unlimited |
| Teams | 1 | Unlimited | |
| Collaborators | 5 | Unlimited | |
| Objectives per project | 2 | 10 | Unlimited |
| Trials per project | 30 | 1,000 | Unlimited |
| Constraints on parameters per project | 1 | 10 | Unlimited |
| Constraints on outcomes per project | 1 | 5 | Unlimited |
| Trial recommendations | |||
| Outcome prediction | |||
| Model accuracy and sensitivity | |||
| CSV import and export | |||
| Seconds of model training a month | 200 | 10,000 | Unlimited |
| Automatic document reading a month | 20 | Unlimited | |
| Quality control module | |||
| Optimize from quality control records | |||
| Tasks, workload and expenses | |||
| Audit log | |||
| Single sign-on | |||
| Single tenant deployment | |||
| Onboarding and data integration |
Not at all. Alfraido handles all the modelling for you. You supply the experimental data; Alfraido does the maths and surfaces the results in a way that makes sense for a formulator, not a data scientist.
Yes. You can upload a CSV file and map columns to your variables and objectives. If you have years of historical data sitting in a spreadsheet, that's a great starting point for the model.
Alfraido works for any formulation or blend development where you're adjusting ingredient ratios or process parameters to hit target properties — coatings, adhesives, cosmetics, food products, construction materials, specialty chemicals, and more.
The model improves with every data point, but it can start making useful suggestions with as few as 5–10 runs. You can also seed it with historical data to get a head start.
Your formulation data is private to your account and never used to train shared models. We store data securely and never share it with third parties.
Aug 25, 2026 · Features
Alfraido is a machine learning engine, a data structuring and a lab collaboration platform. It is not a conversational assistant, and it is not a wrapper around a large language model.
10 min read
Aug 23, 2026 · Features
Training a machine learning model always requires one step that comes before everything else: data cleansing. An algorithm cannot be fed raw material. It needs data organised in a fixed way: one observation per row, one variable per column, consistent units, consistent naming, missing values declared as missing rather than left as empty cells or placeholders.
2 min read
Jul 19, 2026 · Optimization & R&D
A formulator should not have to become a trained data scientist to harness the full power of machine learning. You should not need to know what XGBoost, a neural network, or a random forest is to get results.
4 min read
No credit card needed. Set up a project, import your data, and see what the model thinks — in less time than it takes to plan your next batch.
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