Traditional ML platforms optimize for accuracy. But 95% accurate predictions can still lose you money.
Quantsynth optimizes for decisions that actually work.
Upload data. Get trained models. Deploy.
Three layers. One platform. No ML expertise required.
Traditional ML platforms optimize for accuracy. But 95% accurate predictions can still lose you money.
Quantsynth optimizes for decisions that actually work.
"I use it to validate if my models would actually make money in production, not just hit accuracy benchmarks."
"I don't code ML, but I can upload datasets and get model recommendations I can share with our dev team."
"FIS/CER metrics show if my forecasts would be profitable. Traditional metrics hide this."
"We use it to evaluate vendor models before we buy them. Do they actually reduce losses?"
"My LSTM had 92% accuracy but FIS score of 0.12. Quantsynth showed me it was getting direction wrong consistently. Switched to N-BEATS, now profitable."
ML Engineer, Trading Firm"Decision Intelligence saved me 3 weeks of trial and error. It told me exactly which models to try and which hyperparameters to start with."
Data Analyst, E-commerceFind out if your predictions actually worked.
Stop guessing which model to try.
Train recommended models automatically.
| Quantsynth | Scikit | AutoGluon | H2O | |
|---|---|---|---|---|
| Decision metrics | Yes | No | No | No |
| No-code interface | Yes | No | No | No |
| Model recommender | Yes | No | No | No |
| Works with existing forecasts | Yes | No | Yes | Yes |
Use Quantsynth if: You need decisions, not just accuracy.
Use AutoGluon if: You are technical and want full control.
Use H2O if: You are enterprise-first and have larger budgets.
Evaluation is free forever. Decision Intelligence is free in beta. AutoML will be pay-as-you-go when it launches in April 2026.
No. Just upload a CSV and Quantsynth handles the rest.
Metrics that measure whether predictions lead to good decisions, not just numerical closeness.
Yes. Evaluation works with any forecasts. Decision Intelligence recommends models, and AutoML is the training layer.
Upload your forecasts. See if they actually work. No signup required.