Recommendations, not decisions. Actionable intelligence, not abstract information.
Onos is built to enhance clinical decision-making, not automate it. We surface patterns, structure documentation, and highlight key insights so your clinical staff can spend more time reviewing, evaluating, and executing.
Onos surfaces information. Clinicians make the call.
Onos doesn’t define what quality care should look like; it’s configured to your plan’s established guidelines and policies, then measured against those standards.
When a case is flagged for any reason, your team can see exactly why. Every recommendation is anchored to the underlying documentation, with direct links to the source record.
Your data stays yours
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Data isolation
Your data is never used to train models for other plans or shared across customer environments. What Onos learns from your program stays within your program.
Model fine-tuning
The Onos base model is fine-tuned using your plan’s specific data, like claims, clinical documentation, and guidelines, so outputs reflect your program’s standards, not a generic benchmark.
Opt-in benchmarking
Plans that choose to participate in benchmarking receive anonymized, comparative performance data across the Onos customer base. Participation is entirely optional and all data is anonymized before aggregation.
Reviews and audits at every stage of development
AI governance is a foundational feature of Onos, from design through deployment. Our process has passed the approval requirements of large national health plans, with automatic and manual reviews at every stage of implementation.
Continuous monitoring and auditing
Automated and human review processes run on an ongoing basis to keep outputs clinically appropriate and consistent with plan guidelines.
Designed to reduce bias
AI models are continuously monitored across every population and line of business to ensure consistent, equitable clinical insights.
AI governance committee sign-off
All model development stages—design, training, and testing—require review and approval from a formal AI governance committee before deployment.
Clinician-in-the-loop architecture
Recommendations are surfaced to clinicians for review. Onos is not designed to act autonomously.
Source-anchored outputs
All AI outputs are anchored to underlying documentation via retrieval-augmented generation. Clinical staff can click through to verify automated recommendations against the raw file.
The compliance standards that enterprise health plans require
Onos meets the security and compliance standards required by large national health plans, with the infrastructure and access controls to match.
HIPAA compliant
The Onos platform is fully HIPAA compliant. All data is stored and processed within the United States. No offshore teams have access to plan or member data.
SOC 2 Type 2
Onos holds SOC2 Type 2 certification, providing independent verification of the security, availability, and confidentiality controls in place across the platform.
Role-based access controls
Platform access is governed by configurable role-based controls. Access hierarchies can be adjusted to match each plan's organizational structure and compliance requirements.