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Machine Learning Consulting Services

Transform your organization with machine learning. Find hidden business patterns and automate operations with machine learning consulting services.

5+

years of AI expertise

40+

clients worldwide

150+

in-house employees

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Our machine learning services

Seize the future with our ML consulting expertise and software development strength.

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    Consulting

    Want to introduce an AI platform but don’t know where to start?

    Our data scientists will find out how to step up your company with ML. Try our machine learning consulting services.

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    Development

    Have a specific ML project in mind?

    We cover all phases of data mining (CRISP-DM). We cover all phases of data mining (CRISP-DM). From business understanding and data collection to modeling and deployment.

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    Integration

    Interested in adding 3rd-party ML to your business processes?

    We’ll integrate any ML model into your workflow, on your service, mobile device, etc.

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    Outstaffing

    Need extra employees on your ML project?

    We’ll quickly provide machine learning experts to augment your team.

Our signature case studies

Get cost estimation for our ML development services

Just answer a few questions for us to understand your business needs.

Machine learning consulting

Struggling to leverage AI? As an experienced machine learning consulting company, we make it easy. Through custom development, R&D, and AI tools integration, our experts provide a complete AI solution. From understanding your business challenges to training your staff.

  • Business analysis

    • Getting a clear picture of your business challenges and requirements through interactive workshops, one-on-one interviews, and observing processes firsthand;
    • Pinpointing specific use cases where applying machine learning techniques could provide more value compared to traditional software solutions;
    • Evaluating your current technology landscape and infrastructure to understand what’s already in place;
    • Collaborating closely to clearly define both the functionality the solution needs to deliver, as well as other important non-functional requirements like performance, scalability, etc.;
    • Market research and business strategy.
  • Initial data analysis

    • Clearly outlining the characteristics and criteria for the ideal dataset to power AI solution;
    • Providing expertise to help identify and evaluate potential data sources to pull from;
    • Thoroughly examining the data available to ensure its quality, completeness, and fit for purpose;
    • Offering guidance on techniques to analyze the data, identify issues, and apply cleaning methods;
    • Lending a hand with tasks like intelligently filling in missing data or reducing high dimensions;
    • Designing an optimized series of steps to prepare and preprocess the data efficiently;
      Illuminating the optimal approach for establishing a smooth end-to-end data analysis workflow.
  • Product design

    • Recommending appropriate machine learning techniques and algorithms;
    • Helping choose the right technologies and tools;
    • Laying out the high-level architecture and components;
    • Guidance on designing an intuitive user interface;
    • Mapping out the development roadmap with milestones;
    • Developing testing strategies;
    • Advising on evaluating and measuring model performance;
    • Defining project objectives, deliverables, and timelines;
    • Competitor comparison;
    • R&D and proof-of-concept;
    • Technical specifications.
  • Building the machine learning model

    • Keeping a close eye on the data preparation steps to ensure the information going into the model is clean and properly formatted;
    • Providing expertise and advice during the training process to help the model effectively learn from the data;
    • Tracking milestones and checking in on how the development of the overall solution is progressing;
    • Making sure to establish best practices for implementing machine learning models;
    • Offering recommendations on security measures and compliance requirements to protect the model and any sensitive data.
  • Model integration & deployment

    • Crafting a well-thought-out plan for how and where to deploy the machine learning model;
    • Helping to smoothly integrate the model into your company’s existing software systems;
    • Ensuring the model can scale up or down as needed to handle fluctuations in demand within your target computing environment;
    • Putting measures in place to maintain the model’s speed, reliability, and security once deployed;
    • Verifying that all guidelines for properly integrating and testing the model have been followed.
  • Machine learning consultancy

    • Keeping a watchful eye on the machine learning model’s performance, promptly identifying any issues or hiccups along the way;
    • Offering guidance on when it’s time to refresh the model’s knowledge through retraining, preventing it from becoming outdated or stale;
    • Establishing a clear roadmap for continuous improvement, allowing the solution to evolve and adapt over time;
    • Providing ongoing training and support to users, empowering them to fully leverage the capabilities of the machine learning solution.

Other machine learning services

Aristek’s machine learning services turn data into insights, automate workflows, enable predictive maintenance, and integrate ML/AI design thinking to supercharge business performance.

  • Data mining

    Understand your data. Get insights and find hidden patterns.

    We sift through data to make sense of it:

    • Pattern recognition;
    • Anomaly detection;
    • Business recommendation based on your data.
  • Processes automation

    Free up time and resources.

    We’ll simplify your tasks and amplify the results:

    • Automation of manual tasks;
    • Data integration;
    • Smart rule-based automation based on your priorities;
    • Workflow optimization.
  • Maintenance

    Manage risks and predict outcomes.

    • Predictive maintenance. Anticipate machinery downtime and prevent breakdowns.
  • Design-thinking

    Introduce ML/ AI to your organization.

    We’ll find ways to improve your organization with ML:

    • Business understanding;
    • Data understanding.

Contact our ML expert

Solve complex problems and stay ahead of the curve with our machine learning consulting company.

We’re experts in building these ML models

Unlock the power of AI with customized machine learning projects. Our experts in NLP, computer vision, predictive analytics, recommendations, and anomaly detection are ready to optimize your business.

ML models we work with (into the tech stack)

We’ll help you find and develop the right model:

  • Classical ML models

    • Linear regression
    • Logistic regression
    • Naive bayes
    • Decision trees
    • Random forest
    • Support vector machines (SVM)
    • K-nearest neighbors (KNN)
  • Gradient boosting models

    • XGBoost
    • LightGBM
    • CatBoost
  • Dimensionality reduction

    • Principal component analysis (PCA)
    • t-distributed stochastic neighbor embedding (t-SNE)
  • Neural networks

    • Recurrent neural networks (RNN)
    • Long short-term memory (LSTM)
    • Autoencoders, Generative adversarial networks (GAN)

Aristek’s experts are ready to help you

Let us assess your needs, data infrastructure and objectives to determine where ML can deliver real business impact.

ML applications in industries we serve

Streamline success with machine learning. Our 6-step CRISP-DM process uses your data to build customized models, integrating seamlessly to solve challenges. Skip the complexity – our experts tailor the optimal ML solution for you.

  • eLearning

    ML can revolutionize education by personalizing learning experiences, improving student outcomes, and optimizing educational resources. Educators will find at-risk students and intervene early on.

    Machine learning can also automate administrative tasks like grading and scheduling.

  • Logistics & supply chain management

    We provide machine learning systems to assist logistics firms in improving traffic management, warehouse and route optimization, passenger safety, and fleet productivity. Our solutions include traffic monitoring, driver support, precise delay forecasts, and predictive maintenance.

  • Healthcare

    Our team of experts helps healthcare organizations improve diagnostics, treatment, and patient experience through visual and speech correction assistants, medical image analysis, and virtual nursing.

  • eCommerce & retail

    Machine learning solutions will help your company control risks, forecast retailer demand and personalize advertising, pricing, and services.

    Our solutions enable fraud detection, compliance with safety regulations at enterprises, real-time consumer engagements through chatbots, and sophisticated search engines.

  • Veterinary

    Machine learning (ML) is revolutionizing veterinary medicine by analyzing large data sets, making accurate predictions, and developing personalized treatment plans, resulting in improved outcomes and better overall pet care.

  • Any other industry

    In fact any industry can benefit from using modern technology such as ML. Even if you haven’t found your domain here, don’t hesitate to contact us. Our consultants will discuss your needs and come up with different options.

  • Machine learning and AI will add trillions of dollars into the economy

    McKinsey

How ML development works

Streamline success with machine learning. Our 6-step CRISP-DM process uses your data to build customized models, integrating seamlessly to solve challenges. Skip the complexity – our experts tailor the optimal ML solution for you.

  • 1

    Business understanding

    We’ll grasp your goals and challenges to find out how machine learning will help you.

  • 2

    Data understanding

    Learn the strengths and limitations of your data.

  • 3

    Data preparation

    We will help gather, clean, and organize your data for analysis. The better your data, the better the ML model.

  • 4

    Modeling

    We’ll build and train your machine learning model.

  • 5

    Evaluation

    We’ll check how accurate the model is and how well it tackles your business challenges.

  • 6

    Deployment

    We’ll integrate the model into your business.

Get a free consultation

Get started now by filling out the form to schedule a free one-hour consultation with an Aristek ML specialist.

Technologies stack

This is the list of technologies we use to provide high-quality Machine Learning development services.

AI Platform
Amazon Lex
Amazon Polly
Amazon SageMaker
Amazon Transcribe
Azure Cognitive Search
Azure Machine Learning
Databricks
Core ML
Create ML
Detectron2
Hugging face
Keras
OpenCV
Prophet
PySpark
PyTorch
scikit-learn
TensorFlow
Amazon Redshift
Cassandra
ClickHouse
Microsoft SQL Server
MySQL
Oracle
PostgreSQL
Snowflake

Does my business need ML?

There are a lot of issues that can be solved with Machine Learning. Specific and complicated cases require a custom approach. Yet, for more common ones you don’t need to reinvent the wheel. See how:

  • Boost employee productivity

    Automate tedious tasks and distribute the workload of employees with natural language processing and computer vision.

  • Save money on maintenance

    Provide predictive monitoring and preventive maintenance.

  • Improve production efficiency

    Optimize the process using demand forecasting and predictive modeling.

  • Enhance customer experience

    Deal with customer requests more quickly.

  • Optimize warehouse flow

    Estimate stock liquidity and forecast sales volumes with predictive analytics.

  • Personalize customer approach

    Send personalized offers using customer behavior data analytics.

  • Transcend programming constraints

    When old-school development is too tedious and expensive, machine learning will help.

Types of partnership

  • Consulting & digital transformation

    We guide strategy to execution.

  • Research

    We build concepts, prototypes, and test hypotheses.

  • Full-cycle data science (CRISP DM)

    We turn your data into insights.

Frequently Asked Questions

Machine learning is a subset of artificial intelligence that develops algorithms and models to enable computers to learn and make predictions without explicit programming, with applications in image and speech recognition, recommendation systems, and autonomous vehicles.

Machine learning consulting involves guiding organizations through the process of implementing advanced algorithms and systems that can learn and adapt on their own over time. Rather than following strictly static programming rules, these self-learning models analyze data patterns and insights to continuously improve their decision-making capabilities.

The core purpose of machine learning consulting is to help businesses harness the power of these intelligent, self-teaching solutions in a way that enhances operational efficiency and enables more informed decision-making processes. Experienced consultants assess an organization’s specific needs and requirements, then design and deploy customized machine learning models to meet those objectives.

By leveraging self-learning algorithms, companies can automate and optimize complex tasks, uncover hidden insights from large data sets, and stay agile by adapting to new patterns as they emerge. Machine learning consulting essentially provides the expertise to strategically utilize these cutting-edge technologies, giving businesses a significant competitive edge in their respective industries.

Deep learning, a subset of machine learning, uses artificial neural networks to learn and make decisions without explicit programming. It uses multiple layers to process complex patterns, making it effective in tasks like image recognition and speech recognition.

There are several types of machine learning algorithms, each with its own unique approach and purpose. Some common types include supervised learning, unsupervised learning, reinforcement learning, and semi-supervised learning.

Supervised learning algorithms use labeled data to train models and make predictions, while unsupervised learning algorithms analyze unlabeled data to find patterns and relationships. Reinforcement learning algorithms learn through trial and error by interacting with an environment, while semi-supervised learning algorithms combine labeled and unlabeled data for training.

Machine learning development services rely on the availability and quality of data, as well as the performance of machine learning algorithms.

Issues such as insufficient data or computational limitations can affect the accuracy and reliability of machine learning models.

It is essential to work closely with a machine learning development company to address any potential issues and optimize the performance of the models.

Outsourcing machine learning development services and cooperating with a machine learning development company can provide access to a team of experienced data scientists and machine learning experts without the need for in-house hiring and training.

This can save time and resources while benefiting from specialized skills, cutting-edge solutions, and industry best practices.

Yes, our machine learning development company specializes in data analysis and can help your business to better understand and utilize your data.

We have a team of experienced data scientists who are skilled in developing and implementing machine learning algorithms. With our expertise, we can assist you in uncovering valuable insights from your data and creating predictive models that can optimize your business strategies.

The cost of our ML services can vary depending on the complexity of the project and the amount of data involved. Other factors that can influence the cost include the level of customization required and the specific functionalities desired.

Get in touch with our experts to get accurate cost estimates tailored to your project’s requirements.

More questions left?

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