Go from Data to Decisions, 5x Faster

Scribble Data empowers organizations to enrich their raw data and easily transform it to enable reliable and fast decision making for persistent business problems

Get Started

Hero image showing the flow of data from various sources to the Enrich platform

Feature Engineering

Quality and Trust

Consume & Collaborate

Driving decisions with Machine Learning at leading brands

Data-driven decision support for your business

A data to decision platform that helps you generate high fidelity insights to automate decision making.

Learn More

Faster Data to Decisions

Solve your persistent business decision-making problems instantly with advanced analytics powered by Machine Learning

Easier Data Consumption

Leverage customized data-driven workflows for easy consumption of data, and reduce your dependence on data science and machine learning engineering teams

Reliable Data, with all the Context

Rest easy and focus your energy on critical tasks, while Enrich does the heavy lifting to ensure availability of reliable and trustworthy data for decision-making

Operationalized Data in Weeks

Go from concept to operational data product in a few weeks, not months with Feature Engineering capabilities that can prepare high volume and high complexity data at scale

Solve High Impact
Decision-Making Problems
5x Faster!

Schedule a Demo

Solve data-based decision making problems through ScribbleData

Customer Speak

"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

Read Case Study

"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

Read Case Study

"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

Watch video

"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

Read article

Powering the future of intelligent decisions

The Path To Ubiquitous Machine Learning

Imagine a world where a confluence of intelligent systems anticipate and cater to every want and need, seamlessly enhancing your day-to-day existence. A world where machine learning trickles into every cog that makes our world work, making it as essential and widespread as electricity. There is a lot of optimism about machine learning (ML) in […]

MLOps – The CEO’s Guide to Productionization of Data [Part 1]

MLOps (or Machine Learning Operations) is a core function of Machine Learning engineering, that focuses on streamlining the process of taking ML models to production, and maintaining and monitoring them. But before we get into more details about MLOps, it’s important to understand what operationalization of machine learning is, why it’s important, and how it […]

Unlocking the potential of advanced analytics with Scribble Data

Advanced Analytics: Techniques, Examples, and Benefits

Data is the most important asset for any modern organization, backing most business-critical decisions today. However, fully capturing the potential of the company’s data sources, so that they start yielding impactful business insights, is not a straightforward task and the traditional BI and analytics stack is just not at the level to handle the complex […]

Want to get started with fast data-driven decision making today?