Dialogflow
Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.
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Cognigy.AI
NiCE Cognigy delivers AI that works – fast, human, and built for real-world scale. As part of NiCE, a global leader in customer experience technology, we combine Generative and Conversational AI with orchestration, tools, and enterprise integrations to power Agentic AI.
The result? Smarter automation, better service, and instant resolution across every channel.
NiCE Cognigy’s AI Agents Supercharge Your Customer Service
-Industry-specific pre-trained AI Agents
-Multilingual call and chat support (100+ languages)
-Seamless integration with existing enterprise systems
-Leverages memory and context for hyper-personalized interactions
-Absorbs enterprise knowledge to accurately answer any customer query
-Real-time assistance and actionable service insights for human agents
Business Impact for our Customers:
-30% CSAT improvement
-70% AHT reduction
-99.5% Faster response time
-99% Routing accuracy
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Intervo.ai
Intervo is an open source, enterprise-grade voice and chat AI agent platform designed to automate real-time customer interactions across voice and text channels. It allows businesses to build, train, and deploy custom agents in minutes without code; you define the agent’s purpose, upload domain knowledge (documents, files), choose a voice engine (e.g., ElevenLabs, Azure), and publish it to embedded channels. Its agents support use cases like lead qualification, customer support, AI receptionist/scheduling, interactive product assistance, and internal help agents (for HR, IT, etc.). They can integrate with telephony via Twilio, connect to multiple LLM backends (OpenAI, Claude, Gemini), orchestrate AI workflows, and embed on websites as widgets. It emphasizes scalability, compliance, and flexibility, letting organizations embed context-aware conversational agents that understand complex queries, route calls, and interact via speech or chat.
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Strands Agents
Strands Agents is a lightweight, code-first framework for building AI agents, designed to simplify agent development by leveraging the reasoning capabilities of modern language models. Developers can create agents with just a few lines of Python code, defining a prompt and a list of tools, allowing the agent to autonomously execute complex tasks. It supports multiple model providers, including Amazon Bedrock (defaulting to Claude 3.7 Sonnet), Anthropic, OpenAI, and more, offering flexibility in model selection. Strands Agents features a customizable agent loop that processes user input, decides on tool usage, executes tools, and generates responses, supporting both streaming and non-streaming interactions. Built-in tools and the ability to add custom tools enable agents to perform a wide range of actions beyond simple text generation.
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