
Our advanced AI functions as an unparalleled agent, expertly equipped to address inquiries and assist customers throughout their entire experience, available around the clock. This solution is not only economical and efficient but also brings immediate domain knowledge and seamless integration capabilities. The conversational AI from Enterprise Bot excels in comprehending and replying to user inquiries across various languages. With its extensive domain expertise, it achieves remarkable accuracy and accelerates time-to-market significantly. We provide automation solutions that seamlessly connect with essential systems, catering to sectors such as commercial or retail banking, asset management, and wealth management. Customers can easily monitor trade statuses, settle credit card bills, extend offers, and much more. By simplifying responses to intricate questions regarding insurance products, we enable enhanced sales and cross-selling opportunities. Our intelligent flows facilitate the quick reporting of claims, streamlining the claims process for users. Additionally, our AI interface empowers customers to inquire about ticketing, reserve tickets, check train schedules, and share their feedback in a user-friendly manner. This comprehensive support ensures that every aspect of the customer journey is smooth and efficient.
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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.
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: We decode exactly what gets brands mentioned more and ranked higher, then deliver the specific content, messaging and distribution moves that improve your position.
Dedicated Customer Success: Our team provides hands-on training and strategic guidance to help you execute on insights and improve your AI search visibility.
Purpose-Built for AI as a Channel: Evertune was founded in 2024 specifically for how LLMs select and rank brands. While others retrofit SEO tools, we're architecting the infrastructure for where marketing is going: AI search with organic visibility today, paid placements and agentic commerce tomorrow.
Proven Leadership: Our founders helped build The Trade Desk and pioneered data-driven digital advertising. We've shepherded an entire industry through transformation before and have seen early adopters grab the competitive advantage. Our investors, including data scientists from OpenAI and Meta, back our vision because they see where this channel is heading.
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Gemini
Gemini is Google’s next-generation AI assistant designed to deliver intelligent help across research, creativity, communication, and task management. Built on Google’s most advanced AI models, including Gemini 3, it helps users understand complex topics, generate content, and solve problems through natural conversation. Gemini enables text, image, and video generation, allowing users to quickly turn ideas into visual and written outputs. Its grounding in Google Search ensures responses are informed, relevant, and easy to explore further through follow-up questions. Gemini supports hands-free and conversational brainstorming through Gemini Live, making it useful for presentations, interviews, and idea development. With Deep Research, Gemini can analyze hundreds of sources and compile detailed reports in a fraction of the time. The platform connects directly to Google apps like Gmail, Docs, Calendar, Maps, and YouTube to streamline everyday workflows. Users can build personalized AI helpers using Gems by saving detailed instructions and uploaded files. Gemini’s long context window allows it to process large documents, code repositories, and research materials in a single session. Multiple plans provide flexibility, from free access for students and casual users to premium tiers with higher limits and advanced features. Gemini is available across web and mobile devices for seamless access. Designed to adapt to different needs, Gemini supports consumers, professionals, educators, and enterprises alike.
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MiniMax M2.5
MiniMax M2.5 is an advanced frontier model designed to deliver real-world productivity across coding, search, agentic tool use, and high-value office tasks. Built on large-scale reinforcement learning across hundreds of thousands of structured environments, it achieves state-of-the-art results on benchmarks such as SWE-Bench Verified, Multi-SWE-Bench, and BrowseComp. The model demonstrates architect-level planning capabilities, decomposing system requirements before generating full-stack code across more than ten programming languages including Go, Python, Rust, TypeScript, and Java. It supports complex development lifecycles, from initial system design and environment setup to iterative feature development and comprehensive code review. With native serving speeds of up to 100 tokens per second, M2.5 significantly reduces task completion time compared to prior versions. Reinforcement learning enhancements improve token efficiency and reduce redundant reasoning rounds, making agentic workflows faster and more precise. The model is available in both M2.5 and M2.5-Lightning variants, offering identical intelligence with different throughput configurations. Its pricing structure dramatically undercuts other frontier models, enabling continuous deployment at a fraction of traditional costs. M2.5 is fully integrated into MiniMax Agent, where standardized Office Skills allow it to generate formatted Word documents, financial models in Excel, and presentation-ready PowerPoint decks. Users can also create reusable domain-specific “Experts” that combine industry frameworks with Office Skills for structured, professional outputs. Internally, MiniMax reports that M2.5 autonomously completes a significant portion of operational tasks, including a majority of newly committed code. By pairing scalable reinforcement learning, high-speed inference, and ultra-low cost, MiniMax M2.5 positions itself as a production-ready engine for complex agent-driven applications.
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