Dataplant
Dataplant is a St. Louis-based SaaS company founded in 2022 that provides an agentic, voice-driven AI platform for customer success teams to predict churn, personalize interactions, and drive revenue retention, offered via freemium and enterprise subscriptions.
- Company typePrivate
- Founded2022
- HeadquartersSt Louis, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Dataplant does
Dataplant, Inc. is a privately held Delaware-incorporated SaaS company founded in November 2022 and headquartered in St. Louis, Missouri. The company operates a voice-driven, agentic AI platform purpose-built for customer success teams, focused on predicting churn, surfacing upsell opportunities, and delivering hyper-personalized interactions across languages. Its core platform leverages NVIDIA infrastructure (via the NVIDIA Inception Program) and exposes an agentic self-learning architecture that combines predictive analytics, recommendation, and workflow automation; supporting features include a hyper-personalization engine, role-based access controls, and a multi-tenant AWS architecture with isolated per-tenant data storage. The product is delivered through three primary surfaces: a self-serve freemium tier for individuals, a paid enterprise subscription for teams requiring sales engagement, and a portfolio of more than ten GPT-based agents distributed through the ChatGPT marketplace (e.g., Follow Up Bot, Success Planner, CS Strategy Bot, Onboarding Wizard, Playbook Writer, Samuel the Insight Architect, Christina the CS Detective).
Dataplant's go-to-market combines product-led growth through free tools and a sign-up flow (thedataplant.com) with enterprise field sales for its 'For Teams' offering. Pricing is structured as a free tier plus monthly and annual subscription plans governed by Terms of Use (non-refundable, auto-renewing; 15-day cancellation for monthly, 30-day for annual), with quote-based enterprise pricing not publicly disclosed. The company has achieved SOC 2 Type II certification (8-month observation period, 856 successful security measures per Q4 2023 audit), GDPR compliance, and TAC email security certification, signaling enterprise-readiness positioning. It has raised a $500,000 seed round led by Cultivation Capital (March 2023) and participated in the Tampa Bay Innovation Center accelerator (August 2023).
The company is led by CEO and founder Samuel J Cummings III and CTO and co-founder Mithelesh Kumar, with reported headcount of 1-10 employees. Distribution beyond direct sales is supported by a notable content marketing presence, including LinkedIn Learning courses, podcasts (AI4Diversity, Cosmic Conversations), an AI-generated video series (The Scope), a Spotify-distributed audio drama (The CS Files), and a Dataplant Mixtape streaming release. The company claims more than 32,000 personalized customer interactions powered by its platform to date. No named enterprise customers, revenue figures, or ARR disclosures are available in the source material.
Dataplant firmographics
Firmographics- Name
- Dataplant
- Legal name
- Dataplant, Inc.
- Website
- https://thedataplant.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Dataplant is a St. Louis-based SaaS company founded in 2022 that provides an agentic, voice-driven AI platform for customer success teams to predict churn, personalize interactions, and drive revenue retention, offered via freemium and enterprise subscriptions.
- Ownership category
- akta.pro rank
Dataplant industry classification
Industry- Product category
- Customer Success AI Software
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Advertising, Marketing & Customer Personalization (HDAAAGAC)
- akta.pro secondary industry
- Feature Stores & ML Data Management (HDAAABAB)
Keywords
Where Dataplant is headquartered
LocationHeadquarters
- HQ city
- St Louis
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Dataplant business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations
Revenue model
- Subscription Services: Monthly or annual subscription model for access to the platform, data, and services. All payments are non-refundable. Subscriptions automatically renew unless cancelled within appropriate timeframes (15 days for monthly, 30 days for annual).
- Freemium to Paid Conversion: Free tier available for individuals; paid versions for teams and enterprise deployments.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | Freemium individual access |
| Subscription | Monthly | Monthly subscription |
| Subscription | Annual | Annual subscription |
| Subscription | Others | Enterprise team version |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels7 records
Dataplant product offering
Product offeringCore offering
Dataplant sells a self-learning, agentic AI platform purpose-built for customer success teams that predicts churn, identifies upsell opportunities, and delivers hyper-personalized customer interactions in any language via a voice-driven conversational interface. The platform is offered as a freemium tier for individuals and a paid team/enterprise edition, and is built on NVIDIA technology under the NVIDIA Inception Program.
Product overview
Dataplant offers a unified AI-powered customer success platform with a freemium tier for individuals and an enterprise edition for teams. The core platform features agentic AI that predicts customer behavior, identifies churn risks, and delivers hyper-personalized interactions. Additional offerings include various AI agents (Follow Up Bot, Success Planner, CS Strategy Bot, Onboarding Wizard, Transition Assistant, Internal Update Bot, CS Answers Bot, Playbook Writer, and persona-based agents like Samuel the Insight Architect and Christina the CS Detective) accessible via ChatGPT. The company also produces content including The Scope video series, podcasts (AI4Diversity Podcast, Cosmic Conversations Podcast), and The CS Files audio drama.
Differentiator
Problem solved
Functional benefit
Products and services
- Dataplant Platform Core agentic AI platform for customer success teams that predicts customer behavior, identifies churn risks, uncovers upsell opportunities, and delivers hyper-personalized interactions via a voice-driven conversational interface.
- Dataplant Freemium Edition Free tier offering that gives individuals access to Dataplant's core AI capabilities for customer success.
- Dataplant Enterprise Edition Paid team version marketed under the 'For Teams' CTA, offering enterprise-scale customer success AI capabilities with quote-based pricing.
Quantifiable outcome
- Over 32K+ personalized customer interactions powered by Dataplant
Companies that use Dataplant
Customer profileSegments2 records
Ideal customer profiles2 records
Dataplant technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability5 records
Feature5 records
Dataplant partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- NVIDIAcoreAs part of the NVIDIA Inception Program, Dataplant harnesses NVIDIA technology to redefine customer success. The partnership provides access to NVIDIA's AI infrastructure and technology stack, enabling advanced AI capabilities for customer success teams.
Scale indicators3 records
Recent moves6 records
Expansion highlights6 records
Dataplant competitors and assessment
Company assessmentDirect peers
- Gainsight: The dominant customer success platform offering health scoring, churn prediction, and renewal management. Dataplant competes directly with Gainsight's predictive and AI-driven CS features for the same mid-market and enterprise CS buyer.
- ChurnZero: Real-time customer success software focused on churn reduction and customer engagement, with strong AI-driven signals. Directly comparable to Dataplant's churn prediction and hyper-personalization value proposition.
- Akita: Customer success software built for modern SaaS teams with segmentation, playbooks, and health scoring. Direct overlap with Dataplant's customer success management and retention workflows.
- Catalyst (by CustomerSuccessBox): Customer success platform offering health scoring, journey orchestration, and playbook automation. Competes for the same CS team buyers as Dataplant, particularly in mid-market SaaS.
- Vitally: Modern, analytics-heavy customer success platform with strong CRM and product-usage integrations. Comparable to Dataplant in serving SaaS CS teams with predictive, data-driven retention workflows.
- Custify: Customer success software for SaaS teams with health scores, workflow automation, and product-usage analytics. Targets a similar SMB-to-mid-market CS buyer segment as Dataplant.
- Planhat: Customer success platform emphasizing customer experience, segmentation, and renewal forecasting. Directly comparable to Dataplant's predictive revenue retention value proposition.
- Totango: Customer success platform with successBLOC segmentation and AI-driven health scoring. Targets the same CS teams that Dataplant serves, with overlapping churn-risk and expansion workflows.
Broad incumbents
- Salesforce Einstein: Salesforce's embedded AI layer spans prediction, personalization, and automation across CRM, service, and sales clouds. A broad incumbent offering overlapping AI-driven retention features that compete for the same CS/CRM budget as Dataplant.
- HubSpot AI (Service Hub / Customer Hub): HubSpot's customer-facing hubs now include AI-powered predictive scoring, conversation intelligence, and automation that overlap with Dataplant's CS use cases; relevant as an incumbent alternative that comes bundled with broader CRM and marketing tools.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Dataplant social profiles
Digital presenceDataplant compliance and trust
Trust signalCompliance3 records
Dataplant financial estimates
Financial estimateRevenue estimate
Valuation estimate
Dataplant leadership team
Management profileNumber of profiles
Profiles1 record
Dataplant funding detail
Funding detailFunding overview
Funding rounds2 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Dataplant M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Dataplant
What does Dataplant do?
Dataplant sells a self-learning, agentic AI platform purpose-built for customer success teams that predicts churn, identifies upsell opportunities, and delivers hyper-personalized customer interactions in any language via a voice-driven conversational interface. The platform is offered as a freemium tier for individuals and a paid team/enterprise edition, and is built on NVIDIA technology under the NVIDIA Inception Program.
Is Dataplant a public or private company?
Dataplant is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Dataplant founded?
Dataplant was founded in 2022. It employs 1 to 10 people.
Where is Dataplant based?
Dataplant is headquartered in St Louis, United States, in the North America region.
How does Dataplant make money?
Two revenue lines are on record. Subscription Services are the primary driver. The others are freemium to Paid Conversion.
Who are Dataplant's main competitors?
Direct peers on record are Gainsight, ChurnZero, Akita, Catalyst (by CustomerSuccessBox), Vitally, Custify, Planhat and Totango. Broad incumbents are Salesforce Einstein and HubSpot AI (Service Hub / Customer Hub).
Does Dataplant have an API?
No public API is recorded for Dataplant.
What industry is Dataplant in?
Dataplant's product category is Customer Success AI Software. Its primary akta.pro industry code is HDAAAGAC, Advertising, Marketing & Customer Personalization, with a secondary code of HDAAABAB, Feature Stores & ML Data Management. Its NAICS code is 5132 and its SIC code is 7372.