New York, 10013, NY,
United States
Experiment Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Experiment and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 5 Experiment employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Experiment has purchased the following applications: Clara Interview Scheduling for Interview Scheduling in 2017, Google Workspace (Formerly Google G-Suite) for Collaboration in 2013, Mixpanel for Marketing Analytics in 2014 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Experiment is running and its propensity to invest more and deepen its relationship with Clara Labs , Google , Mixpanel 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 Experiment revenues, which have grown to $1.0 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 Experiment 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 |
|---|---|---|---|---|---|---|---|---|
| Clara Labs | Legacy | Clara Interview Scheduling | Interview Scheduling | HCM | n/a | 2017 | 2017 |
In 2017, Experiment implemented Clara Interview Scheduling as its Interview Scheduling solution to coordinate interviews and meetings for its small professional services firm. The deployment was centered on the CEO as primary user, with Cindy Wu using Clara Interview Scheduling while traveling across America to arrange meetings with scientists. The implementation prioritized automated, assistant-like scheduling workflows to present an always-on scheduler for external interviewees.
Functional use emphasized availability polling, automated meeting confirmations, and natural language scheduling flows that are typical of the Interview Scheduling category, configured for a single executive workflow rather than enterprise role based access. Operational coverage was narrow and practical, focused on CEO level calendar and external interview coordination for a five person company, and rollout was effectively a single-user production use case with minimal governance. Cindy Wu reported that Clara was most useful while on the road and that Clara Interview Scheduling made it seem like she had an assistant without hiring a human assistant, indicating the implementation stressed personal productivity and lightweight operational controls.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2013 | 2013 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Mixpanel | Legacy | Mixpanel | Marketing Analytics | CRM | n/a | 2014 | 2014 |
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Marketing Automation | CRM |
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2016 | 2016 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2014 | 2014 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2014 | 2014 |
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Transactional Email | PaaS |
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2014 | 2014 |
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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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2014 | 2014 |
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Cloud Storage | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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