Goldfish vs. Dex

Your team's content can be effectively consolidated within a workspace that is well-organized, version-controlled, and easily shareable. While Air provides a space for storing your content, it also boasts features like intelligent search capabilities, guest access permissions, and customizable layouts. Additionally, it simplifies the process of version tracking and sharing, enhancing the overall creative experience. No longer will you need to bury assets within zip files and folders; instead, you can craft lightweight presentations and social media posts. Your content can be structured in a manner that aligns seamlessly with your brand identity. The workspace doubles as a powerful search engine, equipped with smart tags and image recognition, enabling all team members, including managers, to effortlessly find and utilize assets. One of the most challenging aspects of collaboration is often the feedback process, but Air allows guests to contribute directly to your workspace via public boards. You can engage in discussions, leave comments, and make selections with context, fostering a collaborative environment. Moreover, you can easily track changes and pinpoint the latest version of any asset, ensuring that everyone is on the same page. This streamlined approach not only facilitates better organization but also promotes creativity and innovation within the team.

FinOpsly helps enterprises regain control of cloud, data, and AI spend—and turn it into measurable business value. As organizations scale across AWS, Azure, GCP, and modern data platforms like Snowflake, Databricks, and BigQuery, technology costs become harder to predict, explain, and control. FinOpsly addresses this challenge by connecting technology spend directly to business outcomes—and enabling teams to act on it in real time. FinOpsly unifies cloud infrastructure, data platforms, and AI workloads into a single operating model where spend is planned upfront, monitored continuously, and optimized automatically. Using explainable, policy-driven AI, the platform helps organizations reduce waste, prevent overruns, and align technology investments with business priorities—without slowing down innovation. With FinOpsly, organizations can: Understand exactly where money is going across AWS, Azure, GCP, Snowflake, Databricks, and BigQuery Plan and forecast costs earlier, before new cloud, data, or AI initiatives are deployed Automate optimization safely, using governance rules aligned to business risk and performance needs Deliver measurable financial impact quickly, often within weeks rather than quarters FinOpsly enables IT, finance, and business leaders to operate from a shared view of spend and value—bringing Value-Control™ to cloud, data, and AI investments at enterprise scale.

Graylog is the AI-powered SIEM and log management platform built for teams that need clarity, speed, and control. It unifies event data from every corner of the environment so security and IT operations can detect threats sooner, investigate faster, and manage data costs predictably—without compromise. Graylog delivers explainable AI that highlights what matters, accelerates investigations, and guides consistent response—while keeping analysts firmly in control. Its open, extensible architecture integrates easily with the tools organizations already use. With Graylog Security, Enterprise, API Security, and Open, more than 60,000 organizations in 180 countries rely on Graylog to simplify detection, strengthen response, and cut through noise. Headquartered in Houston and rooted in open source, Graylog continues to help modern teams work smarter and stay ahead—on their terms.

Gemini Enterprise Agent Platform is an advanced AI infrastructure from Google Cloud that enables organizations to build and manage intelligent agents at scale. As the evolution of Vertex AI, it consolidates model development, agent creation, and deployment into a unified platform. The system provides access to a diverse library of over 200 AI models, including cutting-edge Gemini models and leading third-party solutions. It supports both low-code and full-code development, giving teams flexibility in how they design and deploy agents. With capabilities like Agent Runtime, organizations can run high-performance agents that handle long-duration tasks and complex workflows. The Memory Bank feature allows agents to retain long-term context, improving personalization and decision-making. Security is a core focus, with tools like Agent Identity, Registry, and Gateway ensuring compliance, traceability, and controlled access. The platform also integrates seamlessly with enterprise systems, enabling agents to connect with data sources, applications, and operational tools. Real-time monitoring and observability features provide visibility into agent reasoning and execution. Simulation and evaluation tools allow teams to test and refine agents before and after deployment. Automated optimization further enhances agent performance by identifying issues and suggesting improvements. The platform supports multi-agent orchestration, enabling agents to collaborate and complete complex tasks efficiently. Overall, it transforms AI from a productivity tool into a fully autonomous operational capability for modern enterprises.

Numa is the AI Customer Operations System purpose-built for dealerships that are losing revenue and customers to broken processes they've been patching for years. Every day, service calls go unanswered, advisors are buried fielding "where's my car?" instead of selling work, and managers don't hear about unhappy customers until the bad review is already live. Numa solves this at the infrastructure level, automatically following up with customers and giving advisors, reps, and managers real-time visibility into customer satisfaction across the entire operation. Operator answers and routes every inbound call so no opportunity goes dark. Status Updates proactively contacts customers so advisors aren't drowning in callbacks. Voice AI books appointments on the spot so customers never sit waiting. LiveCSI surfaces heat cases in real time so managers can step in before a CSI score takes the hit. Opportunities reaches out on declined services, open recalls, and equity moments, recovering revenue that would otherwise sit untouched. All of it runs through one unified system: one inbox, one shared context, nothing falling through the cracks. The result: revenue recovered, advisors freed up, and a customer experience that lifts CSI and builds lasting loyalty.

LM-Kit.NET serves as a comprehensive toolkit tailored for the seamless incorporation of generative AI into .NET applications, fully compatible with Windows, Linux, and macOS systems. This versatile platform empowers your C# and VB.NET projects, facilitating the development and management of dynamic AI agents with ease. Utilize efficient Small Language Models for on-device inference, which effectively lowers computational demands, minimizes latency, and enhances security by processing information locally. Discover the advantages of Retrieval-Augmented Generation (RAG) that improve both accuracy and relevance, while sophisticated AI agents streamline complex tasks and expedite the development process. With native SDKs that guarantee smooth integration and optimal performance across various platforms, LM-Kit.NET also offers extensive support for custom AI agent creation and multi-agent orchestration. This toolkit simplifies the stages of prototyping, deployment, and scaling, enabling you to create intelligent, rapid, and secure solutions that are relied upon by industry professionals globally, fostering innovation and efficiency in every project.

Iru AI is a next-generation, AI-native security and compliance platform designed to unify and automate enterprise protection in an increasingly complex digital landscape. Built from the ground up for the AI era, Iru integrates identity management, endpoint protection, and compliance automation within a single, context-aware system. Its proprietary Iru Context Model continuously interprets relationships between users, apps, and devices, enabling intelligent actions across authentication, threat detection, and audit workflows. The Identity module eliminates passwords with device-bound authentication, ensuring frictionless yet secure access to every enterprise app. The Endpoint suite consolidates management, detection, and vulnerability response into one lightweight agent, providing real-time visibility and cross-platform consistency. Meanwhile, the Compliance engine automates control mapping and evidence collection, reducing audit preparation time while maintaining continuous readiness. Unlike fragmented legacy tools, Iru’s unified approach minimizes security gaps, streamlines administration, and improves user experience across the organization. The platform’s scalability and AI automation have helped firms cut IT workloads in half while achieving stronger security postures and regulatory compliance. Trusted by global innovators like Airbus, Notion, McLaren, and BetterHelp, Iru is transforming how enterprises secure their digital ecosystems. With over 5,000 customers and top-tier ratings for usability and innovation, Iru empowers teams to focus on strategic growth rather than operational complexity.

Without context, AI Agents are unable to effectively manage your network, which is where NetBrain steps in. NetBrain offers a reliable and tested approach to Agentic NetOps, supported by an AI-driven platform that leverages network context, genuine customer experiences, and extensive knowledge of enterprise networks. By combining these elements, NetBrain ensures that your network management is both efficient and informed.

Dragonfly acts as a highly efficient alternative to Redis, significantly improving performance while also lowering costs. It is designed to leverage the strengths of modern cloud infrastructure, addressing the data needs of contemporary applications and freeing developers from the limitations of traditional in-memory data solutions. Older software is unable to take full advantage of the advancements offered by new cloud technologies. By optimizing for cloud settings, Dragonfly delivers an astonishing 25 times the throughput and cuts snapshotting latency by 12 times when compared to legacy in-memory data systems like Redis, facilitating the quick responses that users expect. Redis's conventional single-threaded framework incurs high costs during workload scaling. In contrast, Dragonfly demonstrates superior efficiency in both processing and memory utilization, potentially slashing infrastructure costs by as much as 80%. It initially scales vertically and only shifts to clustering when faced with extreme scaling challenges, which streamlines the operational process and boosts system reliability. As a result, developers can prioritize creative solutions over handling infrastructure issues, ultimately leading to more innovative applications. This transition not only enhances productivity but also allows teams to explore new features and improvements without the typical constraints of server management.

Cloverleaf is the only AI coaching platform that combines validated behavioral assessments, HR system data, and calendar context to deliver coaching proactively — right inside Slack, Microsoft Teams, Workday, and email. With support for DISC, CliftonStrengths, Insights Discovery, and other validated assessments on a single platform, Cloverleaf helps organizations get more value from their assessment investments. Customers save an average of 32% on assessment spend while unlocking continuous coaching powered by that data. What makes Cloverleaf different is how coaching is proactively delivered. It's personalized to the individual, the people they're meeting with, and the work happening that day. Ahead of a performance conversation, a team standup, or a 1:1 with a new direct report, relevant coaching shows up automatically. No one has to open a separate app or figure out what to search for. HR and talent leaders can map coaching to their organization's own competency models and leadership expectations. When someone gets promoted, changes teams, or moves into a management role for the first time, coaching activates through HRIS integration — covering skills like delegation, giving feedback, and navigating new team dynamics from the start. The platform addresses core talent development needs: building manager capability, reinforcing performance review outcomes, preparing leaders during role transitions, and sustaining the impact of formal development programs between cohorts and workshops. Coaching happens in the flow of work so that skills actually show up in daily behavior. HR and talent leaders can track coaching engagement, monitor which capabilities are being reinforced, and identify development trends across teams and departments. Cloverleaf holds SOC 2 Type II, ISO 27001, and GDPR-aligned certifications. More than 45,000 teams rely on it today, with 86% reporting stronger team performance and 95% gaining actionable new learnings.