Reliable AI Software Development Company

Get secure, custom-designed AI software that intelligently adapts to your data
  • Increase sales conversions with AI recommendations
  • Enhance accuracy in business decisions with our ML models
  • Process complex data quickly for valuable insights into customers/employees

What is AI Software Development?

What It Is

AI software development is about creating AI-powered software products (including machine learning, deep learning, and NLP-based solutions). AI engineers and engineering teams select, fine-tune, or integrate AI models, then build, test, deploy, and monitor AI-based applications that use AI capabilities to solve business problems. They also configure and customize prompts, design RAG to keep AI current and domain-specific, and continuously optimize cost and performance.

What It’s Not

AI software development does not apply when AI is just a productivity tool used to build, test, or deploy traditional software faster. AI agents can write and explain code, assist with UX/UI design, scan code for bugs or security vulnerabilities, translate business ideas into technical requirements, automatically deploy or roll back a release, and monitor performance in real time to optimize server. However, if the resulting software makes no AI-driven decisions, there is no AI software being developed.

The Role of Data

AI software development is based on gathering raw, relevant data (business, patient, sensor, etc.) and transforming it into a usable form for the AI to achieve its commercial goal, whether it's clustering (discovering groups), classifying (assigning to groups), detecting (presence or absence), retrieving (fetching relevant items), regressing (predicting or explaining), ranking, recommending (personalization), generating (new content), transcribing (converting to text), or planning (agentic AI).

Hire AI Developer for Custom Solution

Our AI and machine learning specialists and data scientists know how to design, train, and fine-tune AI models. Software engineers from Belitsoft integrate those AI models into software products for your customers and configure access to them. You can also expect roles such as UX designers to create intuitive interfaces for AI applications and project managers to keep development on track.

For Startups

AI Developers for Startups

For startups and small companies, we provide full-stack AI engineers who can select, customize, and deploy models to production, as well as do frontend coding.

  • Full-stack AI development
  • Model customization & deployment
  • Frontend integration
  • Rapid prototyping

AI Staff Augmentation

With software development staff augmentation from Belitsoft, you get 35–45% savings by hiring in Europe at a more competitive price due to the lower cost of living compared to Canada, Great Britain, or the USA while maintaining strong English proficiency, cultural compatibility, and EU regulatory compliance.

What Is Augmentation

Belitsoft provides on-demand experts to support the development of your AI product (from ideation to QA, CI/CD, and maintenance), modernize your platform, or integrate with AI services.

They are ready to be embedded directly into your existing internal staff to create a hybrid IT team and supplement your business with specialized AI automation knowledge you lack in-house.

You get talent without the overhead (HR and legal processes, onboarding) and taxes of full-time permanent hires, and when they finish the project, you terminate the contract because you maintain full project control in-house.

After requirement analysis, we move to evaluation and selection, then onboarding and integration, and provide continuous support throughout.

What AI Staff Is Available

Developers & Architects. AI Software Developers (React, Node, FastAPI, Python, .NET, OpenAI/Anthropic APIs), traditional backend and frontend developers, and AI Solution Architects (Azure, AWS, GCP).

AI & Data Engineering. AI/LLM Engineers, ML Engineers, Data Scientists, and Data Engineers.

Infrastructure. MLOps, AIOps, and DevOps specialists (Docker, Kubernetes, Terraform, MLflow).

Specialized AI Experts. NLP and Computer Vision Experts.

They have deep expertise in Big Data, Deep Learning, Predictive Analytics, and Data Mining and build real-world applications including Generative AI, prediction and recommendation engines, forecasting models, and intelligent assistants.

Why Choose Belitsoft

Belitsoft has operated since 2004 not as a marketplace like too-expensive Toptal or too-cheap Upwork but as a professional partner for clients who have been with us for 5–10 years in a row, both small startups and Fortune companies.

Some agencies use AI for automated matching of skills to client needs. We select for you fast because we know each developer and vouch for them. We know everybody we recommend, their skills, and whether they will fit you not just technically but also culturally.

We match pre-vetted candidates in hours and build a team in weeks, not months, finding you an expert several times faster.

To further cut costs, our senior developers use AI tools to code faster with supervision, automating tasks that earlier needed paid hours of developer work.

AI Agent Development Services

Move fast from an AI agent PoC (Proof of Concept) to AI multi-agent production-ready apps with AI agent development services from Belitsoft. We build AI agents, not just scripted chatbots answering questions, but autonomous systems replacing your complex workflows to achieve your automation business goals: more scale, lower costs, and faster strategy execution.

Image Autonomous Decision Making

AI agents can securely read your data in real time, understand the business context, and evaluate complex scenarios to draw logical conclusions.

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Based on those insights, AI agents chain tasks, call APIs dynamically, and take intelligent actions that traditional software simply cannot.

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You can even get a network of multiple AI agents that collaborate, share knowledge, and divide tasks.

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We configure AI agents to process your structured and unstructured data with high accuracy so they deliver reliable outputs to accelerate decision-making (faster time to actionable insights and shorter review cycles).

Image Accelerating ROI & Scalability

When our AI agents automate your repetitive and time-consuming tasks, you eliminate manual labor and can allocate financial resources more effectively, reducing operating and staffing expenses.

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Your team can finally concentrate on high-impact projects that require strategic thinking and creativity.

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Clients who deploy AI agents see savings in HR service delivery costs (up to 60%), in supply chain delays (up to 40%), and more.

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You get AI agents as always-on, uninterrupted support that multitasks during peak times and after hours. As your business grows, they easily manage increasing workloads, reduce wait times, and increase customer satisfaction.

Other AI Software Development Services

Get customized AI solutions quickly

Integrate AI Into Your Business with our API Module

  • Get AI integration with your ERP, financial application, or any other data source within your business
  • Use AI trained specifically on your business information like real-time financial data, transaction history, inventory levels, and customer records to be accurate and relevant
  • Access real-time insights and analytics for financial forecasting, inventory management, customer service, and more
  • We deliver highly secure versions of AI specifically for your business: your private data is never used to train public models like ChatGPT, and it's encrypted

Analytical AI Solutions

  • Increase revenue with real-time insights on data trends gained by cutting-edge ML models as stream processing for handling large real-time data flows and data clustering for speedy, precise data categorization
  • Mitigate business risks using an AI early warning system that employs ensemble and time series ML models to accurately predict trend and detect a pattern in company data and financial reports
  • Grow customer earnings and reduce churn with AI-driven marketing, leveraging ensemble, time series, and computer vision models to analyze customer interactions and preferences smartly, guiding tailored and timely offers
  • Discover and anticipate customer preferences with the AI analytical system that sifts through large datasets for complex patterns
  • Free up your team for strategic initiatives by utilizing ML models to automate tasks such as email segmentation, prioritization, and generating automatic responses to standard inquiries without human oversight
  • Cut operational costs by optimizing resource allocation through real-time employee monitoring with machine learning: classification models to organize activities and NLP for analyzing real-time communication data with customers and colleagues

AI Chatbots

  • Enhance response speed and accuracy, and reduce reliance on live agents with a conversational AI assistant that understands user context and processes complex, multi-intent queries
  • Stay ahead of the competition with a cutting-edge voice bot built on advanced speech recognition and NLP models for effortless voice-based customer interaction
  • Increase customer retention and their long-term spending with an AI chatbot acting as a personal advisor, using NLP to understand context and sentiment, and a customer segmentation ML model to send customized follow-up messages
  • Boost customer engagement with an ML-powered AI chatbot that facilitates smooth cross-channel communication, allowing users to switch effortlessly while maintaining the context and reducing redundancy

Customize with Extra ML Features

Our off-the-shelf solutions are easily tailored to your specific needs by incorporating any of the Machine Learning models we offer



Predictive ML Models to Maximize Business Outcomes

Use the potential of machine learning to predict customer churn, make personalized recommendations for the best product or service (Next Best Offer), and identify early signs of significant future events for risk management.

  • Ensemble ML Model aggregates predictions from diverse models to improve accuracy
  • Time Series ML Model analyzes data points collected in chronological order to understand underlying patterns, trends, and seasonalities in time-stamped data
  • Graph-Based Model recommends products, content, or services by exploring the connections between users and items within a network
  • Context-Based Model provides personalized suggestions based on the user's specific context, such as location or time
  • NLP (Natural Language Processing) enables computers to understand and respond to human language, including sentiment analysis for emotion detection, personalized text recommendations, concise summarization of extensive texts, and creating relevant content

Segmentation ML Models to Personalize Customer Service

Drive customer loyalty and sales with robust ML models that classify customers and deliver targeted content, services, or products.

  • RFM Analysis segments customers using Recency, Frequency, and Monetary value to identify nuanced patterns and predict purchasing behavior
  • Unsupervised Clustering automatically groups customers with similar RFM characteristics without predefined labels, revealing complex hidden patterns in customer data for better segmentation
  • Time Series Clustering categorizes customers according to temporal behavior patterns, such as purchase frequency over time, enabling more tailored marketing strategies

Optimal Control ML Models to Enhance Marketing Efficiency

Make data-driven decisions to control and optimize marketing campaigns, delivering the right content to the right users at the right time, resulting in boosted campaign performance and ROI.

  • Contextual Bandit Model personalizes customer experience by dynamically selecting the most effective options to achieve positive outcomes like clicks or purchases based on user data and behavior (like ads, recommendations, etc.), driving engagement and campaign success
  • Optimization-Based Model maximizes marketing objectives, such as the click-through rate or conversion rate, by efficiently allocating resources while considering limitations like budget or reach

Statistical ML Models to Enhance Financial Decision-Making

Predict and analyze consumer spending habits, strategically manage bill payments and forecast future expenses with sophisticated ML models that can handle large datasets and complex relationships within financial data.

  • Linear Regression Model predicts a value by finding a straight-line relationship between original pieces of data, for example, predicting next month's sales based on the number of customer requests this month
  • Probabilistic ML Model aids in decision-making by evaluating future conditions with probabilities in uncertain situations, like financial risk assessment
  • Non-linear ML algorithms handle complex models with non-linear relationships, like financial modeling, where market behaviors and consumer trends rarely follow linear patterns

How Our Custom AI Software Works with Your Data

Our AI system is built to grow with your needs, operate fast, and manage complex data and tasks. It integrates the latest tech advancements, combines open-source and enterprise technologies, and is flexible enough to be deployed either in the cloud or on-premises.

1

Collecting data from your sources

We carefully collect data from different sources in our Staging Database. It arrives via batch processing tools, continuous streams, or direct API connections.

2

Separate storage for AI analysis data

Our database keeps your main databases quick and handles large data sets. It is equipped with SQL databases, Redis, and RabbitMQ to avoid slowdowns and crashes.

3

Converting data into AI insights in AI core

We use Python, ML frameworks, NLP techniques in the AI Core to refine data and train ML models. Deep learning uncovers complex patterns and optimizes decisions.

4

Implementing AI-driven insights and data

For seamless model-to-app communication we use FastAPI while integrating AI insights into your software via APIs, including OpenAI API or dedicated AI tools.

Technologies and tools we use

AI Development
DATA PROCESSING
Batch
Apache Airflow Image
T-SQL Image
Argo Image
Real-time
Kafka Image
RabbitMQ Image
RestAPI Image
DATABASES
PostgreSQL Image
SQL Server Image
Redis Image
ML DEVELOPMENT
Core
Python Image
NumPy Image
SQL Alchemy Image
Pandas Image
ML
Scikit learn Image
Deep learning
PyTorch Image
TensorFlow Image
PyTorch geometric Image
NLP
spaCy Image
NLTK Image
Hugging Face Image
Other
GENSIM Image
OpenCV Image
DEPLOYMENT & INTEGRATION
FastAPI Image
Apache Airflow Image
Argo Image
Docker Image
Celery Image
TensorFlow Lite Image
ONNX Image
TensorRT Image

Frequently Asked Questions

To create AI software, you need developers who can build an app or website around the AI and run it in production, prepare company data so the AI can use it, and write instructions the AI follows. If you augment AI developers, the cost depends on the hourly rate and the time your project takes to complete. If you need to train your own model, it's required to use specialized servers that are also rented by the hour, and how many hours are needed depends on your project.
You do not usually build AI entirely from scratch. You buy AI models from OpenAI, Google, or Anthropic. You pay per token you send to and receive from the AI, where each 1M tokens has its own price depending on the AI provider. As you get more users, this API bill scales with your traffic.
You also have to pay for moving your AI data out of your cloud provider to your users over the internet. This costs cents per gigabyte of outbound traffic, but if you stream large files or audio, this is a major recurring cost.
You must also budget for proving your AI is not hallucinating or violating GDPR or HIPAA, protecting your software against prompt injection attacks (where hackers trick your AI into giving up private data), and paying for expensive software to manage the infrastructure (like Datadog for monitoring or Snowflake for databases).

AI software development services often exceed timeline expectations. Implementing AI-driven development solutions can take around two weeks or more for Proof of Concept (POC) and three to six months or longer for full integration. Contact us for a personalized assessment of the timeline needed for your AI solution!

Portfolio

AI Agent Development: Chrome Extension as In-App Guidance Tool For ERP and CRM
AI Agent Development: Chrome Extension as In-App Guidance Tool For ERP and CRM
For an ecommerce client, we developed an AI Chrome extension that provides in-app guidance - a digital adoption tool to help the founder train staff on best practices and reduce high turnover. While one of their systems, Microsoft Dynamics 365 Business Central, has built-in Copilot agents that automate tasks, these agents don't teach employees how to navigate the interface.
Bespoke Conversation Intelligence Software with Speech Analytics for Call Center Quality Assurance (Automotive Industry)
Bespoke Conversation Intelligence Software with Speech Analytics for Call Center
Belitsoft implemented a custom AI-powered conversation intelligence and speech analytics system to automatically analyze call center conversations for a major auto parts distributor with 8,000 employees, 500 branches, and over 400,000 calls monthly. In three months, the implementation delivered 75,000 euros in additional revenue and two staff positions were cut.
Custom AI Voice-Based Coach Development (Assessment Automation)
AI Voice-Based Coach
Our client is a company involved in software development, IT services, and technology innovation. Over six weeks, we developed an MVP. It provides an efficient knowledge assessment for employees by automating test creation.
Custom Training Software based on Chatbot with Coaching/Mentoring Functionality
Custom Training Software to Develop Leadership Skills in Employees
Our Client, Jeff Otis, a US entrepreneur, turned to Belitsoft to build a unique personal leadership development program. Now, we have launched an MVP of this game-changing personalized interactive web platform with coaching/mentoring functionality.
Custom Chat-Bot and SAAS Web Platform For Lead Generation
Custom Chat-Bot and SAAS Web Platform For Lead Generation
For our client, chief executive officer of a startup company from Germany, we successfully developed a chatbot to convert website visitors to leads and a database application to store them.

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Contact us

USA +1 (917) 410-57-57
700 N Fairfax St Ste 614, Alexandria, VA, 22314 - 2040, United States

UK +44 (20) 3318-18-53
26/28 Hammersmith Grove, London W6 7HA

Poland +48 222 922 436
Warsaw, Poland, st. Elektoralna 13/103

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