Turn complex claim files into source-linked chronologies, summaries, draft notes, and guided next steps.
Detailed and specific case analytics with guided workflows. Humans stay in control.
Zicron starts with workers' comp claims teams, then extends the same evidence engine into note drafting, guided workflows, QME/IME, MSA, and other record-heavy workflows.
A claims intelligence copilot for adjusters. Turn file-understanding drudgery into source-linked summaries, draft notes, and guided next steps.
Get comprehensive medical record summaries before evaluations. Reduce physician prep time from hours to minutes.
Accelerate Medicare Set-Aside allocations with AI-powered medical record analysis and cost projection.
Project future medical needs and costs with clinical precision. Support settlement negotiations with defensible analysis.
Streamline utilization review and peer review workflows. Get instant analysis of treatment appropriateness.
Identify and analyze medical liens faster. Extract relevant treatment and cost data for lien negotiations.
From upload to evidence-linked insight in minutes. The workflow is built to remove repetitive work so humans can focus on judgment and action.
Securely upload claim records and supporting documents in any format—PDF, TIFF, or direct integration with your systems.
Our AI extracts key facts, compares what changed, and organizes the file chronologically.
Receive claim-ready summaries, draft notes, red flags, and suggested next steps with evidence back to the source record.
We understand the specific challenges of file review, documentation, and follow-through, and we believe the best systems make humans better at their jobs.
Adjusters spending hours reconstructing the file instead of making decisions
Take repetitive file reconstruction off the team so adjusters can spend more time on judgment, escalation, and resolution
Drowning in scattered claim records, missing key details
Get the chronology, facts, and note draft done faster so you can focus on the human work of moving the claim forward
Inconsistent record review quality across the team
Standardize the drudgery while keeping the people-side judgment and customer handling with your team
Manually reviewing years of medical records for each allocation
Automate the repetitive record work so analysts can spend more time on defensibility and expert judgment
We're sequencing automation around better claims intelligence: remove repetitive review work first, support human decisions next, and only automate narrow workflows when the authority boundaries are clear.
Source-linked timelines, extracted facts, claim-ready summaries, and draft notes for human reviewers
Customer-specific next-best actions, draft tasks, and communication support with explicit approval gates
Narrow claim classes, limited authority, and full auditability only where customers want deeper automation
We're onboarding a small set of design partners in workers' comp claims and adjacent workflows. Tell us about your review process and we'll be in touch.