AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of HashiCorp Terraform Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Ally Bank Banking and Financial Services 10000 $3.7B United States HashiCorp HashiCorp Terraform Robotic Process Automation 2020 n/a
In 2020, Ally Bank deployed HashiCorp Terraform as part of a Robotic Process Automation initiative to codify and automate cloud infrastructure provisioning. HashiCorp Terraform was used to standardize Infrastructure as Code workflows across innovation, non-production and production AWS environments, and to formalize the relationship between the application, infrastructure, and security operations teams. The implementation focused on Terraform scripting to provision EC2 instances, S3 buckets, federated IAM roles and service accounts, and to deploy a three tier architecture on AWS. Terraform-based IaC was also applied to stand up File Integrity Monitoring hosts, specifically Linux OSSEC FIM instances that support Payment Card Industry enclave monitoring, and to manage environment-specific configurations for innovation and production workloads. Terraform work was integrated into a broader operational toolset, with explicit linkages to AWS services such as EC2, S3 and IAM, and coordination with CI/CD and configuration tools referenced in staff notes, including GitLab and Ansible. The implementation operated alongside endpoint and security platforms including CrowdStrike, Venafi, Delinea, Qualys and monitoring stacks such as Splunk, Dynatrace and SolarWinds, and leveraged ServiceNow and Jira for onboarding, decommissioning and incident intake. Governance and rollout followed enterprise change control and documentation practices, including production changes via the enterprise CR process and Big Six operational documents authored in Confluence. Operational controls included periodic API key rotation for critical security applications, automated reporting pulls from CMDB and host tables, and packaging and automation standards for security client health, which contributed to an enhanced enterprise security posture through integrated data classification and DLP solutions ensuring regulatory alignment.
Altair Engineering Professional Services 3300 $666M United States HashiCorp HashiCorp Terraform Robotic Process Automation 2018 n/a
In 2018 Altair Engineering implemented HashiCorp Terraform as part of its Robotic Process Automation strategy to codify infrastructure and automate provisioning across development and production pipelines. The deployment centered on Terraform modules authored to provision AWS compute and orchestration layers, with explicit use of HashiCorp Terraform to define repeatable infrastructure for EC2 instances and EKS clusters.
Amtrak Transportation 22400 $3.6B United States HashiCorp HashiCorp Terraform Robotic Process Automation 2020 n/a
In 2020, Amtrak implemented HashiCorp Terraform as part of a Robotic Process Automation initiative to codify infrastructure provisioning and standardize pipelines-as-code across its DevOps organization. The implementation centered on using HashiCorp Terraform to translate environment specifications into versioned infrastructure-as-code artifacts, aligning infrastructure delivery with CI/CD workflows to support faster, more reliable artifact promotion to production. HashiCorp Terraform was configured to support modular infrastructure patterns and reusable components, with an emphasis on Infrastructure as Code, pipelines-as-code, and documentation-as-code. Functional capabilities implemented included codified environment provisioning, modular IaC libraries for repeatable network and compute constructs, and automation of environment lifecycles to be invoked from CI/CD pipelines. The implementation also encompassed pipeline orchestration practices using Jenkins Pipeline, GitHub Actions, and GitLab CI as part of build and deploy automation. Integrations explicitly included AWS CloudFormation and Ansible in conjunction with Terraform, and the deployment approach accounted for multi-cloud considerations, with AWS noted as the preferred cloud and Azure and GCP referenced for platform familiarity. Operational scope covered software engineering and IT operations teams, with on site work locations identified in Washington, D.C., Philadelphia, PA, Wilmington, DE, and Chicago, IL, and responsibilities extending to cross-functional teams that manage code, builds, and runtime environments. Governance and rollout incorporated Documentation as Code, unit and integration testing regimens, and security and compliance controls embedded into pipelines, including SAST, DAST, secret scanning, and Software Bill of Materials creation. The program included creation of developer enablement artifacts and portals to accelerate team onboarding, and established pipeline security tollgates and reporting practices for build health and security posture. The stated objective of the HashiCorp Terraform implementation was to improve efficiency and reliability of deployments while enforcing consistent infrastructure standards across Amtrak engineering teams.
Anthropic Professional Services 2500 $10.0B United States HashiCorp HashiCorp Terraform Robotic Process Automation 2022 n/a
In 2022, Anthropic implemented HashiCorp Terraform. The deployment positioned HashiCorp Terraform inside Robotic Process Automation workflows to codify cloud infrastructure that underpins large scale machine learning research and model serving. Configuration centered on infrastructure as code modules for compute provisioning, network architecture, Kubernetes cluster lifecycle management, and load balancing configuration. Terraform templates were used to codify provisioning for a Kubernetes cluster with thousands of nodes, to define fault tolerant infrastructure patterns, and to capture operational monitoring playbooks and alerting runbooks. Integrations focused on Kubernetes orchestration and the cloud deployment, with Terraform used to provision node pools, networks, and load balancers while aligning with existing monitoring and alerting tooling. Operational coverage spanned infrastructure engineering and research machine learning teams, with engineers pairing to tune infrastructure for serving large ML models and to optimize high performance networking strategies. Governance and rollout were led by senior infrastructure engineering ownership, including responsibility to migrate a cloud deployment to Terraform, document reusable Terraform modules, and embed infrastructure changes into research workflows. The implementation emphasized reproducible infrastructure as code, modular HashiCorp Terraform configuration, and playbooks for cluster incident response to support Anthropic research and production operations.
ANZ Banking and Financial Services 40072 $15.7B Australia HashiCorp HashiCorp Terraform Robotic Process Automation 2016 n/a
In 2016, ANZ Bank implemented HashiCorp Terraform. ANZ Bank implemented HashiCorp Terraform in 2016 within a Robotic Process Automation context to provide infrastructure as code capabilities for DevOps and cloud engineering teams supporting application delivery. The implementation centered on using HashiCorp Terraform to build and manage AWS infrastructure as code, with reusable configuration constructs and modular templates to codify network, compute, and platform provisioning. Teams extended this work into platform automation by building and managing Helm charts using a library chart approach and producing Docker base images and pipeline runners to standardize deployments. HashiCorp Terraform was integrated into CI and CD toolchains, explicitly working alongside Codefresh, Jenkins and GitHub for automated build and deployment pipelines, and provisioning resources on Amazon Web Services and OpenShift. Operational scope included migrating microservices from on premise to AWS as part of a regulatory program, leading an OpenShift 3 to OpenShift 4 application migration, and coordinating an IBM MQ application-side upgrade planning effort. Governance and process changes were driven by centralized infrastructure-as-code standards and squad-level onboarding, with DevOps and cloud engineering teams drafting and executing migration plans for middleware upgrades and performing a SaaS Dynatrace rollout for applications running on Solaris and OpenShift. The HashiCorp Terraform implementation supported standardized CI/CD frameworks, cross-squad collaboration, and platform-level orchestration without introducing vendor partner attribution.
Banking and Financial Services 3381 $2.2B Philippines HashiCorp HashiCorp Terraform Robotic Process Automation 2018 n/a
Banking and Financial Services 1000 $150M Mexico HashiCorp HashiCorp Terraform Robotic Process Automation 2021 n/a
Construction and Real Estate 55000 $22.0B United States HashiCorp HashiCorp Terraform Robotic Process Automation 2016 n/a
Professional Services 2500 $1.3B United States HashiCorp HashiCorp Terraform Robotic Process Automation 2018 n/a
Professional Services 3000 $731M United States HashiCorp HashiCorp Terraform Robotic Process Automation 2018 n/a
Showing 1 to 10 of 40 entries

Buyer Intent: Companies Evaluating HashiCorp Terraform

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating HashiCorp Terraform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating HashiCorp Terraform for Robotic Process Automation include:

  1. Datadog, a United States based Professional Services organization with 5200 Employees
  2. Res2, a Netherlands based Professional Services company with 50 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
Datadog Professional Services 5200 $1.8B United States 2026-04-13
Res2 Professional Services 50 $7M Netherlands 2025-10-15
FAQ - APPS RUN THE WORLD HashiCorp Terraform Coverage

HashiCorp Terraform is a Robotic Process Automation solution from HashiCorp.

Companies worldwide use HashiCorp Terraform, from small firms to large enterprises across 21+ industries.

Organizations such as U.S Department of Transportation, J Sainsbury, Molina Healthcare, KDDI and Larsen & Toubro are recorded users of HashiCorp Terraform for Robotic Process Automation.

Companies using HashiCorp Terraform are most concentrated in Government, Retail and Insurance, with adoption spanning over 21 industries.

Companies using HashiCorp Terraform are most concentrated in United States, United Kingdom and Japan, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of HashiCorp Terraform across Americas, EMEA, and APAC.

Companies using HashiCorp Terraform range from small businesses with 0-100 employees - 5%, to mid-sized firms with 101-1,000 employees - 17.5%, large organizations with 1,001-10,000 employees - 27.5%, and global enterprises with 10,000+ employees - 50%.

Customers of HashiCorp Terraform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified HashiCorp Terraform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Robotic Process Automation.