New York, 10001, NY,
United States
Noom Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Noom and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 3000 Noom employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Noom has purchased the following applications: Tipalti Invoice Management and Bill Processing System for AP Automation in 2020, Greenhouse ATS for Applicant Tracking System in 2018, Medallia Athena AI for Predictive Analytics in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Noom is running and its propensity to invest more and deepen its relationship with Tipalti , Oracle , BILL Operations or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Noom revenues, which have grown to $450.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Noom intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tipalti | Legacy | Tipalti Invoice Management and Bill Processing System | AP Automation | ERP Financial Management | n/a | 2020 | 2020 |
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ERP Financial | ERP Financial Management |
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2020 | 2020 |
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Expense Management | ERP Financial Management |
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2019 | 2019 |
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Payment Processing | ERP Financial Management |
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2019 | 2019 |
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Payment Processing | ERP Financial Management |
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2019 | 2019 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2018 | 2018 |
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Employee Experience | HCM |
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2020 | 2020 |
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Recruiting | HCM |
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2020 | 2020 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Medallia | Legacy | Medallia Athena AI | Predictive Analytics | AI-Powered Application | n/a | 2020 | 2020 |
In 2020 Noom deployed Medallia Athena AI as a Predictive Analytics capability to drive customer support and CRM insight generation across its United States operations. The deployment centers on Medallia Athena AI text analytics and conversation analytics to ingest and normalize email and chat transcripts for downstream analysis.
The implementation configured the explicit text analytics module within Medallia Athena AI to perform transcript ingestion, natural language processing, topic classification, and conversational signal extraction. Data processing pipelines were built to clean and index transcripts and to surface structured themes and sentiment, aligning with typical Predictive Analytics workflows for automated insight generation.
Integrations focus on direct ingestion of email and chat transcripts and routing summarized insight into customer support and CRM workflows, supporting use by Noom's Customer Insights and support teams. Operational coverage is described for customer support and CRM functions within the United States, with analytics outputs used to prioritize issues and inform agent and product decisions.
Governance emphasized centralized insight review and operationalization, with the Medallia Athena product page citing Noom's Customer Insights Director about the usage pattern. The implementation delivered rapid, scalable insights and produced cost reductions as stated by the customer, while preserving focus on ongoing model tuning and transcript data governance to maintain signal quality.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Audio Video and Web Conferencing | Collaboration |
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2021 | 2021 |
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Collaboration | Collaboration |
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2013 | 2013 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Signing | Content Management |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2020 | 2020 |
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Customer Experience | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2016 | 2016 |
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Marketing Analytics | CRM |
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2017 | 2017 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Partner Relationship Management | CRM |
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2019 | 2019 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2018 | 2018 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2012 | 2012 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Cloud Storage | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Data Loss Prevention | CyberSecurity |
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2021 | 2021 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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