AI Software Development

Transform Your Business with Custom-Built AI Software

We’re in 2024 Top Artificial Intelligence Companies By TrueFirms

Custom AI software development empowers businesses to innovate, automate, and scale like never before — turning data into intelligence and efficiency into growth.

Marat Karpeko, Co-Founder and the Chairman of the Board at InData Labs

Our Expertise

As an AI development company, we always keep track of emerging technologies and have developed our proprietary models and tools to deliver benefits to our clients.

Machine Learning

Our team of machine learning developers helps our clients drive business growth and expand their businesses by extracting valuable insights from unstructured data from multiple resources.
Business Intelligence

We provide BI & Data Warehouse consulting services and offer Big data analytics solutions to unlock the potential of your data available and set up efficient data management for enhanced decision-making.
Predictive Analytics

Our professionals create proprietary frameworks for personalized recommendations, churn prediction, dynamic pricing, fraud detection, sentiment analysis, and customer segmentation.
Natural Language Processing

We analyze text data from social media, emails, and audio to uncover audience insights. With our bespoke NLP solutions, you get to know your users better by detecting sentiment, interests, gender, etc.
Generative AI

We empower businesses with GPT-based solutions and AI agents for workflow automation, improved customer service, and faster decision-making. We provide integration and customization on demand.
Computer Vision, OCR

We develop custom CV solutions to fuel business growth. Our data capture and extraction solutions automate document processing, help businesses improve accuracy and efficiency, and reduce errors.

AI Services Implementation: Benefits for Your Business

Boost your business through AI adoption. Here are the essential benefits you can get when integrating AI into our company’s workflow.

Increase revenues
Cut down costs
Improve strategic decision making
Become data-driven business
Advanced customer experience
Predict customer churn
Mitigate business risks
Forecast future trends
Improve work efficiency
Simplify data management

Industries

We have proven track records of helping businesses in different niches to reach a new level. And we keep on enhancing our expertise across domains with AI algorithms and custom AI-driven software solutions.

Finance

Harness AI to power smart assistants that help with enhanced decision-making, financial apps to plan budgets, score credits, and detect anomalous transactions for fraud prevention.
Supply Chain & Logistics

Facilitate supply planning, invoice and receipt processing, automate warehouse analysis, cargo damage detection, and optimize routes.
Retail & E-commerce

Predict customer behavior, enable personalized recommendations, provide enhanced customer experience, increase the efficiency of in-store operations, and cut customer churn.
Automotive Manufacturing

Adopt AI solutions for smooth vehicle production. Perform complex simulations and design iterations, enable robust visual inspection and equipment defect detection with efficient AI automotive software.
Insurance

Manage claims with the help of AI virtual assistants and GPT-based solutions, predict high-loss claims and detect fraud claims, evaluate insurance property costs, and offer more customer-focused services.
Healthcare & Pharma

Let medical professionals use AI analytics for more effective diagnosis and personalized treatment, and to make data-based predictions and recommendations, allowing advanced evidence analytics to meet life-saving needs.

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Our Competences

InData Labs serves as your dedicated AI product consultant and software development partner, empowering your business to tackle intricate challenges and enhance the overall performance of your company’s records.

Data Science and Analytical Insights

Explore cutting-edge data science and analytical expertise with our tailored solutions. Leverage the full potential of data to reveal actionable insights and empower your business with smarter, data-driven decision-making.
Data Strategies

Harness the full potential of your data with data solutions made to refine operations and fuel progress. Our approach covers every step-gathering insights, analyzing trends, and putting plans into action — ensuring you unlock data’s true value for impactful, results-driven success.
Business Analytics

Unlock the potential of your business with our cutting-edge intelligence tools. By delivering actionable insights, we empower you to make smarter decisions and accelerate your organization’s growth trajectory.
AI in Product Development

Revolutionize how you create products by integrating AI solutions that adapt to market trends. With tools that optimize operations and improve efficiency, your innovations will lead in technology and market relevance.
AI Product Consulting

Unlock your business potential with a consultancy that simplifies complexity into actionable results. Whether it’s designing strategies or driving implementation, our solutions are crafted to address the specific demands of your industry.
Data Infrastructure Engineering

Our engineering expertise enables us to build a future-ready data infrastructure. We deliver scalable, high-performance solutions streamlining database management, ensuring your systems grow with your business needs.

Our Tech Stack

Concepts

Supervised, unsupervised and reinforcement learning, metric learning, fine-tuning, temporal and efficient neural networks, representation learning
Neural Networks

Convolutional and recurrent neural networks, generative adversarial networks, deep bayesian neural networks, siamese networks
Deep Learning Frameworks
Deployment Toolkits
Other AI Tools

Take Advantage of Our AI Development Services

1. HIRE YOUR AI DEVELOPER

Hand-pick your artificial intelligence development company. We are ready to set up a dedicated multidisciplinary team of highly-qualified machine learning engineers to deliver solutions that have the power to transform your business.
2. OUTSOURCE AI SOFTWARE DEVELOPMENT

Entrust our machine learning engineers with the development of your next AI-driven product idea into a custom-made product, giving you extra time to focus on the business tasks that required your attention.

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AI-Driven Software Development Process

Check out the steps it takes us to make your project a success.

Discovery
- Analyze requirements
- Make high-level estimation
- Provide technology consulting
- Exploratory data analysis
Project Setup
- Select the engagement model
- Build the core team
- Prepare a roadmap for the project
- Prepare tech documents
Development
- Use Agile development methodology
- Progress reporting on each iteration
- Perform internal and release testing
Live Release
- Final testing of the complete system
- Solve possible issues
- Live release after approval
- Collect feedback
Support
- Knowledge transfer
- Perform continuous server monitoring
- Allocate team members to fix bugs and make improvements

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Why Work with Us

Our artificial intelligence developers build beneficial products and software solutions.

Top-Notch Team

We’re a strong AI software engineering team with years of experience in AI-driven solutions development.
10+ Years of Experience

We have solid technical know-how in custom AI application development and AI software design for different domains.
Reliable Technology Provider

We guarantee transparent AI development processes and steady communication during the project.
Favorable Cooperation Terms

We offer flexible terms of cooperation that will be the most suitable for your project needs and goals.

InData Labs in Numbers

Discover how InData Labs has been transforming businesses with cutting-edge AI and data science solutions — unlocking innovation, efficiency, and growth from 2014.

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Skilled Experts

Data Scientists AI/ML engineers Solution architects Analysts UX/UI designers.
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Projects Delivered

Completed projects in AI development, Generative AI, LLM, machine learning, Big data, and data science.
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Industries

Finance, Logistics and supply chain, E-commerce and retail, Marketing and advertising, Healthcare, IoT and smart devices, Media and entertainment.
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Offices

Cyprus, USA, Lithuania

Let Our Clients Do the Talking

Looking for a Reliable Provider of Custom AI Software Development Services?

Drop us a line to start your project today! We are here to help your company with the development of custom AI solutions and applications from scratch.

Let’s Work Together

Customer Success

AI in Software Development: Frequently Asked Questions

AI is used in software development to help write code faster and more effectively, automate manual tasks, and speed up the testing process. Using AI in software app development, one can expect the app to be more robust, speedy, and almost error-free.
Custom AI apps may cost from $15 K up to $70-100K and more. The cost usually comes from complexity, functionality, and exclusiveness.
An AI company is an AI technology vendor who has got broad expertise under their belt, an impressive project portfolio in various business domains. AI, data scientists, software engineers, quality assurance specialists can usually work on an average project.
The benefits of AI software development are the following:
- higher revenues
- reduced costs
- business process automation
- improved speed and accuracy
- simplified data management
- personalized customer experience
- business risks mitigation, etc.
AI development costs can be very different, depending on the complexity of the project, the specific requirements, and the expertise of the development team. There are small projects starting from $30K, and there are big ones that require more investments.
No, AI will not replace software developers. AI was made to solve routine problems and repetitive tasks like code generation, debugging, and testing, letting developers focus on more important and time-consuming issues, complex problem-solving, and innovation.
From startups to tech giants, almost every company is investing in AI to optimize operations, create innovative products, and gain a competitive edge. The widespread adoption of AI highlights its transformative potential across industries.

InData Labs is not standing aside and helps to create AI-driven solutions for businesses in a variety of industries. Google has created DeepMind, TensorFlow, and various AI-powered services such as Google Assistant and Google Photos.

Apple focuses on AI for Siri, facial recognition, and other features integrated into its devices and software.

Microsoft invests heavily in AI through its Azure AI platform, Cortana, and integrations of AI into its Office products and other services. Amazon develops AI for its Alexa voice assistant, AWS AI services, and logistics optimization.
Software development creates tools and applications to solve problems, improve efficiency, and enhance experiences. Software development is the process of designing, building, and maintaining applications, systems, or platforms to solve specific problems or meet user needs. It enables businesses to automate processes, improve efficiency, and deliver value to customers.

From mobile apps and web platforms to enterprise software and AI-driven tools, software development powers innovation across industries. It also plays a critical role in creating user-friendly interfaces, ensuring data security, and integrating new technologies into existing workflows. Ultimately, software development drives digital transformation and helps organizations stay competitive in a tech-driven world.
AI is revolutionizing software development by streamlining processes, improving accuracy, and enhancing productivity. Here are some key benefits:
- Automated Code Generation: AI tools like GitHub Copilot suggest code snippets, reducing manual coding efforts.
- Bug Detection and Debugging: AI can identify errors in code and suggest fixes, improving software quality.
- Predictive Analytics: AI analyzes historical data to predict potential issues, enabling proactive problem-solving.
- Testing Automation: AI-powered testing tools can run extensive test cases faster and more accurately than manual testing.
- Natural Language Processing (NLP): AI helps developers interact with systems using natural language, simplifying complex tasks.
- Code Optimization: AI analyzes code to suggest improvements for performance and efficiency.
- Project Management: AI assists in estimating timelines, allocating resources, and tracking progress.
By handling repetitive and time-consuming tasks, AI allows developers to focus on innovation and strategic goals.
Generative AI is transforming software development as a multipurpose co-pilot, automating code generation via tools like ChatGPT and GitHub Copilot, generating UI/UX designs or mockups and documentation, and creating realistic test cases and stress-test scenarios.

By handling repetitive tasks it shifts developers’ focus to system architecture and creative solutions — merging human ingenuity with machine speed. As the outcome a developer gets accelerated cycles, fewer roadblocks, and innovation unbound by traditional workflows.
AI has diverse applications in software development, enhancing both the development process and the end product. Examples include:
- Sentiment analysis for analyzing user feedback to monitor brand health and improve customer satisfaction.
- AI chatbots are integrated into applications; chatbots enhance customer support and user engagement.
- AI tailors user experiences by analyzing behavior and preferences.
- AI tools automatically review code for errors, security vulnerabilities, and compliance with best practices.
- AI predicts system failures, enabling proactive maintenance and reducing downtime.
- AI processes large datasets to provide actionable insights for decision-making.
Narrow AI (or weak ai) is the most common type of AI used, which is designed to perform specific tasks. AI in general, can be divided into several huge groups:
- Machine Learning (ML): Used for predictive analytics, recommendation systems, and fraud detection.
- Natural Language Processing (NLP): Powers chatbots, virtual assistants, and sentiment analysis tools.
- Computer Vision: Enables facial recognition, object detection, and image analysis.
- Speech Recognition: Used in voice assistants like Siri and Alexa.
- Robotic Process Automation (RPA): Automates repetitive tasks in business processes.
Narrow AI is widely adopted because it delivers tangible benefits across industries, from healthcare and finance to retail and manufacturing. While it lacks general intelligence, its ability to perform specialized tasks efficiently makes it invaluable in today’s tech landscape.

Contact us

Drop us a line about your project or describe a challenge your company needs help solving. We’d love to discuss how InData Labs can work with you.