About Cipherome

Cipherome offers the COMPASS Data Analysis Platform, which enables researchers to extract, clean, and analyze clinical and genomic data without the need for coding. This platform addresses the inefficiencies in healthcare data analysis by streamlining the research process, allowing users to focus on deriving insights and making informed decisions.

<problem> Healthcare researchers often face challenges in extracting, cleaning, and analyzing clinical and genomic data due to the complexities of diverse data sources and the need for coding expertise. Traditional data analysis workflows using tools like Jupyter notebooks and custom scripts can be time-consuming and require specialized skills, hindering research progress. </problem> <solution> Cipherome's COMPASS Data Analysis Platform provides a no-code, end-to-end solution for healthcare data analysis, enabling researchers to extract, transform, and analyze clinical and genomic data efficiently. The platform simplifies the research process by offering an intuitive graphical user interface (GUI) for data extraction, cohort querying, statistical analysis, and AI model training. COMPASS allows researchers to focus on deriving insights and making informed decisions without the need for extensive coding or specialized data engineering skills. By streamlining data analysis workflows, COMPASS accelerates research, facilitates evidence-based insights, and empowers researchers to unlock the full potential of healthcare data. </solution> <features> - Effortless extraction of clinical and genomic data from diverse sources via an intuitive GUI. - Seamless data transformation of raw healthcare data (e.g., biobank, EHR, EDC) into clean, structured formats. - Cohort querying with a few clicks, enabling precise selection of subjects based on customized criteria. - Comprehensive data exploration through intuitive visualizations and numerical summaries. - Statistical analysis without coding, empowering users to explore and analyze data comprehensively. - AI model training capabilities, harnessing machine learning for predictive analytics. - On-premises solution available for secure data management within a private environment. - Integration with UK Biobank and MIMIC-IV databases in OMOP CDM format. </features> <target_audience> The primary target audience includes healthcare researchers, bio-statisticians, and data scientists working in clinical research, genomic analysis, and AI-based predictive modeling. </target_audience>

What does Cipherome do?

Where is Cipherome located?

Cipherome is based in San Jose, United States.

When was Cipherome founded?

Cipherome was founded in 2016.

How much funding has Cipherome raised?

Cipherome has raised 21000000.

Location

San Jose, United States

Founded

2016

Funding

21000000

Employees

15 employees

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Cipherome

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Executive Summary

cipherome.com 2K+

Crunchbase

Founded 2016 – San Jose, United States

Funding

Estimated Funding

$20M+

Team (15+)

No team information available.

Company Description

Problem

Healthcare researchers often face challenges in extracting, cleaning, and analyzing clinical and genomic data due to the complexities of diverse data sources and the need for coding expertise. Traditional data analysis workflows using tools like Jupyter notebooks and custom scripts can be time-consuming and require specialized skills, hindering research progress.

Solution

Cipherome's COMPASS Data Analysis Platform provides a no-code, end-to-end solution for healthcare data analysis, enabling researchers to extract, transform, and analyze clinical and genomic data efficiently. The platform simplifies the research process by offering an intuitive graphical user interface (GUI) for data extraction, cohort querying, statistical analysis, and AI model training. COMPASS allows researchers to focus on deriving insights and making informed decisions without the need for extensive coding or specialized data engineering skills. By streamlining data analysis workflows, COMPASS accelerates research, facilitates evidence-based insights, and empowers researchers to unlock the full potential of healthcare data.

Features

Effortless extraction of clinical and genomic data from diverse sources via an intuitive GUI.

Seamless data transformation of raw healthcare data (e.g., biobank, EHR, EDC) into clean, structured formats.

Cohort querying with a few clicks, enabling precise selection of subjects based on customized criteria.

Comprehensive data exploration through intuitive visualizations and numerical summaries.

Statistical analysis without coding, empowering users to explore and analyze data comprehensively.

AI model training capabilities, harnessing machine learning for predictive analytics.

On-premises solution available for secure data management within a private environment.

Integration with UK Biobank and MIMIC-IV databases in OMOP CDM format.

Target Audience

The primary target audience includes healthcare researchers, bio-statisticians, and data scientists working in clinical research, genomic analysis, and AI-based predictive modeling.