Your trusted AI development partner

Artificial intelligence (AI) increases sales, saves costs, and improves user experience. Our AI development experts will help you use your data to improve efficiency and make smarter decisions.

How can AI help your business?

AI technology has various use cases among different industries. Customer service, marketing and sales, management, security –  all of these can benefit from AI development. With Machine Learning, Deep Learning, Natural Language Processing, smart search engines, or predictive models supporting the decision-making processes, AI will change business on a large scale.

Our artificial intelligence development team will help you identify the areas that can benefit from artificial intelligence solutions the most and implement them to make sure you get the profits you want.

What does AI offer?

Machine learning

Machine learning allows computers to determine rules on how data changes without explicitly programming those rules:

  • study available data and analyze clients’ behaviors to discover patterns
  • make predictions and decisions based on historical records
  • discover similarities or anomalies in data

Predictive analytics

Predictive analytics provides assessment on future trends. Using the available historical data, it:

  • reduces churn by identifying the clients who want to leave
  • increases sales by suggesting what the client wants to buy and determines how much they will buy
  • identifies employees who are likely to leave the company
  • predicts demand for resources, product, and inventory
  • identifies the risk of breakdowns, failures, malfunctions, and errors

Recommendation engines

Recommendation engines can be utilized in a variety of areas, including movies, music, books or other products. These engines will:

  • personalize offers basing on client’s earlier choices and reviews
  • suggest other videos, songs, books etc. that the client will like
  • increase conversion rate
  • improve customer experience
  • increase retention and loyalty

Natural language processing

NLP lets companies better use language data thanks to effective processing of large amounts of voice or text messages. Natural language processing:

  • extracts specific data from long texts (e.g. articles, books, bills)
  • automatically processes invoices, orders, contracts
  • identifies the writer’s emotions and recognizes hate speech
  • improves customer experience with chatbots and virtual assistants

Your first steps with AI development

While it’s a fact that AI has various use cases among different industries and brings tangible results, it’s also difficult to immediately decide how to use it. With Deep Learning, Machine Learning, Natural Language Processing, smart search engines or predictive models supporting the decision-making processes, AI can transform your business but before you implement AI in your company, you need to be well-prepared.

At Neoteric, we support our clients not only with code but also with our business expertise. You will get algorithms that will work for you. Work not only technically – also bring benefits. That’s why we came up with the idea of AI Sprint – your first step towards successful AI implementation. It’s a combination of workshops and proof-of-concept to help you verify the feasibility of AI implementation in your company using real business case and real data.

What is an AI Sprint?

The goal of the AI Sprint is to prove to you or your executives that AI can enhance parts of your business, all that in a very limited time. The AI Sprint consists of 2-day workshops with our team, and a Proof of Concept of a model that is chosen during the workshops. At the end, you will have a real-life model trained on your data, helping your specific case. It can actually be used in your everyday work and serve as a base for further AI development.

How it works

You may not be sure how to use AI to take the biggest advantage of it – this is the time when we will help you find the exact area to which AI will bring the best benefits, and answer all of your questions. As a part of the workshops, we map out a chosen process in your company and we point out the important decisions made within such a process. The next step is to identify important information on the basis of which these decisions are made and to select several predictive models that will predict future values of data essential for the decisions. Finally, we identify the availability of the needed data, as well as the time and costs necessary to obtain the missing information. This helps us choose the model to prepare under AI Sprint so that it brings the best possible benefits with the minimum amount of work on your side.

When the model is ready, we sum up the work and present what information is needed, how to interpret the metrics and the results of the model, and how to use them in your current work. We also explain how to develop systems in your company in order to implement further predictive models and to get the most out of AI implementation.

What’s in it for you?

The AI Sprint is a small step towards successful AI implementation, not a leap into the unknown. The workshops help you understand the potential of predictive models for your business, see the value of data, and plan out the improvement of processes within your company with minimal risk due to extremely short development time and minimal investment The PoC will show you real, not simulated, results, and give you a taste of the benefits full AI implementation brings.

Your first steps with AI development

Day 1 requirements

Day 1:
Requirements

The goal of the first day of the workshop is to select predictive models that can bring the most value into a process that we want to support by means of predictive analysis. We finish the first day with your OKR, process map, and a list of predictive models along with data required to train them.

Day 2 reqirements

Day 2:
Data and systems

The second day focuses on data. During the meeting, we’ll cover the overview of data needed for models, a map of systems and interfaces, data pipeline design, and other technical issues. We close the day with a work plan that lists the tasks each person involved in the workshop has to carry out.

How to prepare for AI workshops

During the Sprint, we will be creating a model that gives us a quick win. In order to choose what that quick win is, we need to have clearly defined business goals that we will be measuring periodically. Before we begin the workshops, you can prepare the answers to questions regarding your goals, context for the model, data, and your expectations towards the model. Here are some of the questions you’ll be asked:

  • What is the one most important thing we should do in your company?
  • What is your goal and how can it be measured?
  • What is the budget for your project?
  • What information do you need to make good decisions within a process?
  • What data about your customers do you collect?
  • How will the model’s predictions be used in your everyday work?

How we approach AI development

AI Sprint: workshops

    AI development starts with comprehensive workshops. We help you articulate your goals and analyze your needs. We choose internal processes that can be improved with AI, identify the available data, and select the right model. We help you form requirements for the model, and we plan the work for the PoC.

AI Sprint: Proof-of-concept

    At this stage, we use data collected by your company and prepare a predictive model based on the data. The development of the model takes about 2 weeks. When the model is ready, we present what parameters we managed to achieve, how to generate predictions, and how to interpret them.

Full AI implementation

    You've validated the idea of AI in your company, now it's time to go company-wide. We integrate AI with your systems and support you in further steps. We continuously measure how accurate predictions the models generate and what their impact on your daily business is.

AI Sprint: workshops

AI Sprint: Proof-of-concept

Full AI implementation

How our customers use artificial intelligence to improve their business

SaaS Manager logo

SaaS Manager:

SaaS Manager uses artificial intelligence to analyze big data, provide high-quality customer service and build brand loyalty. Not only does it reduce churn by successfully identifying the clients who want to leave, but it also helps create personalized offers that encourage the clients to stay and boost customer satisfaction.

Soapbox logo

SoapBox:

SoapBox provides you with a smarter way to support your business: through AI. They use artificial intelligence in customer service: they “teach” the system how best agents work and how customers interact with them. Thanks to that, the system understands the context of customers’ inquiries and it can provide personalized experience on its own.

AppOrchid logo

AppOrchid:

AppOrchid creates easy-to-use, dynamic apps that utilize artificial intelligence to help businesses operate smarter. They use the company’s data and correlate it with data gathered from IoT, weather, traffic conditions, and social media to discover new patterns and insights about the business.

RapidSOS logo

RapidSOS:
rapidsos

RapidSOS is a life-saving technology that links connected devices to 911 and first responders. Their emergency API allows creating call flow between devices, emergency services, and other third parties to reduce the complexity of getting life-saving data. RapidSOS’ analytics engine analyzes huge volumes of data to provide understanding of when, where, and how emergencies occur and predict their occurence.

Language learning application - sample logo

Language Learning Application:

A good language app teaches you to speak a language, not only write in it. The language learning app we were working on uses speech recognition to understand what the user is saying and determine whether the phrase is correct so it can provide the user with instant feedback.