Kleida Martiro
Partner
Kleida Martiro is a Partner at Glasswing Ventures with specialized expertise in data science, entrepreneurship, and product management. As the former Head of Data Science at SocialFlow (acquired by Piano.ai), she led the machine learning efforts for the software platform, including its AI-powered proprietary content classifier for automating editorial content categorization.
Prior to SocialFlow, Kleida served on the Strategy and Analysis team at Digitas, part of Publicis Groupe, where she contributed to strategic initiatives for Bank of America. Kleida oversaw the utilization of new technology tools to enhance performance, including advanced analytics and the creation and implementation of digital content across social channels.
Kleida graduated cum laude from Mount Holyoke College with a BA in Economics, Mathematics, and Spanish and holds an MBA with honors from the Kellogg School of Management.
She has been listed among Business Insider’s “41 Most Important VCs in Boston”, honored as a 2023 Rising Star by The Venture Capital Journal, and is a Boston Business Journal “40 Under 40” honoree. Currently, Kleida serves on the Steering Committee of the Boston Chapter of All Raise, committed to amplifying the success of women in the tech and venture ecosystems.
Harnesses AI to identify and remediate fraudulent websites and social media accounts, for brand and customer protection
alluresecurity.com
@AllureSecurity
Allure SecurityAllure Security helps organizations safeguard their digital brand, lower fraud costs, reduce the workload for security teams, and prevent customers, partners, and employees from becoming victims of fraud. To accomplish these outcomes, Allure detects, disrupts, and eliminates the brand impersonation scams that lead to fraud across the entire digital landscape: web, social media, and mobile.
Allure uses Artificial Intelligence to automate the daunting task of analyzing tens of millions of sites, pages, applications, and other content sources accurately and efficiently every day; then employs a multi-faceted response strategy to disrupt and eliminate the brand impersonation scams – before damage can be done.
AI-enabled developer platform the provides instant project visibility and tracking, with real-time insights
Beacon is an AI-enabled developer experience platform for improving engineering team visibility and coaching, as well as enabling faster and more effective engineer onboarding. Beacon’s integrated intelligence platform leverages hundreds of data points per day, including local file changes, test/app runs, GitHub requests, and Jira updates to provide analytics, insights, coaching, training, and AI/ML predictions to engineering leaders and junior engineers. Beacon’s solution directly addresses engineering teams’ pain points by improving onboarding time through streamlined access to documentation and resources, improving developer productivity, and enabling better coaching and learning by allowing junior engineers to access insights and past learnings from peers.
AI-enabled SaaS-based Risk Assessment platform focused on assessing third-party risk and security benchmarking.
Black Kite is an AI-enabled SaaS-based Risk Assessment platform focused on assessing third-party risk and security benchmarking. Its product brings unmatched levels of detail, insight, and clarity to customer security operations at a much higher frequency than the competition, at a fraction of the cost, due to the automation provided by Machine Learning. This delivers on customers’ needs of continuous monitoring, which are fast becoming an industry requirement and is not possible with other solutions in the market.
The industry’s first cloud-native data management and analytics service on AWS
ChaosSearch is the first cloud-native data management and analytics service on AWS, allowing businesses to store, search, query, and visualize terabytes of data through the ELK stack (Elastic, Logstash, Kibana) within their S3 infrastructure. ChaosSearch can reduce data size and storage costs by up to 5x, creating a fundamental data infrastructure for AI-enabled solutions while helping customers increase their storage period and reduce their hosting costs.
Stealth mode
Solid Protocol powered platform that uses existing W3C standards to define a user-centric method of storing and sharing data.
Inrupt is a Web 3.0 platform company that leverages cutting-edge Solid technology, developed by Sir Tim Berners-Lee and his team at MIT, to allow for the re-decentralization of the web. Its enterprise-grade platform leverages Inrupt’s universal data model to empower users and enterprises to break down data silos while disrupting the existing data ownership model. In addition, the platform enables developers to access user-permitted data directly and reuse it seamlessly, dramatically changing the way applications work today. This creates a new paradigm for creating applications that can enable an AI future that is beneficial for everyone.
The industry’s first AI-enabled digital marketplace for scientific products
Labviva is the first AI-enabled digital marketplace for scientific products. Its platform leverages Natural Language Understanding (NLU) to scan research papers and intelligently enable scientists to seamlessly justify the products they need. NLU is also used to quickly ingest product data from suppliers and to create one view of products and pricing for procurement professionals. Labviva’s marketplace enables pharmaceutical researchers, procurement professionals, and suppliers of instrumentation, reagents, and chemicals to transact in a price-transparent, cost-effective, and time-efficient manner, disrupting established distribution channels in the more than $100B global scientific marketplace.
An intelligent platform for smart space planning in buildings and facilities
Lambent is an intelligent platform for smart space planning in buildings and facilities. Its SaaS platform leverages AI to deliver occupancy analytics for space optimization at corporate campuses and colleges. The Lambent Spaces platform leverages existing data sources such as Wi-Fi and sensors to provide anonymous and predictive analytics on people movement and occupancy. The software delivers actionable intelligence so that facilities professionals and space planners can make better use of the spaces they have.
Enterprise software solution enabling the data owner to monitor, detect, and soon remediate data issues in real-time.
Telmai is an enterprise software solution enabling the data owner to monitor, detect, and soon remediate data issues in real-time. The team is building the first and only scalable data quality solution, leveraging semi-supervised machine learning to monitor all data passing through the data pipeline prior to entering the data warehouse, protecting downstream systems, and analytics used for decision making. Telmai is 70%+ accurate out-of-the-box and can reach 90%+ with just a few hours of human-in-the-loop training. Telmai’s real-time architecture supports anomaly detection closest to data sources and works over complex data types with native support for nested and multi-valued attributes.
An enterprise security company that automates access management while ensuring users have enough access
Trustle is a ML-enabled platform that offers identity governance and administration, multi-cloud privileged access, and entitlements management capabilities to enterprise teams. Trustle’s mission is to revolutionize software access management, better supporting distributed and virtual teams while also maintaining security, safety, and convenience. Its enterprise security platform makes it possible for cloud teams to take the guesswork out of cloud access management with automated processes, deep visibility, continuous monitoring, deep inspection of services, forensic trails, constant compliance, and easy connectivity. The Company leverages ML-enabled user intelligence to run real-time analysis of user access, peer group comparisons, and areas of risk to streamline and automate access to key systems.
AI-enabled platform utilizing computer vision to monitor, analyze, and flag mistakes during the manufacturing assembly process
Retrocausal is an AI-enabled platform utilizing computer vision to monitor, analyze, and flag mistakes during the manufacturing assembly process.