Tinybio

Tinybio

Technology, Information and Internet

New York, NY 218 followers

Good software for scientists because scientists are people too.

About us

Welcome to Tinybio! The first genomic generative AI company to help real scientist increase their productivity and allows better utilization of funds and time! To try our chatbot go here: ai.tinybio.cloud/chat To get in touch about enterprise offerings please go to ai.tinybio.cloud/plans. With easy-to-use tools and software we empower scientists to focus on the science, not the software! Scientists are people too!

Website
https://www.tinybio.cloud
Industry
Technology, Information and Internet
Company size
2-10 employees
Headquarters
New York, NY
Type
Privately Held
Founded
2023
Specialties
bioinformatics

Locations

Employees at Tinybio

Updates

  • Tinybio reposted this

    View profile for Sasha Dagayev 🇺🇦, graphic

    Senior Product Manager (AI & Growth)

    Hi everyone, Today I wanted to announce our latest product - tiny intern! tiny intern lets you run R & Python applications like pandas, Seurat, DESeq2, sci-py, & more all through chat. We want to make creating graphs, quickly executing analysis, and cleaning your data significantly faster and accessible for all researchers. Try it here: https://lnkd.in/eaAy33V3

  • View organization page for Tinybio, graphic

    218 followers

    🚀🚀 Discover the Power of AI in Bioinformatics with tinybio! Unleash the potential of AI in your lab with tinybio! Our latest video showcases how tinybio revolutionizes Deseq2 script editing – making it easy, fast, and a glimpse into the future of bioinformatics. - Intuitive Code Reading: Watch tinybio effortlessly read and explain old Deseq2 scripts. - Enhancing Legacy Code: See our seamless addition of new functionalities, highlighting tinybio’s adaptability. - Smart Result Interpretation: Observe tinybio's prowess in interpreting complex results with ease. 🚀 Beyond Deseq2 to your lab: tinybio’s AI capabilities can be applied to virtually any software process in your lab, simplifying tasks and driving innovation. 💡 Ready to elevate your lab with AI? For more information or to get started, visit https://www.tinybio.cloud or email at sales@tinybio.cloud.

  • View organization page for Tinybio, graphic

    218 followers

    Use LLMs to help write, execute, and debug your RNA-Seq pipelines!

    View profile for Sasha Dagayev 🇺🇦, graphic

    Senior Product Manager (AI & Growth)

    Hi everyone - I wanted to show how to use tinybio chat to write a custom RNA-seq pipeline tailored to what you want straight to your compute environment and run it in under 5 minutes. In the video below tinybio: ✅ Directly accesses the latest data from PubMed. ✅ Generates complex, multi-step workflows. ✅ Show you the source material that informs your content. ✅ Writes and execute scripts right in the compute environment (Exclusive to Enterprise). In the demo below we wanted to demonstrate a simple RNA use case but this technology can be used to dramatically cut down the time it takes to generate the pipelines to analyze/organize/ or clean your data! If you have workflows and processes that you would like to be supercharged with LLMs - please reach out to sales@tinybio.cloud or sign up directly on our website: https://www.tinybio.cloud!

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