Genialis

Overview
News
Precision Medicine?
Product stageSegments
Go-to-Market
?
Bioinformatics
?

Genialis is a computational bioinformatics company that uses its machine-learning-driven ResponderID platform to provide biomarkers for disease modeling, drug development, and clinical care. The biomarker discovery platform uses a people-first framework to model underlying disease biology. In addition, the platform is powered by the Genialis Expressions software, which is a bioinformatic software using analyzed and annotated data to discover biomarkers. 

The company has collaborated with biopharma to analyze clinical trial data and inform future trial designs for investigational drugs and supports the commercialization of next-gen biomarker assays with leading diagnostic firms. Furthermore, as of July 2023, the company claimed it was leading the integration of biology and AI with 10 publications at major scientific conferences featuring results generated with ResponderID.

Key Customers and Partnerships

The company has several key partnerships including BioLab (in March 2018) to develop new algorithms and methods to determine therapeutic options for patients, OncXerna (in April 2022) to identify patients for OncXerna's targeted cancer therapy, and Roche Diagnostics (in October 2018) to develop streamlined next-generation sequencing workflow for gene expression profiling. 

Funding and Financials

In March 2023, the company raised more than USD 13 million in a Series A funding round led by Taiwania Capital and Debiopharm Innovation Fund. The new funds were used to expand the company’s ResponderID platform, develop next-generation patient classifiers using machine learning and high-throughput omics data, and build out clinically validated biomarker models to provide pinpoint diagnoses for cancer patients. The funds were also allocated toward expanding its teams in the US and Slovenia.

HQ location:
Boston MA USA
Founded year:
2015
Employees:
11-50
IPO status:
Private
Total funding:
USD 15.5 mn
Last Funding:
USD 13.0 mn (Series A; Mar 2023)
Last valuation:
USD 1.5 mn (Sep 2013)
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