Effective data management is crucial for enterprises to leverage the full potential of AI. However, managing and optimizing data workflows can be a daunting task. Fortunately, San Francisco-based startup Altimate AI has introduced its new DataMates technology, which brings the power of agentic AI to enterprise data operations.
DataMates: Virtual Teammates for Overworked Enterprise Data Teams
DataMates act as autonomous members of data teams, performing tasks that are often time-consuming and repetitive for humans. These tasks include data model drafting, automated documentation, test generation and execution, code review and optimization, and performance analysis and tuning. DataMates use agentic AI to pull context from the company’s entire data stack, allowing them to execute tasks with a level of nuance typically associated with human experts.
The DataMates system is built on a proprietary framework that combines multiple language models, function calling mechanisms, and a custom-built knowledge graph. This architecture enables DataMates to perform a wide range of tasks, including:
Ambient AI for Continuous Monitoring and Optimization
Altimate AI is also integrating a form of ambient AI into its DataMates technology. This ambient AI layer acts as a continuous, intelligent monitoring system that analyzes the data infrastructure and provides proactive suggestions to the data team. This allows the data team to focus on higher-level tasks while the ambient AI handles ongoing optimization in the background.
The promise of Altimate AI has attracted numerous enterprises as well as a noteworthy enterprise investor, John Chambers, the former CEO of Cisco. Chambers believes that Altimate AI has a differentiated solution in a high-growth market, focusing on improving data engineer and data scientist productivity.