Sentiero Ventures
Sentiero Ventures is a venture capital investment firm founded in 2020 and located in Dallas, Texas. The firm focuses on creating a community of investors who provide capital and support to startups utilizing AI-enabled software as a service (SaaS). Sentiero Ventures aims to assist companies in enhancing profitability, reducing costs, or improving customer experiences. The firm invests in a diverse range of sectors, including business services and consulting, marketing and advertising, software, healthcare technology, real estate, retail, internet and web services, sports, media and entertainment, sales management and customer relations, financial services, financial technology, and the travel industry.
Developer of a real-time data platform designed to remove data engineering dependencies that delay or block real-time machine learning and analytics deployments. The company's platform allows data scientists to build their own streaming data pipelines, enabling data team members to overcome the challenges of deploying machine learning in time-critical settings.
Geminus.AI, Inc. is a company based in Palo Alto, California, that specializes in developing artificial intelligence systems tailored for industrial processes. Founded in 1990, Geminus creates a platform designed to empower engineers and industrial operators to make rapid and informed decisions in environments characterized by high uncertainty. The company's offerings focus on self-optimized design and predictive operational intelligence, enhancing the performance and efficiency of various industrial assets, including refineries, power plants, satellites, and ships. By leveraging advanced AI applications, Geminus aims to support operators and engineering service providers in improving their operational capabilities.
Mia is a developer of a no-code application that allows to rapidly deploy and demo machine learning models. Its platform enables companies to transform machine learning models into applications and bring them to life.
Auquan develops and operates a platform to crowd-source trading strategies. Its platform connects business problems of finance companies with data science community to find answers to client’s problems. The company offers Conversion to data science problem, dataset transformation and anonymization, access to data scientists, submission evaluation, ensemble solution, and production deployment. Auquan was founded in 2017 and is based in Bengaluru, India.
Developer of a digital optimization platform designed to help e-commerce merchants increase sales. The company's platform provides services for e-commerce sellers to maximize their revenue potential by making smart data-driven decisions through artificial intelligence software and continually optimizing bids, budgets and keywords, enabling sellers to manage multiple sponsored ads in a cost-efficient manner, reduce organic sales cannibalization and improve catalog visibility.
Provider of real estate services intended to simplify the residential leasing process. The company provides a range of services including screening tenants and running their background checks as well as providing rental property damage protection and guaranteed rental income in case the tenant defaults, enabling landlords to protect their rental income and manage risks that come with renting.
Data Sentinel operates an enterprise-sensitive data management platform designed to enhance data privacy compliance, governance, and quality. Utilizing advanced deep learning technology, the platform identifies, inventories, classifies, and tags sensitive data while assessing its sensitivity in financial terms. It effectively uncovers duplicate data, audits data quality, and measures data risk, enabling organizations to manage their data assets responsibly. The platform also automates Data Subject Access Requests (DSAR) and supports active data governance, allowing businesses to utilize their data assets for innovation and growth. Through its tailored integrated technology, Data Sentinel provides clients with the tools necessary to navigate the complexities of data management in a real-time environment.
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