Sold by: GenoPixel
Deployed on AWS
GenoPixel is an AI assistant that turns natural language queries into publication-quality single-cell and spatial sequencing visualizations in seconds - no coding required.
Overview
Single-cell and spatial sequencing have transformed how biotech researchers understand disease biology, but turning raw data into actionable insight still demands weeks of bioinformatics work. GenoPixel eliminates that bottleneck - delivering publication-quality results in less than one minute instead of weeks.
Built on AWS, Powered by AI
GenoPixel is fully deployed on AWS, leveraging Amazon S3 for secure data storage and Amazon Bedrock for AI-powered analysis. As a paid AWS Partner Network member on the software path, GenoPixel is purpose-built for the cloud infrastructure biotech teams already trust.
Ask Questions, Get Answers - No Coding Required
GenoPixel's AI-powered chat interface lets any scientist explore complex single-cell and spatial datasets through natural language. Whether you are a bioinformatician or a bench scientist with no computational background, you get the same depth of analysis.
For example, an immuno-oncology researcher studying tumor microenvironment heterogeneity can ask GenoPixel to visualize a differentially expressed gene between immune cell subtypes or across treatment conditions. Within seconds, GenoPixel returns a publication-quality violin plot - complete with the validated Python code used to generate it.
100% Reproducible, Audit-Ready Results
Every analysis output includes the exact Python function call used - visible, copyable, and runnable. The same query with the same dataset generates exactly the same results, guaranteed. Results are fully deterministic and reproducible by any researcher on your team, meeting the rigorous standards biotech research demands.
Immediate Access to 300M+ Cells from Public Datasets
Explore 300M+ cells drawn from 400+ published papers, spanning 500+ tissue types and 100+ disease categories. Every dataset arrives fully processed by domain experts, ready to explore the moment you open the chat.
Getting Started
- Sign up on genopixel.com
- Follow the built-in tutorial to explore major analysis steps
- Query public datasets
- Run your own first analysis in under one minute
Bring Your Own Data
Already have proprietary single-cell or spatial datasets? Link your h5ad-format files to GenoPixel with no infrastructure setup and no configuration. Your data is stored in your own S3 bucket with isolated access controls - only users with your permissions can see your datasets. There are no dataset size limits, no region restrictions, and no concurrent user caps.
Data Security and Isolation
GenoPixel implements strict data isolation. Each user has their own private catalog - no user can see what datasets other users have uploaded. Proprietary data remains in your own S3 bucket, and public datasets are stored separately. Access is controlled at the user permission level, ensuring your sensitive pre-publication or patient-derived data stays protected.
Compatible Integrations
- AWS services: Amazon S3 (data storage), Amazon Bedrock (AI inference)
- Data formats: h5ad (compatible with output from 10x Genomics pipelines and Scanpy workflows)
Usage-Based Pricing
GenoPixel uses per-request metered pricing. Each query (such as "plot UMAP" or "show me the expression of EPCAM gene") counts as one request. Loading a dataset counts as two requests. Plans range from pay-as-you-go to enterprise tiers with monthly request allowances.
Highlights
- Expert-Validated Tools Only - GenoPixel's AI exclusively calls pre-built analysis functions developed by single-cell domain experts. Unlike tools that generate arbitrary code on the fly, every function is curated and validated, eliminating hallucinated code, silent errors, and debugging. You get publication-quality figures from natural language queries in seconds, not the hours or days required with custom scripting in Scanpy or Seurat.
- 100% Reproducible Results, Guaranteed - Every analysis output includes the exact Python function call used, visible, copyable, and runnable by any team member. The same query with the same dataset always produces identical results. This deterministic guarantee goes beyond what notebook-based workflows offer, where hidden state and execution order can silently alter outputs.
- Secure Bring-Your-Own-Data with Instant Access to 300M+ Public Cells - Link your proprietary h5ad datasets stored in your own Amazon S3 bucket with complete data isolation between users. No size limits, no region restrictions. Plus, explore 300M+ cells from 400+ published papers spanning 500+ tissue types and 100+ disease categories, all pre-processed and ready for immediate analysis.
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/36 months | Cost savings % | Overage cost |
|---|---|---|---|---|
Individual | contract for an individual user: $99/month, 250 requests per month | $2,399.00 | 33% | |
Team | contract for a team user: $499/month, 1500 requests per month | $11,999.00 | 33% | |
Enterprise | contract for an enterprise user: $1499 per month, 5000 requests per month | $35,999.00 | 33% | |
PAYG | pay as you go: $1 per request | $0.00 | - |
Vendor refund policy
GenoPixel does not offer refunds for software charges once a purchase, subscription, or billing period has started. All fees are final and non-refundable, including partial billing periods and unused usage.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
Contact Support
For product support, account setup assistance, or to request a refund, contact the GenoPixel team at support@genopixel.com .
Response Time
GenoPixel commits to an initial response within 24 hours during business hours (9:00 AM - 5:00 PM Pacific Time, Monday through Friday).
Troubleshooting
If you experience issues with queries, data loading, or account access, email support@genopixel.com with a description of the problem and any relevant query text. The support team will respond within 24 hours during business hours.
Onboarding Your Own Data
To link proprietary datasets, prepare your files in h5ad format and store them in your own Amazon S3 bucket. GenoPixel will connect to your bucket with your configured permissions - no additional infrastructure setup is required. There are no dataset size limits, no region restrictions, and no concurrent user caps.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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