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M-Optimus-1

Bioptimus · Software Development

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownML model
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

Use M-Optimus-1 to build oncology models from H&E whole-slide images, optionally paired with bulk RNA-seq. Generate multimodal embeddings and reconstruct spatial gene expression across a curated panel of 6,000+ genes.

M-Optimus-1 is a multimodal foundation model for oncology, learning cross-modal representations across H&E, bulk RNA-seq, and spatial transcriptomics. Pre-trained using a unique proprietary dataset comprising millions of H&E whole slide images from more than 50 organ tissues, and thousands of patient records where H&E, bulk and spatial transcriptomics are paired and aligned.

Show the rest of the publisher’s description (1 more line)

Deploy M-Optimus-1 as an Amazon SageMaker model package inside your AWS account. Run real-time inference via SageMaker endpoints or batch inference on S3. Your data stays private, and is never accessed by Bioptimus.

Highlights

Highlighted by the publisher on AWS Marketplace.

M-Optimus-1 is a multimodal, multiscale foundation model for oncology that integrates information across H&E, bulk RNA-seq and spatial transcriptomics (10x Genomics Visium) to produce tile-, slide, and patient-level outputs.

M-Optimus-1 can perform direct prediction from H&E (with optional bulk RNA-seq) to spatial expression across a curated pan-tissue panel of over 6,000 genes - tumor and immune cell biomarkers, cell-cell interactions, ligands and receptors, biological pathways, and drug candidates.

M-Optimus-1 is multimodal by design, flexible in deployment. H&E-only inference still outperforms unimodal baselines when sequencing data is unavailable.

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

Government
  • 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

3 listed
ml.g5.xlarge Inference (Batch)
  • HostHrs
$3,000.00
ml.g5.2xlarge Inference (Batch)
  • HostHrs
$3,000.00
inference.count.m.i.c Inference Pricing
  • Requests
$0.01

Refund terms

As stated by the publisher on AWS Marketplace.

Non-refundable

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
CustomEulaCustomEulaSource

Publisher resources

1 link
Overview and Benchmarks for M-Optimus-1www.bioptimus.comSource

Linked repositories

RepositoriesUnknownUnknown

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.

Pricing
Paid
3 plans listed
Delivery
ML model
Contact: [support@bioptimus.com](mailto:support@bioptimus.com)
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