AddSearch
AddSearch transforms the way organizations connect users with information. More than just a traditional site search, AddSearch now offers AI Answers and AI Conversations, enabling businesses to deliver direct, conversational, and context-aware responses to user queries. These advanced capabilities complement AddSearch’s proven site search and content recommendation solutions, helping organizations create effortless, engaging, and personalized digital experiences.
With AddSearch, you can choose between AI-driven answers, conversational interfaces, or lightning-fast search results—all fully customizable for websites, e-commerce platforms, or web applications. Our Crawler and Indexing API ensure your content is always up-to-date, while our expert implementation services save valuable developer time and maximize results.
Today, nearly 2,000 customers worldwide—across Media, Telecommunications, Government, Education, E-commerce, and more—trust AddSearch to provide best-in-class search and AI-driven discovery.
AddSearch product portfolio includes:
- AI Answers – instant, accurate, and direct responses powered by generative AI.
- AI Conversations – natural, chat-like interactions for deeper user engagement.
- Autocomplete & Smart Ranking – predictive suggestions and optimized result ordering.
- Personalized Search – tailored experiences based on behavior and preferences.
- Content & Product Recommendations – boost engagement and conversions.
- Advanced Analytics – insights into user behavior
- Flexible Content Controls – include/exclude content, synonyms, filters, and facets, promote
- Enterprise Features – SSO, organizational user management, audit logs, SLA up to 99.999%.
- Seamless Implementation – works with any CMS, via crawler or API
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DataHub
DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.
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BenevolentAI
BenevolentAI is a pioneering platform that leverages artificial intelligence and scientific technology to enhance drug discovery processes, specifically targeting complex diseases by efficiently processing and interpreting extensive biomedical data to yield actionable insights more swiftly than conventional approaches. By utilizing its unique Benevolent Platform, the company seamlessly integrates both structured and unstructured biomedical information—spanning literature, genomics, clinical data, and multi-omics—into a detailed knowledge graph. This robust framework empowers researchers to analyze biological systems, formulate testable hypotheses, identify new drug targets, and create potential drug candidates with increased confidence and reduced failure rates, ultimately transforming the landscape of medicine development. With its innovative approach, BenevolentAI stands at the forefront of a new era in the pharmaceutical industry.
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Iris.ai
At Iris.ai we have spent the last 6 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that, our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system.
The Iris.ai Researcher Workspace is a flexible tool suite that allows to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.
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