With API.AI, you can create conversational scenarios within minutes, then build advanced dialogues to manage the conversation flow with the user.
Contact for Pricing
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
• Build voice and text based conversational apps
• On any platform
• In any location
• Across device
• 14+ supported languages
API.AI allows users to build brand-unique, natural language interactions for bots, applications, services, and devices. It features a Natural Language Understanding Tools to design unique conversation scenarios, design corresponding actions and analyze interactions with users.
Leverage predefined knowledge packages collected over several years, including encyclopaedic data, weather, news, booking, flight schedules, and much more. While the platform learns from examples provided by developers and conversations it has with end users to continuously improve user experience.
API.AI offers Conversation Support wherein users can switch seamlessly between conversation topics, while remembering where they left off for each one. Users can also leverage integrations with Alexa, Cortana and messaging platforms that include Facebook, Slack, Skype, Cisco Spark, Twilio SMS and much more.Users of API.AI can easily get started as they can create and deploy a conversational agent in a few days.
With API.AI, companies can create conversational scenarios within minutes and then build advanced dialogues to manage the conversation flow with the user. Once the agent is built, users can already integrate it with SDKs or use API.AI’s one-click integration modules. When a product is launched, it constantly improves with machine learning and can be updated in real-time based on user interactions.
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.