Glean is an AI-powered platform designed to enhance productivity by eliminating busywork. It utilizes state-of-the-art search and retrieval-augmented generation (RAG) technology to analyze, extract, and synthesize information from multiple data sources within an enterprise. This tool aims to centralize knowledge discovery and streamline workflows, empowering employees to focus on more critical tasks. With Glean, users can build custom AI agents, assistants, and chatbots without any coding, allowing for a highly personalized and efficient workspace.

Google Gemma is a collection of lightweight, cutting-edge AI models developed to cater to a broad spectrum of applications. These open models are engineered with the latest technology to ensure optimal performance and efficiency. Designed for developers, researchers, and businesses, Gemma models can be easily integrated into applications to enhance functionality in areas such as text generation, summarization, and sentiment analysis. With flexible deployment options available on platforms like Vertex AI and GKE, Gemma ensures a seamless experience for users seeking robust AI solutions.

GoSearch is an innovative enterprise search platform powered by generative AI. It unifies all your workplace applications into one search bar, enabling instant access to information across multiple data sources. With features like intelligent resource recommendations, AI-driven summaries, and seamless document previews, GoSearch enhances workplace productivity and supports informed decision-making.

Hello24.ai is a powerful WhatsApp marketing and sales automation platform designed to help businesses engage with their customers seamlessly. Leveraging proprietary AI technology, it offers pre-built e-commerce conversational flows, enabling easy two-click payments and pre-integrated payment gateways. The platform supports D2C and B2C e-commerce brands, ensuring a smooth shopping experience and higher conversion rates.

Innic Data is a comprehensive database management tool that combines AI capabilities with user-friendly features for effective data management. It supports various databases, allowing seamless integration and operation, whether it's MySQL, PostgreSQL, or SQLite. Users can directly modify tables, generate test data, and easily import/export raw data. With regular updates and new SQL database introductions, Innic remains at the forefront of database technology, focusing on usability and performance.

Inquir is the ultimate tool for creating personalized search engines tailored to your data. With Inquir, you can build custom search solutions, integrate various data sources, and create advanced AI-driven retrieval systems. It provides tools like AI-powered RAG chatbots, enterprise search solutions, and research and analytics platforms. Inquir helps you transform user experiences with context-aware search functionalities. It's ideal for enhancing product discovery in e-commerce, boosting research workflows, and improving enterprise search capabilities.

Invent.ai offers an AI-Decisioning Platform that combines retail data and data science to predict outcomes and dynamically recommend actions for inventory, pricing, merchandising, and more. Trusted by brands like Alo, Academy Sports + Outdoors, Five Below, and Mavi, its agentic AI architecture monitors and recommends better actions to drive guaranteed company growth and EBIT within three months, supported by a team of 200+ experts. It leverages all available data sources for comprehensive decision-making.

iPick.ai leverages advanced artificial intelligence to provide comprehensive research and insights on over 6,000 stocks and ETFs. By aggregating data from multiple sources, the platform offers independent and balanced stock research, fundamental analysis tools, and reliable market data. With iPick.ai, investors can make informed decisions, identify promising investment opportunities, and optimize their portfolios. Trusted by over 1000 users, iPick.ai is a valuable resource for retail investors, financial analysts, and anyone looking to enhance their investment strategy.

Izzy AI provides a smart, AI-powered solution for enhancing financial forecasting. By leveraging cutting-edge technology, it helps businesses to predict future financial outcomes more accurately and efficiently. The platform is designed to automate complex forecasting processes, thus saving time and reducing the risks of human errors. Its user-friendly interface allows for easy integration with existing financial data systems, ensuring seamless operations and enhanced productivity.

JASA provides a comprehensive set of Java libraries for building and running multi-agent system simulations. It supports agent lifecycle management, event scheduling, asynchronous message passing, and environment modeling. Developers can extend core classes to implement custom behaviors, integrate external data sources, and visualize simulation outcomes. The framework’s modular design and clear API documentation facilitate rapid prototyping and scalability, making it suitable for academic research, teaching, and proof-of-concept development in agent-based modeling.

Karabo AI specializes in creating personalized AI chatbots for businesses, aiming to improve customer engagement and streamline operations. The platform allows users to build chatbots that can integrate with various data sources, such as PDFs and web links, to curate a comprehensive knowledge base. These chatbots are designed to assist clients with general inquiries, offer 24/7 support, and enhance user experience by providing accurate and timely information.

KBAnywhere integrates directly with several knowledge management systems, allowing users to pull relevant data without switching tabs or applications. This Chrome extension serves as a powerful tool for support agents, researchers, and customer service representatives, providing real-time access to essential information and enhancing overall productivity.

Klavis.ai is an enterprise-grade AI observability agent that unifies logs, metrics, traces, and events into a single AI-driven layer. It supports connectors for Prometheus, Elastic, Grafana, AWS CloudWatch and more. Teams can ask natural-language questions about system health, receive instant anomaly alerts, and get guided remediation steps. Its AI models correlate data across services to pinpoint failures, reduce alert noise, and proactively surface performance issues before they impact users.

Knostic leverages artificial intelligence to streamline the process of data extraction and analysis. It provides users with the capability to gather relevant insights from multiple data sources, enabling informed decision-making. The platform is built to adapt to various business needs, enhancing productivity and fostering a data-driven environment through advanced analytical capabilities.

Bosun.ai is a no-code AI agent platform that transforms organizational knowledge into a searchable AI assistant. Businesses upload documents, CSVs, code repositories, and RSS feeds; Bosun automatically extracts entities, relationships, and concepts to build a semantic knowledge graph. By connecting to GPT-4 or proprietary LLMs, it provides precise, context-aware answers and can be deployed across web widgets, Slack, Microsoft Teams, and mobile apps. Administrators can configure access controls, review analytics on query trends, and refine data sources through an intuitive dashboard. Bosun’s auto-updating knowledge base ensures real-time accuracy, while its robust security, encryption, and audit logging meet enterprise compliance standards.

LangGraph Studio is the first Integrated Development Environment (IDE) designed for creating AI agents using the LangChain framework. It enables developers to visually design workflows, manage data connections, and integrate multiple processing components. Users can leverage powerful debugging tools, version control, and real-time collaboration features, making it easier to develop complex AI applications efficiently. This IDE is aimed at simplifying the development process, allowing both novices and experienced developers to build robust AI agents.

LavaMetrics is a comprehensive B2B marketing metrics platform that integrates various data sources to provide a unified view of marketing performance. It aims to simplify data management and enhance decision-making processes by offering actionable insights. With its robust features, LavaMetrics helps marketers to eliminate the reliance on spreadsheets, focusing on revenue-driven metrics. The platform supports integrations like HubSpot, enabling seamless data consolidation and insightful reporting for better marketing ROI.

LeadGenius specializes in delivering high-quality, personalized B2B data solutions to help businesses optimize their marketing strategies. The platform uses advanced machine learning techniques and a comprehensive database gathered from over 440 billion web resources, ensuring that users access the most relevant and accurate data for their needs. It focuses on providing specific insights that drive revenue growth, streamline outbound marketing efforts, and improve lead conversion rates.

LlamaIndex is a developer-focused Python library designed to bridge the gap between large language models and private or domain-specific data. It offers multiple index types—such as vector, tree, and keyword indices—along with adapters for databases, file systems, and web APIs. The framework includes tools for slicing documents into nodes, embedding those nodes via popular embedding models, and performing smart retrieval to supply context to an LLM. With built-in caching, query schemas, and node management, LlamaIndex streamlines building retrieval-augmented generation, enabling highly accurate, context-rich responses in applications like chatbots, QA services, and analytics pipelines.

In practice, LlamaSim allows you to define multiple AI-powered agents using the Llama model, set up interaction scenarios, and run controlled simulations. You can customize agent personalities, decision-making logic, and communication channels using simple Python APIs. The framework automatically handles prompt construction, response parsing, and conversation state tracking. It logs all interactions and provides built-in evaluation metrics such as response coherence, task completion rate, and latency. With its plugin architecture, you can integrate external data sources, add custom evaluation functions, or extend agent capabilities. LlamaSim’s lightweight core makes it suitable for local development, CI pipelines, or cloud deployments, enabling replicable research and prototype validation.