Afresh is an AI-powered company selling software to track demand and manage orders for fresh produce in grocery stores. The company is an operator of a fresh-first supply chain platform intended to handle the complexity of perishable categories for brick and mortar retailers and wholesalers. Its platform brings artificial intelligence and machine learning to forecast ingest millions of data points to provide accurate item-level predictions of future demand to replenish recommendations that account for supply chain constraints and optimize for margin that enable clients to minimize waste, maximize freshness, and multiply business profitability.
AlphaSense is a revolutionary AI-powered search engine for market intelligence used by financial firms and corporations across industries and geographies. With more than 1,000 enterprise clients, our mission is to enable knowledge professionals to acquire critical business insights and data with speed and conviction. AlphaSense’s search technology leverages AI and natural language processing to parse topics, concepts and ideas semantically and uncover the most relevant insights from previously fragmented data sets. Headquartered in New York, AlphaSense currently has more than 240 employees, 70% of which are focused on product development, with offices in Helsinki, London, Mumbai, Pune and across the US.
Keywee offers publishers and marketers a new approach to content distribution and performance measurement. Its revolutionary platform employs advanced text-mining technology and a vast database of historical content performance to help publishers, retailers, and brands find the audiences most likely to meet specific business goals for their content. Keywee’s customers include The British Broadcasting Corporation (BBC), Conde Nast, National Geographic, The New York Times, and Slate. Backed by leading investors including Eric Schmidt’s Innovation Endeavors and Marker LLC, as well as The New York Times Company. Founded in 2013, the company is headquartered in New York with an office in Tel Aviv.
Aro Homes aims to redefine residential construction by building better, more sustainable homes faster, and more efficiently. The company designs and builds carbon-negative, precision-engineered, user-experience-optimized homes that are faster and less expensive than traditional homes. It owns the process from start to finish, employing machinelearning to identify optimal properties. Aro's designs were also influenced by machine learning, as its algorithms ingested large amounts of property data to assess local zoning requirements as well as sustainability and livability goals.
Atom Computing builds truly scalable quantum computers out of individual atoms. The company's quantum computers use quantum mechanical properties of atoms to process information and solve problems beyond the reach of traditional computers, including drug design, computational chemistry, and more.
BigHat is a developer of an AI-guided protein therapeutic platform used to integrate antibody characterization lab with machine learning technologies to engineer molecules with more complex functions and better biophysical properties. The company is applying these design capabilities to develop new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases.