Go from Data to Decisions, 5x Faster

"We found that the Scribble Data team understood our needs and pace as a fast-growing company, and were able to slot their Enrich feature store into our infra seamlessly. As a result, we were able to start ingesting data from our various sources, and delivering first cut models, with a lean team, much faster than we thought possible."

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Peter Swaniker

CTO, The Room

"Working with large, disparate data sets that are captured at different points in time is never easy, especially when it’s for business-critical tasks. With Scribble Data, that’s no longer a challenge for us as it gives us access to reliable data with a high degree of auditability. It also significantly reduces our reliance on the central engineering team – so our bandwidth is freed to focus on solving business problems and use cases instead of infrastructural issues."

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Vidyotham Reddi

Director, Growth Analytics
Mars, Incorporated

"Scribble Data’s engineering platform allowed us to translate our transaction overwatch ambitions into a self-improving data product. As a transaction-size-agnostic platform, our ability to foster financial inclusion rests directly on our ability to scale compliance outcomes. TIP pinpoints AML/CTF analysis., allowing us to spin up widgets for datasets, thereby making previously unsolvable problems solvable."

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Akbar Hussain

Co-founder & General
Counsel, Terrapay

"Scribble Data’s Enrich platform allowed us to rapidly build pipelines to transform our data into patient time-series indicator datasets and to predict adverse outcome events. Enrich’s data-focused features like schedulable versioned pipelines, intermediate data frame checkpointing, rich media knowledge base and lineage tracking meant that we went from raw data to daily updated feature sets and models that we could trust in 4 weeks."

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Dileep Raman

Co-founder and Chief of
Healthcare