Twitter, Inc.
1355 Market Street,
San Francisco, 94103, CA,
United States
San Francisco, 94103, CA,
United States
1 604-684-8725
Media
Twitter, Inc. Technographics
Twitter, Inc. Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Twitter, Inc. and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 7500 Twitter, Inc. employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Twitter, Inc. has purchased the following applications: Kofax MarkView for AP Automation in 2015, In-House ATS for Applicant Tracking System in 2012, Google TensorFlow for ML and Data Science Platforms in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Twitter, Inc. is running and its propensity to invest more and deepen its relationship with Tungsten Automation , Oracle , SAP 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 Twitter, Inc. revenues, which have grown to $5.08 billion 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 Twitter, Inc. 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.
Twitter, Inc. Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tungsten Automation | Legacy | Kofax MarkView | AP Automation | ERP Financial Management | n/a | 2015 | 2015 |
In 2015, Twitter, Inc. implemented Kofax MarkView for AP Automation. A consultant engagement from January 2015 to January 2016 covered functional and technical work to install, configure, and customize Kofax Capture, Kofax Transformation Modules KTM, and Kofax MarkView for invoice processing.
The implementation centered on document ingestion and automated data capture, using Kofax Capture for scanning and ingestion and Kofax Transformation Modules KTM for extraction and classification of invoice data. Kofax MarkView was configured as the workflow and document management layer to enforce approval sequencing, validation steps, and exception handling for supplier invoices, aligning with standard AP Automation functional workflows.
Integration work included a direct operational handoff to Oracle EBS, integrating Kofax MarkView approval outcomes with Oracle EBS for final payment release. The project explicitly targeted Accounts Payable business functions, establishing a systems-based approval gate in MarkView before invoices were released into Oracle EBS for payment.
Governance changes were driven by the rollout of MarkView workflows and required both technical configuration and functional owner alignment, with the consultant engagement executing customization to support routing and validation rules. The deployment emphasized automated capture, extraction, and routed approvals in Kofax MarkView to support AP Automation processes, prior to payment execution in Oracle EBS.
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ERP Financial | ERP Financial Management |
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2010 | 2010 |
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Expense Management | ERP Financial Management |
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2015 | 2015 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| In-House Applications | Legacy | In-House ATS | Applicant Tracking System | HCM | n/a | 2012 | 2012 |
In 2012, Twitter, Inc. deployed an In-House ATS as its Applicant Tracking System to capture applications directly through its public careers pages and centralize candidate intake. The In-House ATS was implemented as a web facing application supporting the company’s recruiting activities for an organization of roughly 7,500 employees, and it served as the primary application tracking layer accessible from twitter.com careers flows. The deployment emphasized online application capture and candidate lifecycle visibility within the corporate website environment.
The In-House ATS included standard Applicant Tracking System capabilities such as job posting management, candidate intake and resume parsing, configurable candidate pipelines and stages, requisition and approval workflows, interview scheduling and tracking, offer management, and compliance oriented data capture. Configuration focused on recruiter and hiring manager workflows, role based permissions, and configurable requisition templates to support repeatable hiring processes. Reporting and candidate profile artifacts were managed within the In-House ATS to support operational recruiting decisions.
Operational ownership rested with Talent Acquisition and HR operations, with hiring managers consuming candidate lists and workflow approvals through the In-House ATS. Governance was structured around centralized configuration of pipelines, permissioned access for recruiting teams, and web form controls to standardize data capture from the public careers site. Rollout and change control were coordinated with recruiting leadership to align intake forms and hiring workflows with existing HR processes.
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Recruiting, Applicant Tracking System | HCM |
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2014 | 2014 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google TensorFlow | ML and Data Science Platforms | AI Development | Cortex | 2017 | 2017 |
In 2017, Twitter, Inc. adopted Google TensorFlow within its ML and Data Science Platforms work to retool ranking for the home timeline and centralize model development. The decision was made in late 2017, with Twitter describing a migration that positioned TensorFlow as the primary training and serving stack for timeline relevance models, and Cortex engaged as a collaborator on the effort.
The implementation focused on expressing the entire model graph for home timeline relevance as programmatic Python functions, enabling development of complex relevance models that score thousands of candidate Tweets per user. The deployment encompassed both training pipelines and a serving stack for production scoring, with models designed to predict engagement and signals that encourage healthy public conversation. Google TensorFlow supported both immediate production use cases and ongoing research experiments, reflecting the ML and Data Science Platforms category capability set for model training, graph definition, and serving.
Operational integration emphasized interoperability with Twitter production systems that are predominantly JVM based, leveraging TensorFlow Java APIs to connect model serving into existing infrastructure. The migration replaced Twitter’s prior Lua Torch based platform with a TensorFlow training and serving architecture, after evaluating alternatives such as PyTorch. Cortex and Twitter’s central machine learning and AI team worked together on the stack design and rollout, aligning training workflows, model artifact formats, and production scoring endpoints.
Governance and process changes centered on standardizing model development in Python, accelerating experiment iteration, and instituting a TensorFlow based workflow for research to production handoff. Twitter cited improved developer productivity and stronger access to industry research as explicit outcomes from adopting Google TensorFlow, while retaining production stability guarantees that matched the scale requirements of serving hundreds of millions of active users.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Online Meeting Scheduling | 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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2016 | 2016 |
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Intelligent Document Processing | Content Management |
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2015 | 2015 |
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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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2020 | 2020 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Lifecycle Management | ITSM |
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2012 | 2012 |
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SPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Incentive Compensation Management | SPM |
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2017 | 2017 |
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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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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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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Cloud Storage | IaaS |
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2020 | 2020 |
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Data Streaming | IaaS |
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2020 | 2020 |
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Database Management | IaaS |
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2020 | 2020 |
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Network Management and Monitoring | IaaS |
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2010 | 2010 |
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Servers, Storage and Networking | IaaS |
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2015 | 2016 |
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IT Decision Makers and Key Stakeholders at Twitter, Inc.
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Apps Being Evaluated by Twitter, Inc. Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Twitter, Inc. IT executives and key decision makers. This section highlights Twitter, Inc.'s latest recorded technology evaluations, including Adjust for Marketing Analytics on 2025-09-26 and Zeta Marketing Platform for Marketing Automation on 2024-08-27. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Twitter, Inc. digital transformation priorities and AI adoption trends.
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||
FAQ - APPS RUN THE WORLD Twitter, Inc. Technographics
Twitter, Inc. is a Media organization based in United States,
with around 7500 employees and annual revenues of $5.08 billion.
Twitter, Inc. operates a diverse technology stack with applications such as
Kofax MarkView, In-House ATS and Google TensorFlow,
covering areas like AP Automation, Applicant Tracking System and ML and Data Science Platforms.
Twitter, Inc. has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Tungsten Automation, In-House Applications and Google.
Twitter, Inc. recently adopted applications including
Alida Sparq in 2020, Amazon Lambda in 2020 and Amazon EC2 in 2020,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Twitter, Inc.’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Twitter, Inc.’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 Twitter, Inc. technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.