Use Cases
Advancing medical and biomedical research with cutting edge data annotation capabilities.
Use Cases
Advancing medical and biomedical research with cutting edge data annotation capabilities.
Researchers are exploring ways to improve clinical decision making, whether through improved skill assessment and development, or through AI-enabled tools proven to enhance performance.
Increasingly AI developers and researchers are partnering to develop AI and ML algorithms that can advance the medical and life sciences.
Researchers across medical and biological disciplines are leveraging large and diverse datasets for analysis and discovery.
Why Seen Labs
Why Seen Labs
Access large pool of annotations weekly from am established network of medical experts, taking models from exploratory analysis to deployment in weeks, not months.
Experience how label quality is built into the Seen Labs system, with frequent performance measurement and performance-based compensation.
Leverage more reliable statistical information to inform your algorithm training plan.
Worry less with leading privacy and security capabilities.
Lean on Seen Labs’ expertise as the only annotation company focused on health, biological and scientific data.
From pathology slides to surgical video to unstructured clinical notes, get all of your annotation needs in one single platform.
Access millions of annotations weekly from a network of thousands of medical experts, taking models from exploratory analysis to deployment in weeks, not months.
Experience how label quality is built into the Seen Labs system, with frequent performance measurement and pay-for-performance incentives.
Leverage more reliable statistical information to inform your algorithm training plan.
Worry less with leading privacy and security capabilities.
Lean on Seen Labs’ expertise as the only annotation company focused on health, biological and scientific data.
From pathology slides to surgical video to unstructured clinical notes, get all of your annotation needs in one single platform.