List of Cogia Biotech Customers
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Since 2010, our global team of researchers has been studying Cogia Biotech customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Cogia Biotech for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Cogia Biotech for ML and Data Science Platforms include: UT Southwestern Medical Center, a United States based Education organisation with 18800 employees and revenues of $2.98 billion, AIkido Pharma Inc., a United States based Professional Services organisation with 20 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using Cogia Biotech, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Cogia Biotech customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AIkido Pharma Inc. | Professional Services | 20 | $2M | United States | Cogia Intelligence | Cogia Biotech | ML and Data Science Platforms | 2020 | n/a |
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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UT Southwestern Medical Center | Education | 18800 | $3.0B | United States | Cogia Intelligence | Cogia Biotech | ML and Data Science Platforms | 2020 | n/a |
In 2020, UT Southwestern Medical Center entered a scientific research agreement with AIkido Pharma and Cogia Biotech to apply machine learning to identify genetic markers associated with pancreatic cancer as part of a US-based research program. The engagement deployed Cogia Biotech in an ML and Data Science Platforms role to support genomic marker discovery, diagnostic marker prioritization, and personalized medicine research workflows.
Implementation concentrated on genomic data processing and model development pipelines typical of ML and Data Science Platforms, including data ingestion and normalization, feature extraction from genetic datasets, supervised model training and association analysis. Cogia Biotech produced assembled marker associations and analyses, and workflows were established to surface and rank candidate diagnostic markers for downstream experimental validation.
Operational scope covered collaborative research teams at UT Southwestern Medical Center and AIkido Pharma under the terms of the scientific research agreement, with governance driven by shared research protocols and data sharing arrangements for the US-based program. The outputs from Cogia Biotech were explicitly intended to prioritize diagnostic markers and to guide personalized medicine efforts in pancreatic cancer research.
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