Cloud lab input validation checks whether an experiment is operationally executable — correct plate format, valid reagent volumes, etc. Glassbox Bio is a semantic validation layer: it checks whether the biology itself is sound before any experiment is executed, toxicity, , clinical precedent, and patent overlap.
Stop bad AI biology before it hits the lab.
A programmable go/no-go gate between AI generation and lab execution — enforcing your thresholds before candidates enter autonomous workflows or consume capital.
Policy-configurable. Deterministically enforced. Execution-aware.
Glassbox Bio delivers a sealed, evidence-linked verification artifact within minutes (if self hosted) — compared to 8–12 weeks for traditional diligence cycles.
Yes. Glassbox Bio is designed to insert as a verification boundary between AI design systems and wet-lab or capital execution, with self-hosted Kubernetes deployment available for integration into automated pipelines.
FAQ
Cloud lab input validation checks whether an experiment is operationally executable — correct plate format, valid reagent volumes, etc. Glassbox Bio is a semantic validation layer: it checks whether the biology itself is sound before any experiment is executed, toxicity, , clinical precedent, and patent overlap.
Artifacts
Show the work.
Surface the risk
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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.
AI-Designed Biology
Sealed Decision Artifact
Capital Deployment
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.
Managed and self-hosted delivery paths available
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.
Boundary sealed — zero egress verified
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.
HashSHA-256
ECCRS(32,18)
ProofsIndependent
Drop your seal file here
SEAL.SVG · Max 10MB
Browse Fileseal.svgVERIFY SEAL
Uploading and verifying...
✓ Seal VerifiedGBX_RUN · —
SEAL IDMTC64F5U244A…
CREATED2026-02-19T16:41
RUN MANIFEST4c7321fc4e0e…
INPUTS HASH44a2c6ff3868…
OUTPUTS HASHf8537fe7757b…
KEY FINGERPRINTGBX-ED25519-B7…
↓ DOWNLOAD VERIFICATION
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.
01Zenodo Record
VECTR
Zenodo record for VECTR.