Descript
385 Grove St.,
San Francisco, 94102, CA,
United States
San Francisco, 94102, CA,
United States
1 415-231-7449
Professional Services
Descript Technographics
Descript Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Descript and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 150 Descript employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Descript has purchased the following applications: Oracle NetSuite ERP for ERP Financial in 2019, ModernLoop Interview Scheduling for Interview Scheduling in 2020, Google TensorFlow for ML and Data Science Platforms in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Descript is running and its propensity to invest more and deepen its relationship with Oracle , Stripe , ProfitWell 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 Descript revenues, which have grown to $50.0 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 Descript 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.
Descript Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle NetSuite ERP | ERP Financial | ERP Financial Management | n/a | 2019 | 2019 |
|
|
|
|
|
Payment Processing | ERP Financial Management |
|
2021 | 2021 |
|
|
|
|
|
Subscription and Recurring Billing | ERP Financial Management |
|
2021 | 2021 |
|
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| ModernLoop | Legacy | ModernLoop Interview Scheduling | Interview Scheduling | HCM | n/a | 2020 | 2020 |
In 2020, Descript implemented ModernLoop Interview Scheduling to accelerate recruiter efficiency during Series B hiring. The deployment of ModernLoop Interview Scheduling focused on the recruiting function, enabling the companys first technical recruiter to move quickly with scheduling while preserving candidate experience, and emphasizing candidate-facing scheduling flows and thoughtful design.
The implementation centered on Interview Scheduling capabilities such as calendar orchestration, configurable interview templates, automated confirmations and reminders, and orchestration of interview workflows to reduce manual touch points. Operational scope was concentrated within recruiting and hiring workflows, where governance prioritized recruiter ownership of scheduling configurations and candidate communication, and the tool delivered significant time back to recruiting staff and a more consistent candidate experience as reported by the lead technical recruiter.
|
|
|
|
|
Talent Sourcing | HCM |
|
2024 | 2024 |
|
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google TensorFlow | ML and Data Science Platforms | AI Development | n/a | 2022 | 2022 |
In 2022, Descript implemented Google TensorFlow as part of its ML and Data Science Platforms. The rollout targeted Descript's applied research and engineering organization that builds generative audio and video capabilities, supporting features such as voice cloning, Overdub, one-click speech enhancement, and collaborative editing workflows.
The Google TensorFlow implementation is structured around model training, experiment management, and reproducible research pipelines. Functional modules include distributed training orchestration for deep neural models, data preprocessing and feature extraction tailored to audio and video signals, and experiment tracking for hyperparameter sweeps and ablation studies, with model packaging patterns established for handoff into product engineering.
Operational deployment leverages cloud GPU infrastructure provided by Google to enable elastic compute for iterative experimentation and large-scale training runs. The scope of use centers on a research team of around a dozen applied scientists, with integration touchpoints into product and engineering workflows to embed trained models into Descript's editor and recorder features.
Governance is aligned to a formal research experiment lifecycle, from problem definition and experiment design through result analysis and productization handoffs, with senior researchers owning specific feature research functions and mentoring junior staff. Process changes emphasize reproducibility, experiment orchestration, and clear communication channels between research and engineering for production readiness.
Known operational constraints include the team expressed need for additional GPU capacity to increase parallel experimentation. The Google TensorFlow deployment establishes a centralized ML and Data Science Platforms foundation at Descript to support ongoing research in speech processing, computer vision, and generative model development while preserving reproducible experiment workflows.
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Collaboration | Collaboration |
|
2016 | 2016 |
|
|
|
|
|
Survey and Questionnaire | Collaboration |
|
2019 | 2019 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Data Platform | CRM |
|
2017 | 2017 |
|
|
|
|
|
Customer Experience | CRM |
|
2022 | 2022 |
|
|
|
|
|
Customer Experience | CRM |
|
2017 | 2017 |
|
|
|
|
|
Customer Support | CRM |
|
2020 | 2020 |
|
|
|
|
|
Customer Support | CRM |
|
2017 | 2017 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2017 | 2017 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2022 | 2022 |
|
|
|
|
|
Marketing Automation | CRM |
|
2019 | 2019 |
|
|
|
|
|
Partner Relationship Management | CRM |
|
2022 | 2022 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Apps Development | PaaS |
|
2022 | 2022 |
|
|
|
|
|
Transactional Email | PaaS |
|
2017 | 2017 |
|
|
|
|
|
Transactional Email | PaaS |
|
2022 | 2022 |
|
|
|
|
|
Transactional Email | PaaS |
|
2021 | 2021 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2020 | 2020 |
|
|
|
|
|
Cloud Storage | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Cloud Storage | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Container Service | IaaS |
|
2020 | 2020 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2022 | 2022 |
|
CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Identity and Access Management (IAM) | CyberSecurity |
|
2024 | 2024 |
|
IT Decision Makers and Key Stakeholders at Descript
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Descript Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Descript Technographics
Descript is a Professional Services organization based in United States,
with around 150 employees and annual revenues of $50.0 million.
Descript operates a diverse technology stack with applications such as
Oracle NetSuite ERP, ModernLoop Interview Scheduling and Google TensorFlow,
covering areas like ERP Financial, Interview Scheduling and ML and Data Science Platforms.
Descript has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Oracle, ModernLoop and Google.
Descript recently adopted applications including
Gem Sourcing in 2024, Stytch Authentication in 2024 and Google TensorFlow in 2022,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Descript’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Descript’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 Descript technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.