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Pilloo AI
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Dialpad pushes the limits of Ai. As a pioneer in the space, we built the first Ai-powered customer intelligence platform that now serves as the foundation for all Dialpad products. We also created our own proprietary large language model (LLM), leveraging over six billion minutes of conversational data, to ensure optimal accuracy for features like Ai Recaps automated meeting summaries. Supported by notable investors such as Andreessen Horowitz, Google Ventures, and ICONIQ, Dialpad is a dynamic force in AI technology with a rapidly expanding presence.
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Zendesk for Customer Service is an AI-powered service solution that’s easy to set up, use, and scale. It offers out-of-the-box functionality that’s simple to modify, helping businesses move faster. Leveraging AI built on billions of CX interactions, Zendesk enhances the entire service experience—from self-service to agents and admins—improving efficiency at scale. Zendesk equips agents with tools, insights, and context to deliver personalized service across all channels, including social messaging, phone, and email. It unifies personalized conversations, omnichannel case management, AI workflows, automation, and a Marketplace of 1800+ apps under one platform. Zendesk QA uses AI to evaluate and improve agent performance, while Workforce Management optimizes scheduling and productivity to ensure readiness during peak times. The solution is easy to implement and adjust without needing IT or developers. Zendesk’s mission is to simplify business complexity and enable meaningful customer connections for companies of all sizes. Serving 130K+ global brands in 30+ languages, Zendesk is headquartered in San Francisco with offices worldwide.
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Krisp delivers real-time Voice AI technology that improves digital conversations across meetings, contact centers, and embedded applications. The platform combines noise and echo removal, background voice cancellation, accent conversion, live voice translation, transcription, meeting summarization, and agent assistance in one solution. Krisp technology is deployed on more than 200 million devices and processes over 75 billion minutes of voice conversations each month. Organizations use it to capture accurate meeting records, enhance customer interactions, and build new voice-enabled products. Contact centers and service providers report measurable impact, including reductions in noise-related complaints, faster call handling, and higher customer satisfaction. By operating on-device and in the cloud, and by supporting any microphone, headset, or communication app, Krisp provides a scalable, privacy-focused layer of real-time voice AI for businesses of every size.
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Dialpad pushes the limits of Ai. As a pioneer in the space, we built the first Ai-powered customer intelligence platform that now serves as the foundation for all Dialpad products. We also created our own proprietary large language model (LLM), leveraging over six billion minutes of conversational data, to ensure optimal accuracy for features like Ai Recaps automated meeting summaries. Supported by notable investors such as Andreessen Horowitz, Google Ventures, and ICONIQ, Dialpad is a dynamic force in AI technology with a rapidly expanding presence.
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Quartile optimizes e-commerce ad campaign performance to drive more sales for marketplace sellers. Powered by robust analytics, AI and machine learning, Quartile is a new type of advertising platform to serve agencies, brands and sellers in the e-commerce marketplace era. Clients have trusted Quartile to manage over $1 billion a year in ad spend on platforms such as Amazon, Google, Shopify, and Instacart, driving more than $10 billion in annual total sales.
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Ada is the omnichannel AI platform for customer service - built to automate, scale, and elevate the customer experience across support channels with AI agents. Trusted by global brands like Square, Pinterest, Canva, and monday.com, Ada has powered over 5.5 billion interactions since 2016.
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Conversica’s industry-leading Conversational AI platform delivers authentic, two-way conversations that activate all parts of the funnel with precision, proactively increasing lead conversions and revenue growth. Whether the focus is converting leads in Marketing, closing deals in Sales or growing existing customers in Customer Success, Conversica’s Conversation Automation solution is informed by the industry’s most advanced enterprise-class, self-learning AI models derived from billions of human interactions over more than a decade. Our Conversational Marketing, Conversational Sales and Conversational Customer Success Intelligent Virtual Assistants are powerful enough to hold meaningful dialog in real-time across the entire customer lifecycle and smart enough to seek out and fill the ‘conversation gaps’ in the funnel, delivering the right message at the right time to put any hint of interest on the fast track to conversion. Attack each gap and slowdown point in the buyer journey with precision, influencing and persuading leads, prospects and customers through automated 1:1 interactions tailored to the unique needs of each contact.
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Sendbird is the AI customer experience company. We provide the infrastructure that powers delight.ai – the branded AI concierge, and the Sendbird Communication Suite, the world’s #1 communication API platform. Together, they enable brands to deepen connection and deliver personal, trusted, and unforgettable customer experiences. Trusted by 4,000+ leading apps—including DoorDash, Match Group, Noom, and Yahoo Sports—Sendbird powers over 7 billion conversations every month, offering exceptional reliability, security, and compliance that meet enterprise-level demands. Founded in 2013, Sendbird is backed by ICONIQ, SoftBank, Tiger Global and Y Combinator.
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B2B Rocket is an AI-driven sales automation platform designed to streamline the B2B sales process by automating lead generation, engagement, and conversion. By leveraging proprietary AI agents, it enables businesses to efficiently manage the entire sales lifecycle, from identifying potential leads to closing deals, without the need for extensive human intervention. Key Features and Functionality: - AI-Powered BDR Agents: Automate cold email marketing and lead engagement across multiple channels, including email, LinkedIn, WhatsApp, and SMS. - Multi-Channel Outreach: Facilitate communication through various platforms to maximize reach and engagement. - Lead Database Access: Provide access to a vast database containing emails, phone numbers, and over 1 billion data points, enabling efficient lead identification and contact. - Unified Inbox & CRM: Centralize communications and manage deals, track leads, and schedule appointments effortlessly within a single platform. - Email Warm-Up and Validation: Enhance email deliverability and maintain a clean contact list by warming up email accounts and validating addresses. - Advanced Analytics & Insights: Monitor campaign performance and gain actionable insights to optimize sales strategies. Primary Value and Solutions Provided: B2B Rocket addresses common challenges in B2B sales by automating repetitive tasks, reducing the need for large sales teams, and enhancing lead quality through intelligent targeting. Its AI agents handle the time-consuming aspects of sales outreach, allowing businesses to focus on building customer relationships and closing deals. By integrating multi-channel communication and providing a comprehensive CRM system, B2B Rocket ensures a cohesive and efficient sales process. The platform's data-driven approach and advanced analytics empower businesses to make informed decisions, ultimately driving revenue growth and operational efficiency.
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Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model developed by Meta, designed to handle both text and image inputs while generating multilingual text and code outputs across 12 languages. Built on a mixture-of-experts (MoE) architecture with 128 experts, it activates 17 billion parameters per forward pass out of a total of 400 billion, ensuring efficient processing. Optimized for vision-language tasks, Maverick is instruction-tuned to exhibit assistant-like behavior, perform image reasoning, and facilitate general-purpose multimodal interactions. It features early fusion for native multimodality and supports a context window of up to 1 million tokens. Trained on approximately 22 trillion tokens from a curated mix of public, licensed, and Meta-platform data, with a knowledge cutoff in August 2024, Maverick was released on April 5, 2025, under the Llama 4 Community License. It is well-suited for research and commercial applications requiring advanced multimodal understanding and high model throughput. Key Features and Functionality: - Multimodal Input Support: Processes both text and image inputs, enabling comprehensive understanding and generation capabilities. - Multilingual Output: Generates text and code outputs in 12 languages, including Arabic, English, French, German, Hindi, Indonesian, Italian, Portuguese, Spanish, Tagalog, Thai, and Vietnamese. - Mixture-of-Experts Architecture: Utilizes 128 experts with 17 billion active parameters per forward pass, optimizing computational efficiency and performance. - Instruction-Tuned: Fine-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interactions, enhancing its applicability across various tasks. - Extended Context Window: Supports a context length of up to 1 million tokens, facilitating the processing of extensive and complex inputs. Primary Value and User Solutions: Llama 4 Maverick 17B Instruct addresses the growing demand for advanced AI models capable of understanding and generating content across multiple modalities and languages. Its multimodal and multilingual capabilities make it an invaluable tool for developers and researchers working on applications that require nuanced language understanding, image processing, and code generation. The model's instruction-tuned nature ensures it can perform a wide range of tasks with high accuracy, from serving as an intelligent assistant to executing complex reasoning tasks. Its efficient architecture and extended context window allow for the handling of large-scale data inputs, making it suitable for both research and commercial applications that demand high throughput and advanced multimodal understanding.
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Nano Banana 2 is Google's latest AI image generation and editing model, designed to deliver high-quality, photorealistic images at unprecedented speeds. Built on the Gemini 3.1 Flash Image architecture, it combines advanced world knowledge with rapid processing capabilities, enabling users to bring their creative visions to life efficiently. Key Features and Functionality: - Lightning-Fast Generation: Produces professional-quality images significantly faster than previous models, ideal for rapid prototyping and high-volume creative workflows. - High-Resolution Output: Supports image generation from 512 pixels up to 4K resolution, catering to various platforms from social media to large-format prints. - Enhanced Text Rendering: Generates accurate, legible, and beautifully styled text within images, suitable for marketing materials, product mockups, and branded content. - Subject Consistency: Maintains character resemblance for up to five different individuals and the fidelity of up to 14 objects across multiple generations, facilitating consistent storytelling and branding. - Real-Time Web Grounding: Utilizes real-time web search to accurately render specific real-world subjects, current events, and trending topics, ensuring factually accurate imagery grounded in live data. - Configurable Aspect Ratios: Offers full control over various aspect ratios, allowing creators to produce assets optimized for any platform, from social media stories to digital billboards. - Enhanced Instruction Following: Adheres strictly to complex user requests, capturing the specific nuances of creative visions with precision. Primary Value and User Solutions: Nano Banana 2 addresses the need for rapid, high-quality image generation and editing in various creative and professional domains. Its speed and precision enable users to quickly produce and iterate on visual content, reducing the time and resources traditionally required for such tasks. The model's ability to maintain subject consistency and render accurate text within images makes it particularly valuable for marketing, design, and storytelling applications. By integrating real-time web data, Nano Banana 2 ensures that generated images are relevant and factually accurate, enhancing the credibility and impact of the visual content.
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ZELIQ is an all-in-one sales solution that provides you with the most accurate prospect data and enables you to conduct omni-channel outreach, all within a single platform. With ZELIQ, you have all your sales tools consolidated into one platform, eliminating the need to switch between different tool stacks. We've designed the most efficient workflow for business developers, offering you automation from identifying the right prospects and gathering their contact details to conducting outreach. Access our 1.8 billion prospect database with free, unlimited email enrichment and data health checks. With our AI technology, we aim to support you every step of the way, making selling as easy as possible.
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Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. ​ Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.
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Cequence is a pioneer in API security and bot management, making the applications and APIs that organizations depend on AI-ready while protecting them from attacks, business logic abuse, and fraud. Our unique solutions unlock the promise of agentic AI productivity while providing real-time security against increasingly subtle and sophisticated threats. Cequence delivers value in minutes rather than days or weeks with a highly scalable, no-code, no-risk approach. Trusted by the largest and most demanding private and public sector organizations, Cequence protects more than 10 billion daily API interactions and 4 billion user accounts. The company is led by industry veterans that previously held leadership positions at Palo Alto Networks and Symantec.
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Zendesk for Employee Service is an easy to use, AI-powered solution designed to streamline internal service delivery across IT Service Management (ITSM), Human Resources Service Management (HRSM), and other internal support. Built on the Zendesk Resolution Platform and powered by AI trained on 18+ billion service interactions, Zendesk empowers teams to provide fast, accurate resolutions, increasing employee satisfaction and productivity. Easy to implement, scale, and adapt across departments, Zendesk is designed to accommodate the evolving needs of growing organizations without costly developer resources. The platform offers pre-built integrations with popular IT and HR systems, along with robust data analytics to drive informed decisions. Whether you're looking to build a top-tier service desk, improve incident management, automate workflows, or boost self-service capabilities, Zendesk for Employee Service provides the ease of use, flexibility and scalability required for today's dynamic workplace.
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IBM Sterling B2B Integration SaaS is a cloud-based, digital business network that enables you to streamline collaboration across your Supply Chain by digitizing and automating B2B transactions. Leverage AI to deliver deep search and visibility into B2B transaction lifecycles, so business users have the insights needed to make faster and more informed decisions. - Deliver frictionless connectivity across your supply chain - Streamline connections and collaboration with your customers, suppliers, and trading partners to digitize and automate all B2B transactions across your supply chain, with a network of over 400,000 preconnected global trading partners exchanging billions of documents a year. - Enrich business user’s visibility into B2B exchanges with AI - Business users can quickly pinpoint and assess issues in real-time by leveraging AI to help correlate related documents. Business users can see a holistic view of all relevant transactions in a single dashboard, allowing resolution in minutes not hours. Natural language search and conversation assistant enables business users to ask questions and receive answers using business terminology your team understands, rather than IT technical jargon. - Track, trace and analyze - Provide IT specialist with in-depth reporting capabilities to monitor and track incoming and outgoing B2B transactions, while alerting you to failures and unexpected events in real-time so you can rapidly identify and resolve issues.
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Barracuda Managed XDR is the comprehensive next-generation cybersecurity solution that protects organizations of all sizes against today’s ever-evolving threat landscape. Barracuda Managed XDR is a fully managed service instantly augmenting an organization’s IT staff, identifying signal amidst noise, and reducing time-to-respond from days to seconds. The solution features advanced Barracuda AI analytics, SIEM, SOAR, and enterprise grade threat intelligence from 11+ billion IOCs and 1000+ ML-enriched detection rules aligned to the MITRE ATT&CK framework. Ingesting trillions of events across endpoints, servers, cloud, email, and firewalls, Barracuda Managed XDR detects, responds to, and eliminates cyberthreats in real time across the attack lifecycle. An ‘open’ XDR solution, Barracuda Managed XDR integrates with an organization’s existing technology, ensuring a smooth deployment while enhancing security posture and operational efficiency. Barracuda Managed XDR is powered by Barracuda’s 24/7/365 global SOC, featuring five specialized expert-level teams delivering best-in-class SLAs and proactive real-time threat detection and response.
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Llama 3.2 3B Instruct is a 3-billion parameter multilingual large language model developed by Meta, designed to excel in conversational AI applications. It leverages an optimized transformer architecture and has been fine-tuned using supervised learning and reinforcement learning with human feedback to enhance its performance in generating contextually relevant and coherent responses. Key Features and Functionality: - Multilingual Proficiency: Supports multiple languages, enabling seamless interactions across diverse linguistic contexts. - Optimized Transformer Architecture: Utilizes an advanced transformer design to improve efficiency and response quality. - Fine-Tuned Training: Employs supervised fine-tuning and reinforcement learning with human feedback to enhance conversational abilities. - Versatile Applications: Suitable for tasks such as agentic retrieval, summarization, assistant-like chat applications, knowledge retrieval, and query or prompt rewriting. Primary Value and User Solutions: Llama 3.2 3B Instruct addresses the need for a robust and efficient language model capable of handling complex conversational tasks across multiple languages. Its optimized architecture and fine-tuned training process ensure high-quality, contextually appropriate responses, making it an invaluable tool for developers and organizations seeking to implement advanced AI-driven communication solutions.
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Megatron-LM is an advanced framework developed by NVIDIA for training large-scale transformer-based language models. It is designed to efficiently handle models with hundreds of billions of parameters by leveraging both model and data parallelism. Key Features and Functionality: - Scalability: Supports training models ranging from 2 billion to 462 billion parameters across thousands of GPUs, achieving up to 47% Model FLOP Utilization (MFU) on H100 clusters. - Parallelism Techniques: Employs tensor parallelism, pipeline parallelism, and data parallelism to distribute computations effectively, enabling efficient training of massive models. - Mixed Precision Training: Supports FP16, BF16, and FP8 mixed precision training to enhance performance and reduce memory usage. - Advanced Optimizations: Incorporates features like FlashAttention for faster attention computation and activation checkpointing to manage memory efficiently during training. - Model Support: Provides pre-configured training scripts for various models, including GPT, LLaMA, DeepSeek, and Qwen, facilitating quick experimentation and deployment. Primary Value and Problem Solving: Megatron-LM addresses the challenges associated with training extremely large language models by offering a scalable and efficient framework. Its advanced parallelism strategies and performance optimizations enable researchers and developers to train state-of-the-art models on large datasets without compromising on speed or resource utilization. This capability is crucial for advancing natural language processing applications and developing more sophisticated AI systems.
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Cyera is the world’s leading AI-native data security platform. Its platform gives organizations a complete view of where their data lives, how it’s used, and how to keep it safe, so they can reduce risk and unlock the full value of their data, wherever it is. Backed by more than $1.3 billion in funding from top-tier investors including Accel, Coatue, Cyberstarts, Georgian, Lightspeed, and Sequoia, Cyera’s unified data security platform helps businesses discover, secure, and leverage their most valuable asset - data - and eliminate blind spots, cut alert noise, and protect sensitive information across the cloud, SaaS, databases, AI ecosystems, and on-premise environments. Recent innovations like Cyera’s Omni DLP extend this platform with adaptive, AI-native data loss protection, bringing real-time intelligence and contextual understanding to how data moves and is used across the enterprise.