Data & Analytics

Archimedes is a vibrant research hub dedicated to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory. Established in January 2022 as a unit of the Athena Research Center, it aims to position Greece as a leading player in AI and Data Science. The hub connects the global AI and Data Science research community, fostering groundbreaking research and providing enriching opportunities for students through collaborations with Greek and foreign universities and research institutes. Archimedes is funded by the EU Recovery and Resilience Facility (RRF) and focuses on leveraging AI to address real-world challenges and promote innovation within the Greek ecosystem.

AI Betting Tips is a mobile application that leverages advanced AI and machine learning to provide accurate football and soccer betting predictions. The app analyzes over 10,000 historical matches, team form, player statistics, and real-time data to generate reliable insights. It covers more than 50 major football leagues worldwide, including the Premier League, La Liga, and Champions League. Users benefit from in-depth analysis, real-time updates, and a user-friendly interface designed for effortless access to predictions. The AI model continuously learns and improves, adapting to changing team dynamics to offer consistently reliable predictions, making it a valuable tool for sports bettors.

Aignostics specializes in leveraging AI to turn complex biomedical data into actionable insights for biopharma companies. The platform offers a range of products and services, including Pathology Foundation Models and the Atlas H&E-TME application for comprehensive tumor microenvironment profiling. Aignostics also provides custom services for target and biomarker discovery, translational research, and digital diagnostics, supporting the entire drug development pipeline from early discovery to clinical applications. With proprietary access to multimodal data from over 30 million patients and a team of deep biomedical experts, Aignostics aims to improve patient outcomes through advanced machine learning capabilities and cutting-edge academic collaborations.

Monarcha is an AI-powered geospatial intelligence platform designed to transform scanned maps and documents into structured, GIS-ready data. It offers AI-powered georeferencing, automatically aligning maps to real-world coordinates, supporting various projections including local mine grids and UTM. Beyond georeferencing, Monarcha digitizes vector features like polygons, lines, and points from raster maps, allowing export in formats like Shapefile, GeoJSON, or KML. The tool also excels at document extraction, pulling structured data from drill logs, assay certificates, and geochemistry results. Monarcha integrates with existing GIS and data management platforms like ArcGIS and Leapfrog, providing outputs in GeoTIFF, Shapefile, GeoJSON, structured JSON, and CSV formats.

WeatherGenerator is a groundbreaking European initiative focused on transforming Earth system science through advanced AI and high-performance computing. Its primary objective is to improve weather and climate predictions, enhance renewable energy planning, and provide better tools for mitigating the effects of extreme events like floods and heatwaves. The project combines the latest machine learning techniques with high-performance computing to create a robust tool for scientific discovery and real-world applications. This ensures Europe remains at the forefront of innovation in weather and climate, offering an accessible European foundation model for diverse applications in Earth system science. Key goals include deepening Earth system understanding, optimizing energy planning and disaster aid, and offering open-source tools and data.

Nixtla offers TimeGPT-1, the first foundation model specifically designed for time series forecasting and anomaly detection. This generative pre-trained transformer is trained on over 100 billion data points, enabling zero-shot inference for immediate insights without prior training. It supports various domains including retail, electricity, finance, and IoT. Key features include fine-tuning capabilities, API access, the ability to add exogenous variables, multiple series forecasting, custom loss functions, cross-validation, and prediction intervals. TimeGPT can be integrated via public APIs, deployed within Snowflake environments, or on private infrastructure, making it a versatile solution for data scientists and analysts seeking efficient and accurate time series analysis.

StaxSol is a rapidly growing software development company specializing in AI-powered solutions and custom software development. They partner with clients to bring AI and SaaS visions to life, offering expertise in generative AI, web application development, mobile app development, cloud services, DevOps consulting, IoT solutions, UI/UX design, and quality assurance. StaxSol serves a diverse range of industries including healthcare, education, finance, manufacturing, retail, and gaming, providing tailored software to meet unique business requirements. With a focus on innovation and quality, they aim to deliver successful outcomes for their clients, boasting over 30 happy clients and 50 products launched.

Arlequin AI, featuring the Human Data Explorer (HuDEx), is an AI-native platform designed to analyze massive, raw, unstructured, and multilingual datasets. It helps organizations unlock actionable insights to drive strategic decisions by processing millions of sources in seconds, mapping critical information, and providing a strategic edge. Unlike traditional generative AI, Arlequin focuses on comprehension models, offering fully transparent insights traceable to their source, without black box issues or hallucinations. The platform is GDPR compliant, sovereign, and deployable on-premise, ensuring data security. It enables users to collect data from various sources, analyze it with cutting-edge AI models, and act on insights through powerful visualizations and chatbots, all without requiring technical skills.

Deep Learning Analytics, a Center of Excellence within General Dynamics Mission Systems, specializes in creating and deploying advanced machine learning and deep learning algorithms for critical defense applications. Their expertise spans various data types, including image recognition, digital twins, radio frequency signals, audio signals, temporal knowledge graphs, video analysis, and natural language processing. The team focuses on developing AI solutions that support smarter forecasting, threat detection, complicated problem solving, and decision-making for warfighters. They are adept at overcoming data scarcity challenges by increasing training data through methods like synthetic data generation. A key differentiator is their ability to deploy these complex AI systems on small, power-efficient mobile platforms and integrate them into existing DoD programs.

Falkonry is an engineering platform designed to stop AI waste by bridging sensors and operational action through hypothesis-driven telemetry. It offers professional-grade infrastructure to ingest, contextualize, visualize, and analyze industrial telemetry data across various domains. The platform features Time Series AI for anomaly detection and pattern recognition, leveraging a private, deep neural network to economically learn multi-timescale embeddings of time series data. With powerful no-code/low-code tools, Falkonry democratizes analytics, empowering process and reliability engineers to discover multivariate patterns and anomalies without extensive data science expertise. It supports deployment across Edge, Cloud, On-Premises, Air Gap, and Sovereign environments, making it adaptable to diverse operational needs.

Elementera AI specializes in making brands machine-interpretable and confidently surfaced in AI answers. They address the challenge of AI models struggling to understand fragmented brand positioning by structuring signals, ensuring entity clarity, and maintaining contextual consistency. The service goes beyond traditional SEO, focusing on Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) to ensure brands are cited and recommended by platforms like ChatGPT, Gemini, and Perplexity. Elementera unifies technical SEO, AEO, and GEO into a single service, offering expertise in optimizing site structure, content for AI-friendly formats, and controlling brand voice across LLM engines. Their approach aims for long-term control and measurable improvements in AI visibility and traffic growth.

Wherobots is an AI Context Engine for the Physical World, offering a unified platform for geospatial analytics, satellite imagery analysis, and spatial AI at planetary scale. Built by the original creators of Apache Sedona, WherobotsDB handles distributed spatial compute with over 300 spatial functions for vector and raster data, compatible with Spark SQL. RasterFlow enables satellite imagery analysis at any scale, while the Spatial AI Coding Assistant integrates with VS Code and other AI coding environments. It connects to existing data in AWS S3, Databricks Unity Catalog, and AWS Glue, supporting Apache Iceberg for lakehouse-native operations. Wherobots aims to accelerate geospatial data processing, with reported improvements of up to 20x faster operations.

Earth Science Analytics AS (ESA) offers advanced AI technology tailored for the energy industry, helping companies unlock the full potential of their data. Their flagship product, EarthNET, is a suite of geoscience tools that integrates cloud-technology, high-performance computing, and artificial intelligence to process and analyze vast and diverse datasets with speed and precision. EarthNET supports critical operations in Oil & Gas, Carbon Capture & Storage (CCS), and Renewables, enabling data-driven decisions for predicting hydrocarbons, optimizing production, site screening for CCS, and offshore wind placement. The platform significantly reduces interpretation time, improves prediction accuracy, and lowers operational costs, transforming industrial data into real-life business value.

DotModus is a technology firm that provides comprehensive services in data analytics, machine learning, and custom software development. They assist organizations in leveraging cloud computing and big data to drive business transformation. Their expertise spans cloud architecture, infrastructure, migration, DevOps, and managed services, with a strong focus on Google Cloud, AWS, and Microsoft Azure. DotModus offers solutions for business intelligence, data visualization, predictive analytics, natural language processing, and video analytics. They also provide dedicated resourcing, team leasing, and augmentation, alongside agile software development and legacy system modernization, making them a versatile partner for complex digital initiatives.

Exponential Technologies provides a revolutionary R&D data science platform, xT SAAM, designed to accelerate product development in industries like additive manufacturing, chemicals, and biotechnology. The platform integrates Artificial Intelligence and Machine Learning to replace traditional design of experiments, suggesting improvements and optimizing experiments with significantly less data. It offers robust data management capabilities, keeping all experimental data clean, connected, and stored in one place, with easy API integration to other systems. Furthermore, xT SAAM includes powerful analytics tools, allowing users to turn data into insights through interactive visualizations, custom reports, and predictive models, ultimately reducing R&D time, increasing production speed, and improving product performance.

Sigmoidal is an AI consulting company specializing in helping businesses harness the power of Generative AI. They offer three core services: Sigmoidal Edge™ for AI consulting, Sigmoidal 360™ for custom AI software development, and Sigmoidal Aurora™ which is an AI Knowledge Assistant for enterprises. Their consulting services focus on accelerating growth and achieving tangible results through Generative AI. For software development, they align business deliverables with custom AI solutions, testing initial use cases with MVPs. Sigmoidal Aurora™ provides a fast, conversational AI assistant that can be fed with enterprise data to provide verifiable answers with references and schedule actions. They aim to create safe and beneficial AI systems that drive progress and innovation.

Lotus AI Yapay Zeka ve Bilişim Çözümleri A.Ş. (Lotus AI) focuses on providing AI and IT solutions, with core expertise in Artificial Intelligence algorithms, Data Processing (ETL), and Enterprise Software. The company leverages machine learning, optimization techniques, flexible computing methods, evolutionary computation, and statistical methods in its AI offerings. Additionally, they handle ETL and big data operations. With founders possessing 20 years of experience in corporate software development and operations, Lotus AI aims to provide production tools for AI solution developers and create tailored solutions for organizations' specific needs. They offer specialized solutions, expert consulting, and training in AI and big data.

Tinq.ai is a full-stack AI workspace platform designed to unify scattered data, wikis, and tools into a single, intelligent layer. It enables AI assistants like ChatGPT, Claude, and Gemini to access accurate, context-aware information from an organization's internal knowledge base. The platform connects to diverse data sources such as Google Drive, SharePoint, Notion, CRMs, and ticketing systems, indexing documents, PDFs, slides, and images while mirroring existing permissions for security. Tinq.ai provides a simple drop-in RAG API, allowing any AI to deliver fresh, cited, and organization-aware answers. It also offers real-time syncing, built-in analytics for usage and knowledge gaps, and the ability to combine multiple data sources for comprehensive insights.

FDNA is a leading AI-powered platform specializing in image analysis for the early detection and management of developmental and genetic disorders. It serves healthcare professionals, parents, and pharmaceutical companies by providing decision support tools for diagnosis and care management. The platform leverages a comprehensive database of phenotypic information and multi-modal algorithms, including Deep Gestalt® for syndrome mapping and Gestalt Matcher™ for discovering new syndromes. FDNA's technology is used in over 10,000 medical centers worldwide, supporting the patient's journey from early signs to treatment plans and facilitating interoperability between healthcare providers, patients, and the pharmaceutical industry.

NextBrain AI provides a comprehensive platform for AI workflow automation and no-code machine learning, enabling teams to deploy practical AI faster. It features modules for AutoML, a Knowledge Repository (RAG) for unstructured data, Document Extraction for structured data, Document Comparison for instant analysis of changes, and Workflow Automation to orchestrate tools and actions. The platform is designed for enterprise use, offering intelligent automation, predictive analytics, unified data connectivity, and robust security. It aims to move from exploration to production quickly with understandable, measurable interfaces.

Neuralk AI offers a powerful tabular foundation model designed for enterprise predictions, delivering instant and highly accurate results on structured data. It eliminates the need for traditional training and pipeline setup, making it significantly faster and less resource-intensive than conventional machine learning approaches like XGBoost or AutoML. The platform is pretrained on billions of tabular datasets, enabling it to understand complex patterns in rows and columns. Users can send their data and receive predictions in seconds via a single API call, supporting classification and regression tasks on up to 50 million rows with mixed data types. Neuralk AI is built for production, offering enterprise-grade security where data is processed in memory and never stored, ensuring compliance and data privacy.

OddsGPT is an AI-powered platform providing free football predictions and betting picks. It leverages advanced AI models, including GPT, Claude, and Gemini, to analyze millions of data points across over 1,000 football leagues globally. The tool generates predictions by combining expected goals (xG) analysis, historical match data, team form, head-to-head records, and real-time odds movements. Users can find high-probability picks and value bets for various markets like 1x2, Over/Under 2.5, Both Teams to Score (BTTS), and Correct Score. OddsGPT also offers a suite of betting calculators, including Arbitrage, Expected Value, Poisson, Kelly, and Odds Converter, to assist users with bankroll management and identifying profitable opportunities. The platform emphasizes data-driven analysis to help bettors make informed decisions, though it clarifies that its content is for informational purposes only and does not constitute betting advice.

Guane Emerging Technologies is a research-based company specializing in emerging technologies and artificial intelligence, offering industry 4.0 solutions to enhance business efficiency, agility, and automation. They develop custom software leveraging AI, machine learning, and computer vision, supported by applied research. Guane provides specialized services across various sectors, including ENERGYTECH with THORI AI for energy ecosystem planning, LOGTECH for intelligent cognitive assistants in cargo transport, and LEGALTECH for efficient data management and digital transformation in legal processes. Their expertise spans science and research, business knowledge, process automation, and digital transformation, with a focus on helping clients integrate into the Fourth Industrial Revolution.

Taranis offers cutting-edge crop and farm management software designed for precision agriculture, leveraging AI-powered insights to drive efficiency and results across every acre. The platform provides full-service, leaf-level insights, enabling advisors to cover more acres, scout from anywhere, and prioritize farms needing attention. Key capabilities include detecting and analyzing crop threats like weed severity, disease, insect damage, and nutrient deficiencies, both in-season and after. Taranis utilizes high-definition imagery, collected by drones, with submillimeter resolution for every acre. Its deep AI and machine learning models are trained by over 500 million data points, ensuring accurate and timely insights for decision-making and recommendations. The introduction of Ag Assistant™, the agriculture industry’s first generative AI-powered agronomy engine, further transforms crop input and farm management decisions.