Hypercube Cohort

Transform Cohort Analysis with Precision and Speed

Hypercube enables healthcare and life sciences to define cohorts, leveraging all their diverse data sources with accuracy and scale not possible with general-purpose AI models.

Proven Results
F1
Processing Time
~ Cost per Query
Hypercube
70.36%
12 milliseconds
$0.01
Chat GPT4
40.54%
4.38 hours
$128
LLAMA-2
34.53%
7.02 hours
$9.30
Table of comparing Hypercube, ChatGPT4, and LLAMA on F1, Processing Time, and ~ Cost Per Query.
Hypercube Cohort Key Features

Streamline Your Cohort Analysis in Three Simple Steps

Build your cohort.

Utilize Hypercube Cohort’s intuitive interface to select specific patient attributes and criteria from extensive clinical datasets, ensuring the creation of a highly targeted and relevant cohort. This streamlined process enables precise cohort compilation tailored to your analytical needs.
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Discover insights.

Apply Hypercube Cohort's robust analytical tools to delve into the data, uncovering significant trends, patterns, and actionable insights. This step transforms raw data into valuable knowledge, driving informed clinical and research decisions.
Product skin of modifying a cohort

Modify & refine.

Continuously enhance your cohort by refining criteria based on initial discoveries and iterative feedback. Once optimized, effortlessly share the refined cohort and derived insights with a broader audience to promote collaborative analysis and informed decision-making.
Product skin of Funnel Attrition
Hypercube: Delivering Trusted Insights
LLM icon

AI that understands precision medicine.

Hypercube Cohort uses advanced clinical reasoning to capture and represent data nuances accurately. For example, to find patients who have never undergone cancer surgery, simply query the system with specific criteria to quickly identify the relevant cohort.

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Product that understands precision medicine.

Hypercube Cohort is a versatile tool for cohort discovery. It offers features like funnel analysis to determine drop rates per criteria, direct API access to clinicaltrial.gov, and partner-crowdsourced templates, empowering you to gain deeper insights and handle data more efficiently.

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Trusted results. For everyone.

Hypercube supports everyday language for business users and statistical language for technical users, maintaining transparency with clear evidence for each result from the original data. This allows quick insight into algorithm errors, unlike "black-box" systems with many parameters that obscure mistake interpretation.

Real Results

How Hypercube Transformed Cohort Analysis

Precision icon
3x
Increase of Precision
Increasing icon
5x
Increase in Yield
Increase value icon
10 mil
Potential Value Unlocked
view White Paper

Case Studies and Publications

View Success Stories

Got a question?

What data does Hypercube Cohort ingest?
Hypercube Cohort processes structured data, unstructured real-world data (RWD), and clinical trials data, including pathology reports, genomic data, doctor's notes, claims, diagnostic data, electronic data capture (EDC) data, etc.
How is Hypercube Cohort hosted?
It is cloud-agnostic, enabling hosting in your environment so that data never leaves. It also comes with Mendel hosting options.
Is Hypercube Cohort extensible using APIs?
Yes.
How can I try Hypercube Cohort?
We offer "Try Me" environments with synthetic data. Please contact sales.
What connectors does Hypercube support?
Hypercube complements your current workflow with upstream and downstream integrations, including your current data warehouse such as Databricks and Snowflake, and most BI tools like Tableau, Qlik, etc. View all integrations here.
I already have an LLM trained on my data, does it replace it?
Our architecture is LLM agnostic, enabling you to leverage our pre-trained LLM or use the LLMs of your choice, avoiding lock-in to one language model. The secret sauce is our proprietary Hypergraph technology, which adds deterministic clinical reasoning capabilities.

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