GENOBOTICS AI provides a cloud‑native platform that applies deep‑learning models to automatically annotate genomic variants and predict their therapeutic relevance. Users upload standard formats (VCF, BAM, FASTQ) and receive batch‑processed results within minutes via RESTful APIs or an interactive dashboard, with end‑to‑end encryption and HIPAA/GDPR compliance for pharmaceutical, biotech, and academic precision‑medicine teams.
Funding
$1M 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.
Founders
Product
Problem
Genomic research generates massive volumes of sequencing data, but existing analysis pipelines struggle to rapidly interpret variants and prioritize drug targets. The manual curation and fragmented tools lead to delayed insights, limiting the pace of precision‑medicine projects.
Solution
GENOBOTICS AI provides a cloud‑native platform that applies purpose‑built deep‑learning models to raw genomic datasets, delivering automated variant annotation and predictive scoring of therapeutic relevance. Users upload standard formats (e.g., VCF, BAM) and receive batch‑processed results within minutes, bypassing labor‑intensive manual review. The system integrates with common bioinformatics workflows via RESTful APIs and offers an interactive dashboard for visual exploration of variant impact and target confidence. Continuous model retraining on curated public and proprietary datasets ensures up‑to‑date predictive performance. All data are encrypted in transit and at rest, meeting clinical‑grade security standards.
Target Audience
The primary customers are genomics and drug‑discovery teams in pharmaceutical companies, biotech firms, and academic precision‑medicine programs that need high‑throughput, AI‑driven variant interpretation.
Features
- Custom convolutional and transformer‑based models optimized for single‑nucleotide variant effect prediction and splice‑site disruption assessment
- Scalable compute engine that processes millions of variants per run using containerized microservices on major cloud providers
- Native support for VCF, BAM, and FASTQ inputs with automatic quality filtering and annotation enrichment from public databases (ClinVar, gnomAD)
- API endpoints for drug‑target scoring that output ranked candidate lists with confidence intervals for downstream prioritization
- Interactive web UI with heat‑maps, Manhattan plots, and drill‑down tables to explore variant significance and pathway associations
- End‑to‑end encryption, role‑based access control, and audit logging to satisfy HIPAA and GDPR compliance requirements