Data & Analytics

PredictBet is an AI-powered platform designed to assist users with soccer betting predictions. The tool leverages machine learning and historical match data to generate probabilities for various betting markets, providing daily tips and high-confidence picks. It emphasizes transparent tracking of its predictions, allowing users to monitor performance and make data-driven decisions. By analyzing extensive datasets, PredictBet aims to offer insights that can enhance a user's betting strategy, moving beyond mere guesswork to a more analytical approach based on statistical probabilities.

CVEDIA provides an AI video analytics platform built for edge deployments and proven in defense applications. It offers solutions for security, business intelligence, and critical infrastructure, enabling real-time threat detection, perimeter security, and incident response. The platform transforms raw video into metadata for business intelligence, including counting dashboards and customer flow analysis. CVEDIA differentiates itself by owning the full AI pipeline, from synthetic data generation and model training to hardware optimization and VMS integration. It supports various hardware architectures and offers native plugins for leading VMS platforms like Milestone XProtect and Nx Witness, ensuring deployment flexibility and efficiency.

Fanplayr is an AI-driven behavioral marketing platform designed to help businesses achieve growth by making behavioral data actionable. It acquires, processes, and analyzes first-party data to determine segmentation, performance, and targeting strategies. The platform enables real-time personalized messages and offers across multiple channels, including on-site experiences, emails, SMS, and web push notifications. Fanplayr also provides AI-powered product recommendations to maximize conversion opportunities and offers a cookieless future solution with PrivacyID. Its comprehensive features include a customer data platform (Fanplayr 360), merchandising tools, and robust reporting, catering to industries like e-commerce, telecom, automotive, and financial services.

Pangaea Data's PALLUX platform leverages AI to find untreated and under-treated patients by mimicking clinicians' manual review processes based on clinical guidelines. This approach helps identify patients with conditions like COPD, CKD, cancer cachexia, lung cancer, ovarian cancer, Crohn's disease, primary biliary cholangitis, and lupus nephritis, who might otherwise be undiagnosed or misdiagnosed. The platform boasts unparalleled accuracy, published to outperform alternative methods, and is scalable for prevalent, rare, and hard-to-diagnose conditions. It features an intuitive, explainable dashboard that integrates into existing EHR systems, ensuring compliance with healthcare regulations and zero disruption to clinical and IT workflows. Pangaea Data aims to close care gaps and improve patient outcomes worldwide.

Mozaic Earth is an AI-native platform designed for site-level nature intelligence, enabling organizations to collect and analyze habitat and biodiversity data efficiently. It facilitates collaboration with local staff and communities, allowing for data collection and analysis in a fraction of the time and cost, with full transparency. The platform features an intuitive mobile app for field data collection, making it easy for anyone to capture geolocated data, even offline. For ecologists, Mozaic Earth offers an AI-powered nature analysis platform that accelerates remote surveys and provides AI-driven recommendations, increasing capacity by 2-3X. It also generates audit-grade biodiversity risks and impact reports, combining remote sensing insights with ground-truth data to quantify and track environmental impact.

Jendi is an innovative AI-driven platform designed to understand and predict human behavior using advanced deep learning techniques. It integrates a diverse range of data, including biomarkers, nutrition, behavioral and psychological insights, and even quantum mechanics, to create a comprehensive profile of an individual's state. The platform's core objective is to deliver real-time, actionable recommendations based on an individual's current behaviors and feelings. Its initial application is geared towards proactive wellness management, specifically targeting the prevention of common issues like burnout. By leveraging a holistic data approach, Jendi aims to empower users with personalized strategies to maintain and improve their overall well-being.

NatureDots offers AquaNurch Digital Twin, a foundational AI layer for water and aquatic environments, integrating data layers with user-specific functional layers. This system constructs operational Digital Twins that interpret complex ecosystem dynamics at a geo-precise scale, delivering timely insights and predictive foresight. Deployed across 275,000 hectares, the platform significantly reduces operational effort by 20x and lowers both CAPEX and OPEX. The suite includes Twinity for water industry users needing predictive intelligence beyond monitoring, Twingills for next-gen water and fish intelligence in aquaculture, and Twinsfera for monitoring ecosystem changes, biodiversity risks, and climate shifts. NatureDots aims to build 10 million hectares of climate-resilient waterscapes.

MindSIM, founded in 2019, is a technology company specializing in AI-driven solutions for asset management, primarily serving the energy and oil & gas sectors. Their core objective is to enhance operational safety, reduce costs, and minimize environmental impact for their clients. MindSIM utilizes AI software, Big Data, and Analytics to monitor and prevent operational issues, enabling proactive decision-making rather than reactive problem-solving. This approach shifts the industry paradigm from corrective to preventive maintenance, significantly impacting costs, emissions, and asset security. Their product offerings include the MindSIM Maintenance Tool (MMT) and MindSIM Digital Twin (MDT), both designed to increase asset availability and operational efficiency.

New Lantern is a comprehensive AI-native radiology platform designed to replace disconnected radiology systems with a single, cloud-native solution. It integrates an intelligent worklist, an ultra-fast cloud-native viewer, and AI-powered reporting into one workspace. The platform's Curie AI pre-drafts up to 75% of radiology reports, learning from the radiologist's language patterns and edits to improve accuracy over time. This system eliminates the need for on-premise servers and local software installs, allowing sub-second image loading from any device, anywhere. New Lantern is FDA-registered and provides a complete PACS replacement, migrating historical imaging data for full continuity.

SOLIXY is a digital marketing agency established in Gabes, Tunisia, since 2017. They focus on providing comprehensive digital marketing, web marketing, and digital strategy solutions. Their core vision is to effectively align marketing and sales efforts for their clients, aiming to generate qualified and mature leads, accelerate lead-to-client conversion, and deliver a unique buyer experience. The agency emphasizes the importance of digital marketing and artificial intelligence to achieve a strong return on investment for businesses. They offer services such as website creation, Facebook page management, and Facebook sponsoring.

Calibrated Athlete is an AI-powered platform designed for comprehensive athlete tracking and performance optimization. It offers an all-in-one solution to track every aspect of an athlete's journey, including workouts, nutrition, sleep, and recovery. The platform provides a unified view of performance metrics, enabling data-driven decisions through intelligent insights. Coaches can leverage team management features to generate athlete reports, gain deep insights into team performance and recovery, and compare individual data to team averages. With easy integration for popular fitness devices and apps, Calibrated Athlete aims to transform data into victories and record-shattering performance for both individual athletes and teams.

stocksight is an open-source stock market analysis and prediction software that leverages Elasticsearch to store and process data from Twitter and news headlines. It performs natural language processing and sentiment analysis on this data to determine how public sentiment might affect stock prices. The tool can be used to analyze emotions related to specific stocks or broader topics. It requires Python 3.x, Elasticsearch 5.x, and Kibana 5.x, and can be installed locally or via Docker. Users can configure keywords for Twitter mining, follow links in tweets and news headlines for deeper sentiment analysis, and integrate stock price data. stocksight provides a comprehensive framework for data scientists and financial analysts to explore the relationship between public sentiment and market trends.

Fantasy Football Fix is an AI-driven platform designed to enhance the Fantasy Premier League (FPL) experience, helping users win their mini-leagues. It offers cutting-edge artificial intelligence to provide personalized transfer and chip advice, along with live insights from leading FPL managers. Key features include AI Recommended Transfers, Elite XI Team Reveals that track top FPL managers, and a Future Gameweek Planner for strategizing transfers and chip usage. The platform also provides access to advanced Opta and FPL statistics, a Price Change Predictor to boost squad value, and a tool to solve captaincy woes with pre-deadline data. Available on web, iOS, and Android, FPL Fix aims to turn FPL managers into mini-league winners.

QLECTOR LEAP is an AI-powered production planning and operations optimization platform designed for manufacturing companies. It helps bridge the gap between planning theory and shop-floor reality by turning messy spreadsheets into intelligent, optimized plans using real production data. Key features include intelligent production planning and intelligent workforce scheduling, creating a digital twin of production processes to simulate scenarios and suggest optimized plans. The platform aims to increase planner productivity by up to 50%, improve on-time delivery by up to 15%, and reduce organizational downtime by up to 25%. It also helps reduce inventory levels, work-in-progress, and saves time for logistic personnel and team coordinators.

wappier is a leading revenue optimization platform specifically designed for mobile games, apps, and wireless carriers. Leveraging a powerful AI engine, it analyzes billions of data facts daily to deliver the next best action for driving consumer conversion and engagement. The platform utilizes advanced Large Quantitative Models to construct sophisticated digital twins for each customer’s consumer base, enabling real-time predictive insights and dynamic influencing of consumer behaviors. Key features include Global Pricing for optimizing in-app purchase prices per country, Promotional Pricing for personalizing special offer prices based on user sensitivity, and Next Best Action for targeting customers with optimal offers and creatives. wappier helps businesses convert more consumers into payers, engage customers with gamification, and monetize by increasing lifetime value and boosting revenues.

Time-LLM is an official implementation of a reprogramming framework designed to repurpose Large Language Models (LLMs) for general time series forecasting, while keeping the backbone language models intact. It posits that time series analysis can be effectively treated as a language task for off-the-shelf LLMs. The framework consists of two main components: reprogramming input time series into text prototype representations suitable for LLMs, and augmenting input context with declarative prompts, including domain expert knowledge and task instructions, to guide LLM reasoning. The tool supports various LLMs, including Llama-7B, GPT-2, and BERT, and has been adopted for solar, wind, and weather forecasting by XiMou Optimization Technology Co., Ltd. (XMO).

HelloData is an AI-powered platform designed for multifamily real estate professionals to automate market analysis and rent surveys. It provides daily updates on over 35 million units across the U.S., enabling users to screen deals faster, optimize rents, and gain deep market insights. Key features include automated market surveys, unit-level rent and amenity data, market analytics with map-based trend analysis, and development feasibility analysis. The platform also offers rent roll analysis, financial underwriting with AI, and a query builder for bulk data analysis. HelloData aims to save multifamily professionals significant time on market research and deal analysis, providing real-time, accurate data for informed decision-making.

Vivent Biosignals offers an advanced solution for agriculture by leveraging biosensors and AI algorithms to decode real-time plant biosignals. This technology allows farmers, indoor growers, and academics to make plant-driven decisions, optimizing growing conditions, detecting stress, diseases, and pests before visual symptoms appear, and accelerating the development of new crop inputs. The system provides insights into how crops respond to their environment, leading to improved yields, reduced inputs, and more sustainable practices. Vivent Biosignals is a B Corp-certified company, committed to social and environmental standards, and supports various agricultural settings including fields, greenhouses, and indoor farms.

Augment Technologies offers the AI-driven Muckpile Block Model™, a world-leading 3D blast movement solution for open pit mining. Powered by artificial intelligence and a physics engine, it accurately predicts ore material landing spots minutes after a blast. This technology helps increase metal ore recovery by up to 5%, minimizes ore loss and dilution, and can generate tens of millions of dollars in additional revenue per mine annually. The software-only solution integrates seamlessly with existing workflows and general mining software like Datamine™, improving site safety by reducing the need for personnel on drill pads and muckpiles. It provides precise information for geology, drill and blast, and management teams to optimize operations and improve NPV.

ComtoPoint is an AI-driven tool designed to enhance the Amazon shopping experience by providing instant, comprehensive analyses of product reviews. It eliminates the need for users to manually read through thousands of comments, offering real-time insights into product quality, customer sentiment, and performance. This empowers shoppers to make more informed and quicker purchase decisions. The tool aims to save users time and effort by distilling vast amounts of review data into actionable intelligence. While the homepage also mentions services like website design, branding, and content strategy, the primary AI offering highlighted is the Amazon review analysis.

Rubicon AI offers next-generation behavioral artificial intelligence (AI) assessment tools designed to support corrections teams. The platform utilizes clinically validated technology to enhance decision-making and optimize resource allocation within correctional facilities. It provides solutions for automating administrative operations such as intake assessments, mental health evaluations, classification, and educational and training programs, as well as pre/post-release support. By automating information capture through tablets, kiosks, or phones, Rubicon AI eliminates the need for direct staff interaction for initial data collection. The system analyzes self-reported information and automatically captured video/audio using behavioral AI, providing insights and scoring for critical areas like suicide ideation to augment staff decisions and prioritize individuals for professional assessment. This approach helps facilities manage limited resources and high staff turnover while maintaining consistent service quality.

Stock-analysis-engine is an open-source platform designed for building and tuning investment algorithms, particularly for use with artificial intelligence and deep neural networks. It facilitates the backtesting of thousands of minute-by-minute trading algorithms using live pricing data from publicly traded companies, with automated data feeds from IEX Cloud, Tradier, and FinViz. The engine supports various data types including pricing, options, news, dividends, and financials. It automatically publishes datasets and trading performance to S3, enabling the creation of AI training datasets for teaching DNNs how to trade. The system is built to run on Kubernetes and docker-compose, offering a distributed stack for robust analysis and live trading capabilities.

ANKLESARIA AIMDRIVE-AI is an industry-leading AI-powered platform designed to accelerate procurement cost management and provide a competitive edge. It offers robust price intelligence, allowing users to track market average price trends, analyze price competitiveness, and evaluate proposals. The platform also provides detailed cost intelligence, including cost breakdowns for products and services, Bill of Materials compositions, and automated 'Should Cost' analysis. AIMDRIVE-AI facilitates collaborative cost optimization by analyzing cost drivers and developing optimization strategies. It aims to convert knowledge into realized savings through fact-based negotiations and offers features like project management, customizable reporting, and repeatable workflows for sustained value.

traceml is an open-source engine designed for comprehensive ML/Data tracking, visualization, explainability, drift detection, and dashboards, specifically integrated with Polyaxon. It enables machine learning engineers and data scientists to effectively monitor their experiments, visualize key metrics, understand model behavior, and detect data drift. The tool supports offline usage and offers integrations with popular deep learning and machine learning libraries such as Keras, PyTorch, TensorFlow, Fastai, PyTorch Lightning, and HuggingFace. Additionally, traceml provides robust artifact tracking for various chart types (Matplotlib, Bokeh, Altair, Plotly) and detailed DataFrame summaries for data profiling and quality checks.