Unlock the data value with enterprise-grade AI/ML mobile solutions

We use the strength of AI app development to deliver top-tier digital solutions. Our team uses predictive analytics tools to create business intelligence (BI) digital solutions from the ground up or integrate them into existing business environments. Before deploying the models, we transform legacy and extensive data into reusable datasets suitable for multi-label classification, regression, clustering, density estimation, and dimensionality reduction.

 

Our Artificial Intelligence and ML Development Services

Mobile app can be built on various technologies. You can choose or reach out to us for a primary discussion on the best technology fit for your product idea.

Artificial Intelligence App Development

We improve the digital workforce and efficiency by integrating the most slashing technical breakthroughs with our expertise in ai app development. We utilize efficient human resource replacement methodologies and tools like TensorFlow, Torch, Theano, etc. Several enterprises have used user-defined AI services to automate time-consuming, inefficient everyday tasks.

Machine Learning App Development

We create algorithms using scientific and quantifiable methods that examine unreliable data to identify significant correlations and patterns. Our developers create engaging bots that carry out standard, principles-based procedures via the user interface, simulating human contact with digital programs. Accord.Net, Keras, Apache, and several other technologies are part of our core stack.

Natural Language Processing

We develop Natural Language Processing (NLP) applications that assess structured and semistructured content, including search queries, mined web data, business data repositories, and audio sources, to identify emerging patterns, deliver operational insights, and do predictive analytics.

Robotic Process Automation (RPA)

We integrate robotic process automation (RPA) applications to enhance workflows and provide a company with more scalability and flexibility. These apps can extract structured and semi-structured data from documents, copy and paste data, move files and folders, scrape websites, perform calculations, and more.

Deep Learning (DL) Development

We build ML-based DL technologies to build cognitive BI technology frameworks that can recognize specific ideas throughout processing processes. These frameworks mimic how humans collect & retain information. We also delve through complex data to reveal various opportunities and achieve precise perfection using ongoing deep-learning algorithms.

Machine Learning Operations (MLOps)

We empower IT teams to lead production machine learning initiatives without compromising model quality, performance, or interpretability by reducing the obstacles to business machine learning adoption by leveraging MLOps and AutoML approaches.

Our Proud Clients

Over the past decade, we have developed creative solutions for Fortune 500 companies, small businesses, and technology startups. Check out how we helped them transform their corporate structure.

Over the past decade, we have developed creative solutions for Fortune 500 companies, small businesses, and technology startups. Check out how we helped them transform their corporate structure.

Our End-to-End AI and ML App Development Process

Our developers undertake a meticulous approach to better understand your company’s objectives and how to create an engaging, user-friendly, and smooth AI and ML app for your target audience.

Requirement Analysis

Firstly, we evaluate the idea in light of the business needs, use cases, and implications such as compliance and security. We discuss the notion with our AI developers before outlining the system’s operational objectives and workflows. 

Designs, Wireframes, & Mockups

After analysis, We assist our clients in developing user-friendly AI app flows through the creation of interactive and captivating UI designs.

Prototype Demo

After finalizing and receiving design approval, we will set a scope freeze and work with our client to create a demo or prototype so they can see how the AI app will look and feel.

Changes And Confirmation

Clients are welcome to add and specify the necessary adjustments in accordance with their needs on the current platform. After receiving the client’s approval, we’ll go forward.

Development

Following customer approval, we begin the development process using the technologies most appropriate for you and provide your results within the time limit our technical team promised.

Deployment

Our team is ready to help our clients with final testing, UAT, training, and the final deployment and launch of their source code.

Support And Maintenance

After trial and compliance with all procedures, the app is released on the App Store or Play Store. After deployment, our company provides full assistance, and the team is always available to address any questions. 

AI Development Services – Benefits

1. Solving Complex Problems

AI technology has gone from simple Machine Learning to sophisticated Deep Learning models, which has enabled it to address complicated problems. Artificial intelligence (AI) assists organizations across industries in identifying the correct solutions to meet their difficulties more effectively, from fraud detection and tailored consumer interactions to weather forecasting and medical diagnosis.

2. Smart Decision Making

Making wiser business judgments has always been a goal of artificial intelligence. AI technology helps companies make the best decisions possible by coordinating data distribution, analyzing patterns, developing data consistency, providing forecasts, and quantifying uncertainties.

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AI Development Services@2x

3. Business Continuity

AI-based business forecasting not only assists businesses in making important decisions but also equips them with the necessary tools to deal with emergencies and maintain operations. AI-powered systems can assist firms in making proactive responses to crises because risk management now primarily relies on data management and analysis.

4. AI as Personal Assistant for Customers

Customer personal service can be provided using AI technology. Speech recognition software can generate specific ID responses by creating a permit in the CRM software system. This allows it to provide customer service.

Artificial Intelligence and ML Development – Tool & Technology

Our AI and ML developers recommend the best technology stack to develop digital mobile solutions for business

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Industries We Serve

Working with Markovate

We have worked with Markovate for more than a year to build our enterprise product design and prototype. We worked closely with the team, and they were always on top of their deliverables. They are very professional in their processes and have always suggested the best solutions for our product development. Highly recommended.

Anil Wasney

Director of Technology, FedEx

“Markovate quickly adapted to the new project. They have upgraded our hybrid application with a variety of new features to give customers the leverage to access particular services. Their focus on detail and commitment is crucial to the success of our project.”

Woto Nyomba

Technology Expert, Manulife Global

Markovate has always stood out due to its consistently high professionalism and customer support standards. They have helped us build multiple products in the past. We recommend them to anyone looking for product development.

Moe Ali

Founder & CEO, Product Faculty

In every sense, working with Markovate has been amazing. The experience and outcomes were excellent from conception to creation and throughout the complete evolution phase. They ensure that every project they undertake receives the best possible attention and enthusiasm. We are grateful that we could find Markovate to assist us because our mobile application met our expectations.

Michael Lavry

VP, Dell Technologies

FAQs

What is the difference between ML and AI?

AI is an essential component of any sophisticated programming language that makes an application smarter, and machine learning is a subcategory of AI. ML is AI, but not all AI is ML, to put it simply. Artificial intelligence makes computers “intelligent” to think like humans and carry out tasks independently. Machine learning is how a computer system develops its intelligence. A neural network can be used to train a computer to mimic human thinking, a series of algorithms modeled after the human brain.

How does AI work for mobile app development?

AI is capable of mechanical and planned responses, unlike passive machines. One of the significant developments in eLearning and mobile app development, it can be used in many operational fields like production, education, medicine, and economics. It plays a crucial part in mobile app development, allowing you to create intelligent programs that can change and simplify human demands. Based on their previous purchasing habits, AI aids in understanding user behavior.

Why AI related apps collect so much data?

Most of us spend more time on our cell phones than interacting with others. Apps require a lot of data from the user to provide the features that smartphones offer, such as information about your face, browsing history, location, contact list, etc.

Get started in 4 simple steps

We collaborate with you to develop a product that meets your needs and objectives. Let's talk about how we can make your digital product a reality.

01

Confidentiality

We will send a signed NDA before the initial discussion to protect your product idea.

02

Scope of Work

On a 30-minute ZOOM call, we will go over the scope of the project and discuss project requirements.

03

Dev Contract

We will send a comprehensive contract with details on project technology, process, cost, time, etc.

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Initiate Project

Upon mutual acceptance, we will create the sprints and kickoff the project.

Say Hello!!

After you get in touch with us, our technology consultant
will set up a Zoom call to discuss your requirements.