- Vendor-neutral imaging AI orchestration platform
- Targets radiology needs rather than a generic suite
- Scales to organization-wide healthcare rollouts
- Accesses multiple vendors through shared infrastructure
- Supports commercial and internally developed AI
- Combines evaluation, deployment, and ongoing monitoring
- Integrates AI results into existing clinical systems
- Consolidates contracting, billing, and vendor support
deepc
Vendor-neutral imaging AI orchestration platform
SF7.38
SF Score editorial score across features, ease, and value, based on public reviews and product research. Learn more →
Reduce missed findings on busy listsRadiology departments using multiple AIs
Reduce missed findings on busy listsRadiology departments using multiple AIs
Best for
Radiology departments using multiple AIs
Pricing
Custom
Free plan
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SoftFinders Score
7.38 / 10
Overview
What is deepc?
deepc is an AI radiology orchestration platform for imaging departments, using deepcOS to coordinate multiple imaging AI applications within one workflow.
- Clinical role: It supports imaging triage, finding prioritization, and radiologist productivity rather than autonomous interpretation, while clearance and validation depth vary by indication.
- Best-fit environment: Radiology departments using multiple AIs may benefit where vendor-neutral orchestration can connect imaging workflows and environments.
- Implementation checks: Buyers should confirm clearance details, PACS and worklist integration, workflow-specific impact metrics, and requirements for a multi-app AI strategy.
- Commercial model: Pricing is sales-led and scoped per buyer rather than publicly posted, making implementation scope and support considerations.
deepc is best assessed as an orchestration layer whose value depends on integration readiness and supported workflows.
KEY FEATURES
What you get out of the box
Reporting Support
Drafts or supports impressions and report language
Imaging Workflow
Connects across PACS and reading environments
Outcome Tracking
Tracks downstream care actions from flagged studies
Mobile Alerts
Mobile notifications for time-sensitive findings
USE CASES
Where teams put it to work
Reduce missed findings on busy lists
Bridge imaging and downstream pathways
Track outcomes from flagged studies
Standardize follow-up recommendations
Prioritize critical findings on imaging
Coordinate care for time-sensitive cases
Editorial Take
What we like, and what to verify
- Value needs a multi-app AI strategy
- Radiologist confirmation required on every study
- Pricing is sales-led and needs scoping upfront
- AI availability varies by regulatory jurisdiction
- Contract costs depend on deployment scope
Screenshots
A look inside
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USER REVIEWS
deepc Reviews
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