OCL Network

The Trust Layer for Healthcare AI
Deploy, Fine-Tune, and Govern Clinical AI Agents with Confidence
Built for Scale

Our platform enables AI agents to collaborate with care teams at scale. Support both elite AI engineering teams and no-code fine-tuning. Rapidly customize clinical reasoning, care coordination, and lifestyle coaching agents that augment physician and nurse capabilities—all under unified governance that fast-tracks FDA approval.

Build, Test, Deploy: Synthetic → Anonymized → Real-World Data

Start with synthetic data for rapid development and learning. Graduate to anonymized datasets for pilot testing. Deploy with confidence using real-world clinical data—all on the same infrastructure with consistent governance and benchmarking throughout your AI lifecycle.

🎯 For Elite Engineering Teams

Bring your own models and policies. Deploy anywhere with cloud-agnostic infrastructure built on SPIFFE/SPIRE.

  • Full data provenance for FDA reporting
  • Advanced fine-tuning: LoRA, QLoRA, full training
  • Support for 100+ foundation models
  • No vendor lock-in

🚀 For Rapid Prototyping

No-code fine-tuning interface for health systems and researchers who need results fast.

  • Pre-configured clinical reasoning templates
  • Automatic safety benchmarking (MedHELM, DoNOHARM)
  • Deploy in hours, not months
  • Built-in governance policies

⚡ Automate Policy Enforcement

Transform legal and compliance rules into executable policy-as-code. Consistent enforcement across distributed systems with version control and testing.

  • Regulatory rules become testable code
  • Automatic, consistent enforcement at scale
  • Version control for policy changes
  • Eliminate manual compliance overhead

📊 Measure What Matters

Privacy-preserving benchmarks that you can keep confidential while you build, or publish your results to our AI registry.

  • Real-time AI performance monitoring
  • Patient safety metrics
  • Clinical outcome tracking
  • Complete audit trails

Built for Everyone in Healthcare AI

For Health Systems

Test and pilot vendors with synthetic/anonymized data → Deploy AI with confidence. Monitor performance, ensure safety, and maintain control over your data. Scale whole-person care teams by coordinating AI and human expertise.

For AI Startups

Accelerate the performance of your digital health/wellness application by building AI and testing with synthetic data. Confidently go to market with anonymized data. Demonstrate safety and effectiveness across real-world clinical settings with comprehensive governance infrastructure.

For Researchers

Collaborate across institutions without centralizing data. Generate high-impact publications with diverse, representative cohorts and reproducible AI experiments.

For Government Agencies

Translate legal rules into automated policy enforcement. Bridge the gap between regulatory intent and technical implementation with auditable, version-controlled policies that ensure consistent compliance across complex healthcare systems.

For Students

Learning to use AI and passionate about having an impact? Use our infrastructure and we will generate synthetic data for your test apps.

Complete AI Lifecycle Management

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Fine-Tune Anywhere

Support for 100+ models including Llama, Qwen, DeepSeek, Mistral. 16-bit full tuning, LoRA, QLoRA with 2-8 bit quantization. Advanced algorithms: GaLore, DoRA, LongLoRA, PiSSA.

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Cloud-Agnostic Deploy

Run on AWS, Azure, GCP, or on-premises. Federated network architecture with SPIFFE/SPIRE ensures zero vendor lock-in while maintaining enterprise security.

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Unified Governance

Policy-as-code with centralized management across Kubernetes, microservices, and CI/CD. Consistent, granular access control with high performance via policy caching. Policies decouple from application logic for independent updates and testing.

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Industry Benchmarks

Privacy-preserving AI measurement on MedHELM, DoNOHARM, and custom clinical safety metrics. Keep results confidential while you build, or publish to our AI registry.

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Multi-Agent Collaboration

Enable AI agents to work together across health systems. Each institution maintains data sovereignty while agents coordinate for superior patient outcomes.

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Your Data Stays Home

Federated architecture means insights travel while sensitive patient data remains under your institution's control. Built for HIPAA, HITECH, and research compliance.

Enterprise-Grade Technical Foundation

100+ foundation models supported
FHIR, HL7, TEFCA interoperability
SPIFFE/SPIRE identity infrastructure
OpenPolicy Agent governance
Multi-modal training (text, image, video)
FlashAttention-2 optimization
vLLM & SGLang inference
Comprehensive audit logging
FDA pathway support
Research-grade reproducibility
Real-time performance monitoring
Zero vendor lock-in

Supporting Federal Innovation

Built for ARPA-H ADVOCATE program, enabling multi-institutional cardiovascular AI research with the governance infrastructure federal programs and FDA authorization pathways require.