Data & Analytics

Prisma Retail is a comprehensive SaaS platform designed to transform retail operations by combining artificial intelligence with established business rules. It offers a suite of modules for optimizing critical retail functions, including pricing, promotions, assortment planning, inventory management, and space planning. The platform analyzes, predicts, and suggests actions to help retailers make informed decisions, ultimately aiming to increase sales and margins, reduce working capital, and fine-tune operations. Prisma supports various industries such as convenience stores, oil & gas, supermarkets, and pharmacies, providing tailored insights to improve customer experience, optimize inventory, and enhance competitive positioning. It also includes features like anomaly detection for item master data and tools for maximizing sales, space, and inventory ROI.

APPLY is a Latvian company offering comprehensive AI solutions tailored for business growth. Their services encompass generative AI integration, where they identify areas for process improvement and develop customized systems. They also specialize in computer vision solutions for various industries, from medicine to forestry, providing consultations, business case studies, and project management. Furthermore, APPLY offers full-cycle robotics, mechatronics, and microscopy development, including high-performance optical and microscopic equipment. With over 50 AI projects completed and a team of 55 AI experts, APPLY positions itself as a leading AI partner in the Baltics, emphasizing a 100% execution rate and 14 years of experience.

Boon Logic, Inc. offers AVIS™, an AI-based automated visual inspection system specifically designed for challenging pharmaceutical products. This system leverages unsupervised machine learning to detect unknown defects in real-time, training exclusively on compliant products rather than requiring defect sets. AVIS™ can train new inspection models in under an hour with just 500 units of compliant product, significantly reducing setup time. It delivers continuous, high-throughput inspection at over 50 parts per minute, ensuring production flow without bottlenecks. The system's performance is comparable to or better than trained human inspectors, with greater consistency and repeatability, and is designed to support GMP compliance, including FDA 21 CFR Part 11 and EU Annex 11. Boon Logic also offers Amber for anomaly detection in manufacturing and heavy industrial sectors.

Enream specializes in modern asset performance analytics tailored for the energy sector, aiming to improve equipment reliability, enhance plant efficiencies, and prevent costly failures. By integrating data from multiple disparate systems, Enream provides unified, actionable insights for smarter decision-making. The platform offers predictive maintenance capabilities to identify potential issues early, optimize asset maintenance strategies, and improve uptime. Its unique digital asset strategy, powered by advanced deep learning algorithms, uncovers correlations between upstream and downstream operations, transforming overwhelming alarms into prioritized, actionable insights. Enream helps maximize asset performance, improve operational reliability, and drive sustainable growth in the energy landscape through its cutting-edge AI engine, interconnected decision-making, and increased asset reliability features.

Focus Group Simulator, developed by Verdant Forest, is an AI-powered market research tool designed to provide rapid and cost-effective insights. Leveraging large language models (LLMs) and proven frameworks, the platform automates the survey process, allowing users to identify their target audience and gather valuable market intelligence in minutes, rather than weeks. This tool helps businesses understand consumer behavior and preferences without the high costs typically associated with traditional market research. It's part of Verdant Forest's suite of AI-powered solutions aimed at making software development and business operations faster, more affordable, and accessible.

DeepEcho is a healthtech company leveraging Artificial Intelligence and Deep Learning to revolutionize prenatal and maternal care. The tool mimics the actions of a trained sonographer, providing computer-assisted ultrasound diagnosis to radiologists and minimally trained clinicians. Its core technology includes automated fetal measurements, teleguidance, and remote diagnosis capabilities. DeepEcho aims to prevent birth defects, address preterm birth, and low birth weight outcomes by offering fast screening (3 to 5 times faster) with over 95% accuracy. The solution is scalable and hardware-agnostic, designed to democratize quality ultrasound globally and ensure high-quality maternal and newborn health care.

Transformers_And_LLM_Are_What_You_Dont_Need is an open-source GitHub repository dedicated to challenging the prevailing use of transformers and large language models (LLMs) in time series forecasting. It serves as a comprehensive resource, curating a collection of academic papers, PhD and MSc theses, articles, and videos that present arguments and evidence for why these models might not be the optimal solution for this specific domain. The repository highlights and showcases best-in-class, state-of-the-art non-transformer models, providing researchers and practitioners with alternative approaches and a critical perspective on current trends in time series analysis. It's an invaluable resource for those seeking to understand the limitations of transformers in forecasting and explore more effective methodologies.

Distributional is an analytics platform designed for production AI products, enabling enterprise AI product teams to continuously improve their agents. It addresses the broken agent feedback loop by providing deep visibility into evolving production usage, moving beyond aggregate statistics to uncover behavioral signals. The platform enriches production logs with statistical and LLM-as-judge metrics, then applies continuous adaptive unsupervised analysis, including clustering, topic modeling, and anomaly detection. Users can investigate these insights with context from production data and track signals over time with codified metrics. Distributional is free, open, and deployable to a VPC, with options for local or Kubernetes installation, and offers flexible integrations via OTEL, SQL, or SDK.

Nullmax is a leading AI technology company, founded in Silicon Valley in 2016, with an R&D center in Shanghai. The company is dedicated to advancing autonomous driving and AD/ADAS solutions across all scenarios, aiming to drive the intelligent transformation of transportation. Nullmax leverages cutting-edge computer vision, deep learning, and AI technologies to develop autonomous driving products with excellent generalization. Their MaxDrive platform-based automated driving solution supports various chip platforms and sensor configurations, catering to the diverse needs of OEMs and Tier 1 suppliers. Nullmax also emphasizes a robust Foundation Architecture, comprising data and algorithm platforms, to support AI-driven autonomous driving systems and embodied intelligence.

PowerUp Off-Grid Services offers a Net-Zero Energy-as-a-Service solution with its AI-powered PowerStation, designed to replace fossil-fuelled generators. This portable unit provides silent, emission-free power for various electrical tools and equipment on-site, improving safety and health benefits. The system includes a "Battery with a Brain" that leverages AI for real-time monitoring of performance and consumption, predictive usage, and intelligent scheduling for battery swap-outs. It generates simple, auditable, and compliant reports on kWh used by time, location, and purpose, as well as environmental and statutory CO2 impact. The service emphasizes a true Net-Zero approach, with energy production and delivery powered by renewable sources.

Perceptive Space is building an AI-powered space weather platform designed to provide critical predictions and decision intelligence for safe and reliable operations in harsh space environments. Leveraging artificial intelligence, the platform offers hyperlocal space weather predictions and asset-specific insights into space weather impact. This enables satellite operators and launch providers to significantly enhance mission lifetimes and minimize operational downtimes and service interruptions. Unlike traditional models, Perceptive Space's AI-driven approach excels in accuracy, resolution, and real-time updates, offering probabilistic predictions, near real-time updates, and tailored forecasts specific to orbit and mission design. It provides comprehensive space weather risk management from design through deorbit, delivering actionable insights and seamless integrations via user-friendly APIs and self-serve dashboards.

SmartIR delivers cutting-edge AI solutions that extend beyond road safety, bringing transformative efficiency and precision to a variety of industries. Their versatile tech stack, from neural networks to adaptive algorithms, drives innovation in healthcare, media, sports, and beyond. Key products include SmartVIB, a software solution for critical infrastructure offering structural health analysis through vibration analysis, and DriveSAFE, an AI-powered driver monitoring system designed to enhance road safety by detecting and alerting drowsiness, distraction, and phone use in real time. SmartIR also offers AI-enhanced computer vision technology for securing facilities, enhancing interfaces, and transforming interactions, alongside solutions for digital watermarking, deepfake detection, and identity verification.

Green Rider Technology is an AI and ML company focused on delivering artificial intelligence and machine learning solutions. The company specializes in leveraging data to provide actionable insights and automation, helping businesses make more informed decisions. It also offers intelligent decision-making tools designed to streamline operations and enhance strategic planning. Green Rider aims to drive significant transformation within organizations through its comprehensive AI and ML offerings, catering to various analytical and automation needs.

RS21 is a data science company specializing in artificial intelligence, data engineering, user experience design, and modern software development. They empower organizations to make data-driven decisions that positively impact the world, offering innovative solutions that are insightful, intuitive, inspiring, and intellectually honest. Their expertise spans deep learning, MLOps, ethical AI, data warehousing, data strategy, UX/UI design, data visualization, and software development. RS21 works with public and private organizations across various sectors, including healthcare, defense, safety, urban planning, energy, and social equity, to navigate complex data issues and provide actionable insights.

Bosphorus AI offers an Automated Machine Learning (Auto ML) Platform designed to support all stages of the machine learning lifecycle, from data preparation to model deployment and maintenance. This platform is tailored for data-driven organizations seeking trustworthy and accountable AI solutions. Beyond the Auto ML platform, Bosphorus AI provides a range of solutions for various industries including Energy & Utilities, Oil & Gas, Fintech, Metaverse, Manufacturing, Commodity, Telco, and Retail. They also offer AI and Digital Academies for professional development, along with consultancy services in R&D and EU projects, making it a comprehensive partner for AI adoption and implementation.

Gaiascope's Terra Platform revolutionizes optimization for renewable assets, serving as a foundation for mastering the art of trading and dispatch. Leveraging a distinctive approach to modeling the physical grid, powered by artificial intelligence, Terra empowers users to maximize the value of every MW of their solar, wind, and battery projects. The platform forecasts over 3.8 million individual data points on the electric grid daily, including price points, generating units, bus-level loads, and transformer/line flows. Gaiascope combines physical modeling, AI, and deep trading expertise to offer client-centric bid, offer, and dispatch recommendations, ensuring continuous improvement and supervision 24/7/365. The company's mission is to maintain planetary balance by making sustainable energy assets as profitable as possible.

WindBorne Systems designs, builds, and operates a constellation of long-duration smart weather balloons, known as Atlas, to collect critical atmospheric data globally, including over oceans and remote areas. This proprietary data is then fused with advanced AI models to produce highly accurate weather forecasts through their WeatherMesh deep learning model. The technology allows for complete global access, from the surface to the stratosphere, with each balloon autonomously flying for weeks and controlling its altitude. WindBorne Live provides access to their fleet of AI-powered balloons and real-time weather data, offering solutions for industries like energy, trading, and utilities. The system is designed for safety and compliance with aviation regulations, providing transparent tracking for government partners.

Data-Hat AI provides Orkestra, an enterprise AI agent platform specifically designed for the retail sector. It aims to plug the data-action gap by deploying AI agents that steer full-price sell-through, eliminate stock-outs, and improve margins. Orkestra's agents are pre-trained on industry-specific retail DNA, allowing for tailored solutions in apparel, luxury goods, and health & beauty. Key agents include Merchandise Planner for assortment and allocation, Replenishment Agent for inventory optimization, Demand Forecaster for multi-horizon predictions, and Pricing Optimizer for dynamic pricing. The platform emphasizes responsible AI with a "Human in the Loop" approach, offering full transparency, explainable logic, and configurable thresholds for executive approval.

Alignmate is an AI-powered tool designed to automatically build comprehensive customer dossiers in just 60 seconds. By leveraging artificial intelligence, it provides deep customer insights that help businesses proactively prevent churn before it occurs. The platform focuses on delivering actionable data, allowing users to understand their customers better and take timely interventions. Alignmate aims to streamline the process of gathering and analyzing customer information, moving beyond manual data chasing to empower businesses with the intelligence needed to save customers and foster stronger relationships. It's built to provide complete customer profiles quickly, making customer success efforts more efficient and effective.

Lagozon Technologies specializes in providing comprehensive Data and AI solutions, including Data Engineering, Data Analytics, and AI solutions. The platform helps enterprises modernize operations, unlock insights, and drive growth by building scalable data pipelines, unifying multiple data sources, and transforming raw data into actionable business intelligence. Lagozon's AI Suite allows for the secure creation and deployment of AI solutions, copilots, and intelligent automation models tailored to specific business contexts. They offer industry-specific solutions for sectors like Healthcare, Manufacturing, Pharmaceuticals, Automotive, Retail, and Logistics, enabling smarter care delivery, operational efficiency, and predictive analytics across various business functions.

Earnings Call Analysis Whisperer is an AI-powered tool designed to streamline the analysis of earnings calls. Users can input YouTube URLs or upload audio files of earnings calls, which the application then transcribes. Beyond transcription, it performs sentiment analysis to gauge the overall tone, summarizes the key content, and offers a question-answering search engine. This allows users to quickly extract specific information and insights from lengthy financial discussions, making it an invaluable resource for financial data research and analysis. The tool is hosted on Hugging Face Spaces, indicating its accessibility and potential for community-driven development.

Artisans Commerce Cloud drives Intelligent Enterprise Transformation by unifying data, intelligence, and workflows across retail operations. The platform offers a comprehensive suite of AI-powered solutions including Retail AI Image Editing, Smart Auto-Completion, Smart Product Search, and Personalized Recommendations. It also features a Point of Sale (POS) system (TabsyPOS), Unified Commerce Overview, and D2C eCommerce capabilities. For supply chain, it provides Distributed Order Management, Customer Experience Management, Supply Chain Planning, Merchandise & Assortment Planning, and Warehouse Management System. Artisans Cloud aims to accelerate growth through AI, automation, and unified business intelligence, enabling operational agility and predictive decision-making for sustained business growth.

pgvector is an open-source extension designed for PostgreSQL databases, providing robust capabilities for vector similarity search. It allows users to efficiently store high-dimensional vectors alongside other data within their Postgres database. The extension supports both exact and approximate nearest neighbor searches, making it suitable for a wide range of AI and machine learning applications that rely on vector embeddings. By integrating vector search directly into Postgres, pgvector simplifies data management and retrieval workflows, eliminating the need for separate vector databases. It supports various distance metrics, offering flexibility for different use cases and data types, and is ideal for developers looking to enhance their applications with semantic search, recommendation systems, or RAG capabilities.

Syndata AB specializes in generating synthetic datasets through advanced machine learning and AI algorithms. The core functionality revolves around creating data that statistically mirrors real-world data while being entirely artificial. This capability is crucial for various applications, including predictive modeling, in-depth analytics, and comprehensive software testing. Syndata AB offers Syndapp, a versatile solution that can be deployed both on-premises and in cloud environments, providing flexibility for different organizational needs. This approach allows users to work with realistic data without compromising privacy or security, making it ideal for sensitive data scenarios.