Test your hypothesis on our infrastructure.
You bring the question and the data. We run it through DNAI's research-grade pipeline — multi-omics encoding, physics-constrained simulation, uncertainty quantification — and return a structured report with metrics, artifacts, and explicit limitations. No model access required. No integration work.
Two Productized Engagements
Each engagement is scoped, priced, and delivered as a fixed-scope project. No open-ended consulting.
Reality Check
You have a cohort, a biomarker, or a model output you want to stress-test. We encode your data through DNAI's pipeline and quantify discrimination, calibration, and applicability — showing where the signal holds, where it degrades, and where the model abstains.
Preclinical Translation Bridge
You have PDX data and want to understand how it maps to human biology. We run your preclinical data through DNAI's Domain Separation Network to disentangle tumor biology from species-specific stroma, then generate human-scale analog trajectories under explicit assumptions — with quantified translation confidence.
How an Engagement Works
Fixed scope. No integration required. You never touch our models.
Scope
We define the question, data requirements, and success criteria together. Fixed deliverables, fixed timeline.
Transfer
You send de-identified data via secure channel. We run automated QC checks and confirm data integrity.
Execute
We run the full DNAI pipeline on your data. Gene alignment, VAE encoding, Hypernet simulation, safety checks.
Deliver
Structured report with metrics, visualizations, and honest limitations. Optional review call to discuss findings.
Why Use the Validation Lab
You get the output of a production-grade pipeline without the cost of building one.
Speed Without Integration
No API integration, no model deployment, no infrastructure. Send data, get results. Weeks, not quarters.
Your IP Stays Yours
Black-box execution. You receive reports and machine-readable artifacts — not model weights or code. Your data is processed in isolated environments, never used to retrain our base models, and retention terms are defined by contract.
Honest About Limits
Every report includes what we can and cannot say. Structured abstention, distribution shift diagnostics, and per-cancer reliability tiers.
The Pipeline Behind the Report
The same production infrastructure that powers dnai.bio
Who Uses the Validation Lab
Biopharma R&D
"We have PDX response data on our compound. Can we explore which human patient subtypes show differential simulated sensitivity?"
"We ran a Phase II. Can we retroactively identify the molecular subgroup that benefited most?"
"We want an independent external validation of our biomarker on DNAI's 9,400-patient reference cohort."
Academic Research
"We have a sarcoma cohort with RNA-seq and outcomes. Can DNAI stratify them by simulated treatment sensitivity?"
"We discovered a biomarker in glioma. Can we test it against DNAI's latent space and external validation cohorts?"
"We want per-patient digital twins with pathway attribution for a grant submission."
What's Included
Standard deliverables for each engagement type
| Deliverable | Reality Check | Translation Bridge |
|---|---|---|
| Gene alignment + data QC report | ||
| Per-cancer C-index with confidence intervals | ||
| Transportability certificates (GREEN/YELLOW/RED) | ||
| Distribution shift diagnostics | ||
| Per-horizon calibration curves | — | |
| Structured abstention analysis | ||
| DSN alignment + translation confidence | — | |
| Per-pathway fidelity scores | — | |
| Human-scale analog trajectories | — | |
| Biological validity gates | — | |
| Summary report with limitations | ||
| Review call with DNAI team |
From Evaluation to Partnership
The Validation Lab is a standalone engagement with no follow-on obligation. If the evaluation demonstrates fit for your use case, deeper collaboration is an option — not an expectation.
Data Requirements
Reality Check (SKU 1)
Translation Bridge (SKU 2)
What the Validation Lab Is Not
Research use only
All Validation Lab outputs are intended for research purposes and in silico hypothesis generation. They are not validated for regulatory submissions, clinical decision-making, or patient selection.
Let's define your first engagement
Tell us about your data and your question. We'll scope a fixed deliverable and timeline within a week.