New York, 10020, NY,
United States
AIkido Pharma Inc. Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by AIkido Pharma Inc. and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 20 AIkido Pharma Inc. employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that AIkido Pharma Inc. has purchased the following applications: Cogia Biotech for ML and Data Science Platforms in 2020, Microsoft 365 for Collaboration in 2020, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems AIkido Pharma Inc. is running and its propensity to invest more and deepen its relationship with Cogia Intelligence , Microsoft , GoDaddy 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 AIkido Pharma Inc. revenues, which have grown to $2.0 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 AIkido Pharma Inc. 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 |
|---|---|---|---|---|---|---|---|---|
| Cogia Intelligence | Legacy | Cogia Biotech | ML and Data Science Platforms | AI Development | n/a | 2020 | 2020 |
In 2020, AIkido Pharma Inc. engaged Cogia Biotech to accelerate pancreatic ductal adenocarcinoma genetic-marker research in the United States. AIkido Pharma Inc. used Cogia Biotech, an ML and Data Science Platforms application, to assemble and analyze marker and antibody data as part of a focused research collaboration supporting diagnostic and therapeutic discovery.
The implementation leveraged Cogia Biotech's Diagnostic Assay and Prognostic Marker Characterization applications to ingest high dimensional molecular and antibody information, orchestrate big-data analytics, and surface candidate marker signatures and marker clusters. Functional capabilities implemented included assay characterization workflows, prognostic marker profiling, and machine learning driven marker clustering and candidate prioritization consistent with ML and Data Science Platforms workflows.
Operationally the engagement ran as a research collaboration across AIkido Pharma research teams in the United States, with outputs assembled for downstream diagnostic assay development and therapeutic target validation. The project produced identified candidate markers and marker clusters to support diagnostics and therapeutics, and used assembled marker and antibody information for subsequent development steps.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2020 | 2020 |
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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 | 2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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