About SIVOTEC BioInformatics

SIVOTEC BioInformatics offers the GENA AI platform, which automates the analysis of SNP Array genetic test data for rare disease identification. This platform helps commercial labs, hospitals, and academic centers accelerate diagnosis by significantly reducing the manual effort and time required to correlate genetic data with over 7,000 rare diseases.

```xml <problem> Diagnosing rare diseases using SNP array data is a time-consuming and manual process, requiring experts to correlate genetic information with a vast database of over 7,000 known rare diseases. This process creates bottlenecks in commercial labs, hospitals, and academic centers, delaying diagnosis and increasing costs. </problem> <solution> SIVOTEC BioInformatics offers GENA AI, a platform designed to automate the analysis of SNP Array genetic test data, significantly accelerating the identification of rare diseases. By applying artificial intelligence and machine learning, GENA reduces the time required for analysis from days to minutes, enabling faster diagnoses and improved patient outcomes. The platform streamlines workflows, reduces interpretation labor costs, and increases the throughput of genetic labs. GENA facilitates collaboration among distributed teams by providing a centralized master account for uploading and reviewing cases, generating aggregate knowledge, and enhancing report findings. </solution> <features> - AI-powered analysis of SNP array data for rapid rare disease identification - Case-based system allowing users to save and review cases at any point in time - Real-time filtering and search using HPO and clinical features with Boolean logic operators - Case Ontology Navigator, a clickable genomic sunburst chart for visual guidance through the analysis process - Cloud-based SaaS platform with high throughput and service availability - Role-based access control for secure data sharing and collaboration - Ability to upload multiple cases and generate aggregate knowledge across distributed locations </features> <target_audience> The primary target audience includes commercial labs, hospitals, and academic centers involved in genetic testing and rare disease diagnosis. </target_audience> ```

What does SIVOTEC BioInformatics do?

When was SIVOTEC BioInformatics founded?

SIVOTEC BioInformatics was founded in 2018.

How much funding has SIVOTEC BioInformatics raised?

SIVOTEC BioInformatics has raised $14.5M.

Who founded SIVOTEC BioInformatics?

SIVOTEC BioInformatics was founded by Pete Martinez.

Pete Martinez - CEO/Founder

Founded

2018

Funding

$14.5M

Employees

9 employees

SIVOTEC BioInformatics

Founded 20189200+ followers5/10 TractionRelative Traction Score based on online presence metrics compared to companies in the same age group.

Updated 3 months ago

Funding

$14.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Diagnosing rare diseases using SNP array data is a time-consuming and manual process, requiring experts to correlate genetic information with a vast database of over 7,000 known rare diseases. This process creates bottlenecks in commercial labs, hospitals, and academic centers, delaying diagnosis and increasing costs.

Solution

SIVOTEC BioInformatics offers GENA AI, a platform designed to automate the analysis of SNP Array genetic test data, significantly accelerating the identification of rare diseases. By applying artificial intelligence and machine learning, GENA reduces the time required for analysis from days to minutes, enabling faster diagnoses and improved patient outcomes. The platform streamlines workflows, reduces interpretation labor costs, and increases the throughput of genetic labs. GENA facilitates collaboration among distributed teams by providing a centralized master account for uploading and reviewing cases, generating aggregate knowledge, and enhancing report findings.

Target Audience

The primary target audience includes commercial labs, hospitals, and academic centers involved in genetic testing and rare disease diagnosis.

Features

AI-powered analysis of SNP array data for rapid rare disease identification
Case-based system allowing users to save and review cases at any point in time
Real-time filtering and search using HPO and clinical features with Boolean logic operators
Case Ontology Navigator, a clickable genomic sunburst chart for visual guidance through the analysis process
Cloud-based SaaS platform with high throughput and service availability
Role-based access control for secure data sharing and collaboration
Ability to upload multiple cases and generate aggregate knowledge across distributed locations