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Machine Learning Consulting & Development Services

Spark your transition into ML-powered business

We are a globally catering machine learning consulting and engineering company enabling 360-degree business optimization, from Fortune 500 whales to SMEs.

Sculpt consistent growth strategy with ML

As an integral part of Artificial Intelligence, machine learning ensures accuracy and improves performance of a multitude of tasks by processing input historical data. The amounts of structured and unstructured data towering within enterprises can badly hurdle progress — this is where smart ML algorithms come in to redefine data understanding.

PixelPlex empowers firms with machine learning applications that help predict outcomes, unlock insights, and produce calculable value.

An infographic demonstrating the growing pace of oil and gas software solutions

$21.17B to $209.91B

Forecasted growth of the global machine learning market from 2022 to 2029, with a 38.8% CAGR expected during the period.

74%

C-level executives and data scientists state that they utilize machine learning-powered performance analysis and reporting.

1/3

IT leaders consider using machine learning techniques for business analytics.

95%

Enterprise research respondents labeled AI/ML as very or somewhat important with regards to their digital transformation efforts.

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A bird’s-eye view of our machine learning services

We aid in resolving operational and conceptual issues by introducing robust tech vision, feasible architectures, and flexible software to simplify facility management and take business extension off limits.

Machine learning consulting

From ideation and business analysis to data contextualization, strategizing, and tech architecture planning — PixelPlex helps get started with machine learning, nice and easy.

    Machine learning development

    Be it a fully-fledged self-taught system or a standalone layer, we wrap them into advanced analytics, convenient interaction scenarios, and undemanding controls.

      Machine learning software integration

      With due respect to your systems’ integrity and compatibility, we securely integrate machine learning software to scale your enterprise or IoT ecosystem capabilities.

        Machine learning modeling

        We know how to build custom ML models that achieve supreme precision while cracking your tasks. Data engineering, training, validation, and model deployment are on us.

          Our machine learning expertise in focus

          Your enterprise data can do much more than you imagine, and technique is the key. With years of field experience in AI and machine learning, we can nail complex effort-intensive jobs, fast.

          Natural Language Processing (NLP)

          Take advantage of machine learning applications that convert unstructured oral recordings and written language into clearly deciphered and interpreted text. We implement NLP layers into business workflows to help you handle massive language-related challenges easily. Search through text Text classification Automatic Speech Recognition (ASR) Named Entity recognition (NER) Speech interpretation Sentiment analysis Unsupervised learning

          Computer vision

          To help resolve and automate intricate issues while understanding video and digital imaging context, we employ advanced modeling and define a multitude of aspects and similarities. Interpret data, take informed actions — we’ll come up with the right technique for any task. Image representation and classification Object recognition and detection Image exposure and segmentation Motion estimation and 3D mapping Lighting and pattern detection Feature extraction and matching

          Classical machine learning

          Let’s remove any obstacles standing between you and business growth. Be it customer segmentation, anomalous behavior detection or data labeling, we’ll implement algorithms that learn from existing data sets, predict observations, and deliver the required output. Support-vector machines (SVMs) Linear and logistic regression Decision trees Naive Bayes classifier Nearest neighbor K-means clustering

          Predictive analytics

          Forecast finance flow, detect anomalies, plan workforce and outcomes, target marketing campaigns and maintain assets — predictive modeling nails it all automatically. To help extract data patterns, we’ll bring in descriptive, decision, inferential, prescriptive and other models. Time series analysis Probabilistic machine learning Predictive modeling Clustering and classification Neural networks

          Automated machine learning

          Approach resource-consuming tasks a whole lot smarter. By implementing AutoML tools, we’ll help you build efficient production-ready ML models easily executing complex iterative operations. Let’s foster strategizing and unload staff from daily routines at scale. Data preprocessing and cleansing Feature selection and construction Model family selection Model hyperparameters optimization ML models postprocessing Neural networks topology design Data analysis results revision

          Data science

          Take decisions that are rational given proper business overview. Our data scientists know their way around analytics, statistics, and programming — they’ll aid you in collecting massive data sets and convert the extracted value into insights-driven solutions tuned to your needs. NLP and ML expertise Advanced math and computing SQL/NoSQL database coding Python, Scala, SAS, R engineering Data visualization Social media mining

          Bet on a refined solution

          Some tech infrastructures need just a little muscle growth to get business to a new level of automation. Contact us and we’ll help create a machine learning application for that.

          ML perspectives for industries

          What if we told you that your business could be much more efficient than that? See how explosive machine learning software can be for a plethora of industries.

          Finance

          eCommerce & retail

          Supply chain

          Healthcare

          Energy sector

          Agriculture

          Marketing

          Education

          Machine learning in finance

          Build fraud-averse workflows while elegantly managing risks, ruling out human error or other anomalies, and allocating assets in line with data-driven plans.

          Machine learning in eCommerce & retail

          Manage churn and make customers scoop up your goods by tailoring product recommendations with regards to preferences and sales forecasts.

          Machine learning in supply chain

          Rely on predictive maintenance, prevent equipment failures, get informed on stock volume, and forget shortages and disruptions for good.

          Machine learning for healthcare

          Apply OCR for faster data entry, employ medical imaging diagnosis, and ensure research-based disease treatment and drug discovery.

          Machine learning in energy sector

          Crunch through historical data, define usage trends, and utilize weather forecasts to build razor-focused predictions on a daily and hourly basis.

          Machine learning in agriculture

          Capitalize on pre-harvesting machine learning to figure soil parameters, predict crop quality and livestock production, and fine-tune irrigation.

          Machine learning in marketing

          Devise perfectly relevant strategies upon Big Data analysis, factor in customer behavior, personalize content, and advertise smartly.

          Machine learning in education

          Unleash your students’ creativity by implementing adaptive learning, personalized experiences, and multi-parameter progress assessment.

          Employ the greatest tech for your project

          Leave nothing to chance with our pool of technologies pushing machine learning development forward.

          Logistic Regression

          XGBoost

          GradientBoosting

          RandomForest

          GANs

          RNNs

          LSTMs

          Residual CNNs

          Word Embeddings

          Our machine learning expertise in focus

          A machine learning development path isn’t a thing to be underrated. Staying involved straight away, we adjust the process in terms of engagement model, budget, and timeline restrictions. On average, it goes like this:

          • 1

            Research and discovery

          • 2

            Exploratory data analysis

          • 3

            Data mining and structuring

          • 4

            Test dataset generation

          • 5

            Data modeling and evaluation

          • 6

            Solution design and development

          • 7

            Deployment and optimization

          • 8

            Support and maintenance

          See our machine learning projects

          We get immersed by clients’ ideas, giving them all our excellence until we are absolutely positive about the result quality. Look what we’ve recently completed.

          See our machine learning projects

          We get immersed by clients’ ideas, giving them all our excellence until we are absolutely positive about the result quality. Look what we’ve recently completed. Web platform to identify and prevent IP infringement. Advanced computer vision and NLP models to detect fakes and duplicates. Built-in data layer with complete data about collections and NFTs. Intuitive UI enabling users to keep track of their IP in Web3. Read WatchDog case study

          See our machine learning projects

          We get immersed by clients’ ideas, giving them all our excellence until we are absolutely positive about the result quality. Look what we’ve recently completed. AI-enabled medical database. Web interface for internal testing. Computer-assisted human retina analysis. Symptom detection & differentiation. Disease progress forecasting. Read AIRA case study

          See our machine learning projects

          We get immersed by clients’ ideas, giving them all our excellence until we are absolutely positive about the result quality. Look what we’ve recently completed.

          113M

          tokens are processed on Ethereum

          347K

          NFT collections in total
          *As of November 2022 AI-enabled performance tracking & NFT analysis. Value projection forecasting. ML-powered NFT comparison & fake identification. Fraudulent activities detection. Multi-parameter stats generation. Read CheckNFT case study

          See our machine learning projects

          We get immersed by clients’ ideas, giving them all our excellence until we are absolutely positive about the result quality. Look what we’ve recently completed. Blockchain architecture ideation. Tokenomics mechanisms development. AI tools, NFT token & search design. Vision & scope elaboration. Technology stack consulting.

          We share our R&D-based findings

          Slow down and enjoy some of our machine learning-related takeaways. You are on the need-to-know list, we bring up our top pieces — it doesn’t get bigger than that!

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          Frequently asked questions

          Is AI and machine learning the same?

          The technologies are interrelated, with AI being an umbrella discipline comprising everything around machine self-learning algorithms. Machine learning techniques are commonly utilized together with AI. Still, ML is a subset of Artificial Intelligence.

          How does Machine Learning increase revenue?

          Aside from refining sales tunnels, Machine Learning results in better bottom lines through customer service personalization, pattern-driven recruitment, stats-enabled finance and marketing management.

          How much would a machine learning solution cost?

          Machine learning applications vary in complexity greatly, so it would be totally wrong to make ballpark estimates on the spot, with no consideration of business implications. To get more accurate estimation, give us the gist of your project in the form below — we’ll get back to you.

          What are the AI and machine learning disadvantages?

          Quite naturally, machine learning software isn’t designed to think outside the box. Initially meant for routine repetitive tasks, it cannot resolve nuanced challenges, while also disregarding human ethics for being machinate.

          How to learn machine learning techniques?

          To become a Machine Learning engineer, one should study theory and algorithms from scratch, opt for courses and better apply for internships. If you are determined to start a career as an ML developer or consider establishing a machine learning company, reach us out for comprehensive consulting.

          Contact us

          Don’t leave your project success to “heads or tails” — rely on a trusted tech partner. Check us out and see if we have it all, can’t wait for new challenges! By clicking the 'Drop a line' button, you agree that PixelPlex will process your personal information in accordance with our Privacy Policy and send you marketing materials. You can unsubscribe at any time.