About Preflix AI

Built For Patients Who Need A Clearer Bill, Not Another Portal

Preflix AI exists to turn medical billing confusion into organized evidence, plain-language questions, and dispute-ready next steps.

  • Patient-first billing review
  • Evidence-led workflows
  • No public PHI collection
Care team member listening to a patient in a calm office setting

Mission

Preflix AI was built around a simple problem: patients are asked to pay complex medical bills without the language, time, or evidence needed to question them. The result is often a rushed payment, a stalled appeal, or a collections notice that could have been handled earlier with better documentation.

The mission is to make medical billing review understandable. A patient should be able to see what was billed, what insurance processed, what looks unusual, and which office needs to answer the next question.

What We Build

Preflix AI combines bill organization, plain-English code explanation, benchmark context, and dispute letter preparation. The public website introduces the education layer, while the protected app workflow is intended for sensitive documents and account-specific review.

The product is designed for patients, families, advocates, benefits teams, and partner organizations that need a consistent way to move from bill shock to a documented action plan.

Product Boundaries

Preflix AI helps people ask better questions and prepare better documentation for confusing medical bills.

The product avoids collecting protected health information on public marketing pages. Sensitive details belong in a protected workflow with appropriate safeguards, retention rules, and access controls.

Operating Principles

The operating principles are direct language, evidence over pressure, visible boundaries, and patient control. The user should always understand what the tool found, what it did not verify, and what they can do next.

Good billing review is not about making every charge look suspicious. It is about sorting confusing accounts into valid charges, questionable charges, missing documents, and clear next steps.

Clear Boundaries

What This Means In Practice

These commitments keep the public website useful while leaving sensitive, account-specific work to protected workflows.

Patient First

Every page is written for a person holding a bill at the kitchen table, not for a billing department.

Evidence Led

The product centers documents, line items, dates, codes, and written responses instead of vague savings promises.

Document Ready

Preflix AI prepares analysis, reports, and documents that help patients ask clearer billing questions.

FAQ

Common Questions

Short answers for the practical decisions this page is meant to support.

How does Preflix AI support advocates and attorneys?

Preflix AI organizes evidence, drafts questions, and prepares a clearer file for patients, advocates, attorneys, providers, and insurers.

Why does the public site avoid bill uploads?

The public marketing site is built for education and routing. Bills, EOBs, account numbers, and member IDs belong in protected workflows with authentication, retention rules, and access controls.

Who is Preflix AI designed for?

The product is designed for patients, families, advocates, benefits teams, and partner organizations that need clearer medical billing documentation.

Meet The Team

Leadership With Product, Engineering, And Operations Discipline

Preflix AI is shaped by a small leadership team focused on readable billing workflows, careful platform design, and practical rollout support.

CEO

Sofia Lindholm

Leads Preflix AI's patient advocacy strategy, partnerships, and commercial strategy for benefits teams and care-adjacent organizations.

CTO

Matteo Rinaldi

Guides the technical architecture for bill parsing, audit workflows, data protection, and partner integrations.

COO

Klara Hoffmann

Builds the operating systems for customer support, implementation, reporting, and responsible review processes.

Mission Into Workflow

See How A Preflix AI Report Turns Confusion Into Specific Questions