Resemble AI Technographics
Resemble AI Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Resemble AI and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2400 Resemble AI employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Resemble AI has purchased the following applications: Dover for Applicant Tracking System in 2024, Google Cloud AI Infrastructure for AI infrastructure in 2025, Crisp for Chatbots and Conversational AI in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Resemble AI is running and its propensity to invest more and deepen its relationship with Dover , Google , Crisp IM 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 Resemble AI revenues, which have grown to $600.0 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 Resemble AI 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.
Resemble AI Data, Technology Stack, and Enterprise Applications
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Dover | Legacy | Dover | Applicant Tracking System | HCM | n/a | 2024 | 2024 |
In 2024, Resemble AI deployed Dover as an Applicant Tracking System. Dover is embedded on Resemble AI's public website to capture applications and publish open roles for corporate recruiting.
The Dover implementation centers on core ATS functionality including job requisition posting, career page application capture, candidate profile management, pipeline stage orchestration, and recruiter dashboards. Configuration work emphasized custom application forms, screening questions, and candidate status workflows to reflect Resemble AI hiring criteria and internal review steps.
Operational coverage includes corporate talent acquisition, HR operations, and hiring managers who use Dover to review candidate profiles, coordinate interviews, and advance applicants through defined pipeline stages. The deployment is focused on the company career site as the primary candidate intake channel and on operationalizing recruiter and hiring manager workflows.
Governance and rollout included establishing administrator roles, role based access controls, and standardized candidate workflows for consistent hiring decisions. Dover is positioned as the central Applicant Tracking System for Resemble AI recruitment activity and career site application management.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud AI Infrastructure | AI infrastructure | AI Development | n/a | 2025 | 2025 |
In 2025 Resemble AI deployed Google Cloud AI Infrastructure to accelerate training of its generative text to speech models and address persistent I/O bottlenecks in multi GPU training pipelines. The company, which builds ultra realistic voice models in 23 languages, confronted hundreds of terabytes of audio data and multi GPU clusters that previously experienced 30 to 40 percent utilization and required up to three days of infrastructure preparation before substantive training could begin.
The implementation centered on Google Cloud Managed Lustre built by DDN as the high throughput file system within the broader Google Cloud AI Infrastructure platform. Configuration focused on high bandwidth read performance for distributed training workloads, storage tiering and scalable capacity provisioning, and orchestration of multi GPU training jobs to eliminate idle compute cycles. Standard AI infrastructure capabilities such as parallel data ingest, distributed filesystem mounting across GPU nodes, and automated storage expansion were applied to align with Resemble AI model training workflows.
Integrations explicitly included the Managed Lustre service with Resemble AI s multi GPU clusters and the company s large audio dataset pipelines, enabling direct high throughput access from training instances. Operational coverage targeted research and engineering teams responsible for model development and model operations, supporting iterative training pipelines used for conversational AI and media generation use cases. Storage scale and performance were provisioned to handle hundreds of terabytes of data with seamless expansion capacity.
Process and operational governance shifted to continuous readiness and elastic storage provisioning, removing multi day infrastructure prep windows and enabling more frequent model iterations. Workflow changes emphasized pipeline orchestration that routes high throughput reads through Managed Lustre to GPU compute, and operational controls that allow storage to expand without downtime. These governance adjustments aligned engineering processes to the performance characteristics of the deployed AI infrastructure.
Outcomes reported by Resemble AI are explicit, including achieving 100 percent GPU utilization with no idle cycles waiting on data and the ability to expand storage from 200 TB to 500 TB in moments without downtime. The Google Cloud AI Infrastructure deployment with DDN Managed Lustre shortened iteration cycles and accelerated model development for Resemble AI s generative voice products, enabling faster delivery of lifelike AI voices to customers.
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Generative AI Platforms | AI Development |
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2022 | 2022 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Crisp IM | Legacy | Crisp | Chatbots and Conversational AI | AI-Powered Application | n/a | 2021 | 2021 |
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Chatbots and Conversational AI | AI-Powered Application |
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2024 | 2024 |
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Chatbots and Conversational AI | AI-Powered Application |
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2024 | 2024 |
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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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2019 | 2019 |
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Online Meeting Scheduling | Collaboration |
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2019 | 2019 |
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Survey and Questionnaire | Collaboration |
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2019 | 2019 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Management | Content Management |
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2020 | 2020 |
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Web Content Management | Content Management |
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2019 | 2019 |
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Web Content Management | Content Management |
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2025 | 2025 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Account Based Marketing | CRM |
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2021 | 2021 |
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Account Based Marketing | CRM |
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2024 | 2024 |
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CRM | CRM |
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2023 | 2023 |
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Customer Data Platform | CRM |
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2022 | 2022 |
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Customer Experience | CRM |
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2019 | 2019 |
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Customer Support | CRM |
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2019 | 2019 |
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Digital Advertising Platform | CRM |
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2022 | 2022 |
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Digital Advertising Platform | CRM |
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2023 | 2023 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Marketing Automation | CRM |
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2022 | 2022 |
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Marketing Automation | CRM |
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2023 | 2023 |
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Marketing Automation | CRM |
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2023 | 2023 |
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Marketing Automation, Sales Automation | CRM |
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2023 | 2023 |
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Tag Management | CRM |
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2021 | 2021 |
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Tag Management | CRM |
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2023 | 2023 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2020 | 2020 |
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Application Performance Management | ITSM |
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2023 | 2023 |
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PPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Project Portfolio Management | PPM |
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2023 | 2023 |
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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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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2020 | 2020 |
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Apps Development | PaaS |
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2023 | 2023 |
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Transactional Email | PaaS |
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2021 | 2021 |
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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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2025 | 2025 |
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Cloud Storage | IaaS |
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2025 | 2025 |
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Cloud Storage | IaaS |
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2024 | 2024 |
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Container Service | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2025 | 2025 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2025 | 2025 |
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Content Delivery Network | IaaS |
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2025 | 2025 |
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Digital Workspace | IaaS |
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2024 | 2024 |
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Domain Name System (DNS) | IaaS |
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2021 | 2021 |
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Domain Name System (DNS) | IaaS |
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2025 | 2025 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Security (AppSec) | CyberSecurity |
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2020 | 2020 |
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Application Security (AppSec) | CyberSecurity |
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2024 | 2024 |
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Identity and Access Management (IAM) | CyberSecurity |
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2024 | 2024 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Resemble AI
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Resemble AI Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Resemble AI Technographics
Resemble AI is a Communications organization based in United States,
with around 2400 employees and annual revenues of $600.0 million.
Resemble AI operates a diverse technology stack with applications such as
Dover, Google Cloud AI Infrastructure and Crisp,
covering areas like Applicant Tracking System, AI infrastructure and Chatbots and Conversational AI.
Resemble AI has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Dover, Google and Crisp IM.
Resemble AI recently adopted applications including
Google Cloud AI Infrastructure in 2025, Webflow CMS in 2025 and Google Cloud Platform (GCP) in 2025,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Resemble AI’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Resemble AI’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Resemble AI technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.