Anthropic
548 Market St,
San Francisco, 94104, CA,
United States
San Francisco, 94104, CA,
United States
n/a
Professional Services
Anthropic Technographics
Anthropic Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Anthropic and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1000 Anthropic employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Anthropic has purchased the following applications: Oracle NetSuite ERP for ERP Financial in 2019, Google TensorFlow for ML and Data Science Platforms in 2022, Intercom Fin ChatBot for Chatbots and Conversational AI in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Anthropic is running and its propensity to invest more and deepen its relationship with Oracle , Stripe , Google 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 Anthropic revenues, which have grown to $990.0 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 Anthropic 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.
Anthropic 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 |
|
2023 | 2023 |
|
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 Anthropic implemented Google TensorFlow as a core part of its ML and Data Science Platforms architecture to support trust and safety engineering for model oversight. Anthropic Google TensorFlow ML and Data Science Platforms trust and safety engineering work centered on building production-grade model monitoring and abuse detection systems aligned with the company mission to create reliable, interpretable, and steerable AI systems.
The implementation focused on model training and inference pipelines using Google TensorFlow, with dedicated modules for abuse detection model development, real-time monitoring, and automated enforcement orchestration. Development work included supervised detection models, feature extraction and data mining workflows coded in Python and SQL friendly toolchains, and internal dashboards that surface model behaviors to analysts and reviewers. Google TensorFlow was used to iterate training-stage hardening workflows that feed signals back into research teams for model remediation.
Operational integrations were centered on API partner telemetry and internal analyst tooling, with monitoring systems ingesting API usage signals to detect unwanted behaviors, and surfacing flagged instances to analysts for manual review. The scope of operational coverage included trust and safety teams, research groups, and operations teams responsible for abuse response, with internal full stack tooling to analyze user reports and automate pattern detection. Data pipelines and model outputs were structured to support both real-time defenses and batch model retraining cycles.
Governance and process changes emphasized multi-layered review and escalation workflows, automated enforcement actions balanced with analyst-led manual review, and alignment of detection rules with terms of service and acceptable use policies. Rollout prioritized instrumentation for monitoring, integration points to surface abuse patterns to research, and mechanisms to feed findings into training-stage model hardening. The stated objective of these implementations was to detect unwanted model behaviors, prevent disallowed use, and provide transparent oversight pathways without asserting specific outcome metrics.
|
|
|
|
|
|
ML and Data Science Platforms | AI Development |
|
2019 | 2019 |
|
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Intercom | Legacy | Intercom Fin ChatBot | Chatbots and Conversational AI | AI-Powered Application | n/a | 2024 | 2024 |
In 2024, Anthropic implemented Intercom Fin ChatBot to scale customer support for its AI products and free users. The deployment used Intercom Fin ChatBot within the Chatbots and Conversational AI category to provide automated conversational handling and continuous 24/7 coverage in the United States.
The implementation was fast to deploy, with Fin live in under a week, and configured to perform automated triage, intent classification, and scripted resolution workflows typical of conversational AI agents. Anthropic routed high volumes of incoming queries through Intercom Fin ChatBot, resolving tens of thousands of customer queries within weeks and achieving an explicit resolution rate of approximately 50.8 percent while materially reducing response times.
Operationally the scope covered customer support for AI product users and free-tier customers across the US region, enabling around the clock coverage and automated first-contact resolution. Governance centered on rapid rollout and operational monitoring to tune conversational flows and escalation rules, with Anthropic using the Intercom Fin ChatBot to shift volume away from live agents and standardize initial response handling for support functions.
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Collaboration | Collaboration |
|
2021 | 2021 |
|
|
|
|
|
Collaboration | Collaboration |
|
2022 | 2022 |
|
Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Web Content Management | Content Management |
|
2023 | 2023 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
CRM | CRM |
|
2022 | 2022 |
|
|
|
|
|
Marketing Automation | CRM |
|
2023 | 2023 |
|
|
|
|
|
Sales Automation, CRM, Sales Engagement | CRM |
|
2021 | 2021 |
|
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
IT Service Management | ITSM |
|
2022 | 2022 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Apps Development | PaaS |
|
2022 | 2022 |
|
|
|
|
|
Apps Development | PaaS |
|
2022 | 2022 |
|
|
|
|
|
Robotic Process Automation | PaaS |
|
2022 | 2022 |
|
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 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Cloud Storage | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2023 | 2023 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2023 | 2023 |
|
CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Identity and Access Management (IAM) | CyberSecurity |
|
2023 | 2023 |
|
IT Decision Makers and Key Stakeholders at Anthropic
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Anthropic Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Anthropic Technographics
Anthropic is a Professional Services organization based in United States,
with around 1000 employees and annual revenues of $990.0 million.
Anthropic operates a diverse technology stack with applications such as
Oracle NetSuite ERP, Google TensorFlow and Intercom Fin ChatBot,
covering areas like ERP Financial, ML and Data Science Platforms and Chatbots and Conversational AI.
Anthropic has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Oracle, Google and Intercom.
Anthropic recently adopted applications including
Intercom Fin ChatBot in 2024, Stripe Payments in 2023 and Craft CMS in 2023,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Anthropic’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Anthropic’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 Anthropic technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.