Dataplant
Software Development
St Louis, United States
12 employees
- Employees
- 12
- Contacts
- 2
- Emails
- 2
- Phones
- 2
Dataplant Overview
- Headquarters
- St Louis, United States
- Website
- dataplant.com
- Industry
- Software Development
- Employees
- 12
- NAICS
-
Software Publishers
About Dataplant
DataPlant simplifies customer retention by automating complex processes and integrating AI intelligence, making it cost-effective and accessible for businesses of all sizes. Our platform leverages machine learning to provide actionable insights for post-sales activities, driving better customer satisfaction, retention, and revenue growth. Our mission is to redefine customer management for subscription-based businesses by automating the delivery of critical insights for post-sales teams. Our platform enables proactive, personalized customer engagement, driving retention and boosting profitability. We aim to make data-driven customer success a standard across industries. DataPlant is a sentient customer success platform built on procedural generation technology that arms customer success professionals with the tools to source, analyze, and act on their data within minutes. All the client has to do with Dataplant is import their data and tell us a few details about the data. Our AI/ML system then generates all of the tables, reports, dashboards, page views, and insights automatically. Allowing the user to curate which insights, charts, and views they want to keep
Dataplant Contact Details
- People in AeroLeads
- 4
- With contact data
- 2
- Email contacts
- 2
- 50.0% coverage
- Phone contacts
- 2
- 50.0% coverage
Dataplant Org Chart
Sample employees and titles| Name | Title | Location | Contact |
|---|---|---|---|
| Jim Eberlin | St Charles, Missouri, United States |
Email
Phone
|
|
| Sabina M. Pons | CEO & Cco at Growth Molecules™ |
View
|
|
| Ankit Goyal | Engineering & Data Science Leader |
View
|
|
| Josh Schwartz | Pe Growth Consultant - GTM Pillar Lead | St Louis, Missouri, United States |
Email
Phone
|
Employees by Management Level
Individual contributor
6 profiles
Executive
1 profile
Senior / Lead
1 profile
Dataplant Tech Stack
Engineering
4 profiles
Data / AI
2 profiles
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