Artificial Intelligence
Services

Enhance your business decisions with our suite of AI products.

“AI is transforming the business landscape. Companies are becoming more efficient, informed, and secure.”

- Gjergj Camaj | CEO and Co-Founder of KineticAI

AI Services

Manufacturing

AI helps manufactures maintain a competitive edge by improving the way they do business.

Healthcare

AI offers numerous advantages over traditional data analysis and medical decision-making techniques.

Finance/Banking

AI helps the financial services industry act quickly by acting on, synthesizing, and transforming data.

Agriculture

AI helps the agriculture industry track and predict various factors which can lead to an increase in yields.

Supply Chain

AI helps businesses predict how resources should be used across an ever-growing number of internal and external sources.

Cybersecurity

AI helps businesses analyze their data for anomalies that may indicate malicious intent.

Be Efficient

Productivity2

Do more with less effort. Our intelligent solutions can help your business make faster decisions, reduce costs, and remain competitive. Allow your workforce to focus on scaling your business, not filling excel sheets.

Take control

Knowledge2

Complexity redefined. Lost in a sea of data? Our technology can provide insights to help you identify trends, make better predictions, and improve customer retention. Reduce complex data into easily digestible chunks of useful information.

Stay Secure

Saftey2

Humans are not machines, and that’s okay! Minimize human error by automating their tasks. Protect your business by using machine learning to identify and issues while your workforce is asleep. 

Manufacturing.

The manufacturing sector is facing significant changes due to rapid technological development. The sector is being forced to work smarter and operate more efficiently in order to remain competitive. The ability to compete can be maintained by identifying areas in need of improvement. Smart manufactuers with a data-driven edge are taking the lead. They are using sensors to gather latent data, collaborative robots to improve efficiency, and AI to transform information into actionable steps.

AI helps manufactures maintain a competitive edge. Smart manufacturers automate parts of their workforce by using AI in conjunction with robotics. Extend the longevity of your equipment by using predictive maintenance capabilities to monitor asset conditions and suggest inspections before there is a critical issue. Utilize AI-powered quality controls to minimize defects, increase output, and identify bottlenecks.

Healthcare.

The healthcare industry is being reshaped by the technology-driven economy. There are countless areas where assistive technologies are being applied to aid with diagnosis and treatment. The prevalence of siloed and dormant data means that there are valuable hidden insights that have yet to be understood. The key to unlocking this trove of data is by using emerging technologies. An in-depth understanding of patient data will lead to improved patient outcomes.

AI offers numerous advantages over traditional data analysis and medical decision-making techniques. By utilizing electronic health records (EHRs), predictive analytics, and clinical decision support tools, machine learning (ML) algorithms can hint at problem areas long before clinicians might have otherwise recognized the need to act. Patients are constantly at risk, but clinicians have limited time to address issues. AI works 24/7 to keep clinicians up to date on what matters by using predictive analytics and by monitoring patients using smart devices.

Finance.

The financial services industry contains a palpable amount of structured and unstructured data sets. The industry needs real-time access and comprehension of this data. Traditional predictive measures are not capable of scouring and interpreting the vast amounts of information held within the data. New innovations are needed for the industry to capitalize on the data revolution.

AI helps the financial services industry act quickly by acting on, synthesizing, and transforming data. By utilizing machine learning (ML), it becomes easier to identify anomalies, forecast trends, improve predictions, minimize risks, advise clients, and to react in real-time. Some use cases for AI software within this field include robo-advisors, robo-traders, chatbots, intelligent lending, and fraud detection.

Agriculture.

The labor-heavy agriculture industry is susceptible to a variety of environmental factors. These factors are hard to quantify and predict. New technologies are paving the way for improved risk management, automation, and efficiency. These new methods are helping the industry produce better yields and reduce labor costs. 

AI helps the agriculture industry track and predict various factors, such as weather or the spread of disease, on crop yields by using predictive analytics. Through the use of sensor data and AI, farmers can be provided with valuable insights regarding their soil, crops, and machines. This information can be used in conjunction with agricultural robots, to harvest crops at an optimal time and at a lesser cost than a human works force.

Supply Chain.

The rise of data volume and data complexity has impacted the way businesses manage their supply chain. What was once a linear supply chain path, is now a set of dynamic integrated networks, characterized by a continuous flow of information and analytics.  Companies are adapting a streamlined approach for supply chain management by using technology. 

AI helps businesses predict how resources should be used across an ever-growing number of internal and external sources. Through the use of cognitive and concurrent planning, businesses are provided with actionable insights that are improving efficiencies across their supply chains. Machine learning is being using to provide information on adjacent possibilities. AI can be used to understand the interconnected nature of sensor data, distribution, transportation, manufacturing, marketing, and sales.  

Cybersecurity.

The business world is experiencing an influx of new threats. The increasing dependence on technology for financial systems and mission-critical operations, means that cyber criminals are incentivized to find and exploit vulnerabilities. Further, they are using new technologies to enhance viruses and exploit systems while remaining undetected. It is difficult for businesses to keep up with new threats and vulnerabilities.

AI helps businesses analyze their data for anomalies that may indicate malicious intent. Not all organizations have large dedicated security teams, AI helps address this issue by actively scanning data and processes to ensure your business knows of a vulnerability or breach before it becomes an issue.

Get To The Next Level With AI

AI Products

Computer Vision

Computer vision analyzes and interprets any form of visual-based input. It can be used for object, scene reconstruction, object tracking, and optical flow.

Deep Learning

Deep Learning, a subset of machine learning, uses artificial neural networks to adapt and learn from large datasets. It can be used for classification, extraction, forecasting, speech recognition, text recognition, and anomaly detection.

Natural Language Processing

NLP enables contextual understanding of natural language. It can be used to automatically extract critical insights from copious amounts of structured and unstructured content.

Intelligent Agents & Chatbots

Intelligent agents automate routine tasks that take time away from other value-added activities. It can be used for customer interaction (chatbots), employee training and assistance, and customer service.

Machine Learning

Machine learning algorithms have the ability to learn without especially being programed. This field is being used to automate processes across industries. It can be used for patient diagnosis, fraud detection, inventory optimization, demand forecasting, intrusion detection, and research insights.

Generative Adversarial Networks

GANs utilize two neural nets that are in competition with one another. This method generates a variety of content automatically. It is used to produce computer generated graphics, realistic speech, increased image resolution, and image-to-image translation.

3D Vision

Create a real-time 3D area map of an environment. Artificial intelligences takes SLAM to the next level. This is used in augmented reality, self-driving cars, virtual reality, and UAVs.

Machine Automation

Machine automation is any information technology that is designed to control the work of machines. AI can be used in conjunction with machines to improve efficiency and increase autonomy.

Predictive Analytics

Predictive analytics includes a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future trends.

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