Daisee was founded in 2017 by technology entrepreneur Richard Kimber. Richard's vision was to create a world-leading AI software company offering significant value to clients by blending commercial best practice and data science to create intelligent products that learn and adapt.
Daisee Raises $8.8 million
Daisee raises $8.8 million to develop a speech analytics tool geared towards call centres. The inspiration for the company name, Daisee, came from an acronym that stood for ‘Deep Artificial Intelligence Software for Enterprise Ecosystems”. Daisee had so many other positive connotations and that it ended up with its own identity
Daisee Launches v1.0.0
Daisee launches to the international marketplace. Their software produces a world-first automated, programmable QA Scorecard™ after applying AI and Natural Language Processing (NLP) to analyse, categorise and deliver deep insight into customer voice interactions.
Daisee's first customer joins utilising the world's first automated programmable QA Scorecard™
Launch of the Automated Script Adherence feature
Script Adherence measures elements of the call to ensure that the agent has stated required information within the call for Compliance and Regulatory protection of the customer.
Launch of the Team View feature
Team View provides team leaders, coaches, and supervisors with an overview of their complete teams performance and activity on one dashboard. This enables them to spend significantly less time scoring interactions and more time delivering engaging, data-driven feedback to agents.
Launch of the Issue Remediation Workflow functionality
Issue Remediation Workflow automatically triages low-scoring, high-risk calls for operational personnel to review within the Programmable Scorecard™
Microsoft Co-sell Ready
The partnership with Microsoft enables customers to easily access Daisee through its availability through the Microsoft Azure Marketplace.
Launch of Agent View
Agent View expands the Daisee platform allowing agents to view their own performance and activity data. This includes team comparison over time across the three key themes of communication, compliance, and conduct enabling agents the autonomy to reflect and review their activity.