Genie TechBio: The World's First AI Bioinformatician
Genie TechBio is developing an LLM-powered omics analysis software that operates entirely in natural language—no coding needed, just like working with human experts. Researchers can engage in a conversation with Genie and let it perform data analysis heavy lifting, freeing scientists to focus on the science.
How it works
- Upload dataset — Users submit their dataset and describe the experiment in natural language.
- Chat to instruct Genie — Genie offers recommendations for analysis pipelines, parameters, and underlying assumptions. The user confirms the proposed analysis for execution.
- Get results — Genie executes the analysis and provides output. Users can request clarification or submit additional queries for further analysis.
Privacy and data handling
- No data storage or transfer: We do not take or store users' data. Your data remains fully under your control, ensuring confidentiality and privacy.
What powers Genie
- Genie uses fine-tuned LLMs to translate complex biological analysis tasks into actionable instructions.
- A hard-coded backend pipeline ensures robust and reproducible results.
What data can Genie analyze
- Currently supports bulk and single-cell transcriptomics analyses.
- The team is actively expanding into other omics areas.
Can Genie be customized
- Yes. Genie can be tailored to meet specific research requirements. Our team can adapt the platform to fit your project needs.
Team and contact
- Iris Lam — PhD in Immunology, focused on reducing bioinformatics bottlenecks by applying AI solutions. Reach out to discuss adoption and investment.
- Georg Basler, PhD — Senior Bioinformatics Consultant and Software Engineer with 15+ years of experience. Available to discuss problem-solving through Genie.
Demo
- We’re in early development and eager to connect with researchers who want to influence Genie’s evolution, as well as investors who share the vision. Request a demo to shape the future of bioinformatics.
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Key Details
- Natural-language driven omics analysis (no coding required)
- LLM-powered guidance with recommended analysis pipelines, parameters, and assumptions
- Backend pipelines for robust, reproducible results
- Supports bulk and single-cell transcriptomics (with plans to expand to other omics)
- Customizable to specific research needs
- Data remains under user control with no data storage by Genie
- Demo requests and investor outreach available