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."
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
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 […]
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Generative AI in Pension Risk Transfer: Introduction, and Key Use Cases
Warren Buffett famously noted that ‘someone’s sitting in the shade today because someone planted a tree a long time ago.’ Pension risk transfer, or PRT, did not just pop up overnight. It’s got history. Think of it as a response to a big problem: companies promising pensions they later find tough to keep. This dilemma […]
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Generative AI in Insurance: Use Cases and Future Impact
What if the devastating Hurricane Katrina or Cyclone Nargis had been anticipated with greater precision, its impact mitigated by proactive insurance protocols? How would the landscape of life and health insurance change if underwriters could accurately simulate and understand the long-term health trends of populations? And what if reinsurers could preemptively navigate market collapses or […]
Read MoreReady to make impactful decisions with Generative AI and machine learning?
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