Independent capital risk verification for AI-generated biology.
Glassbox Bio delivers reproducible, cryptographically sealed target diligence — either as a managed audit or inside your own cloud environment.
Policy-configurable. Deterministically enforced. Execution-aware.
Artifacts
Show the work.
Surface the risk
Managed audit or self-hosted deployment
Target diligence, delivered either way.
Glassbox Bio evaluates AI-generated targets, programs, and biological claims before they become capital commitments. We surface translational risk, missing evidence, and likely failure modes, then deliver deterministic, evidence-linked artifacts that support better diligence, screening, and allocation decisions.
How It Works
Evidence Before Execution
Glassbox Bio inserts a verification boundary between AI design and execution, surfacing risk before capital or wet-lab resources are committed.
Google Cloud Marketplace
Available on
Google Cloud Marketplace
Deploy Glassbox Bio directly into your own cloud environment. Your sequences remain inside your VPC. Your data never leaves your control.
- One-click installation via Google Cloud Marketplace
- Kubernetes-native architecture with Helm charts
- Air-gapped runtime with zero network egress
- Deterministic compute with pinned dependencies
Only Kubernetes-native molecular target diligence application in Google Cloud Marketplace.
Only Kubernetes app in Science & Research.
Data Policy
Zero data egress.
Customer sequences never leave the verification boundary. All computation runs inside an isolated execution environment with no network egress.
Integrity
Cryptographic sealing.
Every artifact is sealed with SHA-256 hash chains and Reed–Solomon error correction. Integrity proofs make artifacts tamper-evident and independently verifiable.
Artifacts are built to be inspected, reproduced, and trusted.
Adversarial Audit
We tested what happens when AI generates drug-development diligence under realistic pressure.
Forced bibliography formatting, recency pressure, ambiguous identifiers — across three model families, four operating conditions, and two temperatures.
Science
Research
Publications and technical work.
Glassbox Bio research examines the evidentiary gap between computational biology outputs and real-world decision making.
VECTR
Zenodo record for VECTR.