What we do?

About Us

Helps businesses make decisions

One of the most compelling reasons to collect data for businesses is that data can help a company make better decisions. Decisiveness can be a useful trait for a business, because it can help the company make tough decisions more quickly and understand the repercussions or benefits of decisions. 

Improves customer satisfaction

Customer satisfaction can help improve customer loyalty and trust, which may increase sales and customer referrals. With raw data, businesses can study the effects of their efforts on customer satisfaction and learn where they can improve. This can help the company create a more pleasing, customized experience for each customer, helping to separate that business from the competition. 


Increases revenue and profits

Data may also help a company increase their revenue and profits by making the company more efficient, providing key insights into operations and customer satisfaction and helping to improve certain processes. Data can help businesses measure whether certain actions, products or services are profitable and where their greatest expenses might be. Identifying expenses is often the key to increasing profits because businesses can reduce those expenses and keep more of the revenue they earn. Raw data helps the company identify where it can trim expenses, increase efforts and earn more revenue.

Helps with problem-solving

Data also plays a critical role in problem-solving for company leaders. With an abundance of data, company leaders can identify and address key problems and monitor the effects of proposed solutions.

Cloud Computing Solutions

Cloud environments have not only revolutionized IT, but how businesses operate. Embracing cloud computing solutions can be challenging. AISS is uniquely positioned to help you define and implement smart cloud software strategy and optimize your cloud environment.

Deep & Machine learning

We at AISS offer our customers machine learning systems that make human tasks more efficient and accurate. Based on the client’s history and background, the deep learning systems can offer contextual and evidence-based reasoning by engaging in dialogue with humans. 

Robotic Process Automation

Robotic process automation (RPA), also known as software robotics, uses automation technologies to mimic back-office tasks of human workers, such as extracting data, filling in forms, moving files, et cetera.