Turn Single-Cell and Spatial Transcriptomics Data into
Clear Biological Answers In Minutes
See exactly which genes, pathways, and drug targets are driving your results through guided workflows that turn raw data into conclusions you can trust, without writing code.
Your Data Holds the Answers,
Your Bioinformatics Tools Hold You Back
R&D teams need to rapidly transform multi-omic data into a validated biological mechanism, yet most bioinformatics platforms
utilize fragmented analysis pipelines that require weeks of processing and deliver outputs that stop short of mechanistic insight.
Simplify your Analytical Workflow
AdvaitaBio unifies your single-cell and spatial transcriptomics analysis into one guided workflow, connecting raw data to defensible biological insight in minutes, not weeks, grounded in nearly 20 years of validated science.
Advanced Bioinformatics Accessible to
Every Researcher
Our guided workflows give wet lab biologists and computational scientists alike a direct path from raw transcriptomic data to publication-ready, defensible biological conclusions. Your analysis runs in three simple steps within a single session, free from scripting, format wrangling, or tool-stitching.
Upload your data
Run complete analyses in minutes
Share results effortlessly
across teams
Solutions That Connect Transcriptomics to Biological Mechanism
AdvaitaBio’s cloud-based platform solves the biggest challenges research teams face: usability, rigor, speed, and reproducibility. iSCanGuide™ analyzes your single-cell and spatial transcriptomics data, from cell-type annotation to trajectory and cell-cell signaling. iPathwayGuide™ delivers mechanistic pathway interpretation through validated Impact Analysis. Both operate within one seamless workflow without data exports or compromised reproducibility.
Research Powered By Validated Mechanistic Biology
Our platform supports a broad spectrum of applications across transcriptomics, single-cell, spatial, and multi-omics research. Whether you’re dissecting signaling pathways, profiling gene expression changes, identifying biomarkers, stratifying patient populations, or exploring cellular heterogeneity, our platform delivers defensible, mechanistic biological conclusions in minutes.
Use Cases
Customers Who Trust Us
15+
Scientific Disciplines
19,900+
Citations
For iPathwayGuide™
800+
Publications
For iPathwayGuide™
Mapping the Pathway to Scientific Discovery for nearly 20 Years
Our tools have been academia’s best kept secret for nearly 20 years. It’s time to let the world in on what we’ve created.
Pathway analysis, in general, is using curated data. It’s curated by somebody else, typically. It is complicated and difficult for an individual organization to keep up-to-date on all of these curated pathways and annotations. The idea that Advaita is going to deal with that, really enables us to focus on some of the more nuanced bioinformatics and not have to deal with that complexity.
Dr. Ben Harrison, University of Louisville – Bioinformatics CoreMy students can probably take five datasets, get them uploaded, and run within an hour. That is productivity.
Doug Dluzen, Morgan State UniversityAdvaita is more cost effective than competitive products and, for the output, it does saves a lot of time. You don’t have to come up with your own report, write-up and conclusions. It does a superior job of finishing the analysis for you. It’s just better.
Wei ChenWhen we have many comparisons… we launch them in a batch. This is very useful because I can submit them programmatically using the API instead of setting everything manually. This saves a great deal of time and dramatically increases the productivity of our group.
Bogdan Doan, PhDI love using iPathwayGuide™ for my RNA-seq data analysis. Its extensive knowledge base provides me with accurate results, very quickly. I find the figures to be clear and appealing.
Ian Chu, UT SouthwesternRequest a Demo