PixelCrayons PixelCrayons

India's Most Trusted Machine Learning Company


Our machine learning development company works on advanced frameworks like Apache Singa, Amazon ML, Azure ML Studio, Caffe, H2O, MLlib (Spark), etc. to ensure you get the best solutions.

  • 11500+
    Projects Launched
  • 16+
    Years Experience
  • 4800+
    Satisfied Customers
  • 97%+
    Client Retention

Helping Businesses Since 2004

We help companies drive business results, build breakthrough outcomes, and increase operational performance with exceptional Machine Learning Development. You can opt for Machine Learning as a service from us and multiply your business revenue.

  • Reduce Cost Upto 50%


    You can save up to 50% of the Cost of hiring in-house resources.

  • Finding Top IT Talents


    Get the possibility to work with the top 1% of machine learning consultants.

  • Enhanced Productivity


    Our machine learning development experts deliver advanced solutions that boost your efficiency.

  • Fill Gap in Your Skill Sets


    We have a high potential team having expertise in diverse technologies.

  • Quicker Time-to-Market


    Get perfect QA strategy, best-fit resources, & project management guidance.

  • Future-proof Solutions


    Get future-ready ML solutions created by using the most modern tools & technologies.

  • 90% Accurate Analysis


    Our experts do the proper analysis to assess your business performance and discover loopholes.

  • Innovation & Compete



  • Ensure Operation Agility


    Create a comprehensive solution with innovative technologies like cloud, AI, RPA, etc.

See What our Customers are Saying...



Mr. Nilo Quiroz, Wyzchef


Philip Hamichi, Eurowise


Nikhil, Proadviser


Martin Celler, Celler Angels


Bas Buys, Enter Baby Allant

Get Market-driven Machine Learning Services


  • Cognitive Insight

    Our Machine Learning experts speedily understand and translate the unstructured data deploying advanced machine learning and AI software development solutions. With machine learning solutions, we unravel patterns and trends to interpret clients’ demands and market requirements.

  • Cognitive Engagement

    Being one of the top Machine learning consulting companies, we address the customers’ incoming requests and questions about stock availability and product options, tech support, billing and account interactions, and escalating to human operators if necessary.

  • Cognitive Automation


  • Data Mining


  • Natural Language Processing


  • Robotic Process Automation


Ready to Get Started?


Machine Learning Languages

Whether it’s Python machine learning development from scratch or any other language in your existing system, our artificial intelligence and machine learning services and solution anticipates the output of the technology and provide the best possible advice on how to grow more with minimum investments. We, being the best Machine Learning development companies, do not settle for less.



  • R


Model Development

Relying on any 3rd party Machine Learning Development models by platform service providers, PixelCrayons trains, builds, deploys, and validates tailored solutions that discover patterns & learn from historical data and examples. Our Indian dedicated developers also fine-tune and train custom machine learning models according to specific business needs.

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What Can Machine Learning & Artificial Intelligence Do For You?


Connectivity Between Devices

Improve sales forecasting

Interpret customer data

Predict customer needs

Efficient transactional sales

Sales communication

ML for Finance

Detecting fraud

Underwriting loan/insurance

Algorithmic trading

Portfolio management

Sentiment/new analysis

Customer service.

ML for Marketing

Personalize mail campaigns

Precisely meet the customer’s requirements

Offer customized offers to customers

Analyze previous buying patterns

ML for Human Resources

Track and assess applicants.

Attract relevant talent

Detect attrition

Individual skill management



  • machine-learning-platforms

    Azure Machine Learning

    Azure Cognitive Services

    Language Understanding Intelligent Service

    Chatbot Framework


    Cloud Machine Learning Engine

    Cloud Vision API

    Cloud Natural Language

    Cloud Speech API DialogFlow


    Amazon Machine Learning

    Amazon Recognition Amazon Lex

    Amazon Polly

Our Process


  • 1

    Define your project’s scope with our Industry Experts

  • 2

    Select candidates for screening process

  • 3

    Take interview of selected candidates

  • 4

    Initiate project on-boarding & assign tasks

Engagement Models


Case Studies


View All

Frequently Asked Questions


Why should I choose PixelCrayons for machine learning services?

When you choose PixelCrayons, you select a 16+ years old perfect blend of excellence in technologies and services. The award-winning and ISO-certified PixelCrayons give you the following reasons to choose them for your Machine Learning projects.
• Strict Non-disclosure agreement
• AI-driven task monitoring
• Data-driven insights
• In-depth requirement analysis
• Latest Machine Learning platforms
• Dedicated Development te
• 100% bug-free coding

What is the experience of your machine learning development team?


What is the list of your clients?

Our glorious testimonial includes renowned companies like Morphy Richards, Warner Bros., John Deere, Austin Reed, HP, Adobe, and Vodafone. PixelCrayons has also delivered more than 13800 successful projects and 6800+ customers globally in the last 16 years.

What is artificial intelligence?

Artificial Intelligence (AI) is the concept of having machines “think like humans” — in other words, performing tasks like reasoning, planning, learning, and understanding language. While no one is expecting equality with human intelligence today or shortly, AI has a great application in our day-to-day lives. The brain behind artificial intelligence is machine learning, designed to make our jobs more accessible and more productive.

What is machine learning? What are some examples?

Machine learning is the core driver of AI. It’s the concept of having computers learn from data with minimal programming. Machine learning works with structured data to detect patterns that provide insight. Everyday examples are personalized recommendations from services like Amazon or Netflix. Machine learning predicts bad loans, finds risky applicants and generates credit scores in the financial arena.

What is natural language processing (NLP)?


Which is the best programming language for machine learning?


What are the types of machine learning algorithms?

Following are the types of machine learning algorithms
1. Supervised algorithms
They are a set of algorithms that gain knowledge from labeled data. Algorithms typically rely on supervisors to learn from classification, regression, segmentation, and detection data.
2. Non-supervised algorithms
They are a set of algorithms that learn from data without the help of classes or labels. These algorithms don’t need any supervisors for learning and attempt to represent the same data in various forms.
3. Semi-supervised algorithms
Algorithms that use both non-labeled and labeled data is a semi-supervised algorithm. The majority of the data used under this are not labeled except some. Also, this algorithm tries to identify anomalies in data like anomaly detection.
4. Reinforcement learning algorithms
They are algorithms that learn actions to take on the requisite scenario that augments overall rewards.

What is automated machine learning?

Automated machine learning is a technique of automating the complete machine learning process from scratch. It does not need data science knowledge or any programming ability. It is effortless to deploy to classic business problems, including forecasting and personalization, with just an easy point-and-click user interface.
Automated machine learning performs complex and underlying processing, such as
1. Feature extraction
2. Feature selection
3. Data preparation
4. Algorithm selection
5. Cross-validation
6. Hyperparameter optimization
7. Leakage detection

Are artificial intelligence and machine learning the same?

On the other side, machine learning is a subfield of artificial intelligence that lets computers solve problems that are not explicitly programmed via learning and iteration.

Do machine learning and deep learning the same?

Machine learning is a subfield of artificial intelligence that lets computers solve problems not explicitly programmed via learning and iteration.
On the other hand, deep learning is a subfield of machine learning that deploys hierarchical layers of artificial neural networks that result better on large, complicated data than the simple neural network.

What are the four steps for the machine learning development process?

Machine learning is a process that evolves from data analysis. The process involves identifying what you want to do, collecting data, and then implementing it into the algorithm or model, which will make decisions for your product automatically. It also helps develop machine-made models by using training sets that are already out there in the industry. Here are the four steps for machine learning development services:
Task identification: The first step is to identify whether you need a machine learning algorithm or not. It could be based on various factors such as your budget, data availability, and the appropriateness of your target market for that particular model. This will also help you in creating an action plan on how you will be implementing the model. This is a crucial step because it could save you from spending resources on something that does not need to be done or doesn't have any purpose at all.
Data Collection: Now that you know what kind of machine learning algorithm you want, it's time to collect data. But this will not be enough if you don't have the right data set. Collecting the data will depend upon your model type, whether it is a supervised or unsupervised learning algorithm and how much volume of information you need. Collecting a more significant amount of data will provide that algorithm with more information to work well with, but it will also take time which could be longer.
Processing of Data: Machine learning development services use the data sets you have collected and process them to produce more information that will help to design your model. They could do this by making minor alterations in your algorithm or implementing something new entirely depending on what you want from it.
Implementation: The fourth step is basically to implement the model or algorithm in your product. This could be a website, software program, etc., where you would like it to run. It could also entail setting up testing protocols for that particular application, so you know for sure if it is working or not.

Do data science skills have any use in machine learning?

Automated machine learning users are data-savvy and have access to several data sets that can produce good results without any help. Data scientists may benefit from automated machine learning and obtain fast test results.