San Ramon, 94583, CA,
United States
Reproductive Science Center of the SF Bay Area Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Reproductive Science Center of the SF Bay Area and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 50 Reproductive Science Center of the SF Bay Area employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Reproductive Science Center of the SF Bay Area has purchased the following applications: H2O Driverless AI for ML and Data Science Platforms in 2016, Adobe Marketo for Marketing Automation in 2016, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Reproductive Science Center of the SF Bay Area is running and its propensity to invest more and deepen its relationship with H2O.ai , Adobe Systems , Intuit 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 Reproductive Science Center of the SF Bay Area revenues, which have grown to $5.0 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 Reproductive Science Center of the SF Bay Area 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.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| H2O.ai | Legacy | H2O Driverless AI | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Reproductive Science Center of the SF Bay Area implemented H2O Driverless AI. The deployment positioned H2O Driverless AI within ML and Data Science Platforms to support IVF laboratory research and predictive modeling for the clinic's research function.
The implementation leveraged automated feature engineering, automated model selection, and model interpretability capabilities typical of H2O Driverless AI to accelerate exploratory model development for a small research team. The platform surfaced engineered feature combinations that extended domain expertise and supported model scoring and validation workflows used by lab researchers.
Operational scope centered on the IVF laboratory research department, where the Research Director Oleksii Barash led adoption and day to day use. H2O Driverless AI produced candidate models and engineered features for validation and downstream research analysis, enabling the lab to iterate on predictive use cases within clinical research workflows.
Governance was researcher led, with the lab team managing model evaluation and decisions about experimental deployment into research processes. As stated by Oleksii Barash, IVF Laboratory Research Director, Driverless AI is awesome, the feature engineering creates combinations that I would never think of even with my domain knowledge, highlighting the platform's role in expanding hypothesis generation through automated feature construction.
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Adobe Systems | Legacy | Adobe Marketo | Marketing Automation | CRM | n/a | 2016 | 2016 |
In 2016, Reproductive Science Center of the SF Bay Area implemented Adobe Marketo for Marketing Automation on its website. Adobe Marketo was deployed to instrument site pages for visitor tracking and to host landing pages and forms to capture prospective patient contacts. The implementation aligns with Marketing Automation capabilities, enabling campaign orchestration, email nurture flows, and web triggered workflows tailored to a clinic scale environment.
Operational ownership is centered in the clinic's marketing and patient engagement functions, where Adobe Marketo is used to manage contact segmentation, automated messaging, and enrollment in marketing campaigns. Governance emphasizes centralized configuration, content approval, and campaign scheduling to maintain consistent patient communications across the site and email programs. Reproductive Science Center of the SF Bay Area Adobe Marketo Marketing Automation relationship is focused on on site digital engagement and automated campaign management.
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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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2011 | 2011 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2019 | 2019 |
In 2019, Reproductive Science Center of the SF Bay Area deployed Microsoft Azure Cloud Services to host and operate its public website. The implementation uses Microsoft Azure Cloud Services within the Application Hosting and Computing Services category to provide scalable web hosting, cloud compute, durable storage, and managed networking for the site, centralizing the clinic’s online presence on a cloud platform.
Operational scope is focused on the patient-facing website and content delivery, impacting marketing and patient engagement functions and managed by the organization’s IT resources. Governance emphasizes platform administration, content deployment workflows, and cloud-native configuration and monitoring to maintain application runtime, security configuration, and scheduled platform updates while using Microsoft Azure Cloud Services as the primary application hosting environment.
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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