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Effective URL: https://www.scribbledata.io/
Submission: On June 22 via api from US — Scanned from DE
Effective URL: https://www.scribbledata.io/
Submission: On June 22 via api from US — Scanned from DE
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Accept All Save My Preferences Reject All Powered by * Product * Resources * Blog * Careers * About * Documentation Schedule a Demo BUILD DATA PRODUCTS AT THE SPEED OF IDEAS Use Generative AI and machine learning to build low-code data products for advanced analytics challenges Get Started Watch Video TRUSTED BY ‹› BRIDGE THE GAP BETWEEN LLMS AND ENTERPRISE ANALYTICS Generate automated, personalized insights for your business problems to unlock unlimited possibilities Learn More 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 HedwigEnGen, 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. ACHIEVE BUSINESS GOALS WITH AI-POWERED DATA PRODUCTS Schedule a Demo CUSTOMER SPEAK 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." -------------------------------------------------------------------------------- Dileep Raman Co-founder and Chief of Healthcare, Cloudphysician Learn More 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." -------------------------------------------------------------------------------- Peter Swaniker CTO, The Room Learn More 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." -------------------------------------------------------------------------------- Vidyotham Reddi Director, Growth Analytics Mars, Incorporated Learn More 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." -------------------------------------------------------------------------------- Akbar Hussain Co-founder & General Counsel, Terrapay Learn More 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." -------------------------------------------------------------------------------- Dileep Raman Co-founder and Chief of Healthcare, Cloudphysician Learn More 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." -------------------------------------------------------------------------------- Peter Swaniker CTO, The Room Learn More 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." -------------------------------------------------------------------------------- Vidyotham Reddi Director, Growth Analytics Mars, Incorporated Learn More 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." -------------------------------------------------------------------------------- Akbar Hussain Co-founder & General Counsel, Terrapay Learn More ‹› POWERING THE FUTURE OF INTELLIGENT DECISIONS 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 More LLM’S 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 […] Read More 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 […] Read More READY TO MAKE IMPACTFUL DECISIONS WITH GENERATIVE AI AND MACHINE LEARNING? 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