Got a question?
What makes your search actually work?
Two things: First, we couple large language modeling with a proprietary hypergraph that represents the complexity of precision medicine. This approach gets the models closer than any other technology to physician level understanding of the data.
Second, we solved computational problems to traverse Hypergraphs at laser fast speed and affordable cost, enabling the technology to work in real-life scenarios.
Second, we solved computational problems to traverse Hypergraphs at laser fast speed and affordable cost, enabling the technology to work in real-life scenarios.
What is a Hypergraph vs. a Knowledge graph?
A hypergraph is a generalization of a graph, allowing edges to connect any number of vertices. Knowledge graphs are typically based on simple graphs, limiting the representation of complex relationships.
Why can’t I build my own Hypergraph?
Building a clinical Hypergraph requires extensive domain expertise, large-scale data curation, and complex algorithmic development. It is a time-consuming and resource-intensive process that most organizations may find challenging to undertake independently.
Hypergraphs are slow?
Not necessarily. Our Hypergraph technology utilizes innovative algorithms and data structures specifically designed for efficient hypergraph analysis, enabling quick traversal and querying even with a large number of nodes and relationships.
Who are the experts behind the Hypergraph?
Our Hypergraph is developed by a team of AI scientists and clinical experts who have worked together for years to curate knowledge and build a scalable solution tailored to the unique challenges of the clinical domain.
What ontology are you using?
We have developed a proprietary ontology called the “Generative Ontology” that combines principles of generative grammar and ontology to create a scalable and adaptable system for modeling the clinical domain.
Can I trust the logic?
Yes, our Hypergraph is expert-curated and open, allowing clinical teams to audit the logic. The underlying language models are trained on actual medical data and records, not just internet data.
Is this a rule-based system?
No, our platform combines both symbolic reasoning (through the Hypergraph) and machine learning (through language models) to achieve a more comprehensive and flexible approach to clinical reasoning, going beyond traditional rule-based systems.
What data does Hypercube Cohort ingest?
Hypercube Cohort 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 Cohort hosted?
It is cloud agnostic enabling hosting in your environment so that data never leaves and 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 is designed to complement rather than replace your current workflow with upstream and downstream integrations. Integrations with your current data warehouse such as Databricks and Snowflake, 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 and avoid getting locked into on language model. The secret sauce is our proprietary Hypergraph technology that adds deterministic clinical reasoning capabilities.
What data does Hypercube Charts ingest?
Hypercube Charts 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 Charts hosted?
It is cloud agnostic enabling hosting in your environment so that data never leaves and comes with Mendel hosting options.
Is Hypercube Charts extensible using APIs?
Yes.
How can I try Hypercube Charts?
We offer "Try Me" environments with synthetic data. Please contact sales.
What connectors does Hypercube support?
Hypercube is designed to complement rather than replace your current workflow with upstream and downstream integrations. Integrations with your current data warehouse such as Databricks and Snowflake, 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 and avoid getting locked into on language model. The secret sauce is our proprietary Hypergraph technology that adds deterministic clinical reasoning capabilities.
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 is designed to complement rather than replace your current workflow with upstream and downstream integrations. Integrations with your current data warehouse such as Databricks and Snowflake, 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 and avoid getting locked into on language model. The secret sauce is our proprietary Hypergraph technology that adds deterministic clinical reasoning capabilities.
Can you deploy in my environment?
Yes, we can deploy de-identification in your environment.
Do you handle faxes and PDFs?
Yes, we have a robust OCR system that feeds the de-identification solution.
Can the system go beyond the HIPAA safe harbor?
Yes, we go beyond the safe harbor and customers can add additional variables they want to de-identify.
What is an expert determination and why is it important?
Expert determination is the process of having a qualified third party certify the redaction results are in compliance with HIPAA guidelines. Mendel works directly with Mirador Analytics, the leading HIPAA Expert Determination provider, to review and certify Mendel’s redaction results are within HIPAA stated guidelines and in compliance.
