Contact us
Our team would love to hear from you.
Machine Learning Development Services
As a subset of artificial intelligence (AI), machine learning (ML) uses massive quantities of data and sophisticated algorithms enabling machines to learn automatically. With such a powerful tool, companies can create smart workflows that allow employees to invest their energy in projects that require empathy and creativity.
Having hands-on experience in data science, EffectiveSoft offers outstanding machine learning services to help enterprises overcome critical business challenges. Our data-driven solutions empower companies to optimize operations, make smart business decisions, and streamline customer experience while staying ahead of the competition.
solutions
Our machine learning services
ML model engineering
Relying on the nature of your business and your requirements, we create a precise algorithm and train machine learning models with your data to achieve top results. Our machine learning development company delivers ready-to-use software that can be implemented right away.
ML model optimization
All types of ML models must undergo a process of optimization over time. Using advanced methods and techniques, we can refit your models, increasing their accuracy, improving performance, and adding new features to help you maximize their value.
MLOps
Our ML engineers use MLOps methodologies that encompass the entire ML lifecycle. These methodologies put ML models into operation, removing obstacles in business ML adoption and enabling IT teams to manage ML projects without compromising model quality, performance, and security.
MLaaS
Machine Learning as a service is getting lots of attention due to the benefits it offers to ML professionals. We can help you open the door to the world of machine learning or expand existing machine learning initiatives without investing in your in-house competencies.
Exploratory data analysis
Our machine learning development agency provides solutions that help search and analyze large, heterogeneous, and ever-changing data sets to identify patterns, discover trends, and extract valuable information without investing in your own data mining competencies.
Deep learning development
To deliver precise results, achieve superior functionality, and improve efficiency, data engineers at EffectiveSoft develop real-time deep learning algorithms. Such solutions are inspired by the human brain and can identify complex patterns in various types of data to generate accurate insights and predictions.
tools
What we work with
Computer vision
Our engineers leverage ML and deep learning technologies to build smart algorithms for pattern recognition and identification in images and videos. We implement ML and computer vision in agriculture, healthcare, ecommerce, finance, and other industries.
Neural network development
We develop and integrate neural networks of various complexities to ensure multiple processes can function without human intervention.
Our ML developers design AI-powered voice and speech recognition systems to help businesses integrate speech-to-text and text-to-speech solutions.
Natural language processing (NLP)
We create cutting-edge NLP software for decoding human languages that has myriad business applications, from chatbots to virtual assistants.
Predictive analytics
Our developers and data scientists build predictive algorithmic systems designed to anticipate trends, machinery failures, user behavior, and more.
Big Data analytics
Our ML-based AI solutions use Big Data analytics to help with identifying market trends, hidden correlations, anomalies, and more. We help you take advantage of Big Data analytics in healthcare, fintech, education, transportation, and other industries.
software
ML software we create
Chatbots
AI-powered and ML-based chatbots simulate human conversation via text messages, voice chats, or both. With such solutions, users can ask advanced, open-ended questions and receive natural responses. Although they are difficult to create, self-learning chatbots are more efficient than ordinary ones due to the accumulation of knowledge from previous interactions with the user.
BI tools
The incorporation of machine learning algorithms into BI tools makes BI more efficient at identifying hidden insights and automating the process of uncovering insights. Such solutions can greatly speed up workflow and free up analysts who can dedicate their time to higher-value tasks.
Fraud detection systems
Machine learning is widely leveraged for real-time fraud detection. Trained with historical data about the past, ML-based fraud detection systems can autonomously understand characteristic patterns of previous cases to identify anomalies and recognize fraud once it recurs.
Machine learning optimizes IoT by reducing bandwidth usage, saving power, and increasing a device’s ability to make smart decisions. With massive amounts of data and the use of machine learning algorithms to analyze and interpret them, such industries as manufacturing, automotive, healthcare, etc. can enhance their decision-making process and drive innovation.
Recommender systems
Widely used in various industries from retail to streaming platforms, recommender systems are designed to analyze the preferences of users and predict what they might like in the future. Such systems not only help clients decide on a product or content, but also help businesses increase loyalty and metrics.
Demand forecasting
Based on past experiences, demand forecasting solutions estimate and predict future trends and demand for a product or service. Such software empowers businesses to spin data into valuable insights to make more informed decisions about company direction, pricing policy, hiring, and more.
ML industries
Our key industries
-
AI and ML algorithms can enhance the predictive capabilities of medicine, as well as create and improve new therapeutic approaches to treating a variety of diseases. This is especially important when developing software for medical image analysis. Machine learning helps solve a lot of challenges, from developing new drugs to calculating the cost of insurance. ML algorithms can identify abnormalities that would otherwise go unnoticed. This makes machine learning a huge contributor to the early detection of high-risk diseases.
-
Machine learning helps financial institutions analyze the creditworthiness of borrowers and predict credit risks. With AI and ML algorithms, a lending platform can determine the eligibility of applicants, assess credit risks, and analyze portfolios. Machine learning helps brokers and investors create robust strategies for algorithmic trading and make informed investment decisions. Machine learning models can estimate the value, growth, and performance of stocks or other assets.
-
Businesses use AI and ML to get to know their clients and provide them with personalized recommendations. With machine learning algorithms, it is possible to predict customer behavior, calculate their next acquisition, or suggest related products. In addition, based on past analytics, purchases can be planned and costs can be reduced. ML-based algorithms also help build long-term relationships with customers and bring back inactive ones, increasing retention rates.
-
Machine learning enables companies to enhance and automate a lot of business processes: purchasing, delivery, inventory and stock management, interaction with suppliers, loading and unloading, etc. Analyzing large data sets, AI and ML algorithms can calculate the best route, forecast warehouse occupancy for several months ahead, recognize images by analyzing labels on packaging or containers, and calculate transportation costs.
-
ML algorithms assist telecom network engineers with preventing churn and fraud, segmenting the client base, cross-selling, sending recommendations to subscribers and employees, and automating workforce management. Leveraging AI and ML, telecommunication companies can optimize their network to enhance customer experience, deliver business results, and drive ROI.
our advantages
Why choose EffectiveSoft
Technical skills
We have assembled a dedicated team of first-class analysts and engineers specializing in state-of-the-art technologies, including AI and ML.
Security
We ensure a high degree of security for our software solutions and protect them from hacking, data leaks, and other malicious actions.
Flexibility
We are always open to new ideas, which means that our clients can promptly make adjustments whenever it is necessary.
Transparency
With regular reporting and constant communication, our clients know everything about the development of their project.
Privacy
We care about the copyright and confidentiality of our clients, which is why we suggest they sign an NDA to ensure a high level of secrecy.
Cross-industry expertise
During the lifetime of our company, we have delivered hundreds of end-to-end solutions for various industries worldwide.
process
Our machine learning software development processes
6 steps of machine learning development
01
Business problem identification
You turn to us with an idea and we take on the preliminary work of studying your business goals, needs, and requirements, as well as your customers’ expectations to offer you a relevant solution.
02
Exploratory data analysis
Once the goal is set, we carry out an exploratory analysis. Our data analytics company reviews your current data infrastructure to summarize main characteristics, discover trends and patterns, spot anomalies, or check assumptions.
03
Data preparation
After the analysis, we start preparing the collected raw data to run it through ML algorithms. At this stage, we clean, label, classify, and transform your data into a unified format.
04
Data modeling and evaluation
We select specific algorithms and design the architecture of your future ML solution, training numerous models to find the one that provides the most accurate results.
05
Implementation
When the design is in place, we engineer, integrate, test, and put your product into the world, so that you or your clients can start taking advantage of the machine learning technology in a real environment.
06
Monitoring and support
Your ML model is built, trained, tested, and deployed. This is only the beginning. We offer comprehensive ML model maintenance services to ensure the solution continues to perform as expected. Our engineers regularly monitor and tune the models to keep them up to date.
technologies
ML tech stack
F.A.Q. about Machine Learning
-
Artificial Intelligence uses and processes data to make decisions and predictions. This is the brain of the system and the very “intelligence” of machines. Meanwhile, machine learning is a subset of AI and cannot exist without it. Machine learning is used to create and train artificial intelligence.
-
ML algorithms within AI, as well as other AI-based applications allow systems not only to process data, but also to use it to perform tasks, create predictions, learn, automate routine processes, improve productivity, and more.
-
They are essential members of an ML team. These experts are responsible for the design and creation of software that can automate AI/ML models. They build a large-scale system that uses massive data sets to train algorithms designed to generate valuable insights and predictions. ML engineers manage the whole data science pipeline, from sourcing and preparing data to deploying models into the real world.
-
The success of ML implementation does not depend on the size of the company but on its proactivity. Often, small companies are afraid to turn to machine learning software development because of the cost, so this technology remains a buzzword. Meanwhile, they lose competitive advantages that would help them increase efficiency, automate workflow, and grow.
So the answer is yes, AI and ML suits a small company. The use of artificial intelligence and machine learning for small businesses goes a long way toward helping them cope with the shortage of skilled resources, reduce time on mundane tasks, improve services, enhance security, and more.
-
The cost of implementation of an ML project depends on the complexity of your solution. The best way to know exact numbers is to request a project estimate from our experts. But whatever the cost is, keep in mind the long-term profit the machine learning will bring.
STILL HAVE QUESTIONS?
Can’t find the answer you are looking for?
Contact us and we will get in touch with you shortly.
Tech stack
Technologies we use
Order an IT consultation
Fill out the form to receive a consultation and explore how we can assist you and your business.
What happens next?
- An expert contacts you shortly after having analyzed your business requirements.
- If required, we sign an NDA to ensure the highest privacy level.
- A Pre-Sales Manager submits a comprehensive project proposal. It may include estimates, timelines, lists of CVs, etc., for a particular situation.
- Now, we can launch the project.
