Altair Engineering
1820 E. Big Beaver Road,
Troy, 48083, MI,
United States
Troy, 48083, MI,
United States
1 248-614-2400
Professional Services
Altair Engineering Technographics
Altair Engineering Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Altair Engineering and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 3300 Altair Engineering employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
Altair Engineering has purchased the following applications: Tipalti Invoice Management and Bill Processing System for AP Automation in 2022, UKG Great Place to Work Emprising for Employee Experience, Employee Engagement in 2023, Google TensorFlow for ML and Data Science Platforms in 2023 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Altair Engineering is running and its propensity to invest more and deepen its relationship with Tipalti , Oracle , UKG 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 Altair Engineering revenues, which have grown to $666.0 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 Altair Engineering 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.
Altair Engineering Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tipalti | Legacy | Tipalti Invoice Management and Bill Processing System | AP Automation | ERP Financial Management | n/a | 2022 | 2022 |
In 2022, Altair Engineering implemented the Tipalti Invoice Management and Bill Processing System to centralize vendor invoice intake and standardize bill processing as part of its AP Automation capabilities. The deployment is surfaced on their website to support electronic invoice submission and to capture supplier billing data directly into the invoice processing flow.
The Tipalti Invoice Management and Bill Processing System implementation emphasized invoice capture and data extraction, configurable approval routing, exception handling, and automated validation rules for coding and tax fields. Configuration work focused on workflow orchestration and staged automation to reduce manual touches, with the full application name Tipalti Invoice Management and Bill Processing System used to coordinate invoice lifecycle steps from receipt to posting.
Operational ownership rests with finance and accounts payable teams, with governance established around role based access, approval hierarchies, and audit logging to support control and compliance needs. The implementation supports AP Automation functional terminology such as invoice capture, validation, approval workflow, and exception management, and it is positioned to streamline accounts payable processing across the organization.
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ERP Financial | ERP Financial Management |
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2019 | 2019 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| UKG | Legacy | UKG Great Place to Work Emprising | Employee Experience, Employee Engagement | HCM | n/a | 2023 | 2023 |
In 2023 Altair Engineering deployed UKG Great Place to Work Emprising to support its Employee Experience,Employee Engagement initiatives and to surface employer-branding content on its public website. The UKG Great Place to Work Emprising implementation is positioned as a combined employee engagement and external trust signal, with the full application name UKG Great Place to Work Emprising used in public-facing pages to communicate workplace culture and certification status.
The implementation focuses on standard employee engagement capabilities such as survey administration, engagement analytics and trust index reporting, and employer-branding widgets embedded on Altair’s careers and corporate pages. Operational ownership is described against HR, talent acquisition and employer brand workflows, where HR manages survey cadence, content publication and certification assets through UKG Great Place to Work Emprising, aligning internal engagement measurement with external recruitment messaging.
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Learning and Development | HCM |
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2020 | 2020 |
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Recruiting | HCM |
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2010 | 2010 |
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Recruiting, Applicant Tracking System | HCM |
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2015 | 2015 |
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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 | n/a | 2023 | 2023 |
In 2023, Altair Engineering implemented Google TensorFlow within its ML and Data Science Platforms tooling to build a user-assisting feature for the HyperWorks simulation environment. The work was performed by the HyperWorks core development team in Troy, MI, and focused on applying sequence modeling to in-application user behavior data to support engineering workflows.
The implementation used deep learning sequence modeling techniques, specifically recurrent neural networks, to model user command history data and predict the next command in a sequence. Development artifacts and runtime components were built using Python and Pandas with model training and inference executed in Google TensorFlow, while the final inference output was surfaced through a GUI component inside the simulation client.
Integration concentrated on coupling TensorFlow model inputs to HyperWorks command history telemetry and embedding the inference endpoint into the simulation GUI so that predictions could be called inline during user sessions. The effort impacted software engineering and product development functions within the HyperWorks team, aligning model training, validation, and deployment workflows with application telemetry and UI event streams.
Governance and delivery followed an iterative prototyping approach led by the HyperWorks core development team during the internship period, with test data derived from historical command sequences and model validation performed against held out sequences. The implementation positioned Google TensorFlow as the ML runtime in Altair Engineering ML and Data Science Platforms for next-command prediction use cases in simulation software.
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ML and Data Science 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 |
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Chatbots and Conversational AI | AI-Powered Application |
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2019 | 2019 |
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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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2020 | 2020 |
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Collaboration | Collaboration |
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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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Account Based Marketing | CRM |
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2019 | 2019 |
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Account Based Marketing | CRM |
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2021 | 2021 |
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CRM | CRM |
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2018 | 2018 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2020 | 2020 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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API Management | PaaS |
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2018 | 2018 |
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API Management | PaaS |
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2022 | 2022 |
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Apps Development | PaaS |
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2018 | 2018 |
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Apps Development | PaaS |
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2018 | 2018 |
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Apps Development | PaaS |
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2018 | 2018 |
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Apps Development | PaaS |
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2023 | 2023 |
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Data Migration | PaaS |
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2018 | 2018 |
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Robotic Process Automation | PaaS |
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2018 | 2018 |
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Test Automation Platform | PaaS |
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2015 | 2016 |
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Test Automation Platform | PaaS |
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2020 | 2020 |
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Test Automation Platform | PaaS |
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2020 | 2020 |
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Test Automation Platform | PaaS |
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2020 | 2020 |
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Test Automation Platform | PaaS |
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2020 | 2020 |
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Transactional Email | PaaS |
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2017 | 2017 |
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Transactional Email | 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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2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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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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2018 | 2018 |
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Container Service | IaaS |
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2021 | 2021 |
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Container Service | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Database Management | IaaS |
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2018 | 2018 |
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Database Management, Open-Source Database | IaaS |
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2021 | 2021 |
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Database Management, Open-Source Database | IaaS |
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2023 | 2023 |
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Infrastructure as Code (IaC) | IaaS |
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2018 | 2018 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Endpoint Management | CyberSecurity |
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2025 | 2025 |
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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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Identity and Access Management (IAM) | CyberSecurity |
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2018 | 2018 |
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Vulnerability Management | CyberSecurity |
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2018 | 2019 |
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IT Decision Makers and Key Stakeholders at Altair Engineering
| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
Apps Being Evaluated by Altair Engineering Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Altair Engineering IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Altair Engineering digital transformation priorities and AI adoption trends.
| Date | Company | Status | Vendor | Product | Category | Market |
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FAQ - APPS RUN THE WORLD Altair Engineering Technographics
Altair Engineering is a Professional Services organization based in United States,
with around 3300 employees and annual revenues of $666.0 million.
Altair Engineering operates a diverse technology stack with applications such as
Tipalti Invoice Management and Bill Processing System, UKG Great Place to Work Emprising and Google TensorFlow,
covering areas like AP Automation, Employee Experience, Employee Engagement and ML and Data Science Platforms.
Altair Engineering has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Tipalti, UKG and Google.
Altair Engineering recently adopted applications including
Security Scorecard Platform in 2025, UKG Great Place to Work Emprising in 2023 and Google TensorFlow in 2023,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Altair Engineering’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Altair Engineering’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 Altair Engineering technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.