New York, 10001, NY,
United States
Beeswax Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Beeswax and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 150 Beeswax employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Beeswax has purchased the following applications: Greenhouse ATS for Applicant Tracking System in 2019, H2O Open Source ML for ML and Data Science Platforms in 2016, Google Workspace (Formerly Google G-Suite) for Collaboration in 2015 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Beeswax is running and its propensity to invest more and deepen its relationship with Greenhouse , H2O.ai , 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 Beeswax revenues, which have grown to $12.0 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 Beeswax 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2019 | 2019 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| H2O.ai | Legacy | H2O Open Source ML | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Beeswax implemented H2O Open Source ML as its core ML and Data Science Platforms solution to support advanced analytics and predictive modeling across its data science organization. The deployment focused on enabling iterative model development and production scoring within the company data science team, led by Chief Data Scientist Sergei Izrailev.
Configuration emphasized platform-native model training and experiment workflows, including automated machine learning capabilities, feature engineering pipelines, distributed in-memory processing for large datasets, and model serialization for operational scoring. H2O Open Source ML was used to standardize development artifacts and reproducible model workflows, aligning with common ML and Data Science Platforms practices for versioning and lifecycle management.
Operational governance was driven by data science leadership, with rollout targeted at analytics and applied modeling functions rather than a broad ERP or CRM replacement. Beeswax cited vendor expertise as a critical operational support, Sergei Izrailev stating, "H2O has the experts on their team that can help us. That makes my life easier because people on my team can focus on the business needs," which underscores how external product and services support was used to reduce operational overhead for the internal data science organization.
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2015 | 2015 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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|
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Document Management | Content Management |
|
2017 | 2017 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
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CRM | CRM |
|
2021 | 2021 |
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Customer Support | CRM |
|
2016 | 2016 |
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Digital Advertising Platform | CRM |
|
2021 | 2021 |
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Marketing Automation | CRM |
|
2017 | 2017 |
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Marketing Automation | CRM |
|
2021 | 2021 |
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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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|
|
Incident Management | ITSM |
|
2018 | 2018 |
|
TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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|
|
Governance, Risk and Compliance | TRM |
|
2020 | 2020 |
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Governance, Risk and Compliance | TRM |
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2020 | 2020 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Transactional Email | PaaS |
|
2016 | 2016 |
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Transactional Email | PaaS |
|
2017 | 2017 |
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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 |
|
2019 | 2019 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
|
2020 | 2020 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2021 | 2021 |
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Secure Email Gateways (SEGs) | CyberSecurity |
|
2021 | 2021 |
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