Build Data Products
at the Speed of Ideas
Use Generative AI and machine learning to build low-code
data products for advanced analytics challenges
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Bridge the gap between LLMs and enterprise analytics
Generate automated, personalized insights for your business problems to unlock unlimited possibilities
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Data to business outcomes: faster, and more efficient
Use low-code widgets to build tailored data products. Accelerate time-to-value by employing existing datasets and features to develop newer data products more efficiently.
Reliable data you can trust
Maximize accuracy and build trust with effective human supervision. Ensure data lineage tracking, auditability, and reproducibility with multiple observability tools.
Derive more value with contextual data
Build Generative AI products with Hedwig, Scribble's proprietary engine. Get expert answers, perform complex analytical tasks, and receive real-time recommendations through a customizable natural interface.
You own, you control your data
Securely host your private data either on-premise or on a virtual private cloud. Choose from a range of flexible deployment options for data products and LLMs that align with your privacy policy. Rest assured, all our solutions are SOC2 compliant, ensuring the highest standards of data security and privacy.
Customer Speak
Vidyotham Reddi
Director, Growth Analytics
Mars, Incorporated
"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."
Akbar Hussain
Co-founder & General
Counsel, Terrapay
"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."
Dileep Raman
Co-founder and Chief of
Healthcare, Cloudphysician
"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."
Peter Swaniker
CTO, The Room
"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."
Powering the future of intelligent decisions
Large Language Models 101: History, Evolution and Future
Imagine walking into the Library of Alexandria, one of the largest and most important libraries of the ancient world, filled with countless scrolls and books representing the accumulated knowledge of the entire human race. It’s like being transported into a world of endless learning, where you could spend entire lifetimes poring over the insights of […]
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4 Advanced Analytics Techniques to Improve Decision-Making
In today’s data-driven business landscape, organizations are constantly pressured to make faster, more informed decisions that drive better outcomes. According to Forbes, 53% of companies use big data analytics to take inform business decisions. An HBR study points out that companies that use data-driven decision-making are 6% more profitable than those that don’t. However, with […]
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How Data Products Can Help Overcome Data Consumption Challenges
Data has grown in importance as a commercial asset, with many companies investing considerably in data collection and transformation. Nevertheless, data collection is not the biggest challenge; what businesses do with it is. In the age of big data, another crucial difficulty is guaranteeing quality. Moreover, firms frequently face data management difficulties such as inefficient […]
Read MoreReady to make impactful decisions with Generative AI and machine learning?
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