Machine Learning Services

Our service streamlines the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing management.


365 Operating Services


Processing languages


Experienced employees


Data security &
Quality Assurance

Provide cutting-edge algorithms to overcome key business challenges with confidence

Our team specializes in ML, data services, and digital transformation. we offer strategy, engineering solutions, and R&D  services to enterprises across the world.

We’re here to help you explore the endless possibilities of machine learning for your business growth and then create bespoke solutions to maximize its potential.

Machine learning is used by our developers to detect anomalies, and enhance information detection & extraction, empowering the endless possibility of computer vision.

Machine learning solutions

Data is the key to success in machine learning and deep learning applications. Our experienced and professional staff deliver quality data for your AI Lifecycle. Here’s a brief overview of our services:

machine learning services

Machine Learning Development Services

DIGI-TEXX’s experts are fully capable of guiding you through every step of the ML model development process. From data preparation to the development of an evaluation protocol and benchmark model, data labeling, datasets management, machine learning models management, and machine learning models all in one place for optimal performance.

Machine Learning Consulting Services

Our team of experts can assist you in navigating and implementing machine-learning-based software, as well as supporting your existing enterprise machine learning initiatives.

machine learning services
machine learning services

Computer Vision Services

Our team can assist you with the development of computer vision applications in information detection and data extraction. Our pre-built learning models can analyze images and videos to provide you with detailed and relevant information instantly. We help clients develop AI-powered systems that are able to automate image and video analysis tasks and enhance search capabilities.

Natural language processing service

Our natural language processing (NLP) service provides businesses with the capability to process, analyze, and understand human language. DIGI-TEXX offers a wide range of NLP functionalities, including text processing, text classification, question answering, chatbots, and virtual assistants.

machine learning services

In particular, we have a team of professional and skilled consultants in areas such as:

Product engineering & development

We provide assistance at every stage of your product’s lifecycle, from innovation to deployment and testing. Our machine learning engineers can facilitate cloud and mobility integration and add intelligence to your existing products. We fulfill all of your business requirements.

Continuous integration and deployment

We leverage DevOps and CI/CD pipelines to efficiently develop and update new products. Our comprehensive suite of services includes expert consulting, seamless implementation, and top-notch infrastructure monitoring, all powered by industry-leading tools like Maven and Jira.

Product re-engineering

Enhance the scalability, security, and performance of your technology stack while maintaining present capabilities. We offer support in re-architecting, re-factoring, or re-platforming your existing technology stack to enhance and scale your products for the next decade.

Product migration – Cloud, On-premises & mobile

Our teams are well-equipped to assist you with whatever you need. We can help you migrate your existing products to the cloud, create a hybrid structure, or extend your web-based products to mobile. You can trust us to deliver the results you want.

Product testing & validation

We thoroughly test and operate a wide range of products in a reliable manner. Our teams utilize the latest technological advancements to provide validation and verification services that prioritize quality, ensuring that your products make a lasting impression.

Data platform & analytics

Maximize your product capabilities by leveraging the power of data analytics, ML-AI, and data mining. Our expertise in these areas enables us to deliver advanced products that outperform the competition. With our proven industrial frameworks, we can help you accelerate your time-to-market and achieve success faster.

Machine learning technologies






















Residual neural network (ResNet)

Categorization models



Recurrent neural network (RNN)

Generative adversarial network (GAN)



Convolutional neural network (CNN)

Neural radiance field (NeRF)

Skeleton detection


Regression models

Clustering algorithms


Amazon SageMaker

Azure Machine Learning

Cloud Machine Learning Engine

Amazon Rekognition

Azure Cognitive Services

Cloud Vision API

Amazon Lex

Language Understanding Intelligent Service

Cloud Natural Language AI

Amazon Polly

Azure Bot Services

Cloud Speech API


You’re gonna love dIGI-TEXX

Managers from many kinds of businesses turn to DIGI-TEXX to optimize their business costs.

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Our Deployment Models

We incorporate artificial intelligence engines, pre-trained machine learning models, and a variety of ML tools designed to create and train custom ML models at scale.


Our optimized N-step machine learning process for you

Machine learning projects don’t have to be complex – we’ll help you choose the right solution. There are a variety of machine learning solutions that can be tailored to different business needs. Here’s how we approach:



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Industries we serve

DIGI-TEXX are one of the top machine learning experts to consider for machine learning projects in Vietnam. We implement automation AI and machine learning tools and platforms to provide custom solutions for various industries. There are several use cases across many industries:


Personalized service offerings

Automated back-office operations and NLP capabilities 

Fraud detection

Virtual assistants for customer support

Customers’ credit profiles assessment


Predicting product demand and retail trends 

Targeted advertising, dynamic pricing, and promotions tailored to customers’ needs

Anticipatory shipping and smart route planning 

Anomaly detection and intelligent video surveillance


Advanced recommendation and search engines 

Chatbots for improving customer experience

Contextual shopping features

Demand forecasting

Fraud and anomaly detection for a safer purchasing experience


Diagnostics and identification of high-risk patients 

Consulting chatbots and virtual assistants 

Drug discovery and development 

Automated EHR processes and virtual nursing


Tailored content recommendations and customized learning paths

Adaptive training activities for personalized learning experiences

Dynamic adjustment of learning speed and personal curricula 

Bots to automate and streamline manual processes

NLP-based real-time translation and transcription of eLearning content

stock market

Stock price prediction 

Trade execution and market-making algorithms 

Stock market forecasting engines and autonomous stock trackers

Automated fraud detection and customizable alert systems for managing risk


Automated customer segmentation and new customer segments discovery

Ad personalization and contextual advertising

Marketing automation 

NLP capabilities for enhanced customer interactions

real estate

Recommendation engines and virtual tours 

Market value prediction 

Automated property management 

Property performance monitoring and price prediction


Predictive maintenance to maximize asset lifetime

RPA and digital twins for production efficiency improvement

Augmented quality control to timely identify anomalies  

Product demand forecasting


Dynamic supply and demand balancing for a resilient supply chain 

Estimated time of arrival (ETA) and warehouse workloads prediction

Dynamic route optimization for timely delivery of goods


Automated disease detection and treatment recommendations

Yield mapping and estimation

Crop quality detection and classification 

Livestock health aspects monitoring

You don’t see your industry here? Contact us

What makes us a suitable machine learning consulting service provider for you?

Our company offers machine learning consulting solutions to clients worldwide, delivering high-quality results. Outsourcing your needs to us provides a range of benefits, including:

Data security with global standards

Our document digitization services guarantee comprehensive information security following the information security management system (ISMS) based on the ISO 27001 standard with GDPR compliance.

Automation and efficiency

We help automate complex tasks, reducing manual effort and improving efficiency. Enable your team to handle large volumes of data, analyze it quickly, and make predictions or generate insights at scale.

Quick go-to-market

Our industrial frameworks, technology expertise, and ready-to-use IPs enable 40% faster development.

Enterprise-grade solutions

We build solutions that are technologically advanced and ready for the next decade. Our solutions are optimized for project costs and incorporate best practices.

Affordable and flexible pricing

We offer affordable pricing based on your conversion volume or dedicated resource packages. Our prices are highly competitive in the market.

We are an active member of

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Our exemplary project delivery capacity

Our claims processing solutions add value to any business (from small to large enterprises) around the world.

Our 20 Years of Proven Track Record

DIGI-TEXX VIETNAM 20th Anniversary

Reaching a new height

Our Dynamic and Experienced Employee


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Straight-Through Process for Customer Onboarding


Intelligent Document Processing

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Automated Insurance Claims


Intelligent Document Processing

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Global Invoice Processing


Automated Data Extraction Solution

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Frequently Asked Questions

Our team of experts is here to answer any questions you may have and provide you with a free consultation. If you don’t see an answer for you below, feel free to send us a message.

ML models are revolutionizing various industries by automating processes, predicting trends, and detecting fraud.

For example, e-commerce companies utilize recommendation engines to personalize customer experiences, while hedge funds leverage them to accurately predict stock prices.

Insurance companies use advanced risk assessment techniques, and healthcare professionals use AI-powered applications and tools to diagnose medical conditions early based on a set of symptoms.

These AI-powered tools have vast potential, including forecasting weather patterns, optimizing resource allocation, and understanding genetic mutations.

Any industry that requires data-driven decisions can benefit from experienced data science teams working with AI tools and deep learning models. The goal is for businesses and organizations to increase efficiency, reduce costs, and derive meaningful insights from existing data sources.

A machine learning consultant helps businesses develop an artificial intelligence strategy. They offer the following services:

  • Collect and structure data, and identify important insights.
  • Research which machine learning algorithms and tools are best suited to automate business processes.
  • Increase revenue by targeting customers more effectively through recognition of their behavior patterns.
  • Deploy a GDPR-compliant machine learning solution that does not compromise on system security, data privacy, or reliability.

Let us help your business grow with smart machine learning solutions.

Machine learning is a branch of artificial intelligence that involves the use of algorithms and statistical models to analyze and draw actionable insights from data. It enables computer systems to learn and improve from experience without being explicitly programmed. There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.

Machine Learning (ML) is gaining popularity in businesses of all sizes. It allows organizations to automate operations, make accurate predictions, spot trends, and make better-informed decisions using data and tools.

Airbnb’s success in improving customer satisfaction through ML is a notable example. By analyzing large amounts of customer data, they gain insights into customer preferences and can offer personalized experiences, resulting in industry-leading guest satisfaction.

Despite common misconceptions, Machine Learning is not only available to large companies. Many industries use ML software to speed up complex processes like auto-labeling, categorization, and fraud detection while saving resources like money and time.

This helps companies achieve tangible benefits, increasing their competitiveness in the market. With its versatile capabilities, it’s clear why businesses are relying more and more on machine learning technology today.

When evaluating a consulting firm, you can start by checking reviews and ratings from respected platforms. This will give you an idea of their overall reputation and the quality of their services. Look at their case studies to see concrete evidence of their knowledge and capabilities.

Consider their approach to communication, technology, timelines, and tracking. Make sure they use up-to-date methods that will maximize effectiveness. By understanding how they manage tasks like project planning and resource allocation, you can better assess their ability to execute on-site work or remote support. Choose a consultant with experience not only in ML and AI, but also in customer service delivery.

DIGI-TEXX offers flexible pricing models based on the hour/transaction/volume and dedicated resources/packages. Clients can select the right model which best fits their purpose.

To define the cost of an ML solution, you should factor in:

  • Data-related attributes (number of data sources, data type, data volume, and data quality used for ML development)
  • ML accuracy requirements
  • ML approach and methodology
  • ML implementation and maintenance costs
  • Infrastructure costs
  • Software licensing

It’s important that some document processing services may also charge additional fees for services such as data storage or retrieval, software licensing, or customization of the service to meet your specific needs and any ballpark estimates are only possible after thorough business analysis.

To get an accurate estimate of the cost of a document processing service, it’s best to contact DIGI-TEXX and provide details about the type and volume of documents that need training, as well as any specific requirements you may have.

Machine Learning as a Service (MLaaS) is a crucial tool for data science and machine learning experts. It allows them to reduce expenses and save time by utilizing a cloud-based platform that incorporates machine learning tools to generate predictive models, process vast amounts of data with ease, and deploy machine learning models across multiple applications.

MLaaS can also enable businesses to run sentiment analysis and understand how customers perceive them by analyzing social mentions, posts, and reviews.

MLaaS provides a quick and easy way to develop models. They offer pre-trained algorithms on their platform that can be easily tailored to specific needs. This benefits data scientists, machine learning engineers, data engineers, and other professionals who can save time and resources when creating custom predictive solutions. Using these services can be faster than coding from scratch.

MLaaS also offers pre-trained deep neural nets and other advanced ML models, APIs, integration with external services, and support for multiple programming languages. In short, professionals can now use MLaaS to complete various tasks faster and more economically, resulting in significantly reduced development times.

ML models are becoming increasingly popular since they provide an automated way of making predictions or classifications. The basic workflow of a Machine Learning algorithm involves three main components: a decision process, an error function, and an optimization or updating process.

The decision process outputs data based on input, labeled or unlabeled, assessed with a pre-trained algorithm. The error function evaluates accuracy, using known instances as benchmarks. Optimization modifies the algorithm to improve accuracy over time.

By integrating these components, machine learning models learn from mistakes and improve continuously, without manual adjustments. This leads to faster and more efficient problem-solving than traditional programming methods. No wonder machine learning algorithms are becoming more commonly used!

When to use:

  • If you’re already using an MLaaS provider, integrating their services can be a good addition.
  • If many use-cases can be outsourced to a predictive API, MLaaS is a good choice.
  • If your application generates a lot of data, and you need to conduct frequent tests, try MLaaS.
  • If your company has a microservice-based architecture, MLaaS can help manage some of those services.

When not to use:

  • If your data needs to be secure and on-premise, avoid using MLaaS.
  • If you require extensive customization and state-of-the-art algorithm implementation, you may not need MLaaS (although it could still be useful).
  • If you need to optimize training or serving costs of complex algorithms, consider taking your infrastructure on-premise.

Yes, we provide all necessary documentation to ensure your complete ownership of the work done.

For machine learning projects, we usually offer a dedicated team, time and material, and fixed-price engagement models.

Yes, our dedicated machine learning developers will work according to your time zone (EST/PST/CST/MST) to effectively communicate with your team.

No, we train the ML models on our instances, you’ll need the infrastructure only for rolling out the solution post-development.

Let’s get in touch

If you are looking to outsource, we can help. Share your business goals with our experts, and we will respond promptly.

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