Artificial Intelligence for Business Applications

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Intelligent Automation

Intelligent automation (IA), sometimes called cognitive automation, is the use of automation technologies—artificial intelligence (AI), business process management (BPM) —to streamline and scale decision-making across organizations.

Learning Machine

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Big data

Big data is the set of technologies created to store, analyse and manage this bulk data, a macro-tool created to identify patterns in the chaos of this explosion in information in order to design smart solutions.

Tools and frameworks for AI solutions

About Us

We empower innovators to shape the future through the adoption of AI and Data-driven solutions

NeronesAI is a consulting company focused on delivering cutting-edge AI and Data-driven solutions.

We are here to show you how you can improve your businesses using advanced Artificial Intelligence and data technologies.

We detect the roadblock in your data flows, determine whether and what kind of data are needed to solve a given problem and implement solutions that smoothly cooperate with your existing software.

We grow when you grow.

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What we offer

Artificial intelligence will help everyone succeed.

NeronesAI Team consists of experienced professionals able to cover all data-related areas. You don’t need to know what solutions will solve your business problem, just tell us more about the problem, and we will find the right solutions

Data Engineering

Design and build pipelines to transform and transport data into a format where it can be readily used for business analysis, data science, or machine learning applications.

NLP

Machine learning dynamics coupled with natural language processing allows a computer to understand, analyze, and simulate human language.

Prediction System

The purpose of prediction in machine learning is to project a probable data set that relates back to the original data.

Data & Analytics

When you can understand how your data and analytics enable better business results, you’re positioned to tap into their full power – and to take your business where it’s never been before.

Object Tracking

Object tracking involves an algorithm tracking the movement of a target object, and predicting the position and other relevant information about the objects in the image or video.

Automations

The right tools to minimize and streamline work can make running an efficient business easier. Businesses can use AI automation to reduce workloads and take care of customers.

Why Choose Us

With great power comes great productivity.

Smart Solutions

We provide you with smart solutions for automating your business processes which in turn increases and boosts the business outcomes. Our bespoke solutions bring about substantial results in AI/ML leveraging.

Certified Expert

CAIPi’s Artificial Intelligence Professional (AIP™) and Certified Associate in Artificial Intelligence (CAAI™)

24/7 Support

If you need assistance, Live Chat is the fastest option to reach us. For complex issues that need additional research or escalation but are not time-sensitive, you can file a case online.

Thriving in the Digital Age: Why AI is Essential for Business Success

Essential for modern business, AI empowers organizations with scalable automation, data-driven decision-making, and a competitive edge in the dynamic marketplace.

Meet our Leaders

What they say

Francois Champenois COO & Co-Founder

AI Visionary Shares Bold Predictions: Unveiling the Future of Technology with NAI Team.

Arthur Guiol CEO & Co-Founder

Charting the AI Frontier: Expert Strategies for Business Transformation !

Mathieu Vajou CTO/CISO & Co-Founder

Harnessing the Power of AI for Compliance Data Protection.

FAQ

Frequently Ask Questions

All you need to know about AI Consulting

Artificial Intelligence (AI) is an area of computer science that focuses on the creation of intelligent machines which “think” and react like humans.

The main goal of AI technology is to imitate the behavior of an intelligent human being.

Computers need to learn how to respond to particular actions with the use of algorithms and historical data. Then, artificial intelligence creates a propensity model which starts making predictions.

44% of organizations have reported cost savings as a result of AI implementation.

  1. Take the time to understand what artificial intelligence is.
  2. Analyze what problems your company is facing, which could be solved with the help of AI technology.
  3. Use AI consulting services to analyze your ideas and choose the best AI solution to solve your problems
  4. Prepare your company details

AI-driven prediction and decision making

Given the economic situation that has changed so rapidly in the world as a result of the pandemic, entrepreneurs will be even more interested in AI-based forecasts and decision-making.

It is safe to expect that the main areas that will particularly benefit from AI-driven business forecasting are sales departments, medical diagnostic applications, inventory optimization, and demand and workforce planning.

With AI-driven tools, businesses can make effective decisions based on accurate, data-driven information. Entrepreneurs can better identify business opportunities and understand customer needs and behavioral patterns.

AI-powered chatbots

Chatbots are already a technologically advanced solution that most of us use or at least notice every day. Conversational AI (in other words, AI-based chatbots) will take the next step in the nearest future.

What are the main advantages of AI chatbots? In short:

  • personalized customer experience,
  • better range,
  • increased responsiveness,
  • significant improvement in the automation of customer service.

Conversational AI uses machine learning and NLP (Natural Language Processing) to:

  • Understand what we (humans) are saying.
  • Give us the support we need to communicate on a human level that feels almost natural.

If you don’t have your own team of AI experts, leave that to the specialists. AI consultants will integrate AI solutions with your internal systems and make sure everything works perfectly.

There are numerous different programming languages that could be used to build AI solutions.

The most popular ones are Python, Java, Prolog, C++, Lisp.

Fraud

The threat of cybercrime is becoming more and more dangerous every year as customers use digital transactions. It is an opportunity to steal their financial information as well as personal information. The more transactions are carried out on a daily basis, the more difficult it is for companies to ensure the security of every single transaction. AI solutions can help you solve this problem.

Customer service

Artificial Intelligence technology is widely used in customer support to offer customers the best service. Thanks to artificial intelligence, your company can be available to customers 24 hours a day, 7 days a week, without the need for human assistance. Customers have a better experience and your business saves valuable time.

Personalized experience

Personalized shopping is one of the most important aspects that increase customer loyalty. AI technology has found a solution to offer a personalized approach to customers who shop online. Product recommendation engines are one of the many AI-driven solutions that can help you retain customers and increase your revenue.

Data analysis

Today, companies collect more data about their customers than ever before. Unfortunately, it doesn’t make sense without data analysis. AI-based software can help your business process unstructured data and turn it into useful information about current trends, customer needs, etc.

AI technology uses both structured and unstructured data. Artificial Intelligence database is a combination of data warehousing, advanced analytics, and visualizations in an in-memory database.

AI databases have incredible abilities, they can ingest, explore, analyze, and visualize fast-moving, complex data at the same time within milliseconds. Connecting particular databases depends on particular situations – for more information contact an AI consultant.

Let’s take a look at different forms of AI systems. We can divide them into seven stages.

Stage 1: Reactive machines

This is the oldest form of artificial intelligence systems. It has very limited capabilities – one of the reasons for that is their lack of memory-based functionality. It means that they don’t have the ability to “learn” from their actions.

Stage 2: Limited memory machines

This AI system has the functionality of a reactive machine and additionally is able to learn from historical data. This way, it can make accurate decisions. Most existing AI applications known today are under this category.

Stage 3: Theory of mind

Theory of mind AI is a work in progress. Researchers are working on this next level of AI systems that will be able to truly understand human needs. How? Thanks to analyzing human needs, emotions, beliefs, and thought processes.

Stage 4: Self-aware AI

It is a stage of AI development that for now is only hypothetical. The main concept behind it is artificial intelligence that has evolved to be so similar to the human brain that it has developed self-awareness.

Stage 5: Artificial narrow intelligence

This type of AI represents all of the existing AI. Artificial narrow intelligence can only perform a specific task autonomously using human-like capabilities. These machines can do only what they are programmed to do.

Stage 6: Artificial general intelligence

This stage presents an ability of an AI to learn, perceive, understand, and function exactly like a human being. Once we reach this stage, we will be able to significantly cut down the time needed to train models.

Stage 7: Artificial superintelligence

That would be the peak of AI research. Artificial superintelligence would become the most capable form of intelligence on earth. It would not only replicate the intelligence of humans but it would be better at everything because of overwhelmingly greater memory, faster data processing and analysis, and decision-making capabilities.

But so far, we have nothing to worry about. Artificial superintelligence is only an idea at this point.

A one-time investment in AI will be more cost-effective than hiring a full-time worker, as AI can automate labor-intensive processes without harm to quality.