Milestones, publications, and updates from the Krv team.
Quality is the new currency for agent-written code. Topos v0.3.0 is the first proper release of open-source structural quality metrics for coding agents—scoring whether diffs are built to last, not just whether they pass tests. Evaluates whether programs are SIMPLE, COMPOSABLE, and SECURE. Currently supports code written in Python, Rust, C++, TypeScript, and JavaScript.
Krv was selected as one of three winners of the top abstract submissions and gave a podium talk on Pasteur, our clinical evaluation product, at the 3rd Annual International Pediatric and Lifespan Data Science Conference.
Krv Labs and Compass Health partnered with Women in Tech & Entrepreneurship (WTE) and the USF Engineering Council to host the 'Deployment Dreams' hackathon. Participants built robust sleep stage classification models designed to handle real-world sensor corruptions in wearable data.
Krv Labs has been accepted into NVIDIA Inception, a program designed to help startups accelerate their AI solutions and growth with access to NVIDIA resources, technology, and go-to-market support.
J. Wayland submits cumulative dissertation titled: "Understanding Data Representations using Geometry and Topology"
Website updated to showcase Krv's focus on improving evaluations and reliability for clinical AI deployments.
Krv built and launched the Compass Health platform for care coordination.
J. Wayland and team won first place in the Novartis Challenge by developing a geometric deep learning pipeline for drug-target interaction prediction.
The article discusses a study that classifies U.S. coal-fired plants into typologies using Krv's THEMA framework.
Research featured on AAAS's official press release platform, highlighting data-driven framework for faster U.S. coal phaseout.
Peer-reviewed paper on scalable risk valuation for energy infrastructure.
The team released Thema v0.1.3 and Retire v0.1.1—open-source tools that support research to accelerate the coal phaseout.
Krv team and collaborators are notified of acceptance decision.
