Quantivly provides a platform for users to engage in robot challenges, likely involving programming or simulation environments. The service focuses on interactive, competitive technical exercises accessible via a web interface. Users must enable cookies to ensure full functionality and secure connection to the challenge environment.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Radiology departments struggle to capture detailed imaging workflow data due to the high heterogeneity and siloed nature of data formats from various vendors and systems (RIS, PACS). This lack of data liquidity makes it difficult to monitor operations, identify bottlenecks, and make data-driven decisions to improve efficiency and patient access.
Solution
Quantivly offers a radiology operations platform that creates a digital twin of imaging departments by unlocking and harmonizing data from imaging devices and scheduling systems. The platform extracts, cleans, and unifies data from DICOM and HL7 sources, building a vendor-agnostic, queryable ontology. By applying AI to this unified data layer, Quantivly enables users to measure performance in real-time, simulate operational scenarios, and identify optimal strategies without disrupting workflows or compromising patient care. The platform's AI agents continuously learn from simulated scenarios, refining decision-making and optimizing real-world processes, shifting from predictive analytics to autonomous decision-making.
Target Audience
Quantivly is designed for data-driven leaders in radiology, including radiology administrators, radiologists, medical physicists, technologists, and researchers, who aim to understand and transform their radiology operations with data.
Features
- Vendor-agnostic data harmonization engine for DICOM and HL7 data
- Unified data layer that cleans, harmonizes, and aggregates data sources on-the-fly
- AI-augmented ontology with new descriptors for repeat detection and artifacts
- Simulation engine to evaluate the impact of interventions without physical interventions
- Customizable queries and visualizations to answer specific operational questions
- Ability to compare scheduled slot size and exam durations
- On-premise or cloud installation options