Data & Analytics

Trax Retail offers cloud-based retail management solutions powered by AI, designed to optimize shopper experiences, monitor insights, and increase sales. The platform provides real-time data, retail execution tools, and consumer engagement capabilities, helping businesses break free from traditional retail rules. Key features include AI-powered image recognition (Cloud IR and On-Device IR) for digitizing, analyzing, and optimizing retail spaces, autonomous data collection methods, and on-demand merchandising. Trax Retail aims to provide a comprehensive view of every SKU, offering actionable insights to exceed KPIs and transform shopping experiences. With a global presence and over 55 patents in computer vision, Trax has been delivering world-class AI solutions since 2010.

DATASWATI by VIF is an AI-powered platform, specifically PowerOP, designed to enhance industrial performance by treating production data as levers for efficiency. It helps manufacturers achieve significant improvements, such as a 10% increase in industrial capacity, 10% water savings, 50% operator efficiency, 20% energy savings, and a 40% reduction in material losses. The platform assists operational decisions by identifying deviation causes, intelligent monitoring, preventing anomalies with predictive real-time monitoring, and improving team reactivity through automatic prescriptions. It also reinforces continuous improvement based on recommendations and capitalizes on expert knowledge, making AI technologies accessible to process industries.

Quantum Signals delivers AI-powered intraday trading signals for major US Index Futures (ES, NQ, RTY, YM) and ETFs (SPY, QQQ, IWM, DIA). The platform utilizes finance-native AI models trained on CME Level II order book data, including bid/ask depth, order flow imbalance, and microstructure signals at tick resolution. Signals provide 'Up', 'Stable', or 'Down' price direction predictions from the current moment to market close (16:00 ET), delivered live via Server-Sent Events (SSE). It features a Python API for integration into systematic trading strategies and offers a 1-month free trial for professional signals. Benchmarks and historical predictions are also accessible through a web application.

Picterra is an AI-powered GeoAI analytics platform designed to provide environmental intelligence for monitoring, detection, and protection. It offers a mission control for environmental intelligence, giving sustainability teams visibility, focus, and verifiable proof to drive action and impact. The platform helps users detect risks early, understand critical issues, and respond with confidence, bringing clarity and control to sustainability performance at scale. Key solutions include anticipating production, ensuring EUDR compliance, verifying regenerative agriculture practices, and providing surface intelligence for mining, forestry, and carbon initiatives. Picterra augments existing ESG, supplier, and farm data with near-real-time GeoAI, surfacing land, risk, and compliance insights across global operations.

Focal Systems leverages AI and computer vision to revolutionize retail operations, offering real-time shelf intelligence and automation. The platform deploys AI-powered cameras to provide continuous visibility into product availability, enabling retailers to reduce out-of-stocks, minimize waste, and streamline inventory management. Key features include Computer Vision for comprehensive store monitoring, Shelf AI for optimizing availability and sales, and an Action Tool to translate insights into actionable tasks for staff. Focal also offers an Impact dashboard for measuring operational improvements, helping retailers enhance productivity, ensure compliance, and boost customer satisfaction. It's designed for grocery, convenience, pharmacy, and health and beauty stores.

SPAICE OS is an advanced operating system designed to bring reliable spatial-AI autonomy to aircraft and satellites, even in challenging environments where GNSS or communications may fail. It transforms any aircraft or satellite into a Spatial Agent capable of understanding and operating autonomously using only onboard cognitive sensors. The system focuses on three core technological pillars: Perception, which turns raw sensor data into situational awareness; Planning, for computing optimal trajectories in real-time onboard; and Control, for executing smooth, reliable, and collision-free maneuvers. SPAICE is ideal for applications such as Intelligence, Surveillance & Reconnaissance, Command & Control, Distributed Intelligence, Target Detection, Classification and Tracking, Self-Localization in GPS-Denied Environments, and Terrain Mapping.

Athenic AI is an advanced platform designed to democratize data insights, making analytics accessible to everyone regardless of their technical skill level. It functions as an AI data analyst, providing answers to business questions on demand and insights on autopilot. The tool offers chat-based data interaction, deep research capabilities for multi-step investigations, and customizable dashboards. A key differentiator is its "Agentic Analysis" feature, which proactively monitors business metrics, identifies root causes of changes, and surfaces unprompted insights and anomalies. Athenic AI emphasizes zero hallucination, grounding every answer in governed metrics and verifying against the data layer to ensure trustworthiness. It aims to replace legacy BI tools by offering similar features at a fraction of the cost, with instant dashboard creation, collaborative editing, and scheduled reports.

Augura Space delivers next-generation AI solutions for comprehensive space weather intelligence. Leveraging 3TB of daily space weather data, cutting-edge AI models, and advanced sensor fusion techniques, the platform provides historical analysis, real-time monitoring, and predictive forecasts. This intelligence is crucial for the aerospace, energy, and telecommunications sectors to enhance resilience, optimize operations, and secure critical infrastructure against space weather phenomena. Augura Space also offers custom expert consulting services and will feature sector-specific dashboards and seamless API integration.

CattleEye is the world's first hardware-independent autonomous livestock monitoring platform, designed to enhance herd health and productivity through AI-powered video analytics. By using standard, low-cost security cameras positioned over milking parlour exits, it captures video footage of each cow. Its advanced AI algorithms analyze this footage in the cloud, tracking welfare and behavior insights such as mobility and body condition scores. These insights are then delivered directly to smartphones or existing herd management systems, enabling early intervention for issues like lameness. This system helps farmers reduce costs, increase efficiency, and ensure compliance with environmental standards, ultimately improving animal welfare and farm profitability.

ControlRooms.ai offers an AI-powered troubleshooting assistant specifically designed for chemical processing plants. The platform utilizes artificial intelligence to learn plant behavior dynamically, identifying anomalies and potential issues before traditional alarms or human detection. Key features include AI Anomaly Detection, which surfaces problems well before alarms sound, and AI Trend Search, which scans historical data from thousands of tags to identify similar events for faster troubleshooting and root-cause analysis. This enables frontline teams to proactively course-correct and remediate issues more quickly, reducing unplanned downtime, emissions, and costs. The tool is purpose-built for various chemical plant types, including Syngas, Energy, Petrochemicals, and Specialty Chemicals.

Bluecime, founded in 2015, specializes in innovative image processing solutions, leveraging computer vision and artificial intelligence. The company primarily serves the mountain leisure industry, focusing on ski resorts and cable car operators. Their flagship product, SIVAO, is designed to secure the boarding process for ski lifts, such as chairlifts and gondolas, by detecting potential issues and alerting staff. Bluecime's systems are built to withstand extreme weather conditions, ensuring reliability in mountainous environments. They offer comprehensive solutions including hardware, software, installation, and real-time monitoring, backed by strong customer support and responsiveness. Their expertise combines advanced technology with practical knowledge of mountain resort operations.

OmDet is an open-source project providing OmDet-Turbo, a fast transformer-based open-vocabulary object detection model. It excels in real-time detection scenarios while maintaining high performance. A key innovation is the Efficient Fusion Head, which reduces computational burden and inference time. OmDet-Turbo-Base achieves state-of-the-art zero-shot performance on ODinW and OVDEval datasets, with impressive AP scores of 30.1 and 26.86 respectively. It also boasts a rapid inference speed of 100.2 FPS on an A100 GPU for the COCO val2017 dataset. The project offers installation instructions, local inference capabilities, and the option to run as an API server, making it versatile for various applications.

apic.ai is a leading specialist in automated pollinator monitoring, leveraging artificial intelligence and edge computing to provide reliable and fully automated behavioral assessments of bees and bumblebees. Their minimal-invasive camera system, installed at hive entrances, visually detects all movement in and out of the colony. The collected video footage is analyzed using AI algorithms, providing real-time data on activity, foraging behavior, pollen diversity, mortality, and individual size. This technology helps manufacturers and testers of plant protection products improve risk assessment, enables seed producers to develop practices that enhance crop pollination, and supports companies in designing pollinator-friendly habitats. The scientific approach ensures validated methods and verifiable results, making even subtle effects of substances and environmental factors visible.

Illuminex AI offers the InspectEx platform, an AI-assisted solution for airfield inspections designed to enhance safety and efficiency. Mounted to any airfield vehicle, InspectEx utilizes multiple sensors to capture, measure, and locate safety and maintenance issues in real-time. The platform includes various AI-based detectors such as FODAI for foreign object debris detection, PIDS AI for perimeter intrusion detection, SnowPro AI for snowbank profiling, and EdgeGuard for situational awareness during snow removal. It also offers a Digital Twin feature for creating regularly updated 3D models of airfields for training and operational planning. Illuminex AI emphasizes a human-centric approach, combining AI detection with human judgment for precision and efficiency.

eNOugh is developing eNO, the world's first mini AI bodyguard, designed to autonomously detect and respond to real-world threats using real-time AI intelligence. This wearable device, referred to as the eNO badge, aims to provide personal safety without relying on human reaction during dangerous situations. It leverages multimodal AI to identify potential threats and trigger protective actions independently. The tool is intended for individuals seeking enhanced personal security and aims to offer a proactive, AI-driven solution to real-world dangers, ensuring immediate response when human intervention might be too slow or impossible.

StreamingVLM is an innovative AI tool designed for real-time understanding of effectively infinite video streams. Developed by mit-han-lab, it addresses common challenges in long-video analysis by maintaining a compact KV cache and aligning training directly with streaming inference. This approach efficiently avoids the quadratic cost associated with traditional methods and mitigates the pitfalls of sliding-window techniques. The system is capable of running at up to 8 frames per second (FPS) on a single H100 GPU, offering stable and efficient video processing. It has demonstrated superior performance, winning 66.18% against GPT-4o mini on a new long-video benchmark and also enhances general Video Question Answering (VQA) capabilities without requiring task-specific fine-tuning. The project provides scripts for environment setup, inference, supervised fine-tuning (SFT), and various evaluations including OVOBench and VQA tasks.

Dragonfruit AI is an all-in-one enterprise AI platform specifically designed for retail, leveraging existing camera infrastructure to provide actionable intelligence. It employs computer vision and specialized AI agents to address critical retail functions such as shoplifting detection, queue management, checkout loss prevention, and customer journey insights. The platform offers a unified dashboard for centralized control across various applications and agents, making it easy for LP, Operations, and CX teams to manage. Dragonfruit AI is built for scalability and cost-effectiveness, integrating with existing VMS and camera systems even in low-bandwidth environments. Its patented split AI architecture focuses on edge-first processing to reduce bandwidth and cloud compute costs, making it an efficient solution for multi-location enterprises.

VideoLLM-online is the official implementation of an Online Video Large Language Model for Streaming Video, presented at CVPR 2024. Unlike traditional models that process full videos offline, VideoLLM-online enables real-time interaction within a video stream, allowing it to proactively update responses based on activity changes or assist with next steps. It features a cheap and scalable method for synthesizing streaming data by transforming offline annotations into dialogue data using open-source LLMs. The inference method is parallelized, combining video encoding, LLM forwarding, and response generation asynchronously, achieving high speeds of 10-15 FPS on an A100 GPU for long-form videos up to 10 minutes. The tool is designed for researchers and developers working with streaming video analysis and real-time multimodal AI.

DigyCorp provides advanced digital twin technology and an AI platform to enable secure collaboration, rapid adaptation, and sustainable progress. Their Nexus Digital Twin is outcome-motivated, data-driven, and enhanced by physics, offering real-time insights and optimized performance across complex systems. The Nexus AI Platform leverages machine learning for predictive simulations and data-driven decision-making. DigyCorp's solutions contribute to enhanced operational efficiency, predictive maintenance for cost savings, and sustainability through resource optimization. They also offer bespoke consultancy services, tailoring solutions to specific industry challenges in sectors like ecology, energy, transportation, aerospace, and smart housing.

Dova Health Intelligence, formerly Docbot, specializes in AI-powered solutions for gastrointestinal (GI) health. Their platform utilizes advanced AI to analyze live image data, providing actionable insights for clinicians and researchers. Key products include DovaVision UC for granular disease severity analysis in Ulcerative Colitis from colonoscopy videos, DovaVision BE for real-time neoplasia detection and biopsy targeting in Barrett's Esophagus during gastroscopy, and DovaSound for rapid Inflammatory Bowel Disease activity assessment from intestinal ultrasound imaging. These tools aim to improve diagnostic precision, efficiency, and patient outcomes in GI care, with several products currently available for research and clinical trials, and others in development as medical devices.

Electra Vehicles, Inc. offers an AI-powered battery intelligence platform designed to optimize battery performance and accelerate the transition to sustainable power. Their EVE-AI™ Brain for Batteries provides total visibility and control, helping users cut costs, boost ROI, and extend battery lifespan while minimizing risk. The platform is applicable across various industries, including BESS (Battery Energy Storage Systems), EVs, robotics, and aviation. Key offerings include real-time monitoring, predictive maintenance, adaptive controls, and performance intelligence for applications ranging from fleet management to automotive OEMs and energy infrastructure. Electra's AI-driven BMS (Battery Management System) ensures proactive safety, reliability, and extended battery life.

Flashalgo is an AI-powered platform designed to support traders in developing and optimizing algorithmic trading strategies. The tool provides robust backtesting capabilities, allowing users to rigorously evaluate their trading strategies using historical market data. This feature is crucial for refining strategies before deployment in live markets. Flashalgo supports both automated and manual trading approaches, catering to a range of trading preferences. It integrates real-time market data, ensuring that users have access to current information for analysis and decision-making. The platform also includes user-friendly analytics tools to help traders interpret performance and identify areas for improvement, making it a comprehensive solution for strategy development and execution.

zally is a Behavioral AI Lab focused on developing Large Behavioral Models (LBMs) that offer continuous, real-time understanding of behavior. Unlike traditional systems that rely on historical data, zally's approach allows technology to act on live understanding of what is happening, bridging the gap between events and decisions. This new scientific field, termed Behavioral AI, aims to provide a continuous, real-time behavioral modeling capability. The company's first commercial application is Continuous Authentication, where behavioral signals replace static credentials to verify session trust dynamically, rather than just at login. This technology is crucial for addressing the increasing risks associated with AI deployment stages, from inconvenience to systemic failure and existential risk.

Seeing Machines is dedicated to enhancing safety across various transport sectors, including Fleet, Automotive, and Aviation, by significantly reducing transport fatalities. The company leverages advanced camera-based driver and operator monitoring system technology, underpinned by extensive human factors research. This technology focuses on detecting real-time functional impairment, such as distraction and fatigue, regardless of the underlying cause. Their solutions are built on 20 years of data-driven research, enabling sophisticated algorithm development and advanced software embedding onto silicon. Seeing Machines collaborates with transportation regulatory bodies and global customers to implement their industry-leading optical path research and address challenging in-vehicle lighting environments and human behavioral edge cases.