SoulBio is an AI‑native partner that helps biotech teams answer critical biological questions and accelerate discovery programs. By integrating literature, internal data, and multi‑omics analyses, they provide immediate scientific insights—such as target prioritization or biomarker identification—and build organizational capabilities to continuously generate evidence for faster decision‑making.
Funding
Funding not disclosed
Founders
Product
Problem
Biotech teams often have abundant data and tools but struggle to integrate literature, internal evidence, and prior analyses into coherent, reproducible workflows that directly inform key scientific decisions such as target prioritization or biomarker identification.
Solution
SoulBio offers an AI‑native platform that aggregates public literature, internal datasets, and previous analyses into a unified knowledge base. The system applies multi‑omics integration, computational biology methods, and machine‑learning models to generate actionable evidence for specific discovery questions, such as ranking oncology targets or finding treatment‑response biomarkers. Human experts review and validate the AI outputs, ensuring scientific rigor and traceability. The platform also captures the reasoning, evidence, and workflow steps, creating reusable, auditable pipelines that can be applied to future projects. By standardizing these processes, SoulBio enables faster, data‑driven decision making while building organizational capability for continuous knowledge accumulation.
Target Audience
Primary customers are biotech R&D teams focused on target discovery, biomarker development, and program knowledge management, particularly in oncology and precision‑medicine programs.
Features
- Integrated data ingestion engine that consolidates literature, internal experimental results, and prior analyses into a searchable knowledge graph
- AI-driven multi‑omics analysis pipelines that generate target ranking scores, biomarker candidates, and disease relevance metrics
- Human‑in‑the‑loop review interface that validates AI predictions and documents rationale for regulatory traceability
- Reusable workflow templates with built‑in approval checkpoints, enabling consistent execution across projects
- Automated provenance tracking and versioned reporting to ensure reproducibility and auditability
- API and export tools that allow downstream integration with existing bioinformatics and LIMS environments