Skip to content

    Medical imaging groups · Health systems

    Revenue execution built for imaging, end to end.

    ANEKO is revenue execution infrastructure for diagnostic imaging. It runs the loop: detect the next action, route work to the right owner, verify prerequisites and completion, and prove outcomes with evidence.

    HIPAA compliant
    BAA available
    PHI encrypted

    The thesis

    Diagnostic capacity leaks where systems stop talking.

    RIS, PACS, EHR, scheduling, and authorization each hold part of the truth. Handoffs between them have no shared owner, so gaps show up as delay and rework, and radiologists burn diagnostic bandwidth on detective work instead of interpretation.

    ~48% of radiologist time is coordination, not reading. That is capacity spent off the worklist—chasing priors, slots, and documentation—when nothing owns the path to a study that is actually ready to read.

    ANEKO coordinates those handoffs to completion before the worklist: detect the next action, route to the right owner, verify prerequisites, and prove what got done—so the scarcest resource stays on reading.

    What ANEKO is

    The AI-native revenue execution layer.

    ANEKO is the AI-native revenue execution layer that sits above your EHR and operational tools. It turns a scattered set of tasks into a loop with ownership, deadlines, and proof.

    Detects orders, referrals, tasks, prerequisites, and time constraints

    Routes work to the right owner by role and capacity

    Verifies completion and surfaces stalls early

    Proves outcomes with an exportable audit trail

    Focus

    Built for Imaging.

    Imaging is not a generic revenue cycle add-on. It is its own rhythm: modality-specific intake, priors that must be ready before read, prior auth decisions tied to scheduling, and handoffs that live between RIS, PACS, and operational teams.

    That is why we built Aneko for imaging-only. We stay close to the work operators actually do, so the system understands what "ready" means in a radiology pipeline, and it can resolve gaps before they quietly become delays, rework, and dropped revenue.

    Imaging groups don't just lose money. They lose throughput when orders stall, and they lose patient time when studies arrive incomplete. When the path from referral to reimbursement is owned end-to-end by an imaging-native layer, your teams stop doing system work and get back to patient care and reading.

    We are differentiated by focus: one specialty, one obsession, one execution loop. Not "RCM with a radiology sticker", a layer designed for imaging workflows from day one.

    Next step

    25 minutes. We walk through your referral-to-bill process.

    Your single biggest conversion failure point.
    The first fix with one owner and a deadline.
    3 metrics that prove lift in 60 days.

    Next step

    Discuss your revenue gaps

    Your single biggest conversion failure point
    The first fix with one owner and a deadline
    3 metrics that prove lift in 60 days