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 Hasper, 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."

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

LLMs for data classification: How Scribble built SADL for achieving breakthrough accuracy
Modern-day organizations are generating vast amounts of data that hold immense potential for making informed decisions. However, with the ever-growing volume of data, the greater challenge lies in how these organizations can generate actionable insights. Data classification plays a vital role in addressing this challenge. Until now, organizations have relied on traditional methods for data […]
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Word Vectorization 101: The Journey from Text to Numbers
Navigating through the labyrinthine streets of ancient Rome without a map or GPS, you would quickly realize how every landmark, road, and destination forms part of a larger, intricate whole. A wrong turn at the Pantheon could lead you away from the Colosseum,or a shortcut through Piazza Navona could help you stumble upon the grandeur […]
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Introducing Hasper: LLM-powered Engine For Advanced Analytics
Over the last year, we have evolved from an MLops platform company that gave enterprises the ability to build and deploy machine learning for analytics teams, to an applied AI data products platform. Throughout this journey, our mission has remained consistent: to help organizations make better decisions using data. We’ve reached a pivotal moment in […]
Read MoreReady to make impactful decisions with Generative AI and machine learning?
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