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About

Riveter is an AI-powered data enrichment tool that brings AI prompting and labeling to large data files, enabling users to enrich thousands of rows in minutes with ChatGPT-like prompts. Designed to eliminate manual data analysis, Riveter automates tasks such as competitive research, pricing analysis, and customer insights without requiring engineering support. Users can upload any CSV and use natural language prompts to enrich data with web search, clean and structure data, and analyze and label at scale. Riveter is backed by Y Combinator and is trusted by growth-stage companies like Gusto to accelerate strategic decision-making through deep market research and analysis. Founded by Abigail Grills and Erica Clark, Riveter aims to help companies make better strategic decisions faster. The platform is particularly beneficial for product, operations, and go-to-market teams, saving them hours or even days of manual work by automating data workflows in minutes.

About

Data is the backbone of effective decision-making. However, employees spend more time managing it than using it. ThinkData Works provides a robust catalog platform for discovering, managing, and sharing data from both internal and external sources. Enrichment solutions combine partner data with your existing datasets to produce uniquely valuable assets that can be shared across your entire organization. Unlock the value of your data investment by making data teams more efficient, improving project outcomes, replacing multiple existing tech solutions, and providing you with a competitive advantage.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Teams interested in a solution to automate data enrichment and analysis tasks to make informed strategic decisions

Audience

Business leaders, data professionals, and data scientists who are interested in using data to improve product strategy and business outcomes.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Riveter
United States
www.riveterhq.com

Company Information

ThinkData Works
Founded: 2014
Canada
www.thinkdataworks.com

Alternatives

Alternatives

Pika

Pika

Pika Labs
Rivet

Rivet

Rivet Health

Categories

AI Tools Supported
Data Enrichment Supported

Categories

Data Catalog Supported
Data Enrichment Supported
Data Governance Supported
Data Management Supported
Data Monetization Supported
Data Observability Supported
Data Quality Supported

Data Governance Features

Access Control Supported
Data Discovery Supported
Data Mapping Supported
Data Profiling Supported
Deletion Management Supported
Email Management Not Supported
Policy Management Supported
Process Management Not Supported
Roles Management Supported
Storage Management Supported

Data Management Features

Customer Data Not Supported
Data Analysis Supported
Data Capture Not Supported
Data Integration Supported
Data Migration Supported
Data Quality Control Supported
Data Security Supported
Information Governance Supported
Master Data Management Supported
Match & Merge Supported

Data Quality Features

Address Validation Supported
Data Deduplication Supported
Data Discovery Supported
Data Profililng Supported
Master Data Management Supported
Match & Merge Supported
Metadata Management Supported

Integrations

Microsoft Excel Supported
Active Directory Not Supported
Amazon Redshift Not Supported
Amazon S3 Not Supported
Apache NiFi Not Supported
ChatGPT Supported
Clover Not Supported
Google Sheets Supported
Hadoop Not Supported
IBM Watson Not Supported
Mapbox Not Supported
Microsoft Power BI Not Supported
Mule ESB Not Supported
Oracle Autonomous Data Warehouse Not Supported
Orthogonal Supported
Plotly Dash Not Supported
PostgreSQL Not Supported
Salesforce Not Supported
ThoughtSpot Not Supported
pandas Not Supported

Integrations

Microsoft Excel Supported
Active Directory Supported
Amazon Redshift Supported
Amazon S3 Supported
Apache NiFi Supported
ChatGPT Not Supported
Clover Supported
Google Sheets Not Supported
Hadoop Supported
IBM Watson Supported
Mapbox Supported
Microsoft Power BI Supported
Mule ESB Supported
Oracle Autonomous Data Warehouse Supported
Orthogonal Not Supported
Plotly Dash Supported
PostgreSQL Supported
Salesforce Supported
ThoughtSpot Supported
pandas Supported
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