Professional software development and ML services

As a Machine Learning development company, we combine our expertise with software development, data analytics, visualisation and consulting support to ensure efficiency, safety and assistance to deliver end-to-end solutions. We create Machine Learning solutions using supervised, unsupervised and reinforcement learning to help you optimise your processes and enhance your products.

What we do – check out our Machine Learning services

Predictive Analytics

Mobile apps are expected to generate $935 billion in revenue by 2023 with more than 30,000 new apps released on App Store and Play Store every month. Make sure your application stands out from the competition – customize your product to guarantee it is second to none and watch your profits grow! Select from among our mobile, web, or cross-platform app development services for the best results.

Churn Prediction

This is a part of predictive analytics that helps to answer a specific question: which customers end their relationship with a company (or stop using the product) and why? In other words, churn prediction lets you pinpoint when users are about to stop using your services before they do so. It becomes a massive asset when it comes to increasing customer retention. Thanks to churn prediction, you can learn what are the pain points related to your product or services, and find the right way to improve them.

Customer Analytics

Learning user behaviour and needs is crucial when it comes to digital businesses. Customer Analytics combines predictive analytics and customer segmentation to improve communication with customers and increase profitability as a result. We make it possible for companies to gain insights about the needs of a specific client segment and target tailored, direct marketing to their customers. When your selected user base is given the right message at the right time, you’ll see your conversion rates grow steadily.

Text Analytics

Text Analytics is used to translate large amounts of unstructured text into machine interpretable, quantitative data to speed up and automate all text-based processes. We can apply natural language processing methods to help you with all kinds of text, including documents, social media posts, surveys and chatbot conversations. One of the most popular applications of Text Analytics is automatic topic detection and sentiment analysis, which is particularly helpful when it comes to understanding your userbase’s needs.

Recommendation Systems

Not quite sure if your idea meets the latest market tendencies? Our product strategy team can take care of that thanks to in-depth market research and expert consulting services. Need to create an engaging yet intuitive solution that will enchant your audience? Our UX/UI designs captivate users from the first glance! Or we can carry out a series of personalised workshops to help you finalise the vision of your product in accordance with market needs – you name it!

Artificial Neural Networks (ANN) and Deep Learning (DL)

We harness most of the available Artificial Intelligence options to give you a solution you can be truly satisfied with. Neural Network-based solutions can find complex patterns in data that would otherwise remain hidden. We apply Artificial Neural Networks and Deep Learning solutions for image, character and speech recognition, where other Machine Learning methods are not applicable or efficient enough, in order to provide you with a seamless digital product that will leave your competitors far behind.

 

10+

years in remote
software development
 

150+

digital solutions
delivered

90%

of all projects
conducted remotely

Why should you use Machine Learning in your business?

Here are a few examples of how Machine Learning engineering can leverage cutting-edge techniques to help you solve complex business challenges and stay ahead of the competitors

Boosted sales revenue

The use of Machine Learning solutions can keep your conversion rates and sales growing while also reducing costs at the same time. Increase revenue results thanks to a better understanding of shopper needs, a more personalised user experience and effective marketing campaigns that make for satisfied customers.

Reduced operating costs

By limiting time-consuming human involvement with tasks that can be automated, operating expenses can be significantly reduced. Additionally, machine learning solutions help to detect unusual or unauthorised bank transactions, as well as identify and limit fraudulent insurance claims and loan applications that can put company finances at risk.

Increased operations speed

Automation of administrative tasks and client management systems reduce staff involvement. More effective customer service, detection of fake news, preventing cyberbullying and removing offensive comments in social media can be done using text analytics for instant and deepened interactions with customers and users.

Exploring unexploited areas

Harness the power of Machine Learning in a way that will benefit your business the most. Face detection and recognition, as well as attracting video-on-demand viewers based on their personalised interests are some examples of possibilities that can be brought to your company with the implementation of Machine Learning solutions.

Ready to create your ML Solution? Contact us!

How digitisation transforms industries

Wherever there is enough data available along with a business justification, Machine Learning automatically translates different data types into information and actionable knowledge to support your business management.

  • Image Classification and Tagging
  • Natural Language Understanding
  • Speech Recognition
  • Speech to Text Conversion
  • Fraud Detection
  • Customer Retention
 
  • Recommendation Engines
  • Churn Prediction
  • Targeted Marketing
  • Processes automation
  • IoT – Internet of Things

Flip through our latest projects

Natural Products Store
NPO is committed to providing the best natural & renewable resourced products that can be sourced by Australian manufacturers.
E-Commerce
Estorespace simplifies the routine of ordering products, buying or selling the products online.
Real Estate
This site is deisgned & developed to help people to find Rental properties with a single click.

Our tech stack

Data Processing

  • Python
  • Amazon SageMaker
  • TensorFlow
  • Keras
  • Pandas

Data storage

  • BigQuery
  • Delta Lake
  • PostgreSQL

Machine Learning

  • Amazon SageMaker
  • TensorFlow
  • Keras
  • Pandas

NLP

  • Tesseract
 

Visualisation

  • Google Data Studio
  • Power BI

Our development Process

Scoping & estimation

Understanding your idea and needs

First things first! We identify the scope of your project and take our time to understand your product idea and business needs. This includes discussing the potential features, tech solutions and time required to deliver them. Thanks to that, we can give you a general development quotation and schedule.

Scoping & estimation

Workshops & preparation

Sharpening your vision and discussing the details

We want to make sure your idea turns into a booming success. To help you choose the best strategy and sharpen your vision, we put together a session of Data, Product or Strategy workshops – whatever best fits your needs. At the end of this phase, we have wireframes of your app and the first design drafts, we’ve gathered development requirements, and prepared the basic documentation of the project. All set!

Workshops & preparation

Design & development

Bringing your application idea into reality

Time to get to work! Once the project starts, we complete the designs and begin working on your application. The length of this phase depends on the app size and complexity. It usually takes us 3 months to create a fully-functional MVP—a minimum viable product ready to be released to the market.

Design & development

Product release

Introducing your product to the market

Time to shine! As soon as your product is finished, we take care of the deployment and release. Timing is crucial here—we make sure that every individual part of the system is released on schedule and works perfectly, without any downtime. If it’s a mobile app, we take care of the app store listings as well. Once your application is live, we provide ongoing support.

Product release

Maintenance & support

Taking good care of your product

The fate of your app is in your hands! If you decide that your app needs extra features or changes, great. We start working right away, all the while supporting the existing version. However, if you decide you want to transfer the project to your in-house team, we help you plan the process and make sure it goes smoothly.

Maintenance & support

Custom Machine Learning solution development

Are you struggling to find a solution to solve your complex business questions? Choose our custom AI-based services. We combine Machine Learning software development with data analytics, visualisation and consulting support to provide you with comprehensive insights.

What is there to gain? By exploring unexploited or previously unavailable analytical areas, we can help you to boost your business performance and stay ahead of the competitors. We will provide you with a complete solution, from assistance in goal setting and refinement all the way to visualisation and reporting solutions. Our fit-for-purpose approach leverages state-of-the-art methods and adapts them to make sure they do exactly what you need.

Want to know more about Machine Learning?

Does Machine Learning sound confusing to you? Don’t worry, pick a question and we will provide you with a brief answer!

Machine Learning (ML) automatically recognises complex, previously unknown and useful information in all types of data. In the ML process, a model learns by looking for patterns hidden within given data. The more data there is, the more accurately the model resembles the real process. Additionally, by adjusting model parameters we can further improve its performance. Having an adequate model built, we can then generalise its application and make predictions about fresh data.

There are two common types of ML tasks. Firstly, classification that predicts output based on given data. This can be used, for example, for a credit scoring or product dement prediction. The second one type clustering that assigns similar objects together, which makes it a perfect solution for customer or user segmentation.

This is an iterative process of building Machine Learning solutions in a pipeline. Generally speaking, it consists of the following steps: data wrangling, model building and making predictions. The model is a simplified representation of a modeled process. The data phase includes data collection, data exploration, feature engineering, and splitting data into training and evaluation sets. After that, models are built, evaluated, and their performance is improved by hyperparameter tuning. With the model deployed, we can make predictions using new data. The last phase in the project lifecycle is model maintenance and support.

Features or variables are measurable characteristics of the object (like a product or a customer) and are a basic input building block of all datasets. Based on them, prediction or clustering is performed. During the feature engineering process, new features can be obtained from raw features with the aim to improve an algorithm’s performance.

Natural Language Processing (NLP) is an automatic manipulation and understanding of written or spoken text. It intersects such fields as linguistics, artificial intelligence and machine learning.

Recommendation Systems are algorithms used for suggesting relevant content or products for users or shoppers. Recommendations are generated on user-item attribute similarities.

Predictive Analytics models in business applications use patterns found in historical data to identify future risks and opportunities. Apart from machine learning techniques, predictive analytics also encompasses statistics and data mining. One of its well-known applications is credit scoring used in the financial sector.

Deep Learning (DL) relates to a subgroup of Artificial Neural Networks (ANN) that have more than 3 layers and therefore can extract higher-level features. ANN are a part of Artificial Intelligence that solve complex and non-linear problems by mimicking animal neuron network behaviour. DL systems are self-teaching and able to filter information through multiple hidden layers in order to resemble human brain processes with an even higher accuracy. It is an implementation of artificial intelligence and can be used e.g. for automatic machine translation, image classification, voice recognition or self-driving cars.

Although ML can be applied almost everywhere, there are some limitations we have to be aware of. It requires a large amount of high-quality data to perform well and deliver reliable solutions. There is always some bias as we are working only on an available subset of the data that might not fully represent the modelled process. There is also an ethical dilemma with a responsibility for the outcome of ML-based decisions (e.g. a self-driving car accident). In some cases, a simple interpretability of modelling outcomes may not be possible.

What industries can use Machine Learning?

Let’s choose the best technology for your business

Already know what tech stack you want to use in your next app? Great! Still not quite sure? Let us advise you on the best solution for your unique case.

Android

Create a seamless mobile product for android services.

IOS

Stay ahead of the game with a custom IOS Application.

Cross-Platforms

Save time & stretch your budget with cross-platforms applicaation development.

Frontend

Your app will look & feel like no other with our frontend development.

Backend

Bring the most complex app idea to your life with our backend app development.

Artificial Intelligence

Reach new business opportunities with Al and Machine Learning services.

Want to talk about your project?