Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Enrich-CRM serves as an advanced CRM enrichment solution that provides real-time updates to maintain the accuracy, completeness, and usability of contact and company information. The platform enhances CRM entries by automatically adding up to 100 data points for contacts, such as job title, seniority, location, email address, and LinkedIn profile, alongside as many as 200 data points for companies, covering aspects like firmographics, financial data, technology stack, and web traffic metrics. It actively tracks job transitions by monitoring LinkedIn activity, seamlessly updating contact information while initiating workflows to re-engage past clients or mitigate potential churn. Additionally, Enrich-CRM boasts native integration with HubSpot and the ability to connect to more than 3,000 applications through platforms like Zapier, Make, and n8n, alongside offering a custom API to accommodate specialized requirements. By employing proprietary algorithms that execute real-time web crawls, the platform ensures the provision of fresh, standardized data without dependence on outdated static databases, thus maintaining compliance with GDPR regulations. This capability not only enhances operational efficiency but also empowers businesses to make informed decisions based on the most current information available.
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
API Access
Has API
Integrations
Google Sheets
Microsoft Excel
Agicap
Cargo
Cegid Retail
ChatGPT
Copernic Business Server Search
Floqer
HubSpot CRM
HubSpot Customer Platform
Integrations
Google Sheets
Microsoft Excel
Agicap
Cargo
Cegid Retail
ChatGPT
Copernic Business Server Search
Floqer
HubSpot CRM
HubSpot Customer Platform
Pricing Details
€125 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Enrich CRM
Founded
2023
Country
France
Website
enrich-crm.com
Vendor Details
Company Name
Riveter
Country
United States
Website
www.riveterhq.com
Product Features
B2B Data
B2B Contact Data
B2B Intent Data
B2B Leads Data
B2B Marketing Data
Business Ownership Data
Company Data
Employee Data
Firmographic Data
Job Posting Data
Salary Data
Technographic Data