Data & Analytics

CODIT is a comprehensive policy monitoring platform designed to help businesses proactively manage regulatory risks. It provides real-time updates on legislative trends, legal information, parliamentary speeches, and press releases, all customized to fit specific corporate needs. By transforming fragmented regulatory and policy data into actionable insights, CODIT enables companies to stay ahead of compliance changes and make informed strategic decisions. The platform specializes in monitoring regulatory landscapes, particularly in Korea, ensuring businesses have access to critical information to navigate complex legal environments effectively.

Safari AI is a Physical AI company that delivers Vision AI, Crowd Intelligence, and Spatial Intelligence to transform physical operations. It utilizes existing camera infrastructure to provide real-time movement analytics across various sectors including retail, stadiums, and theme parks. The platform measures key metrics like pedestrian counts, queue wait times, occupancy, throughput, and staff engagement with over 95% accuracy. Safari AI's Agentic AI layer goes beyond reporting by generating recommendations, triggering real-time alerts when thresholds are exceeded, and dynamically routing teams based on live crowd conditions, all grounded in your standard operating procedures. It integrates with existing systems and offers end-to-end encryption for data security.

Tendertec offers human-centric AI care solutions, primarily through its Hestia system, designed for older adults and individuals with learning disabilities. This privacy-first technology utilizes thermal sensors to detect heat patterns, providing insights into movement, activity, and potential risks like falls or agitation, without the need for cameras, microphones, or wearables. Hestia helps care teams, families, and housing services gain earlier insights into wellbeing changes, enabling proactive support and reducing the need for constant physical checks. The system is mains-powered, self-installable, and offers a subscription-based model, ensuring continuous monitoring and adaptability to changing care needs. It filters out pets and provides detailed data for care planning and reassessment, aiming to enhance safety, independence, and peace of mind.

Serviceware ITFM Software provides a comprehensive platform for IT Financial Management, enabling organizations to run IT like a business. It unifies planning, costing, billing, and benchmarking, integrating with existing ERP, ITSM, BI tools, and Cloud Services. The software helps address challenges like fragmented systems, low visibility into service costs, reactive budgeting, and manual billing processes. Key capabilities include cost transparency and optimization, automated charging and billing, data-driven planning and forecasting, IT cost benchmarking, and vendor and contract management. It's designed to help CIOs and CFOs gain the visibility needed to strategically steer IT investments.

shapiq is a Python package designed for machine learning explainability, specifically focusing on Shapley Interactions and Shapley Values. It provides tools for approximating any-order Shapley interactions, benchmarking game-theoretical algorithms, and explaining feature interactions within model predictions. The library extends the functionality of the well-known SHAP package, offering a more comprehensive view of machine learning models by quantifying synergy effects between features, data points, or weak learners. It supports various interaction indices like k-SII, SV, FBII, and FSII, and includes functionalities for visualizing feature interactions through network plots. shapiq is intended for Python 3.12 and above, and can be installed via uv or pip.

cnn-facial-landmark offers training code for facial landmark detection based on deep convolutional neural networks. This open-source project, built with TensorFlow, enables users to train their own models using custom datasets. The repository includes detailed instructions for getting started, installing prerequisites, and training/evaluating models. It supports exporting models for PC/Cloud applications using TensorFlow's SavedModel format. A companion tutorial is available, covering background, dataset preprocessing, model architecture, training, and deployment, making it accessible for beginners. The project also points to more advanced repositories for features like multiple public dataset support, advanced model architectures, data augmentation, and model optimization.

ddpm-segmentation is an official implementation of the paper "Label-Efficient Semantic Segmentation with Diffusion Models" (ICLR'2022). This open-source project investigates representations learned by state-of-the-art Denoising Diffusion Probabilistic Models (DDPMs) and demonstrates their value for downstream vision tasks. The tool offers a simple semantic segmentation approach that leverages these representations, showing superior performance in few-shot operating points compared to other methods. It includes implementations for DDPM, DatasetDDPM, MAE, SwAV, and DatasetGAN, along with pretrained models and scripts for training interpreters and generating synthetic datasets. The project is built upon datasetGAN and guided-diffusion techniques, providing a robust framework for research and application in semantic segmentation.

Datumaro is a comprehensive dataset management framework designed for computer vision tasks. It offers both a Python library and a command-line interface (CLI) tool, enabling users to efficiently build, analyze, and manage their datasets. Key functionalities include reading, writing, and converting datasets between numerous popular formats such as COCO, PASCAL VOC, YOLO, and ImageNet. The framework also facilitates advanced dataset manipulation, including filtering by custom criteria, splitting datasets into train/validation/test subsets, and performing annotation conversions. Furthermore, Datumaro provides tools for dataset quality checking, comparison with model inference, and generating detailed statistics, making it an invaluable resource for data scientists and machine learning engineers working with computer vision data.

Countly is a privacy-first, AI-powered analytics and customer engagement platform designed for organizations requiring full data ownership and deployment flexibility. Unlike traditional SaaS-only analytics tools, Countly can be deployed on-premises or in a private cloud, providing complete control over data, infrastructure, compliance, and security. Teams leverage Countly to understand user behavior across various devices, optimize product and customer experiences in real-time, and automate personalized customer engagement. With flexible data tracking, customizable dashboards, and a modular plugin-based architecture, Countly scales with product needs while ensuring long-term autonomy and zero vendor lock-in. It includes features like session, view, and event collection, crash reporting, push notifications, remote configuration, and in-app ratings.

Joint NER And Relation Extraction is an AI tool designed for advanced natural language processing tasks. It specializes in named entity recognition (NER) and relation extraction, allowing users to identify and categorize entities within text and determine the relationships between them. This capability is crucial for structuring unstructured text data, making it valuable for various analytical and data-driven applications. The tool is hosted on Hugging Face Spaces, providing an accessible platform for users to experiment with its functionalities. While the live website currently indicates a runtime error, its core purpose is to offer robust text analysis for researchers, developers, and data scientists working with complex textual information.

Uniqum.io is a smart crypto platform designed to detect and monetize market inefficiencies in the crypto space. It provides real-time arbitrage and funding delta analysis with ultra-low latency (30–100 ms). The platform offers orderbook-depth analytics, deposit/withdrawal control, and Telegram alerts for custom strategies. It covers both Centralized Exchanges (CEX) and Decentralized Exchanges (DEX), allowing users to identify liquidity gaps and execute trading strategies efficiently. Key features include a smart orderbook AI researcher, D/W tracker, funding monitor, and history aggregator, all accessible through a clean UI built by traders for traders. A 3-day free trial is available.

Keyphrase Extraction is an AI tool designed to help users identify and understand the most important phrases within a body of text. By entering text and selecting a model, the tool can either extract existing keyphrases or generate new ones. It visually highlights significant phrases directly in the text, making it easy to grasp the main topics and themes. Additionally, it can identify and display keyphrases that are relevant but not present in the original text, offering a more comprehensive analysis. This tool is useful for content summarization, topic extraction, and research purposes, providing a quick way to gain insights from textual data.

Doubleword AI, formerly TitanML, specializes in delivering optimized high-performance inference solutions for various AI use cases. Their core offerings include the Doubleword API for scalable inference, and the Doubleword Inference Stack for high-performance inference. The platform supports batch inference for large-scale jobs at reduced costs, a control layer for managing models and deployments across teams and clouds with built-in governance, and private infrastructure options for sensitive use cases, allowing deployment in private clouds, on-premise, or hybrid environments. Doubleword AI aims to help businesses deliver value by providing a robust inference layer, reducing the burden of managing complex AI infrastructure.

VECTOR Labs provides comprehensive AI consulting and development services, focusing on delivering measurable business outcomes. They offer expertise in AI advisory and innovation, next-gen AI solutions, AI customer experience, and internal & business efficiency. The company works with clients to assess their AI maturity and implement tailored AI services, including custom AI development. VECTOR Labs serves a diverse range of industries such as Healthcare, Pharma, Banking and Fintech, Manufacturing, Media and Publishing, and Education, providing specialized analytics models and solutions. Their approach emphasizes turning data into practical, working AI solutions quickly, helping businesses innovate and achieve their strategic goals.

Abe.work is a data-driven talent matching platform designed to help companies hire smarter and professionals find jobs they love. It connects hiring teams with candidates through blind matching, verified career data, and JobFit IQ insights, ensuring hiring decisions are based on authentic experience and true workplace fit. The platform allows companies to create a hiring profile, define role dynamics with CandidateFit IQ, and receive curated matches aligned on skills, workplace fit, and leadership style. For professionals, Abe provides AI-driven career guidance and job-matching based on verified accomplishments and workplace insights, helping them take greater control of their careers. It also assists veterans in translating their military experience into the civilian workforce.

Fiddi AI serves as an AI consultant, offering intelligent guidance to help businesses navigate and solve complex problems. The platform focuses on digital transformation, providing insights and analytical support. While specific features are not detailed, the core offering revolves around leveraging AI to deliver strategic advice and facilitate problem-solving within an organizational context. This tool is designed for businesses seeking to enhance their decision-making processes and implement effective change management strategies through advanced AI capabilities.

Envistudios is a technology partner that assists small and mid-size companies in building and scaling digital products without increasing overhead. They specialize in web and mobile app development, offering end-to-end product builds from idea to launch using modern, scalable technology. Beyond development, Envistudios provides staff augmentation, allowing businesses to extend their teams with on-demand developers, designers, and product talent. Their service offerings also include practical AI and automation solutions to improve efficiency, cloud and DevOps for stable infrastructure, and outcome-driven digital marketing strategies covering LLM-SEO, ad campaigns, social media, and content creation. They focus on user-centered product design (UX/UI) to enhance usability, retention, and conversion.

Apache Hamilton is a lightweight Python library designed for creating directed acyclic graphs (DAGs) of data transformations. It enables data scientists and engineers to define testable, modular, and self-documenting dataflows that encode lineage, tracing, and metadata. The library is highly portable, running anywhere Python does, including scripts, notebooks, Airflow pipelines, and FastAPI servers. Hamilton emphasizes separation of concerns, allowing data scientists to focus on problem-solving while engineers manage production pipelines. It supports data and schema validation, built-in coding styles, and a plugin-based architecture for custom integrations. The Apache Hamilton UI provides automatic visualization, cataloging, and monitoring of execution, including data cataloging, dataset profiling, and execution tracking.

Graph-Learn, formerly AliGraph, is a robust and distributed framework designed for the development and application of large-scale graph neural networks (GNNs). Developed by Alibaba, it has been successfully deployed in various industrial scenarios such as search recommendation, network security, and knowledge graphs. The framework offers a comprehensive solution encompassing both GNN training and online inference services. Its training component supports sampling on batch graphs and incremental GNN model training, compatible with TensorFlow and PyTorch. The online inference service, Dynamic-Graph-Service, ensures real-time sampling on dynamic graphs with streaming updates, boasting P99 latency within 20ms for large-scale graphs. It provides Python, C++, and Java interfaces for flexible integration.

Shares Bazaar is a SEBI Registered Stock Market Research Analyst Firm (INH200010001) based in India, offering comprehensive stock market research and technical analysis. The platform provides in-house Algo Trading Software and AI backtesting tools, enabling users to backtest trading strategies for options, futures, and equity. With over 12 years of expertise, Shares Bazaar aims to deliver data-driven insights and advanced market analysis tools for traders. It caters to both retail traders and professional investors, focusing on providing reliable research and automated trading solutions to enhance decision-making in the Indian stock market.

CalmWave is an AI-powered platform designed to transform hospital operations by addressing alarm fatigue and improving patient safety. It fuses alarms, vital signs, and EHR data into real-time intelligence, providing system-wide visibility and control. The platform normalizes, standardizes, and enriches data from various vendors, offering explainable recommendations to enhance safety, decision-making, and ROI. CalmWave aims to reduce non-actionable alarms, reclaim nursing time for direct patient care, and uncover hidden patterns for earlier intervention. It integrates seamlessly with existing hospital middleware, monitoring platforms, and EHRs, ensuring interoperability without disrupting workflows. The tool is SOC 2 Type II and HIPAA compliant, offering enterprise-grade security and governance.

The LabelMeAnnotationTool provides the source code for an online image annotation tool written in JavaScript. It allows users to label images collaboratively from any location, eliminating the need to install software or copy large datasets. This tool is particularly useful for creating image datasets for computer vision applications. Key features include support for various annotation modes, customizable URL variables for specific labeling tasks, and the ability to manage image collections. It requires an Apache server with specific configurations for server-side includes and Perl/CGI scripts to function correctly, making it suitable for users with web server management experience.

aignosi Brasil provides SIENTIA™, an innovative Industrial AIOps platform that enables companies to rapidly deploy and scale AI models in Operational Technology (OT) environments. The platform focuses on transforming data (DataOps) and model (MLOps) operations, helping businesses move AI proofs of concept (PoCs) into full production 10x faster. SIENTIA™ is already utilized by enterprise clients across various heavy-asset industries, handling millions of inferences per month with low latency. Beyond the platform, aignosi offers complementary services including AI Maturity Assessments, Analytical Transformation, and Analytical Core support to help clients create tailored AI solutions and optimize operational efficiency.

MMSA is a comprehensive, open-source framework designed for Multimodal Sentiment Analysis (MSA). It allows users to train, test, and compare various MSA models within a single, unified environment. The framework supports 15 different MSA models, including recent advancements, and integrates with three key MSA datasets: MOSI, MOSEI, and CH-SIMS. MMSA is highly accessible, providing both Python APIs for programmatic integration and command-line tools for quick experimentation and deployment. Users can also experiment with fully customized multimodal features using the MMSA-FET toolkit. The project is packaged for easy installation via PyPI, making it straightforward to get started with sentiment analysis tasks.