Revyve
Revyve AI

The AI platform connecting healthcare’s existing systems, data, and workflows.

We’re building Revyve AI to connect leading AI models with the existing and legacy systems healthcare businesses run on: EHRs, practice management software, billing platforms, payer portals, and operational records.

Systems hold the data. The work lives in the workflows between them: the daily checks, handoffs and follow-ups that no system records. So our forward-deployed engineers sit with the billers and managers who do that work, map each workflow as it actually happens, and build the models and agents into it, with a person at every step that matters.

Every company we own runs on it.

The systems a business already runs
  • EHRs
  • Practice management software
  • Billing platforms
  • Payer portals
  • Operational records
Revyve AI Shared infrastructure for routing, permissions, evidence, and approvals
What does the work
  • AI models, selected for quality, speed, and cost
  • Agents
  • Existing software
  • Human reviewers

So teams resolve claims, clear backlogs, and handle more work.

Built around your existing systems

Revyve AI is designed to build on the software already embedded in the business. Our forward-deployed engineers pair with operators to connect authorized data, map workflows, and bring AI into the tools teams use every day.

The right model for each task

Use different AI models for different tasks, selected for quality, speed, and cost.

One shared intelligence layer

Coordinate models, agents, existing software, and human reviewers through shared infrastructure for routing, permissions, evidence, and approvals.

Starting with revenue cycle management

For an aged claim, Revyve AI is designed to bring together billing records, supporting documents, and payer information, prepare the next step, route it for review, and track the result.

1 · Bring together

Billing records, supporting documents, and payer information.

2 · Prepare

The next step.

3 · Route

For review.

4 · Track

The result.

The goal: faster resolution, greater capacity, and lower cost per completed task.