Ratings and Reviews 9 Ratings
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What is kama.ai?
kama.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.
What is ASAPP?
Finally, a groundbreaking technology is available to greatly improve the performance of your customer experience team. By implementing the ASAPP customer experience performance (CXP) platform, your organization can significantly enhance both efficiency and customer satisfaction ratings at the same time. Traditional, inflexible systems often obstruct the improvement of customer experience performance. The continuous layering of technology has not successfully reduced the number of agents, cut costs, or generated the levels of customer delight that were anticipated. Our cutting-edge solution is designed specifically to enable your agents to provide superior support to your customers. While some vendors assert that bots can effectively replace human agents, the truth is that they have yet to fully fulfill that promise, and mere agent assistance alone is not enough to meet customer demands. Through advanced machine learning, this platform assimilates the strategies employed by your most effective agents, offering essential insights into their methods for addressing customer needs. It goes beyond mere conversation; the intricate dynamics and sequence of words and actions create what we term the unique Agent Journeysâ„¢. Ultimately, embracing this technology can revolutionize your customer service framework, fostering not only more streamlined operations but also a deeper sense of loyalty among your customers. Additionally, the implementation of such innovative tools can lead to a more engaged workforce, eager to enhance the overall customer journey.
Integrations Supported
Amazon Connect
Amazon Web Services (AWS)
Facebook Messenger
Genesys Cloud CX
Microsoft SharePoint
Operata
Salesforce
Twilio
Integrations Supported
Amazon Connect
Amazon Web Services (AWS)
Facebook Messenger
Genesys Cloud CX
Microsoft SharePoint
Operata
Salesforce
Twilio
API Availability
Has API
API Availability
Has API
Pricing Information
$399 per month (plus setup)
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
kama.ai
Date Founded
2014
Company Location
Canada
Company Website
kama.ai/
Company Facts
Organization Name
ASAPP
Date Founded
2014
Company Location
United States
Company Website
www.asapp.com
Categories and Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
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 Marketing
Appointment Scheduling
Audience Segmentation
Chatbot
Email Automation
Group Messaging
Human Handover
Lead Distribution
Lead Qualification
Mobile Messaging
Multi-Channel Communication
Product Recommendations
Video Chat
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
Categories and Features
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
Customer Experience
Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis