Argilla is an open-source data curation platform for LLMs. Using Argilla, everyone can build robust language models through faster data curation using both human and machine feedback. We provide support for each step in the MLOps cycle, from data labeling to model monitoring.
Constructor.io is the only search and product discovery platform tailor-made for enterprise eCommerce where conversions matter. Constructor's cloud-based solutions use natural language processing, machine learning-enhanced results ranking, and collaborative personalization to deliver powerful user experiences across all facets of product discovery -- from search to browse, recommendations, and autosuggest. We optimize revenue before relevance. This has allowed us to generate consistent $10M+ lifts for our customers, which include some of the biggest brands in retail like Sephora, Backcountry, Tommy John, and Walmart companies Jet.com and Bonobos. Constructor is a U.S.-based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick.
Domino Data Lab empowers data science teams with the leading, open data science platform that enables enterprises to manage and scale data science with discipline and maturity. Model-driven companies including Allstate, Dell Technologies, and Bayer use Domino as a data science system of record to accelerate breakthrough research, increase collaboration, and rapidly deliver high-impact models.
EnsoData is a startup that utilizes artificial intelligence to analyze the human body to diagnose health conditions. EnsoData, whose software uses machine learning algorithms to help clinicians score sleep data and diagnose patients with sleep apnea and other disorders, has now realized that dream—and then some. EnsoData's autoscoring algorithm combines AASM scoring best practices with cutting edge machine learning algorithms that learn and adapt to every single patient.
Faro Health is bringing clinical trials into the digital age by helping teams manage and balance the complexity of modern trial designs through a cloud native platform. The Faro platform enables study teams to design complex clinical trials using small modular building blocks and combines that with data driven insights to orchestrate and automate operationally complex trials. Faro brings balance, centricity and flexibility to protocol development through automation and integration to downstream systems and vendors, ensuring they are always up to date and correctly configured. As a result, clinical trials using Faro are operationally efficient which avoid delays due to ambiguity and generate data that can be trusted.