We are announcing our $6.5M seed round led by @Wing_VC, with @haystackvc, @samsungnext, Canonical @ai, @LightscapeVC, and angels from OpenAI, Microsoft, and Meta.
We started Synthefy around a simple observation: most data that runs the economy is not text. It is transactions, sensor readings, trades, inventory, customer records, and time series.
Yet every prediction problem built on that data, from forecasting and fraud detection to pricing and predictive maintenance, still requires a bespoke pipeline and months of data and ML work.
We are building foundation models for structured data to change that.
Our first model, Nori, puts predictive capability into its pretrained weights, so customers do not need to train and maintain a separate model for every dataset and use case.
Our mission is to give customers predictive answers from their structured data that they cannot get from today’s tooling, 100× faster and at one-tenth the cost of bespoke ML.
We are grateful to our team, early users, and investors for believing in our mission.
Try Nori at synthefy.com/product/tabular.
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