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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Enrich Layer serves as a B2B data enrichment platform featuring a unified API designed to equip developers and technical teams with thorough, current intelligence on individuals, organizations, job listings, and online signals, enabling applications and internal systems to enhance user and prospect information without the hassle of managing several vendors. It consolidates and standardizes public and structured data into a reliable RESTful JSON API, allowing users to retrieve in-depth professional profiles that include work history, educational background, skill sets, contact information, firmographics like revenue and industry, as well as dynamic market indicators such as active job openings and SEO trends. This functionality supports various applications such as CRM enrichment, lead scoring, recruitment tools, sales intelligence, and analytical products. Moreover, Enrich Layer amalgamates multiple curated data sources into a singular layer that scales efficiently with usage, while also offering robust query capabilities across people, company, and job datasets through bulk endpoints and webhooks. With these features, teams can significantly automate and streamline their data enrichment workflows, enhancing overall operational efficiency.

Description

Riveter is an innovative data enrichment platform powered by AI, designed to enhance extensive data files through AI-driven prompts and labeling, allowing users to enrich thousands of rows within minutes using prompts similar to ChatGPT. By streamlining the data analysis process, Riveter removes the need for manual intervention, automating essential tasks such as competitive research, pricing evaluations, and gathering customer insights without the necessity for engineering assistance. Users have the capability to upload any CSV file and leverage natural language prompts to enrich their data with web searches, while also cleaning, structuring, and analyzing information on a large scale. Backed by Y Combinator, Riveter has gained the confidence of growth-stage companies, including Gusto, helping them expedite strategic decision-making with in-depth market research and analysis. Founded by Abigail Grills and Erica Clark, Riveter is committed to enabling companies to make quicker and more informed strategic choices. The platform proves particularly advantageous for teams focused on product development, operations, and go-to-market strategies, allowing them to save significant amounts of time, sometimes even days, by automating their data workflows in mere minutes. With Riveter, businesses can harness the power of AI to transform their approach to data handling and analysis.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ChatGPT No 
Google Sheets No 
JSON Yes 
Microsoft Excel No 
Orthogonal No 
Tadata Yes 

Integrations

ChatGPT Yes 
Google Sheets Yes 
JSON No 
Microsoft Excel Yes 
Orthogonal Yes 
Tadata No 

Pricing Details

$588 per year
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Enrich Layer

Country

United States

Website

enrichlayer.com

Vendor Details

Company Name

Riveter

Country

United States

Website

www.riveterhq.com

Product Features

B2B Data

B2B Contact Data No 
B2B Intent Data No 
B2B Leads Data No 
B2B Marketing Data No 
Business Ownership Data No 
Company Data No 
Employee Data No 
Firmographic Data No 
Job Posting Data No 
Salary Data No 
Technographic Data No 

Product Features

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