Question 1

What is Matflow?

Accepted Answer

Matflow is a web-based, AI-powered platform that accelerates chemistry and materials discovery and optimization. It turns small, sparse experimental datasets into actionable, high-potential candidates — validated against held-out data with every number reproducible. It is a no-code tool: you upload tabular experimental data and the platform handles the AI/ML in the background.

Question 2

How do I create an account?

Accepted Answer

Click "Get started" on the home page and fill in the registration form. New accounts require administrator approval before they can run jobs — you will be notified by email when yours is approved.

Question 3

What data format do I need to upload?

Accepted Answer

Matflow is optimized for tabular data and accepts standard CSV files (and Excel). Ensure the first row contains column headers and that missing values are empty or marked consistently.

Question 4

How much data do I need to get started?

Accepted Answer

The platform is specifically designed for the small, sparse datasets common in materials & chemistry research. While more high-quality data always helps, the generative models provide significant value even from tens of initial experiments.

Question 5

Where do I find documentation and tutorials?

Accepted Answer

The Documentation section covers every stage in detail, and the Tutorials section walks you through real workflows step by step. The in-app AI Copilot is also grounded in the docs and answers with citations.

Question 6

What is the four-stage pipeline?

Accepted Answer

Data Synthesis expands a small real dataset into a larger, statistically faithful synthetic one. Evaluation scores how well the synthetic data matches reality. Prediction trains an ML model to predict material or chemical performance from conditions. Optimization searches for new high-performance, low-cost candidates. Run each stage standalone, or chain them end to end on the Full Pipeline page.

Question 7

Can I run stages independently?

Accepted Answer

Yes — every stage runs standalone. Use the Pipeline page when you want a stage's output to flow automatically into the next.

Question 8

Which Data Synthesis mode should I choose?

Accepted Answer

Matflow Neural (conditional-GAN style) is the strongest default for larger, more complex datasets. Matflow Hybrid is often more stable on small samples. Matflow Statistical is fastest and the most defensible when rows number in the tens.

Question 9

How do I know the synthetic data is trustworthy?

Accepted Answer

Every generated batch can be scored with 20+ metrics — quality report, ML efficacy, dimensionality reduction, Privacy Shield and anomaly detection — before it is allowed to influence a model.

Question 10

What does the extrapolation flag mean on a prediction?

Accepted Answer

It means the input lies outside the region your data supports, so the model is guessing rather than interpolating. Treat flagged predictions as hypotheses to test, not numbers to trust.

Question 11

What are the plan limits?

Accepted Answer

Each tier has stated limits on jobs per hour, maximum file size, maximum row count, concurrent jobs and storage. All plans include the full pipeline — the limits reflect real infrastructure capacity, not artificial caps. See the Pricing page for the current numbers.

Question 12

How do I upgrade or change plans?

Accepted Answer

Go to Settings → Billing. Upgrades apply immediately; you can manage or cancel a subscription from the same page.

Question 13

What happens when I hit my quota?

Accepted Answer

Quota warnings are surfaced in the app before you run out, and requests that exceed the limit are rejected with a clear message. Limits reset hourly for job counts.

Question 14

I forgot my password — what now?

Accepted Answer

Use the "Forgot password" link on the sign-in page. You will receive a reset email; the link expires after a short window, and you can request a new one any time.

Question 15

How do I delete my account?

Accepted Answer

Settings → Data & account. Deletion deactivates the account immediately and permanently removes your data after 30 days — during that window, contact support if you change your mind.

Question 16

Is my proprietary experimental data secure?

Accepted Answer

Yes. Files are stored scoped to your account and never readable by another user's requests. See the Security page for the full model, and the Privacy policy for what is collected and retained.

Question 17

Is my data used to train shared models?

Accepted Answer

No. Every model Matflow trains for you is trained on your data alone, for your account alone, and is not merged into any global or shared model.

Question 18

Can I export my data?

Accepted Answer

Yes — Settings → Data & account lets you export a copy of your profile, dataset list and run history at any time.

Question 19

Should I paste sensitive data into the AI Copilot?

Accepted Answer

Copilot messages are processed by a third-party LLM API to generate responses. Do not paste anything you would not want to leave the platform.

Question 20

My job failed — where do I start?

Accepted Answer

Check the job's detail page for the error message: it states what happened, why, and what to do. The most common causes are incorrect column types, a target with no variance, or a dataset exceeding your tier's row limit.

Question 21

The upload keeps failing.

Accepted Answer

Confirm the file is CSV or Excel, the first row is a header, and the file is under your tier's size limit. Column headers should be unique — duplicate names are a common silent failure.

Question 22

Training is much slower than expected.

Accepted Answer

Ensemble training is single-threaded internally to avoid CPU oversubscription; a training run on a few hundred rows typically completes in minutes. Very large datasets plus heavy feature engineering is the main slowdown.

Question 23

Where can I report a bug?

Accepted Answer

The Contact page has a "Bugs / Issues" category, or use the in-app Feedback. Include the job ID if the bug is about a specific run.

How can we help?

Getting started

Workflow & stages

Accounts & plans

Data, privacy & security

Troubleshooting

Still stuck?