Dataworkz – Conversational Data Preparation

Harness a Large Language Model

on your customer data

ChatGPT, BARD or your LLM.

WHY DATAWORKZ

Bring LLMs to your customer data

Conversational Data Transformation empowers analysts and operators to automate their workflows by describing them in plain English.

Embrace Generative AI

Build a Question and Answering system to unlock the transformative power of your internal data from any source using a privately hosted open-source LLM.

Less is more (All-in-one solution)

Don’t let your LLM project become a software integration nightmare. Experiment in minutes by connecting with the most popular customer data sources for faster time to value.

Assemble your AI stack

Public or private LLMs, a vector store for embeddings, an operational database for chunks of data together to create AI applications.

Data flows

AI enabled workflows to perform any sort of data wrangling – from vector to embedding to complex JSON transformations.

Conversational data prep

Describe the most common data-wrangling tasks in plain English and harness a Large Language Model (LLM) like ChatGPT

LLM use cases

Q&A system for your internal data.

Summarize activities to create a customer health score

Data flow use cases

Fuzzy matching for Salesforce Accounts, Leads.

No-code customer 360.

Data prep use cases

Convert tabular data into JSON and vice-versa.

SOC 2 Type 2

Dataworkz successfully completed the AICPA Service Organization Control (SOC) 2 Type II audit. The audit confirms that Dataworkz’s information security practices, policies, procedures, and operations meet the SOC 2 standards for security.

TEstimonials

Gunderson needed to compare attributes for venture-backed companies from multiple internal and external datasets, but there were no globally unique identifiers available to join the datasets in most cases, and there were no off-the-shelf, end-to-end solutions to solve the problem. Working with Dataworkz, we developed an automated, scalable fuzzy matching pipeline that feeds likely matches to our internal infrastructure for manual review and approval, ultimately flowing into our MongoDB data warehouse.

A fully functional Customer 360 application and data pipeline project would take 9+ months to gather requirements, build and iterate over the data flows. With Dataworkz’s no-code, easy-to-define visual interface, they built the primary data flow in hours rather than days or weeks.

The notifications in Dataworkz showing changes to the Salesforce objects is so money! I had to add yet more custom fields so we can see sequence info/attribution for Leads, Contacts & Opps and when I logged into Dataworkz to see if I needed to do anything there to the datasets, I saw the notification. This solves another use case for orgs that have admins that change things and/or don't necessarily document or inform the other admins. This is so helpful! -