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What is Koa?
Salesforce Koa marks the company's first CRM reasoning model specifically designed for Agentforce, leveraging the power of NVIDIA Nemotron and drawing from an extensive 27 years of Salesforce CRM knowledge to adeptly handle complex, multi-step tasks in enterprise settings. This model is built upon nearly three decades of CRM application expertise and has been further refined through training on a specialized synthetic dataset that mirrors genuine business workflows, processes, and compliance requirements. The training scenarios are meticulously designed to emulate the reasoning, tool usage, and decision-making strategies that Agentforce agents utilize throughout the customer journey, including critical activities such as lead generation, opportunity qualification, and service case resolution across more than 14 distinct industries. Koa is purpose-built for precise CRM functionalities and is evaluated using the Salesforce CRM Bench, which includes authentic workflows like opportunity updates, case routing, and follow-up scheduling. Salesforce reports that Koa delivers an 11% improvement in accuracy for choosing the right actions and recalls customer context with a reliability that is 2.1 times superior to earlier models. This groundbreaking methodology not only boosts operational efficiency but also greatly enhances the overall customer experience, making it a vital tool for businesses aiming to optimize their customer interactions. By integrating advanced reasoning capabilities, Koa positions itself as a transformative solution in the realm of customer relationship management.
What is Data Quality Sense?
Data Quality Sense (DQS) is an all-in-one application dedicated to data quality, tailored for Salesforce users by Tucario, allowing them to evaluate, monitor, and improve the reliability of their CRM data seamlessly within the Salesforce platform, eliminating the need for any data exports.
The DQS assesses data using six essential criteria — Completeness, Validity, Uniqueness, Consistency, Timeliness, and PII Detection — producing a detailed Data Quality Score at various hierarchies such as organization, object, and field levels. With its user-friendly no-code Definition Builder, which operates through a five-step wizard, administrators can easily set up rules, while automated scans keep the data scores updated, and Insight Studio provides insights into trends and the overall health of data fields.
Additionally, the application includes an automated PII detection feature that recognizes eight different formats, including Social Security Numbers, credit card information, IBANs, email addresses, IP addresses, and birth dates, helping organizations to pinpoint and protect sensitive data before any security incidents arise. As the necessity for tools like Agentforce and AI expands, DQS prepares your Salesforce data for optimal AI applications, underscoring the importance of data integrity in determining the effectiveness of AI agents.
This cutting-edge solution is conveniently available on the Salesforce AppExchange for users looking to enhance their data quality management. By prioritizing data security and quality, organizations can not only protect sensitive information but also maximize the potential of their CRM systems.
API Availability
API Availability
Pricing Information
Pricing not provided
Free Trial Offered?
Pricing Information
$1000
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
Training Options
Documentation Hub
Online Training
On-Site Training
Company Facts
Organization Name
Salesforce
Date Founded
1999
Company Location
United States
Company Website
www.salesforce.com/agentforce/koa/
Company Facts
Organization Name
Tucario
Date Founded
2025
Company Location
Poland
Company Website
dataqualitysense.com
Categories and Features
AI Models
Not specified
AI Reasoning Models
Not specified
Categories and Features
Data Quality
Not specified