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Structify raises $4.1M seed to turn unstructured web data into enterprise-ready datasets
Brooklyn-based Structify emerges from stealth with $4.1 million in seed funding to transform how businesses prepare data for AI, promising to save data scientists from the task that consumes 80% of their time.
According to TechTarget research, data preparation typically involves a series of labor-intensive steps: collection, discovery, profiling, cleansing, structuring, transformation, and validation — all before any actual analysis can begin. His co-founder, Alex Reichenbach, encountered similar challenges while working at an investment bank, where data quality issues hampered efforts to build models on top of structured datasets. A recent MIT Technology Review Insights report found that four out of five businesses aren’t ready to capitalize on generative AI because of poor data foundations.
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