Acies helps organizations with digital transformation by utilizing a unified framework of technology, data, insights, design, and strategy.Using proprietary frameworks, the company reviews the operations of a business against best-in-class practices and identifies opportunities for digitalization at the onset of a partnership or at periodicintervals. They then help create a digital transformation roadmap for the business that identifies opportunities for growth, strategies to increase operational efficiency and mitigate risks. With a combination of cutting-edge technologies like AI, RPA, and blockchain, they help companies automate their processes, develop dashboards/cockpits with integrated alert systems and develop mobile apps to seamlessly integrate and enhance customer experience. It leverages its clients enterprise data into actionable intelligence for their tactical as well as strategic business decisions.

AI/ML

Analytics

Apps

Information Technology

IT Services

Acies

Acies' headquarters in Chicago, IL, United States

This department is responsible for designing, developing, and maintaining software applications.

Software Development

This department focuses on analyzing and interpreting complex data to drive informed decision-making and strategic initiatives.

Data Analytics

The Data Science Team at Acies focuses on harnessing advanced analytics and machine learning techniques to transform raw data into actionable insights. By collaborating with other teams, they design and implement data-driven solutions that aid in identifying opportunities for digital transformation, optimizing operational efficiencies, and mitigating risks for clients. Their work includes developing predictive models, creating dashboards, and leveraging AI technologies to support strategic decision-making across the organization.

Data Science Team

This department focuses on data engineering, data science, and analytics to drive informed decision-making and strategic insights.

Data Analytics and Engineering

This department focuses on the design, development, and maintenance of data infrastructure and processing systems.

Data Engineering

This department focuses on managing employee relations, talent acquisition, and organizational development.

People (17)

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Other teams

Data Analytics

Data Science Team

Data Analytics and Engineering

Data Engineering

People Operations