BigRNA
Proprietary foundation model trained on over a trillion signals from RNA sequencing datasets
Company profile
The AI-driven genetic medicines platform company
Company profile
Deep Genomics is a pioneering AI-driven drug discovery company founded in 2015 that leverages Biological Foundation Models (BioFMs) to discover and develop genetic medicines. The company operates at the intersection of artificial intelligence, genomics, and drug development, employing approximately 100 team members with expertise spanning machine learning, molecular biology, clinical development, and software engineering. Deep Genomics' proprietary BioFM Platform enables scalable molecular design and target biology discovery through lab-in-the-loop workflows that integrate AI predictions with experimental validation. The platform includes advanced models like BigRNA, trained on over a trillion signals from high-throughput sequencing datasets, REPRESS for predicting microRNA binding and mRNA degradation, and DeepADAR for designing guide RNAs for ADAR-mediated editing. The company operates experimental facilities totaling over 10,000 square feet across Toronto, Ontario and Cambridge, Massachusetts, where computational and experimental scientists collaborate to design fit-for-purpose datasets and validate therapeutic programs. Deep Genomics serves both internal drug discovery programs and partnerships with major pharmaceutical companies, applying its technology to identify therapeutic targets and design molecules that others would miss.
Company description Deep Genomics official website
Mission. Building, running and improving the world's best Biological Foundation Models in an effort to transform the field of drug discovery - finding molecules and targets others would miss, and accelerating their development into life changing medicines for patients.
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Api Only · Hybrid deployment with recorded integration context.
Company milestones
REPRESS model announced May 2025; Executive hires including Monika Kowalczyk MD PhD as VP Platform Technology and Greg Hoffman PhD as CSO in April 2025; Thong Q. Le and Paul Sekhri joined Board of Directors October 2025; Cambridge MA office expansion June 2024; BigRNA foundation model launched 2021 with significant enhancements through 2025
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Proprietary foundation model trained on over a trillion signals from RNA sequencing datasets
AI-driven genetic medicines platform with lab-in-the-loop workflows for drug discovery
AI model for designing guide RNAs to induce ADAR-mediated editing across trinucleotide contexts
Deep learning model predicting cell-type-specific microRNA binding and mRNA degradation from RNA sequence
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Scientific reports · Oct 28, 2025
Assessing Hybridization-Dependent Off-Target Risk for Therapeutic Oligonucleotides: Updated Industry Recommendations.Nucleic acid therapeutics · Feb 1, 2025
Comprehensive whole-genome sequence analyses provide insights into the genomic architecture of cerebral palsy.Nature genetics · Apr 1, 2024
Gene copy number variation and pediatric mental health/neurodevelopment in a general population.Human molecular genetics · Jul 20, 2023
Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization Study.JAMA network open · Jul 3, 2023
A curated census of pathogenic and likely pathogenic UTR variants and evaluation of deep learning models for variant effect prediction.Frontiers in molecular biosciences · Jan 1, 2023
Clinical validation
No linked records are currently available.
Regulatory
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04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Foundation model for RNA biology
BigRNA model evolution since 2021
DeepADAR endogenous editing prediction
Comprehensive suite of orthogonal tasks including variant identification and reporter assay prediction
05 · Leadership
Leadership profiles and professional links from the current Company record.
06 · Company updates
Recent articles published on Deep Genomics's official website.
07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies using AI to analyze genomic, proteomic, metabolomic, or multi-omics data to provide personalized treatment recommendations, identify genetic risks, or develop targeted therapies. Includes genomic sequencing platforms with AI analysis, preventive medicine based on genetic risk assessment, and longevity care based on molecular and genetic data.
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