Hypercube Analyst

Swiss Army Knife for clinical data discovery and curiosity

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Why Hypercube Analyst is Superior to Traditional SQL

Consistent query execution time
Simplified Query Complexity
Superior Recall
Ensures fast, consistent query execution, regardless of complexity, unlike traditional SQL.
Mendel enables efficient clinical data analytics
Reduces query complexity, making construction easier and minimizing errors.
Graph showing how fast Mendel reduces query complexity.
Hypercube Analyst's enriched ontology ensures comprehensive data retrieval, enhancing accuracy.
Mendel enables efficient clinical data analytics
Our Solution

Advanced Hypergraph Data Modeling

Hypercube Analyst uses hypergraph technology for clinical data analytics, offering a robust framework for managing complex, multi-dimensional relationships in clinical data.
Capture Complex Relationships
Comprehensive patient and biomedical analysis.
Integrate Temporal
Data
Detailed patient histories for historical insights and trend analysis.
Enable Efficient
Queries
Fast, semantic queries across multiple databases for enhanced data interoperability and retrieval.
Hypercube Analyst Key Features

Transforming Data into Actionable Insights

Federate and temporal querying.

Seamlessly query across multiple databases and analyze changes over time, enhancing data access, trend analysis, and compliance tracking.

Speed & efficiency.

Achieves nearly tenfold gains in query time, accuracy, and cost efficiency compared to traditional SQL-based analytics​​​​.

Enhanced clinical reasoning.

Provides better recall and accurate patient cohort identification through superior clinical reasoning and ontology-based organization​​​​.

Low-code interface.

An easy-to-use, low-code interface simplifies query execution, allowing users of all skill levels to a complex data analysis, democratizing data analytics.
3 database icons on the left with arrows pointing from each database to one Hypercube Analyst icon
Traditional SQL is crossed out on top of Mendel's SQL
Mendel making AI work in clinical data
AI driven Clinical Data Analytics

Federate and temporal querying.

Seamlessly query across multiple databases and analyze changes over time, enhancing data access, trend analysis, and compliance tracking.
3 database icons on the left with arrows pointing from each database to one Hypercube Analyst icon

Speed & efficiency.

It achieves nearly tenfold gains in query time, accuracy, and cost efficiency compared to traditional SQL-based analytics​​​​.
Top product skin is showing "Traditional SQL" with an execution time of 2 minutes. Bottom product skin is showing "Mendel SQL" with an execution time of 80 milliseconds.

Enhanced clinical reasoning.

The system provides better recall and accurate patient cohort identification through superior clinical reasoning and ontology-based organization​​​​.
Mendel making AI work in clinical data

Low-code interface.

An easy-to-use, low-code interface simplifies query execution, allowing users of all skill levels to a complex data analysis, thus democratizing data analytics.
AI driven Clinical Data Analytics

Hypercube Analyst unlocks these key benefits for businesses

Boosts performance and scalability icon
Boosts Performance
and Scalability
Connect seamlessly with multiple data sources icon
Connects Seamlessly with Multiple Data Sources
SQL icon
Easy to Use
with Familiar SQL
Cost effective solution icon
Cost Effective Solution
Leverages existing user interfaces and visualization tools icon
Leverages Existing
User interfaces and Visualization Tools
Strong security and compliance icon
Strong Security
and Compliance

Plug It Into What You Already Use

Integrates with your existing BI, ETL, and data ingestion tools.

Data stays with you with plug and play implementation, supporting 50+ connectors and 20+ visualization and SQL tools.

Enables you to leverage our pre-trained or couple the LLM of your choice.

LLM icon
LLM
Hypercube icon
Hypercube
Interfaces
Tableau logo
Thoughtspot logo
Amazon QuickSight logo
R logo
Jupyter logo
SAS logo
Data Sources
Google BigQuery logo
Snowflake logo
Databricks logo
View All Integrations
Real Results

Impacting Query Efficiency, Error Reduction, and Cost Savings

Query efficiency icon
10x
Increase in Query Efficiency
Reduction graph icon
90%
Reduction in Error Rate
Reducing cost icon
>80%
Cost Reduction
view White Paper

Case Studies and Publications

Introducing Mendel's New Brand Focus: Supercharging Clinical Data Workflows in Healthcare
Read More
→
Faithfulness Hallucination Detection in Healthcare AI: Ensuring Reliable Medical Summaries
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→
Revolutionizing Patient Cohort Identification with AI – Insights from Mendel’s ACR Benchmark
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→
View Success Stories

Got a question?

What data does Hypercube Analyst ingest?
Hypercube Analyst processes structured data and unstructured RWD and clinical trials data. This can be pathology reports, genomic data, doctor notes, claims, diagnostic data, EDC data, etc.
How is Hypercube Analyst hosted?
It is cloud-agnostic, enabling hosting in your environment so that data never leaves and comes with Mendel hosting options.
Is Hypercube Analyst extensible using APIs?
Yes.
How can I try Hypercube Analyst?
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.
View All FAQs

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