Asato AI provides a business observability platform designed to give CIOs total visibility and control over their enterprise data stack at scale. The solution uses AI-driven insights to optimize asset performance, proactively manage compliance risks, and identify cost-saving opportunities across SaaS applications and hardware. This platform enables IT teams to streamline operations, ensure regulatory adherence, and make data-driven decisions regarding technology investments.
Funding
$7.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
LBFounders
Product
Problem
CIOs and their teams are overwhelmed by the vast amounts of data generated by their IT infrastructure, lacking a way to extract meaningful intelligence for informed decision-making. This makes it difficult to understand the relationships between IT assets, identify risks, and optimize technology spending. The challenge lies in transforming disparate data into actionable insights that drive operational excellence.
Solution
Asato offers an AI-powered business observability platform that creates a knowledge graph of an organization's IT assets, providing CIOs with a comprehensive view of their technology landscape. The platform connects to existing IT, security, and financial systems to continuously discover and gather information about assets and events. By modeling, analyzing, and contextualizing data from different sources, Asato delivers descriptive, predictive, and prescriptive insights, enabling users to understand past and present performance, forecast future trends, and identify optimal courses of action. The platform tracks the impact of decisions, facilitating continuous learning and improvement in IT management.
Target Audience
Asato is designed for CIOs and IT leaders who need to optimize technology spending, expose and mitigate risks, and drive operational excellence across their organizations.
Features
- Connects to existing IT, security, and financial systems to build an asset knowledge graph.
- Continuously discovers and gathers information about assets and events in real-time.
- Reconciles, normalizes, and contextualizes data from disparate sources.
- Provides descriptive insights (lagging indicators) to understand past and present performance.
- Offers predictive insights (leading indicators) to forecast future trends and needs.
- Delivers prescriptive insights with AI-driven optimizations and anomaly detection.
- Tracks decisions and their outcomes to facilitate continuous learning and improvement.
- Customizable dashboards visualize the entire IT landscape, uncovering opportunities and risks.
- Virtual analyst answers questions by understanding the company’s context, assets, usage, and relationships.