James Miller
The platform supports various use cases from triage to research. The range of models it can orchestrate seems broad. This versatility appears beneficial for diverse hospital workflows.
Questions about BonaLabs
What is BonaLabs?
BonaLabs is a medical imaging AI orchestration platform designed for hospitals and health systems. It integrates multiple imaging AI models and vendors into a single ranked worklist, allowing radiologists to prioritize the most urgent patients. The platform ingests studies via standard DICOMweb, de-identifies them on receipt, and orchestrates models and agentic workflows to reason across studies, priors, and clinical indications. It supports on-premise deployment inside a hospital's firewall and is vendor-neutral, working with any model, cloud, or on-premise setup. The platform also provides auditable traces and allows radiologists to override AI severity rankings.
How can I start evaluating BonaLabs without a long-term commitment?
The Bona Sandbox offers a free-to-start tier that includes 100 studies per month for developers, researchers, and clinical AI teams. This tier allows users to explore the BonaLabs API, connect a model, and validate technical integration before entering a production clinical workflow. Sandbox outputs are intended for non-clinical evaluation and are not intended for use in patient care decisions.
What are the costs and scope of the pre-production validation service?
BonaLabs provides a Bona Validate service starting at $12,500 per engagement for pre-production validation. This 90-day programme includes one imaging site, one clinical pathway, up to two AI models, and silent-mode deployment. It also covers PACS/DICOM integration, local cohort evaluation, and sensitivity/specificity analysis to prove clinical AI before it influences care.
What does the production platform include and how much does it cost?
The Bona Clinical production platform costs from $55,000 per year per production site, banded by annual study volume. It runs and governs clinical imaging AI through one production layer, including clinical AI orchestration, DICOM/PACS integration, and a unified worklist. It also features clinical prioritisation workflows, model routing, and clinician override tracking with a complete audit trail.
What features are available for large health systems with multiple sites?
For multi-site and health-system deployments, the Bona Enterprise plan starts at $125,000 per year. This tier offers a one control plane for AI across the imaging network, multi-site deployment, and central AI governance. It includes a central model registry, organisation-wide validation workflows, and drift monitoring for site-level performance comparison.
How does BonaLabs support partners who distribute its technology?
BonaLabs partners with vendors by distributing clinical AI through the BonaLabs infrastructure. The partner programme offers an 18% to 25% revenue share of vendor licence value. It is designed for imaging AI companies, regional distributors, medical AI developers, and diagnostic software companies seeking local deployment infrastructure and technical integration.
How does BonaLabs handle data ingestion and de-identification?
The platform ingests studies via standard DICOMweb, ensuring that any PACS or modality gateway can push studies with no custom integration required. On receipt, studies are de-identified with UIDs remapped rather than deleted so that priors stay linkable. Dates are shifted rather than zeroed so that interval change survives the de-identification process.
How does the orchestration engine reason across multiple studies and findings?
BonaLabs uses agentic workflows to reason over detector outputs, patient priors, and clinical indications. These workflows correlate detections against priors and the indication, answering questions a single-study model structurally cannot. Every step, whether reasoning, tool call, or result, is written to an auditable trace that a radiologist can open.
How does BonaLabs present the final prioritized worklist to radiologists?
The platform fuses findings from every model into a single ranked queue with an explicit score. This score is explained so a radiologist can see exactly why a study sits where it does. Because the ranking is explicit and not learned, a radiologist can interrogate the reasoning behind each prioritization decision.
What are the deployment options and how does BonaLabs ensure data stays on-premise?
BonaLabs deploys inside a hospital's firewall, connecting directly to their PACS/VNA so that images never leave the network. This on-premise deployment ensures that data stays on-premise while providing a vendor-neutral layer over every vendor used. The platform supports storage, queueing, and inference behind swappable adapters with no cloud SDKs required.
How does BonaLabs allow clinicians to intervene in AI decisions?
Radiologists can override any AI severity ranking provided by the platform. These overrides become the ground truth for how a model performs in the specific population. The system records every clinician override to track model performance and governance over time.
How does BonaLabs position itself against the challenges of multiple AI vendors?
BonaLabs is described as a layer that absorbs the integration problem caused by three vendors, three portals, and three worklists. The website states that hospitals do not have an AI model problem, but rather an integration problem that BonaLabs solves. The platform is built for health systems and aims to provide a unified intelligent worklist.
What are the benefits of joining the BonaLabs partner programme?
The platform includes a Bona Partner programme that offers revenue share plus a minimum annual platform commitment. Partners gain access to hospital and radiology environments, validation support, and governance layer capabilities. This structure supports commercial distribution and implementation support for imaging AI companies.
What is the official website of BonaLabs?
The official website of BonaLabs is bonalab.ai.
How is BonaLabs rated on Trustburn?
On Trustburn, BonaLabs has a rating of 4.2 out of 5 based on 5 reviews.
AI-generated from reviews on this page. Verify anything important with the company directly.
Sarah Jenkins
The thirty-minute demo shows the actual product running, which builds significant trust. The fact that no data scientists are required to adopt it suggests a user-friendly interface for radiologists. The ability to book a demo without obligation lowers the barrier to entry for initial evaluation. This convenience, combined with the on-premise deployment option, makes the platform highly accessible for immediate workflow integration testing.
David Chen
The concept of a single intelligent worklist with explicit reasoning is well articulated. The agentic workflows that correlate detections against priors sound technically robust, addressing limitations of narrow detectors. However, the description of how exactly the ranking score is calculated remains somewhat abstract. While the promise of reduced miss rates for incidental findings is appealing, the platform seems to lack detailed performance metrics or case studies to validate these claims. Furthermore, the pricing model is not clearly defined, which makes it difficult to assess the total cost of ownership for a medium-sized hospital system. The emphasis on keeping data on-premise is a strong point, but the integration complexity with existing third-party vendors is not fully detailed.
Elena Rostova
The ability to run on-premise while connecting to any PACS via DICOMweb addresses our data residency concerns. The de-identification process preserving prior linkability is a significant advantage. However, the absence of clear pricing tiers leaves some uncertainty for budget planning. We need to verify if costs are usage-based or fixed per seat before committing.
Marcus Thorne
The platform’s vendor-neutral approach is compelling for our health system. Since specific costs are not yet listed, I assume pricing scales with model usage. Is there a base subscription fee?
News
No news yet. This is where the business shares its own updates and press.
Photos
No photos yet. Photos shared by reviewers will show up here.
Widgets
Get the widget for your site →About BonaLabs
BonaLabs offers a medical imaging AI orchestration platform designed for hospitals and health systems. It acts as a layer that integrates multiple imaging AI models and vendors into a single ranked worklist, allowing radiologists to prioritize the most urgent patients. The platform ingests studies via standard DICOMweb, de-identifies them on receipt, and orchestrates models and agentic workflows to reason across studies, priors, and clinical indications. It supports on-premise deployment inside a hospital's firewall and is vendor-neutral, working with any model, cloud, or on-premise setup. The platform also provides auditable traces and allows radiologists to override AI severity rankings.
- Website
- bonalab.ai
- Categories
- Hospital & health care, Computer software