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AthenaHQ is a powerful platform focused on Generative Engine Optimization (GEO), helping brands improve their AI search visibility and brand perception across AI-powered search engines. It offers tools to track brand mentions, identify gaps in AI-generated content, and enhance content to align with AI’s evolving preferences. With features like daily tracking, competitor analysis, and source intelligence, AthenaHQ provides actionable insights to help businesses stay relevant in an AI-dominated search landscape. The platform's AI-powered capabilities enable businesses to optimize content and drive more meaningful engagement through generative search.

Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search across ChatGPT, AI Overview, AI Mode, Gemini, Claude, Perplexity, Meta, DeepSeek and Copilot. We're building the first marketing platform for AI search as a channel. We show enterprise brands exactly where they stand when customers discover them through AI — then give them the precise playbook to show up stronger. This is Generative Engine Optimization, also known as AI SEO. Using applied AI and data science at scale, we give brands statistical confidence in our actionable insights. We decode what gets brands mentioned more and ranked higher, provide reliable brand monitoring and competitive intelligence, then deliver actionable content strategies that move the needle. Our AI SEO and AI search engine optimization tools are built for how LLMs actually work. Why Leading Enterprise Marketers Choose Evertune: Data Science at Scale: We prompt across every major LLM at volumes that capture response variations and ensure statistical significance for comprehensive brand monitoring and competitive intelligence. Actionable Strategy, Not Just Dashboards: Specific content, messaging and distribution tactics that increase your AI search visibility. Dedicated Customer Success: Hands-on training and strategic guidance to turn insights into improved performance in AI search. Built for AI search as a channel: Organic visibility today, paid advertising and commerce tomorrow. Proven Leadership: Founded by The Trade Desk veterans who pioneered data-driven digital advertising. Backed by data scientists from OpenAI, Meta and other AI leaders.

RallyFuel bridges the gap between college athletes, fans, and brands by facilitating verified NIL (Name, Image, Likeness) agreements. Our innovative platform simplifies the entire NIL journey, encompassing everything from discovering and negotiating deals to ensuring compliance and managing payment transactions seamlessly. Through our service, athletes can effectively monetize their personal brands via various avenues such as fan engagements, autographs, public appearances, social media promotions, and collaborations with brands. Fans, in turn, enjoy genuine connections with their cherished college athletes through clear and compliant transactions aligned with NCAA regulations. Highlighted features include: - Authentic athlete profiles - Secure payment systems - Tools for NCAA compliance - Standardized deal templates and contracts - Analytics to track performance - A direct marketplace connecting fans and athletes Designed specifically for the evolving landscape of college athletics, RallyFuel guarantees that every interaction is transparent, compliant, and advantageous for athletes, fans, and educational institutions alike, fostering a supportive community around college sports. Our commitment to transparency ensures all parties involved can trust the process and feel empowered in their engagements.

Questionnaires, audits, and RFPs consume a significant amount of your experts' time. Turn this administrative burden into an engine to win. Optivalue.ai reduces response times by up to 90% by automating information discovery and response drafting, allowing your experts to focus on the high-impact personalization that wins bids. Here's how it works: Understanding: Connected to your systems, it acts as an expert librarian. It reads and understands your entire knowledge base to know precisely where the best information is for any question. Submission: You submit a questionnaire to it. Response: In minutes, it generates a complete draft response using the most relevant excerpts from your own documents. Every answer becomes a verified fact. For perfect traceability, every statement is substantiated. Optivalue.ai precisely cites the source document, page, and date. You don't just answer correctly—you prove it. It’s an engine for organizational improvement. Optivalue.ai performs a gap analysis to identify weaknesses in your documentation. The proposed improvements build your team's expertise. By implementing these recommendations to update your internal documents, you drive lasting progress across your entire organization. Your data security is guaranteed. Optivalue.ai is built with enterprise-grade security, compliant with strict standards like GDPR, HIPAA, ISO, and FedRAMP, allowing you to manage your most sensitive data with complete confidence. All our plans include unlimited users and projects. Start your 14-day free trial. No credit card required. No commitment.

MikMak, a SPINS company, is a global software company that provides a leading commerce intelligence and orchestration platform for multichannel brands, helping them grow in real-time. In January of 2026, MikMak was acquired by SPINS, bringing together two category leaders in commerce intelligence and best-in-class data and insights. The combined entity provides brands with an unrivaled, unified view of availability, point-of-sale performance, and consumer behavior, globally and in real-time.

Google Workspace is an all-in-one cloud productivity platform developed by Google to help businesses manage communication, collaboration, document creation, and workflow automation from a centralized environment. The platform combines professional email, cloud storage, video conferencing, document editing, team messaging, scheduling, and AI-powered assistance into one subscription-based ecosystem optimized for modern work environments. Google Workspace includes applications such as Gmail, Google Drive, Google Meet, Docs, Sheets, Slides, Calendar, Chat, Keep, Forms, Sites, NotebookLM, and Gemini AI, enabling teams to work together seamlessly across devices and locations. One of the platform’s core strengths is its built-in AI functionality powered by Gemini, which helps users draft emails, summarize meetings, generate research insights, automate repetitive tasks, and improve productivity using contextual awareness from workplace data. Google Workspace also supports advanced collaboration features including real-time editing, appointment scheduling, eSignatures, document sharing, cloud storage management, and AI-assisted research tools. Businesses benefit from enterprise-grade security features such as AI-powered threat protection, data classification, endpoint management, Data Loss Prevention, secure access controls, and compliance support for enterprise environments. The platform offers scalable pricing plans suitable for startups, small businesses, enterprises, educational institutions, nonprofits, and government organizations. Google Workspace also simplifies data migration and onboarding with built-in migration tools and partner support for transferring emails, files, and business information securely into the cloud.

JDisc Discovery is a powerful IT asset management and network discovery tool, designed to provide organizations with clear, real-time insights into their entire IT environment. By automatically scanning the network, it identifies and catalogs devices, from physical servers and workstations to virtual machines and network appliances, giving users a detailed inventory of their assets. The tool captures essential data such as hardware specifications, installed software, system configurations, and interdependencies among devices. A key advantage of JDisc Discovery is its agentless architecture. Rather than requiring installation on each device, it uses multiple protocols (like SNMP, SSH, WMI) to gather information, ensuring quick deployment and compatibility across various operating systems, including Windows, Linux, and Unix. This makes it ideal for diverse and dynamic IT ecosystems, enabling efficient and non-intrusive data collection.

Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.

FinOpsly is an AI-native control plane for managing Cloud, Data, and AI spend at enterprise scale. Built for organizations operating across multiple clouds and data platforms, FinOpsly shifts FinOps from passive reporting to active, governed execution. The platform connects cost, usage, and business context into a unified operating model—allowing teams to anticipate spend, enforce guardrails, and take automated action with confidence. FinOpsly brings together infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks, BigQuery), and AI workloads into a single decision and execution layer. With explainable AI agents operating under policy-based controls, teams can safely automate optimization, trace cost drivers to real workloads, and stop budget drift before it becomes a problem. Key capabilities include: Business-aware cost attribution across products, teams, and services Predictive insight into cost drivers with clear, explainable reasoning Policy-controlled automation to optimize spend without disrupting performance Early detection and prevention of overruns, inefficiencies, and financial drift FinOpsly enables engineering, finance, and platform teams to operate from the same source of truth—turning cloud and data spend into a controllable, measurable part of the business.

Engineering teams shipping with AI have a new bottleneck: validation. Code output has accelerated. Quality hasn't. Checksum closes the gap. Checksum is a continuous quality platform with a suite of AI agents that handle testing end-to-end, at every stage of the development lifecycle. Where most tools wait for a human to trigger them, Checksum runs autonomously in the background, generating tests, executing them, and repairing failures without manual intervention. Seventy percent of test failures are resolved automatically through real-time auto-recovery. The platform covers every layer: end-to-end UI flows via Playwright, API endpoint chains, and targeted CI tests scoped to exactly what changed in a PR. All tests land as real code in your repository and are delivered as standard Playwright, owned by your team. Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents. Type /checksum and your coding agent's output gets tested before it ever reaches review. Generation and healing happen on Checksum's cloud infrastructure which means no LLM tokens consumed, no local resources required. The result: test suites that stay green as the product evolves, fewer regressions reaching production, and release confidence that scales alongside AI output.