List of the Top AI Research Tools in 2026 - Page 5

The AI Assistant functions as a virtual helper that utilizes advanced artificial intelligence to offer customized support, streamline tasks, and enhance efficiency for both individuals and organizations. Users can enhance the AI Assistant's capabilities by providing articles, documents, and insights regarding their objectives, enabling it to generate even more tailored recommendations based on the depth of information shared. Employing sophisticated machine learning and natural language processing techniques, this assistant comprehends inquiries, retrieves pertinent information from the web, and delivers personalized assistance by adapting to users' preferences over time. It supports interactions in multiple languages from the moment of its release, allowing users to communicate their queries in their preferred language, which the AI Assistant will accurately interpret and respond to. All information submitted is encrypted and utilized solely to enhance response efficiency, and we assure that personal data will never be disclosed or accessed without explicit user consent. Furthermore, the commitment to user privacy remains at the forefront of the AI Assistant's operation.

Restructured is a cutting-edge platform that harnesses the power of artificial intelligence to help businesses extract valuable insights from large volumes of unstructured data. It adeptly manages diverse formats such as documents, images, audio, and video by combining advanced language model functionalities with refined search and retrieval methods, enabling it to index and understand information in context. Through the transformation of substantial datasets into actionable insights, Restructured facilitates easier navigation and analysis of complex data, ultimately optimizing decision-making processes. Consequently, organizations are better equipped to react promptly and accurately to new trends and challenges, thereby gaining a competitive edge in their respective markets. This innovative approach not only streamlines operations but also empowers companies to make informed choices that drive growth and efficiency.

Superagent is a next-generation AI research platform built to help professionals think deeper and act with conviction. It translates ambitious, high-level business questions into structured research plans powered by a coordinated superteam of AI agents. These agents systematically explore credible data sources, industry analyses, financial reports, and emerging trends to surface meaningful insights. Rather than providing generic summaries, Superagent produces thorough, multi-layered analyses designed for real strategic decision-making. The outputs are delivered in polished, boardroom-ready formats such as comprehensive reports, executive slide decks, structured documents, and interactive web presentations. Each conclusion is supported by fact-checked references, giving users transparency and confidence when addressing investors, customers, or leadership teams. The platform supports a wide range of use cases, including competitive differentiation studies, cybersecurity briefings, AI cloud rankings, biotech opportunity mapping, and long-term investment risk analysis. Superagent is built for founders, operators, and strategic leaders who need reliable intelligence without spending weeks on manual research. Its scalable architecture allows hundreds of research runs per month, making it suitable for both rapid experimentation and deep investigative projects. The user experience is designed to fit seamlessly into existing workflows, whether preparing a pitch, drafting a roadmap, or evaluating market expansion. With a flexible Pro subscription model and a free trial, teams can access unlimited report reads and extended research capacity. By combining autonomous research agents with expressive, executive-grade outputs, Superagent empowers organizations to decide faster and execute smarter in an increasingly complex business landscape.

Valona Intelligence stands out as a top-tier provider of market and competitive intelligence solutions, leveraging a blend of generative AI and expert analysis to deliver vital insights for large corporations and manufacturers. With over two decades of experience, Valona boasts a comprehensive database filled with unique, industry-oriented data sources, ensuring they are well-equipped to monitor the global business landscape around the clock. Their innovative platform features AI-driven tools, such as the AI Research Assistant, which transforms pertinent insights into concise executive summaries that facilitate informed decision-making. Additionally, the platform includes trend radars, enabling users to visualize and map out various alternative scenarios. Tailored specifically for C-suite executives and key stakeholders, Valona dashboards provide daily, customized insights that are both actionable and relevant. Supporting over 100 languages, the platform ensures that English summaries are available for global insights, making it accessible to a wider audience. Moreover, Valona's system integrates effortlessly with existing infrastructures through a variety of connectors, enhancing overall functionality and user experience. This commitment to innovation and adaptability positions Valona Intelligence as an indispensable ally in navigating today's complex business environment.

StratosIQ is a cutting-edge platform powered by artificial intelligence that enables businesses to gain valuable market intelligence by swiftly analyzing trends, monitoring competitors, and generating actionable insights. Utilizing custom-trained models, it efficiently processes vast amounts of data and offers real-time analytics. The platform empowers users to automate key functions such as market research, competitor assessments, trend prediction, and sentiment analysis. Additionally, StratosIQ features collaborative tools alongside a SWOT analysis generator, facilitating smoother decision-making among teams. By aggregating data from diverse sources, it converts this information into user-friendly visual reports, enhancing accessibility to insights. Furthermore, StratosIQ's automation capabilities and intuitive interface significantly minimize the need for manual research, thereby streamlining the analysis process. As a result, businesses can make quicker and more informed decisions, ultimately improving their competitive edge in the market. This innovative approach not only saves time but also fosters a culture of data-driven decision-making within organizations.

Laser AI is an innovative platform that harnesses the power of artificial intelligence to optimize the systematic review process for researchers, allowing for quicker identification, assessment, and integration of evidence. By boosting the efficiency of reviewers, it significantly reduces the heavy workload that is often encountered in academic research. This tool employs a variety of AI techniques, including natural language processing and machine learning, to automate numerous tasks that are traditionally part of systematic reviews. As a result, researchers can save precious time and energy, which ultimately improves the quality of their reviews. The platform boasts features such as AI-powered data extraction, support for living reviews, and strong quality assurance processes to maintain review precision. Following stringent methodologies endorsed by leading academic and governmental bodies, Laser AI aids institutions in organizing and reusing data effectively through controlled vocabularies and an advanced data-cleaning module. Additionally, it offers extensive support for living systematic reviews throughout their lifecycle, incorporating sophisticated security measures to protect sensitive information. By redefining research methodologies, Laser AI aims to revolutionize the way reviews are performed across diverse fields, promising to enhance both the accuracy and efficiency of the research process. With its commitment to continuous improvement and innovative solutions, Laser AI stands at the forefront of research tools that can adapt to the evolving needs of scholars.

Listen is an AI-first research platform that automates the customer interview process, providing companies with fast, actionable insights. The platform conducts AI-powered interviews with personalized probing, generating real-time qualitative and quantitative data across various industries. Whether you need to test product concepts, measure brand perception, or evaluate creative content, Listen’s AI ensures that you get comprehensive feedback in hours, not days. With a pool of millions of participants and the ability to work in multiple languages, Listen Labs streamlines customer research while delivering deeper, more authentic insights from both video and text interactions.

FutureHouse is a nonprofit research entity focused on leveraging artificial intelligence to propel advancements in scientific exploration, particularly in biology and other complex fields. This pioneering laboratory features sophisticated AI agents designed to assist researchers by streamlining various stages of the research workflow. Notably, FutureHouse is adept at extracting and synthesizing information from scientific literature, achieving outstanding results in evaluations such as the RAG-QA Arena's science benchmark. Through its innovative agent-based approach, it promotes continuous refinement of queries, re-ranking of language models, contextual summarization, and in-depth exploration of document citations to enhance the accuracy of information retrieval. Additionally, FutureHouse offers a comprehensive framework for training language agents to tackle challenging scientific problems, enabling these agents to perform tasks that include protein engineering, literature summarization, and molecular cloning. To further substantiate its effectiveness, the organization has introduced the LAB-Bench benchmark, which assesses language models on a variety of biology-related tasks, such as information extraction and database retrieval, thereby enriching the scientific community. By fostering collaboration between scientists and AI experts, FutureHouse not only amplifies research potential but also drives the evolution of knowledge in the scientific arena. This commitment to interdisciplinary partnership is key to overcoming the challenges faced in modern scientific inquiry.

Zochi distinguishes itself as the pioneering autonomous AI system that can navigate the complete scientific research process, from hypothesis generation to obtaining peer-reviewed publication, while producing innovative results. Unlike earlier systems that were limited to narrow, predefined tasks, Zochi excels in tackling research issues at the forefront of artificial intelligence. Its efficacy is underscored by a series of peer-reviewed publications accepted at the ICLR 2025 workshops, showcasing Zochi's ability to deliver creative and rigorously validated contributions to the field. Additionally, Zochi identified a critical challenge within AI: the phenomenon of cross-skill interference during parameter-efficient fine-tuning, where adapting models for multiple tasks may enhance one capability at the cost of others. To address this issue, Zochi proposed an innovative strategy known as CS-ReFT (Compositional Subspace Representation Fine-tuning), which focuses on modifying representations rather than changing weights. This transformative method could significantly alter the landscape of how AI systems are fine-tuned for various applications, promising to enhance their versatility and performance in real-world scenarios. The implications of Zochi's advancements may extend far beyond academia, influencing practical implementations across numerous sectors.

Wave is a sophisticated AI agent designed to handle complex tasks with a comprehension and reasoning ability reminiscent of human intelligence. The primary objective is to enhance your workflow and increase overall productivity. Equipped with state-of-the-art language models and customized tools, Wave excels in performing research, creating content, and assisting with a wide range of activities. This powerful modular AI agent system effectively brings your tasks to completion with outstanding efficiency. Users have indicated that leveraging Wave's autonomous research capabilities can reduce their research time by an impressive 87%. With a vast array of over 30 specialized AI agents collaborating to tackle difficult problems, Wave provides solutions and actionable insights significantly faster than traditional research methods, often up to five times quicker. The specialized modules within Wave work seamlessly together to manage intricate tasks that would typically be daunting for a single model. Additionally, Wave remembers your preferences and previous interactions, ensuring a personalized experience that evolves and improves over time, making it an essential asset for boosting productivity. As you continue to interact with Wave, you will uncover even deeper efficiencies and insights that can revolutionize your working methods, leading to an enhanced overall experience. Ultimately, Wave not only simplifies tasks but also empowers users to achieve their goals more effectively than ever before.

Naptha is a versatile platform tailored for autonomous agents, enabling developers and researchers to create, implement, and enhance cooperative multi-agent systems within an interconnected agentic web. One of its standout aspects is Agent Diversity, which optimizes performance by coordinating a mix of models, tools, and architectures, thus driving ongoing advancement; Horizontal Scaling, which supports networks of millions of cooperative AI agents; Self-Evolved AI, where agents autonomously enhance their capabilities beyond traditional human design; and AI Agent Economies, allowing autonomous agents to generate valuable products and services. The platform seamlessly integrates with popular frameworks and infrastructures like LangChain, AgentOps, CrewAI, IPFS, and NVIDIA stacks, all facilitated by a Python SDK that offers cutting-edge improvements to established agent frameworks. Furthermore, developers can extend or share reusable components via the Naptha Hub and deploy comprehensive agent stacks in any container-compatible environment through Naptha Nodes, which empowers innovation and collaboration at a remarkable pace. Ultimately, Naptha not only simplifies the development process but also cultivates a vibrant ecosystem for AI collaboration, innovation, and mutual growth, paving the way for future advancements in the field.

Gemini 2.5 Deep Think showcases advanced reasoning abilities within the Gemini 2.5 framework, utilizing cutting-edge reinforcement learning techniques and extensive parallel reasoning to tackle complex, multifaceted problems across various fields such as mathematics, programming, scientific research, and strategic planning. By exploring and evaluating multiple reasoning pathways before arriving at a conclusion, it produces responses that are not only intricate and inventive but also highly accurate, supporting extensive interactions and incorporating tools like code execution and web searches. Its performance has consistently achieved exceptional results on rigorous benchmarks, including LiveCodeBench V6 and Humanity’s Last Exam, indicating substantial progress compared to previous versions in challenging domains. Additionally, internal evaluations have indicated improvements in both content safety and maintaining an objective tone; however, there has been a noticeable rise in the model's tendency to deny innocuous requests. In response to this, Google is actively pursuing frontier safety assessments and enacting strategies to reduce associated risks as the model advances. This proactive approach to safety highlights the critical need for responsible development in the realm of artificial intelligence. As the technology evolves, ongoing refinements will likely enhance its capabilities and ensure that it remains aligned with ethical standards and user expectations.

Sciscoper is an innovative AI-powered research assistant crafted to streamline and accelerate the literature review process for professionals in STEM disciplines, such as researchers, academics, and R&D teams. Researchers often grapple with the overwhelming task of managing vast arrays of scientific papers from diverse sources, making it challenging to extract meaningful insights efficiently. To tackle this problem, Sciscoper employs advanced AI and natural language processing technologies to automatically: - Provide concise summaries of scientific articles and research findings. - Uncover essential insights, concepts, and connections within various documents. - Generate comprehensive literature reviews complete with citations formatted in multiple styles. - Arrange and classify papers into a structured, searchable knowledge repository for easy access. As a result, users can significantly reduce the amount of time dedicated to monotonous reading and note-taking, allowing them to focus more on analyzing results, identifying gaps for future research, and enhancing the body of scientific knowledge. With its ability to redefine the literature review experience, Sciscoper ultimately fosters more productive research endeavors and drives innovation in the scientific community.

Versive is an advanced research platform driven by artificial intelligence that significantly accelerates the transformation of questions into actionable insights, far exceeding traditional methodologies. It enables comprehensive data collection through customizable surveys, AI-guided interviews with follow-up prompts for in-depth analysis, and usability tests that capture both screen interactions and audio feedback. The platform also boasts real-time translation capabilities and built-in participant recruitment, making it easy to connect with individuals in multiple languages. On the analytical side, Versive quickly turns transcripts into shareable reports, identifies common themes with direct quotations, allows users to upload their interviews or transcripts for further analysis, and features an AI chat assistant for prompt inquiries and responses. These capabilities enable teams to reduce the time spent on data processing, uncover significant qualitative insights, and generate actionable findings within days instead of weeks, thereby greatly enhancing the overall research experience. As a result, Versive emerges as an essential resource for teams that prioritize both efficiency and depth in their research projects, ensuring they remain competitive in a rapidly evolving landscape. Moreover, the platform's user-friendly interface and streamlined workflow make it accessible to a wider range of users, democratizing the research process.

Askable serves as a holistic research operations platform designed to empower UX and product teams by providing essential tools for user research, encompassing recruitment, execution, analysis, and reporting, all within a unified interface. Its intuitive drag-and-drop study builder supports unmoderated testing and enables live video moderation, accommodating diverse research methods such as surveys, online tasks, card sorting, tree tests, and diary studies, thereby reducing the need to alternate between multiple applications. Moreover, it grants access to a meticulously vetted global participant panel from more than 50 countries while streamlining participant recruitment, scheduling, and incentive management, alongside offering advanced analytics through features like heatmaps, path flows, and AI-generated summaries that reveal significant trends and insights. The platform is specifically designed to eliminate research bottlenecks and hasten the process of delivering actionable insights, allowing teams to swiftly move from initiating studies to obtaining results. By integrating all these capabilities in one solution, Askable not only improves operational efficiency but also cultivates a richer comprehension of user behavior, thus leading to more informed product decisions. This comprehensive offering positions teams to tackle user research challenges more effectively and enhance their overall workflow.

Whyser is a cutting-edge research platform that leverages artificial intelligence to help companies conduct extensive user, customer, and market research interviews and analyses, revolutionizing conventional methods like surveys and focus groups. Users have the option to recruit their own participants or access our vast global network of B2B and B2C panels, which consist of millions of verified individuals across over 170 countries. Through its sophisticated AI capabilities, Whyser conducts interactive voice conversations with real participants, adapting to their responses and probing further to gather rich qualitative insights that are complemented by quantifiable data. The platform is versatile, catering to various research needs such as concept testing, brand perception studies, creative assessments, and usability tests, with results available in video, audio, or text formats. Whether you aim to evaluate new ideas, gauge customer feelings, or analyze brand strength, Whyser allows you to gather and interpret valuable insights in just hours, drastically cutting down the time typically needed for such research. By enhancing the efficiency of the research process, Whyser equips businesses to make swift and informed decisions that can drive success. With its innovative approach, organizations can stay ahead in a competitive market by tapping into insights that were previously time-consuming to obtain.

Claude Science is an AI-powered scientific computing application designed to help researchers perform complex analyses, manage computational workflows, and accelerate scientific discovery within a unified research environment. Built as a specialized application powered by Claude models, the platform extends beyond a traditional AI assistant by integrating scientific databases, laboratory systems, electronic lab notebooks, computational tools, and high-performance computing infrastructure into one workflow. Researchers can perform data wrangling, literature searches, statistical analysis, visualization, figure generation, manuscript drafting, and scientific reasoning without constantly switching between multiple applications. Every figure, notebook, table, and analytical result is accompanied by complete provenance information, including the code, computational environment, and AI interactions that produced it, making research fully reproducible and easier to validate over time. Claude Science supports execution across local workstations, Linux servers, GPU infrastructure, and HPC clusters while automatically managing the computational environments required for each project. The platform includes specialized capabilities for genomics, single-cell RNA sequencing, proteomics, structural biology, cheminformatics, evolutionary biology, and numerous other computational life science disciplines. Researchers can connect existing laboratory pipelines, internal APIs, scientific databases, protein models, and custom research infrastructure through extensible connectors without replacing their current software ecosystem. Built-in scientific tools allow users to query dozens of scientific databases, generate publication-ready figures, refine visualizations through natural language, and perform sophisticated analyses using persistent Python and R environments.

Genway AI stands out as a cutting-edge user research platform fueled by artificial intelligence, designed to enable teams to define their research aims, engage in meaningful interviews, and glean valuable insights from their customer base seamlessly. The process begins with users outlining their research objectives, after which Genway's digital interviewer takes charge, independently arranging and conducting the interviews. Once these conversations are wrapped up, the platform provides immediate summaries, automatic tagging, theme detection, emotional and facial expression analysis, as well as quantitative metrics to support the interpretation of the gathered data. This adaptable tool is crucial for performing contextual and usability studies, covering areas such as prototype testing, churn analysis, and obtaining feedback after product launches, which allows researchers to gather qualitative "thick data" on a large scale while smoothly incorporating the findings into their workflows. Moreover, Genway places a strong emphasis on user privacy, being fully prepared for enterprise applications, and holding certifications that comply with GDPR, SOC 2, HIPAA, and CCPA standards to ensure that sensitive data is managed responsibly. In addition to serving as a holistic solution, Genway AI significantly improves research productivity and equips teams to make informed, data-driven choices with assurance, ultimately transforming the way organizations approach user research.

Copilot Cowork is a new capability within Microsoft 365 Copilot that expands the role of AI from simple assistance to active workplace execution. The feature allows users to delegate tasks directly to AI by describing the outcome they want, after which the system organizes the request into a step-by-step execution plan. Copilot Cowork then carries out the plan in the background while keeping users informed through checkpoints and approval prompts. Using Microsoft’s Work IQ technology, the platform gathers context from emails, calendar events, files, messages, and other signals across Microsoft 365. This contextual understanding allows the AI to act with awareness of a user’s ongoing work and priorities. Copilot Cowork can help streamline everyday activities such as cleaning up calendars, rescheduling meetings, and automatically protecting blocks of focus time. It also assists with meeting preparation by compiling relevant documents, creating briefing materials, generating presentation slides, and drafting follow-up communications. For research tasks, the system collects data from internal documents and external sources like earnings reports or news, organizing the information into structured analysis reports. It can also coordinate larger workflows such as product launches by generating competitive research, planning documents, and shareable presentation assets. These tasks are performed while maintaining user control, allowing individuals to review actions and approve changes before they are applied. Copilot Cowork runs inside Microsoft 365’s secure cloud environment with enterprise identity management, compliance policies, and auditing capabilities. By combining AI planning, automation, and enterprise collaboration tools, Copilot Cowork helps organizations move from simply generating information to actually getting meaningful work completed.

Inqvey represents a cutting-edge survey platform powered by AI, offering a rapid and economical alternative to traditional panel research methods. Instead of spending between $2,000 and $25,000 and waiting for extended periods, users can efficiently conduct surveys targeting both B2B and B2C markets and obtain valuable insights in a matter of hours. Our sophisticated three-stage prediction pipeline is designed to forecast potential responses from your desired demographic, boasting an impressive accuracy of ±2-5 percentage points. This platform is not just limited to basic surveys; it can be utilized for a wide range of purposes including concept validation, competitive analysis, pricing strategies, and feature prioritization. Users can design surveys containing up to 20 tailored questions and target 8 distinct audience personas, while also taking advantage of our Analyze Theme AI for in-depth analysis of open-ended responses, with seamless results exportable in CSV format. The starting price of $99 makes this a highly accessible option for those engaged in market research. The combination of flexibility, speed, and affordability allows businesses to swiftly and effectively make data-driven decisions, ultimately enhancing their strategic initiatives and market outreach.

Acade is a pioneering AI co-scientist that revolutionizes the way initial research questions are transformed into structured and verifiable research methodologies. Its primary function is to support researchers in sifting through existing literature, crafting traceable hypotheses, and designing experiments, while also assisting in the analysis of findings and the creation of a detailed, evidence-based report, all while preserving the authority of the scientist. Designed with a human-in-the-loop framework, Acade enriches the research process, enabling users to search for, evaluate, critique, and document their discoveries without undermining their scientific knowledge. Initially, Acade collects crucial information about the research inquiry, including the relevant field, goals, limitations, associated documents, assumptions, and expected decisions before beginning its assistance. In addition, it skillfully organizes relevant papers, assertions, methodologies, ongoing discussions, and research gaps into a clear and coherent literature map, ensuring the reliability of sourced information. Acade further generates hypothesis cards that help researchers compare evidence against counter-evidence, evaluate novelty, assess feasibility and risk, and ultimately empower them to critically assess potential concepts prior to execution, thereby fostering a more rigorous research atmosphere. This all-encompassing support system not only simplifies the research journey but also promotes diligent analysis and informed decision-making throughout the entire undertaking, making it an invaluable asset for modern researchers. Its ability to adapt to various research needs makes Acade an essential tool for advancing scientific inquiry.

Apodex is an innovative, self-evolving solver tailored for in-depth research, prioritizing answers that withstand examination through comprehensive reasoning rather than simplistic quick replies. It systematically addresses intricate problems in a methodical way, making sure that each conclusion is substantiated before moving forward, with every report supported by credible citations. Designed specifically for complex inquiries that do not have straightforward solutions, Apodex thoroughly investigates research, evaluates evidence, and confirms each step, instilling confidence in users regarding the journey to the final answer. Account holders have the advantage of saving their questions, allowing them to revisit and further their investigations at their convenience, as well as searching within various threads and branching off from any report to examine the rationale behind each decision in depth. The Apodex-1.0 model not only underscores the importance of verification in extensive research but can also serve as a traditional tool through the ReAct agent; its robust mode additionally operates a team of asynchronous agents who distribute tasks to specialized sub-agents for the purpose of retrieval and verification, with findings consolidated into a shared evidence repository that feeds into a global verification network. This groundbreaking methodology enhances the dependability of research results while fostering a more interactive and user-friendly experience for individuals seeking thorough answers, ultimately making Apodex a valuable asset for anyone engaged in complex investigations.

Arcmira functions as a media intelligence and transcript search platform that empowers users to delve into the content of indexed YouTube videos and podcasts. It allows for searching spoken segments, examining timestamped source links, identifying people and organizations, tracking mentions and appearances, monitoring various topics, and evaluating sponsorship or recommendation indicators. For those who require more comprehensive transcripts, premium options are offered, which include speaker attribution and coverage for recordings that do not have usable captions. Developers can seamlessly integrate the service through multiple methods, such as an HTTP/JSON API, TypeScript and Python SDKs, a command-line interface, and a remote MCP server designed for AI agents. Arcmira is specifically designed for developers, researchers, creators, and teams in need of source-linked evidence from a vast array of media. Furthermore, it is crucial to validate automated classifications and speaker identifications against the original recordings to ensure the utmost accuracy. This dedication to meticulousness reinforces Arcmira's significance as an essential resource for professionals engaged in comprehensive media analysis, enhancing the reliability of their findings.

Effortlessly assess real-time financial information from multiple online platforms. By doing so, you can remain at the forefront of market trends and enhance your investment choices through critical insights derived from this data. Additionally, this approach enables you to identify opportunities that may have otherwise gone unnoticed.

Transform your product decision-making process to be five times more efficient with BuildBetter's cutting-edge Signal Engine, which revolutionizes qualitative data by streamlining the search, extraction, organization, and summarization processes. Enjoy an astonishing 78% uptick in insights derived from customer feedback when compared to teams utilizing conventional manual research approaches, marking a substantial leap forward in qualitative analysis. By systematically categorizing customer insights into relevant topics, themes, and issues, you can save an average of 200 hours each year. Our outstanding summarization features yield insights that feel remarkably effortless, whether it’s summarizing calls, feature requests, or any other data that BuildBetter can process. Thanks to our unique Call Intelligence, driven by the Signal Engine, you can meticulously monitor and assess every call received by your product team, ensuring that no critical information is overlooked. Enter a new phase of decision-making with BuildBetter, where actionable insights are readily accessible at your fingertips, empowering your team to make informed choices swiftly and effectively. This innovative approach not only enhances productivity but also fosters a culture of data-driven decision-making across your organization.