GenoPixel - AI-Powered Single-Cell and Spatial Sequencing Analysis
GenoPixel · Software Development
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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**
Show the rest of the publisher’s description (17 more lines)
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.
**Data Security and Isolation**
Every request is authenticated through Amazon Cognito and scoped to your account. Conversations are not persisted server-side, and prompts are processed statelessly by Anthropic Claude within Amazon Bedrock. Security events are logged to Amazon CloudWatch and AWS CloudTrail and retained at least 1 year in a tamper-resistant archive (S3 Object Lock).
**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.
**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
Highlights
Highlighted by the publisher on AWS Marketplace.
Expert-Validated Tools Only - GenoPixel's AI exclusively calls only pre-built functions curated by single-cell experts, turning plain-English queries into publication-quality figures in seconds.
100% Reproducible Results - every output ships with the exact Python call used, copyable and re-runnable, so the same query and dataset always produce identical results.
Instant Access to 300M+ Public Cells - explore 300M+ cells from 400+ published papers across 500+ tissue types and 100+ disease categories, pre-processed and ready to analyze.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
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.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.