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kama.aikama.ai is a Responsible AI Agent platform that provides organizations with a more accurate, accountable, and safe way to use AI. It supports training, compliance guidance, internal support, customer service, and specialized community needs. Unlike generic GenAI tools that create answers probabilistically, kama.ai combines deterministic Knowledge Graph AI with governed Generative AI and Trusted Collections. Trusted Collections is a RAG-based technology that helps reduce hallucinations on the generative side while giving AI Agents a reliable source of approved, accurate, and brand-safe information. This solution is a composite technology, specifically called GenAI’s Sober Second Mind™. In this case the sober element is the deterministic AI which guides and orchestrates the AI Agents to ensure hallucinations, and information sourced from nefarious sites, does NOT creep into your data or answers. kama.ai is designed for situations where answers need to be accurate, traceable, brand-safe, and aligned with approved source material. Human experts and Knowledge Managers can curate content, review AI-generated drafts, manage knowledge domains, and improve responses over time. This creates a governed-in-advance approach to AI, instead of relying on corrections after something has already gone wrong. kama.ai is especially well suited for knowledge-heavy organizations, training programs, compliance environments, Indigenous and community-focused initiatives, HR support, education, research, and other use cases where trusted and brand-safe information matters. By focusing on Responsible AI use and delivery, kama.ai helps organizations adopt AI more readily. This improves access to knowledge, reduces repetitive workloads, and provides more consistent support to the people who rely on their expertise. Think kama.ai for trusted AI, governed knowledge, and answers your organization is willing to stand behind.
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ForethoughtForethought stands out as the leading generative AI solution for customer support, serving as an always-on team member at your disposal. With its training on your specific data sets and adherence to stringent security measures, Forethought facilitates seamless interactions through AI, streamlining processes to enhance response times, resolution rates, and overall customer satisfaction at every touchpoint. - Incorporate a round-the-clock AI agent to alleviate your team's workload, allowing them to concentrate on providing outstanding support. - Forethought uniquely processes both historical and current ticket data tailored to your business needs, ensuring a highly personalized customer experience. - We prioritize not just compliance with privacy regulations, but aim to redefine them, guaranteeing that your data remains protected throughout all interactions. Additionally, our commitment to continuous improvement means we are always refining our systems to better serve you and your clientele.
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Dialpad SupportMost contact centers are stitched together from tools that don't talk to each other — a phone system here, a chatbot there, a support queue that loses context the moment it changes hands. Dialpad Contact Center replaces that patchwork with one AI-native platform where voice, digital, and human agents work from the same intelligence. The difference is agentic action. Rather than summarizing a call after the fact, Dialpad's AI agents reason through the issue in real time and carry it to resolution on their own — no handoff required unless one actually adds value. Voice and data stop living in separate silos, so every channel feeds the same connected picture of the customer. That connected picture gets smarter with use. Dialpad is already past 775 million AI recaps, and every conversation adds to a base of intelligence that keeps improving resolution speed, agent output, and customer satisfaction over time. It's all run through Dialpad's Guardian layer, which keeps AI behavior secure, auditable, and within the boundaries enterprises expect. The result: up to 80% of tickets resolved without a person touching them, and a support team that spends its time on the cases that actually need human judgment — intelligence doing the routine work, people handling what matters. Skeptical an AI contact center can deliver on that? Dialpad's Proving Ground lets you pilot and measure real ROI before you commit, rather than adopting on promises alone.
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CTMCTM is an AI-powered conversation intelligence, call tracking, and customer engagement platform developed to help organizations connect marketing activities with customer interactions and revenue generation. Originally known as CallTrackingMetrics, the platform combines marketing attribution, communication management, lead nurturing, and contact center capabilities within a unified system. Its call tracking functionality uses dynamic number insertion and dedicated tracking numbers to identify which advertisements, keywords, websites, and campaigns generate inbound phone calls. The software also captures text messages, web form submissions, and chat interactions to provide visibility into customer engagement across multiple communication channels. Conversation intelligence tools use artificial intelligence to transcribe recordings, summarize discussions, evaluate customer sentiment, identify important topics, and score interactions. Its AskAI functionality allows users to investigate conversation data and extract insights about customer needs, objections, and purchasing behavior. CTM VoiceAI provides automated voice agents that can answer calls, qualify leads, schedule appointments, and direct callers to appropriate employees or departments. Intelligent routing capabilities distribute incoming inquiries based on factors such as location, availability, agent skills, customer history, and custom business rules. Workflow automation enables organizations to trigger follow-up messages, internal notifications, CRM updates, and advertising conversion events using customer interaction data. Reporting tools include real-time activity dashboards, campaign performance analysis, advertising return on investment, agent productivity monitoring, and customizable reports for businesses and marketing agencies. CTM supports integrations with Google Ads, Google Analytics, HubSpot, Salesforce, and other business applications while providing APIs, webhooks, and white-label options.
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SearchUnifySearchUnify is an enterprise Agentic AI platform that connects fragmented enterprise knowledge and deploys autonomous AI agents to handle customer support operations from first contact to resolution. At its core, the platform is powered by SearchUnifyFRAGâ„¢ (Federated Retrieval Augmented Generation), Agentic RAG, and the SCORE (Contextual Relevance Engine) framework, enabling accurate, grounded responses drawn from unified enterprise data. The product suite spans five core tools. Cognitive Search retrieves contextually relevant answers across distributed knowledge sources. SearchUnifyGPTâ„¢ generates cited AI responses at every support touchpoint. SUVA, the virtual assistant, handles multi-turn conversations autonomously. Knowbler supports knowledge capture, structuring, and surfacing at the point of need. Agent Helper delivers next-best-action recommendations to support agents during live case resolution. Extending these capabilities, the Agentic AI Suite comprises eight AI agents: AI Support Agent for self-service resolution, AI SupportPlus Agent for autonomous CRM ticket handling, AI Classification Agent for case tagging and routing, AI Escalation Manager for escalation risk prediction, AI Knowledge Agent for automated content creation and gap detection, AI Competency Agent for L2 technical workflow resolution, AI Agent Partner for real-time agent guidance, and AI Case Quality Auditor for evaluating every closed case. SearchUnify supports BYOLLM for LLM flexibility, Model Context Protocol (MCP) for secure system connectivity, and a governance layer covering role-based access control, PII masking, and ISO 27001, HIPAA, and SOC 2 compliance. The platform connects with 100+ enterprise tools including Salesforce, Zendesk, and ServiceNow.
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QEvalManual call center QA covers 1 to 5% of interactions. The other 95% goes unreviewed. QEval closes that gap with AI-powered quality assurance that scores every voice, chat, and email interaction automatically. The platform combines speech analytics, sentiment analysis, compliance monitoring, keyword detection, automated evaluation workflows, agent coaching tools, gamification, and 110+ analytics dashboards. Compliance includes PCI, HIPAA, and GDPR at 98% accuracy with real-time violation alerts. The scoring engine is trained on 138M+ contact center interactions and delivers 94% classification accuracy. Organizations deploy QEval in 30 days, three to four times faster than typical quality monitoring platforms. Etech Global Services developed QEval through 20+ years of operating contact centers for Fortune 500 clients in healthcare, telecom, retail, banking, and BPO. ISO 27001, SOC 2, PCI-DSS certified. Built for QA managers, CX directors, and operations leaders replacing manual QA. Additional capabilities include call recording and playback, screen capture for desktop activity review, customizable evaluation scorecards, QA calibration sessions to ensure scoring consistency across evaluators, and dispute management workflows for agents to challenge scores. The platform supports omnichannel quality monitoring with unified scoring across phone, chat, email, and social media interactions. Supervisors access real-time dashboards to monitor live calls and intervene when needed. Automated alerts flag compliance risks, negative sentiment spikes, and performance drops instantly. Role-based permissions, audit logging, and end-to-end encryption meet enterprise security requirements. QEval connects with CRM, ACD, workforce management, and telephony systems through API integrations. Multi-site and multilingual support enables centralized QA management across geographically distributed contact center operations.
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LM-Kit.NETLM-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.
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BirdeyeBirdeye stands out as the leading platform for managing reputation, social media, and customer experiences for local brands and businesses with multiple locations. More than 150,000 enterprises utilize Birdeye’s AI-driven solution to enhance their online visibility, boost their reputation, simplify social media management, engage through various digital platforms, and provide an exceptional customer experience that leaves a lasting impression. This powerful platform is designed to meet the unique needs of businesses striving for excellence in customer interactions.
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FathomFathom is an AI notetaking and meeting intelligence platform designed to help individuals and teams capture conversations, summarize key points, and move work forward faster. The platform records meetings, generates accurate transcripts, creates instant summaries, identifies action items, and sends updates so users can stay present during calls. Fathom supports both bot-based meeting capture and bot-free capture through its desktop app, giving users more flexibility in how they record meetings. Its AI summaries are available immediately after calls and can be tailored to team workflows and priorities. Ask Fathom lets users search across meeting history and ask questions about decisions, commitments, customer signals, risks, opportunities, and next steps. The platform also helps teams monitor key topics so important moments are easier to identify across conversations. Fathom is useful for customer calls, sales meetings, marketing discussions, customer success reviews, strategy sessions, internal syncs, and team workflows. Its integrations connect meeting notes and insights with tools such as Google Meet, Zoom, Microsoft Teams, Gmail, Slack, Salesforce, HubSpot, Notion, Asana, ChatGPT, Claude, Zapier, public APIs, and MCP workflows. Teams can use Fathom to create shared visibility across meetings so decisions and follow-through are not lost between calls. The platform supports enterprise requirements with SOC 2 Type II, GDPR, HIPAA compliance, SSO, and SCIM. By combining AI meeting notes, bot-free capture, transcripts, summaries, action items, topic monitoring, search, integrations, and compliance, Fathom helps teams reduce admin work and turn conversations into measurable progress.
What is Uniphore?
Enhancing customer interactions through the integration of Conversational AI, Natural Language Processing (NLP), and Robotic Process Automation (RPA) can significantly elevate customer satisfaction while increasing agent efficiency. By implementing an omnichannel, AI-driven intelligent virtual assistant (IVA), businesses can streamline customer engagement and encourage greater self-service and automation across diverse platforms such as IVR, web, and mobile. The U-Self Serve feature effectively redirects routine queries away from expensive human agents by leveraging Conversational AI capabilities. To further bolster customer trust and reduce the risk of fraud in contact centers, it is essential to implement seamless and continuous agent verification using voiceprints. Additionally, consistently monitoring agent identification throughout their shifts and providing real-time alerts to supervisors in case of any discrepancies is vital for maintaining security. Utilizing AI-powered, real-time call transcription not only aids in delivering in-call notifications and support but also automates the agent's after-call work (ACW) summaries and dispositions, resulting in improved agent productivity and a notable decrease in time spent on ACW tasks. Consequently, this streamlined method enhances the accuracy of records and cultivates a more efficient and effective service environment, ultimately leading to a more satisfying experience for customers. By embracing these advanced technologies, organizations can create a robust framework that promotes both customer engagement and operational excellence.
What is Dialogflow?
Dialogflow, developed by Google Cloud, serves as a platform for natural language understanding, enabling the creation and integration of conversational interfaces for various applications, including mobile and web platforms. This tool simplifies the process of embedding various user interfaces, such as bots or interactive voice response systems, into applications. With Dialogflow, businesses can establish innovative methods for customer engagement with their products. It is capable of processing customer inputs in diverse formats, including both text and audio, such as voice calls. Additionally, Dialogflow can generate responses in text format or through synthetic speech, enhancing user interaction. The platform offers specialized services through Dialogflow CX and ES, specifically designed for chatbots and contact center applications. Furthermore, the Agent Assist feature is available to support human agents in contact centers, providing them with real-time suggestions while they engage with customers, ultimately improving service efficiency and customer satisfaction. By leveraging these capabilities, companies can significantly enhance the overall customer experience.
Integrations Supported
Avaya Aura
BotCore
BotStar
CEDEX Technologies
Clienk
CodeBaby
Dialpad Connect
EBM
Expertflow Contact Center
Google Cloud Platform
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
New customers receive a $600 credit for a no charge trial of Dialogflow CX that can be cancelled at any time. This credit activates automatically upon using Dialogflow CX for the first time and expires after 12 months. This is a Dialogflow-specific extension of the Google Cloud no charge trial.
Dialogflow also offers pay as you go plans.
Dialogflow also offers pay as you go plans.
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Online Training
On-Site Training
Training Options
Documentation Hub
On-Site Training
Company Facts
Organization Name
Uniphore
Company Location
India
Company Website
www.uniphore.com
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/dialogflow
Categories and Features
Chatbot
Not specified
Conversation Intelligence
Not specified
Conversational AI
Not specified
Conversational Support
Not specified
Categories and Features
Agentic AI
Not specified
AI Agent Builders
Not specified
AI Agents
Not specified
AI Development
Not specified
AI Tools
Not specified
AI Voice Agents
Not specified
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Artificial Intelligence (AI) APIs
Not specified
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Conversation Intelligence
Not specified
Conversational AI
Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant
Conversational Support
Not specified
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Voice Bot
Not specified