Data & Analytics

Stern Tech develops scientifically validated behavioral AI solutions designed exclusively for human decision-support across various industries. Their technology analyzes behavior, not identity, and is fully owned, developed, and governed in France, ensuring compliance with GDPR and the EU Artificial Intelligence Act. The platform operates with human oversight, processes data privacy-preservingly and energy-efficiently, primarily on user devices, and makes no automated or autonomous decisions. Key products include Alex for securing hiring processes, Pegasus for rapid market insights, Shield for health center care, and WiseDriver for smarter driving. Stern Tech emphasizes trusted, ethical, and sovereign AI.

Smart Targeting is an AI-powered real estate farming solution designed to help real estate agents generate more seller leads and optimize their marketing efforts. The tool utilizes predictive algorithms and data analytics to identify the top 20% of homeowners most likely to sell their homes within the next 12 months in a defined farm area. It offers comprehensive multi-channel marketing campaigns, including online ads, email marketing, postcards, and handwritten letters, all automated to consistently reach these high-potential sellers. Additionally, Smart Targeting automates lead follow-up with landing pages, comparative market analyses (CMAs), and monthly local trends to nurture prospects and build a robust listing pipeline.

Image Captioning with BLIP is an AI tool hosted on Hugging Face Spaces, designed to generate descriptive captions for uploaded images. Leveraging the BLIP model, it analyzes the visual content of an image to produce relevant textual descriptions. A key feature of this tool is the ability to guide the caption generation process by providing a starting text, allowing users to influence the output. This makes it particularly useful for tasks requiring specific types of captions or for refining the AI's understanding of the desired context. The tool is accessible via a web interface, making it easy to use for various applications.

Visual AI Solutions (VAIS) is an AgriTech company dedicated to advancing precision and climate-smart agriculture through artificial intelligence. The platform leverages AI to analyze multi-spectral data sourced from various inputs, delivering crucial insights to farmers and agricultural businesses. A key differentiator is its ability to provide comprehensive data analysis without the need for extensive ground sensors, streamlining operations and reducing infrastructure costs. VAIS offers a SaaS platform that includes capabilities for field-level irrigation management, detailed weather information, proactive disease control, and continuous crop monitoring, empowering users to make informed decisions for optimized agricultural practices.

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.

Social Name Search - FaceSeek is an AI-powered search tool designed to help users find individuals by uploading their photo. Leveraging advanced online search techniques, FaceSeek aims to retrieve public or private information such as names, email addresses, and phone numbers. The tool automates the process of identifying individuals through facial recognition and comprehensive online data aggregation. While the core functionality focuses on person identification, the underlying platform, Hugging Face, offers various pricing tiers for enhanced features like increased storage, compute credits, and advanced hardware options for Spaces and Inference Endpoints, catering to both individual users and larger organizations.

Soaring Titan specializes in building and deploying production agentic AI systems for businesses. They work with portfolio companies, growth-stage businesses, and organizations backed by investors to integrate AI for operating transformation, not just additive improvements. Their approach involves auditing workflows, data architecture, and integrations to identify where AI can compound value. They embed with teams to ship agentic systems designed to deliver measurable operating value within 100 days, then scale these repeatable playbooks across departments or portfolio companies. With a background in FinTech and AI since 2020, they emphasize building alongside clients rather than just advising, focusing on tangible outcomes and measurable impact.

Mantika, previously known as Sherloq AI, is an AI-powered platform designed to help businesses unlock the full potential of their data to drive revenues and scale operations. It provides state-of-the-art solutions across several key areas, including digital marketing, fraud prevention, customer experience, and content moderation. The platform boasts significant impact, with clients achieving over $100M USD in incremental revenues and cost savings across more than 50 successful projects. Mantika emphasizes seamless integration, offering adaptable solutions that require minimal effort, and provides a custom approach allowing clients to choose between end-to-end or modular solutions. Its real-time capabilities ensure milliseconds-range response times, and it's trained on large volumes of data for accurate and reliable results, all while ensuring data privacy by processing within the client's cloud environment.

Accumn, formerly known as Corpository, is an AI-powered platform specializing in Indian company information and financial data. It caters to the entire credit lifecycle, offering tools for evaluation, monitoring, and early warning signals. By harnessing the power of AI, Accumn strives to deliver fair, accurate, and error-free credit decisioning. The platform provides comprehensive insights into Indian businesses, enabling users to make informed financial decisions and manage risk effectively.

deep-anpr is an open-source project designed for automatic number plate recognition (ANPR) using neural networks. This tool is presented as an experimental project, ideal for developers and researchers who wish to explore and tinker with ANPR technology. It requires dependencies such as TensorFlow, OpenCV, and NumPy. Users can extract background images, generate test set images, train the model (GPU recommended), and detect number plates in images. The project is noted as incomplete and not yet suitable for practical, production-level ANPR systems, but offers a solid foundation for those looking to understand and contribute to the development of such systems.

Data-science-ipython-notebooks is an extensive Open Source collection of Python notebooks designed for data science education and practical application. It covers a wide array of topics including deep learning with frameworks like TensorFlow, Theano, Caffe, and Keras, as well as machine learning with scikit-learn. The collection also delves into big data technologies such as Spark, Hadoop MapReduce, and HDFS. Users can find notebooks dedicated to data visualization using matplotlib and pandas, along with essential Python programming concepts, AWS, and various command-line tools. This resource is ideal for students and professionals looking to learn and apply data science techniques through hands-on examples and tutorials.

TensorFlow Data Validation (TFDV) is a powerful open-source library designed for exploring and validating machine learning data. It offers highly scalable capabilities for calculating summary statistics of training and test data, integrating seamlessly with a viewer for data distributions and statistics. TFDV automates data-schema generation to define expectations about data, including required values, ranges, and vocabularies, and provides a schema viewer for inspection. A key feature is its anomaly detection system, which identifies issues like missing features, out-of-range values, or incorrect feature types, complemented by an anomalies viewer to help users correct these issues. TFDV is built to work effectively with TensorFlow and TensorFlow Extended (TFX), making it an essential tool for maintaining data quality in ML pipelines.

Damselfly is a server-based Digital Photograph Management system designed to efficiently manage and search extremely large, folder-based collections of images. It leverages powerful Machine Learning for facial detection, face recognition, and object detection, enabling users to quickly identify and tag subjects across their photo library. The system supports a wide range of image formats, including RAW files, and offers full-text search, advanced filtering options, and a fast keyword tagging workflow with non-destructive EXIF data updates. Damselfly also includes a desktop client for closer integration with local file systems, allowing for easy syncing and editing workflows, and supports multi-user environments with role-based entitlements.

Convoviz is an open-source utility designed to transform your ChatGPT export ZIP files into well-formatted Markdown text documents. This tool is ideal for users looking to archive their conversations, enable local search capabilities, or integrate their chat history with note-taking applications such as Obsidian. Beyond simple text conversion, Convoviz offers data visualization features, including word clouds to highlight frequently used terms and usage graphs to illustrate conversation patterns. It supports inline media attachments, preserves web search citations, and extracts OpenAI "Canvas" documents as standalone files, providing a comprehensive solution for managing and analyzing ChatGPT data.

deep-research-web-ui is an AI-powered research assistant designed for iterative, deep research across various topics. It integrates search engines, web scraping, and large language models to provide comprehensive insights. Key features include real-time AI response streaming, a tree-structure visualization of the research process, and support for multiple languages. The tool ensures safety and security by processing all configurations and API requests locally in the browser. It also allows for exporting final research reports as Markdown or PDF and supports a wide range of AI providers like OpenAI compatible, DeepSeek, and Ollama, as well as web search providers like Tavily and Firecrawl. It can be deployed in a server mode with environment variables or client mode where users configure their own API keys.

D's Machine Learning (dml) is an open-source machine learning toolkit for Python, built upon the robust foundations of NumPy and SciPy. It emphasizes both the correctness of its algorithms and computational efficiency. The toolkit includes a comprehensive set of machine learning implementations, such as Neural Networks, Logistic Regression (softmax), Decision Trees (CART algorithm), and various clustering algorithms including k-means, k-medoids, spectral clustering, and hierarchical clustering. Additionally, it features Adaboost, k-Nearest Neighbor (with kd-tree BBF), Naive Bayesian (supporting continuous and discrete features), Support Vector Machines, simple Convolutional Neural Networks, and Collaborative Filtering algorithms. The project currently supports Python 2, with a note that Python 3 users are not yet supported.

AI Retailer Systems offers a cutting-edge SaaS solution for retailers focused on real-time theft prevention through AI-based video analysis. This system integrates with existing off-the-shelf cameras to monitor stores, providing immediate alerts for potential shrinkage. It automates the tracking of products from shelves to exits, including checkouts, and can detect unscanned items. Beyond security, the platform offers anonymized customer journey tracking and in-store analytics, helping retailers optimize store layouts and product placements. Designed with Swiss technology, it prioritizes unit cost optimization, reliability, and privacy, making it a robust solution for enhancing retail security and operational efficiency.

Music Genre Classifier is an AI-powered tool hosted on Hugging Face Spaces, designed to analyze and classify the genre of music tracks. Users can upload short MP3 files, ideally under 15 seconds, and choose from various pre-trained models. The tool processes the audio by converting it into visual spectrograms, which are then fed into a neural network for analysis. It provides the most likely genre classification, making it useful for music analysis, data labeling, and potentially for building music recommendation systems. This web-based application offers a straightforward interface for quick genre identification.

AyGLOO specializes in applying artificial intelligence to solve real-world business problems, creating tailored solutions that combine automation, language comprehension, and ethical responsibility. Their services include designing and implementing Agentic AI systems for autonomous task automation and information analysis, as well as Prescriptive Decision AI, which evaluates prediction reliability and calculates the expected impact of actions. AyGLOO's approach ensures that AI systems are explainable, traceable, and auditable, providing tangible results for clients across various sectors. They have a proven track record with projects for companies like Bidafarma, Suzuki, and PwC, demonstrating their ability to transform businesses through AI.

GFNet is an innovative AI tool that introduces Global Filter Networks for image classification, detailed in NeurIPS 2021 and T-PAMI. This transformer-style architecture efficiently learns long-term spatial dependencies by operating in the frequency domain, leveraging a 2D discrete Fourier transform, element-wise multiplication with learnable global filters, and a 2D inverse Fourier transform. It replaces traditional self-attention layers, offering a conceptually simple yet computationally efficient solution, especially for high-resolution feature maps. The PyTorch implementation is open-source, built upon pytorch-image-models and DeiT, and includes pre-trained models on ImageNet, along with scripts for evaluation, training, and transfer learning.

Tika Data specializes in providing data annotation services, crucial for fueling the AI age. The company is dedicated to innovation within the data annotation field, aiming to meet the increasing demands of AI applications. Tika Data supports the development of robust AI models by offering high-quality data labeling and preparation services. Their focus is on ensuring that AI systems have access to accurately labeled and well-prepared datasets, which are fundamental for effective machine learning and AI model training. This commitment to quality data annotation helps businesses and developers build more reliable and efficient AI solutions.

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.

Atlas Software Technologies offers comprehensive AI consulting and software development services, focusing on business intelligence, data science, and machine learning. They assist organizations in implementing cutting-edge AI technologies to enhance products and capabilities. Their services include auditing, validating, and deeply understanding available data, as well as integrating custom software components. Atlas emphasizes delivering business value beyond mere offshore advantages, lowered costs, and faster turnaround times. They have a proven understanding of widely-used BI tools and offer solutions for both large enterprises and small businesses globally, covering areas from deployment to data auditing and AI integration.

ARGEDOR Information Technologies is a company dedicated to helping businesses harness the full potential of blockchain technology. They provide advanced solutions across various industries, specializing in Web3, Metaverse, and Artificial Intelligence. Their blockchain services include the creation of NFTs, NFT marketplaces, DeFi/GameFi applications, DAOs, and dApps. For the Metaverse, ARGEDOR offers a cutting-edge Web3 engine for building, managing, and monetizing virtual worlds. Additionally, they develop AI-based solutions to address contemporary business challenges, leveraging expertise in ML/DL/AI and data analytics. ARGEDOR supports clients from ideation to execution, serving startups to large enterprises.