Healthcare & Regulated AI

Vector Fabric is built from the ground up to support healthcare, life sciences, and highly regulated environments. By decoupling the control plane from the data plane, organizations can capture alternative cloud economics while maintaining absolute data sovereignty, security, and compliance.

Architected for Zero-Data Custody and Enterprise Infrastructure Governance
Data Flow Architecture

[ Customer Storage ] (AWS S3, Azure, GCP, Private Object Store)

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v (Direct Payload Data Stream)

[ GPU Provider Cloud ] (CoreWeave, Lambda Private Clusters, etc.)

^

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[ Vector Fabric Control Plane ] No Data Access

(Out-of-Band Orchestration & State Checkpoint Triggers Only)

🩺 Healthcare & Regulated Workloads

  • ✓ Zero Data Custody Architecture — Control plane completely isolated from the data layer.
  • ✓ Customer-Owned Storage and Checkpoints — Data remains inside your compliant AWS/GCP/Azure perimeters.
  • ✓ Customer-Controlled Encryption Keys — Encryption keys remain under customer control and governance policies.
  • ✓ Provider Allowlisting & Placement Policies — Restrict jobs to dedicated, single-tenant, or BAA-signing hosts.
  • ✓ Recovery Without Data Movement — Automated state restoration without copying or leaking datasets.

Vector Fabric is architected to support healthcare and regulated environments through a Zero Data Custody design, customer-controlled storage, and configurable infrastructure governance policies.

Designed For

Healthcare AI Platforms
Clinical Documentation & NLP
Medical Imaging AI
Revenue Cycle AI
Life Sciences & Research
Healthcare Data Platforms
Organizations Training Proprietary Models

Technical & Regulatory Guardrails

Zero-Data Custody Architecture

Vector Fabric operates entirely as an out-of-band orchestration and recovery layer. The platform coordinates execution, monitors node health, and automates failover events without ever ingesting, proxying, or storing your underlying datasets, prompts, or model outputs.

Customer-Controlled Storage

Your training datasets, validation pipelines, and model weights remain inside your existing secure perimeters (such as HIPAA-compliant AWS S3, Azure Blob, GCP Storage, or private on-premise object stores). Vector Fabric does not require data replication or migration into a managed environment.

Granular Provider Governance

Compliance teams maintain absolute control over the compute footprint. The platform allows organizations to restrict deployments to strict allowlists—enforcing policies based on specific geographic regions, single-tenant dedicated hosts, private enterprise clusters, or specific BAA-signing infrastructure providers.

Secure State Recovery

When an infrastructure interruption or eviction occurs, Vector Fabric coordinates automated recovery from the latest validated checkpoint. State data is encrypted at rest (AES-256) and in transit (TLS 1.3) using keys managed exclusively by your organization, ensuring recovery happens seamlessly without data movement or custody transfers.

Frequently Asked Questions

No. Vector Fabric operates strictly as an out-of-band orchestration and recovery layer. Training data, model weights, embeddings, and outputs remain entirely within your customer-controlled storage and compute environments. Vector Fabric coordinates execution and recovery events without ever viewing or ingesting application-level payloads.

Vector Fabric is designed around a Zero-Data Custody architecture where customer data remains within customer-controlled environments. BAA requirements depend on each organization's deployment model and should be evaluated with legal and compliance teams.

Data remains within the secure storage locations designated by your organization, such as AWS S3, Azure Blob Storage, GCP Storage, or private enterprise object stores. All data transferred between your storage targets and approved GPU instances utilizes your existing corporate access controls, encryption standards, and network perimeters.

No. Model artifacts, checkpoints, and weights remain under your direct control. Vector Fabric references metadata checkpoint pointers for automated execution recovery purposes, but it does not act as a custodian or system of record for your model storage.

Yes. Organizations can define strict infrastructure policies, including approved provider lists, specific geographic regions, and network boundaries. Vector Fabric will only schedule workloads within those explicitly defined compliance guardrails.

Yes. Placement policies can be configured to restrict workloads to approved infrastructure classes, including single-tenant dedicated hosts, private clusters, or specific enterprise-approved cloud providers.

Vector Fabric monitors workload progress and checkpoint states out-of-band. If an infrastructure interruption or node stall occurs, the platform automatically provisions a replacement resource within your approved provider list and resumes execution from the most recent validated checkpoint, minimizing lost work without manual intervention.