We’re excited to announce the launch of Synthefy’s Zero Shot Forecasting API - your gateway to the most advanced forecasting technology available today.
For the first time, you can directly access our generative AI models purpose-built for time series - no engineering team, no GPU cluster, no training pipeline required.
Time series forecasting drives critical decisions in every industry. Revenue and demand planning, supply chain optimization, energy load prediction, and financial risk modeling all rely on accurate forecasts.
For years, most models were univariate. They looked at one signal at a time and ignored the rich context around it. That limitation was not by choice but by necessity. The modeling tools of the past could not handle multiple interacting variables effectively. There was no reason to collect more data when the models could not use it.
Synthefy’s state-of-the-art† models change that equation. They are multivariate and metadata-aware, able to learn from many variables at once, and condition on external context like weather, events, financial indicators, and macroeconomic trends.
This means the more relevant data you bring, the better your forecasts become.
Data enrichment is no longer a nice-to-have. It is essential for getting the maximum value from our models. And it’s built into Synthefy API.
Large Language Models have revolutionized text processing, but time series is a fundamentally different modality. LLMs struggle with continuous numeric data, with diverse metadata formats, and with preserving structure when everything is forced into a single text stream.
In our tests, LLMs missed obvious spikes and failed to capture subtle but important trends.
Synthefy’s models are built from the ground up for time series. They are natively continuous and can integrate arbitrary metadata without lossy conversions. They are built on top of our universal metadata encoder - allowing a single model to work across domains.
Simply put, it’s the answer that time series needed. Use our models on Synthefy API.
We have made advanced forecasting radically simple: