Cost Effective and Approachable AI and ML Development Services

Drive your business forward with the power of AI and the expertise of Django Stars. Our AI/ML development services are designed to make it easy for you to add intelligent features to your existing products or build a solid AI foundation from the start.
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Learn how our AI/ML development company can drive your success!
With expertise in Retrieval-Augmented Generation (RAG) and setting up Vector DB, integrations with ChatGPT, Claude, Gemini, and nearly every available LLM model on the market — as well as voice technologies powered by ChatGPT, STT, TTS, Deepgram, and ElevenLabs — we focus on delivering smart, cost-effective AI solutions tailored to fit your unique needs.
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our services

AI ML Software Development Services

At Django Stars, we believe AI doesn’t have to be complex to make a difference. Our team transforms sophisticated AI technologies—like RAG, Vector databases, and voice automation —into accessible, business-ready applications that help you get more out of your data.
Whether you're looking to enhance customer experiences with voice assistants, improve recommendations for your users, or use predictive insights to drive smarter decisions, our AI & ML developers bring the right solutions to your fingertips.
Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG)
how it works
RAG is like giving your AI model access to a custom library of information. It combines traditional search techniques with the powerful language skills of large AI models, so you get responses that are not only relevant but also rich with context. RAG connects your data with broader knowledge, making it ideal for applications where up-to-the-minute, accurate information is crucial.
where it helps
Perfect for smarter search results and real-time information retrieval, RAG ensures your AI applications are precise, relevant, and ready to answer complex questions.
Large Language Model Integrations (LLMs - ChatGPT, Claude, Gemini)
Large Language Model Integrations (LLMs - ChatGPT, Claude, Gemini)
how it works
Large language models (LLMs) like ChatGPT, Claude, and Gemini have been trained on vast amounts of text to understand and generate language with a human touch. They can handle everything from drafting text to answering complex questions, offering flexibility for all kinds of language-driven tasks.
where it helps
LLMs are a go-to for chatbots, customer service, content creation, and real-time Q&A, giving businesses a powerful way to interact naturally and efficiently with customers.
Voice Assistants and Automation (Powered by ChatGPT, STT, TTS, Deepgram, ElevenLabs)
Voice Assistants and Automation (Powered by ChatGPT, STT, TTS, Deepgram, ElevenLabs)
how it works
Voice assistants combine speech-to-text (STT), text-to-speech (TTS), and language models to enable natural voice interactions. Tools like Deepgram and ElevenLabs provide high-quality audio transcription and synthetic voices, while ChatGPT enables intelligent conversation.
where it helps
Great for customer support, virtual assistants, and hands-free tasks, voice automation boosts engagement and streamlines workflows, allowing users to get things done through simple voice commands.
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Predictive Analytics
Predictive Analytics
how it works
Predictive analytics uses algorithms and machine learning to analyze historical and current data, spotting trends to predict future outcomes. It’s all about finding patterns to help guide decision-making.
where it helps
Useful for inventory management, demand forecasting, and financial planning, predictive analytics lets businesses stay ahead by making data-backed decisions that support growth.
Chatbots
Chatbots
how it works
Chatbots are AI-powered conversational agents that simulate human conversation. They can handle customer queries, guide users, and automate common interactions, making them ideal for customer service.
where it helps
Chatbots improve customer engagement, handle repetitive questions, and reduce the load on support teams, making them a valuable tool for efficient, round-the-clock service.
Demand Forecasting Models
Demand Forecasting Models
how it works
Demand forecasting models use historical data to predict future demand trends. They’re powered by machine learning algorithms that learn from past data to forecast with accuracy.
where it helps
Especially useful in retail and supply chains, demand forecasting helps businesses manage inventory, reduce waste, and keep up with market trends, creating a more efficient operation.
API Integration for Generative Models
API Integration for Generative Models
how it works
API integration allows businesses to access powerful generative models—like OpenAI’s GPT, Google’s Gemini, and Anthropic’s Claude—directly through their own systems. This means companies can add features like content generation, summarization, and real-time Q&A without building their own infrastructure
where it helps
Perfect for businesses wanting to add advanced AI features like automated content creation and real-time responses, API integration provides a direct link to top-tier AI functionalities that can transform user engagement across industries.

Transform Challenges into Opportunities with AI/ML development company!

Approach

Our Approach to AI/ML Development Services

Our approach to AI/ML development is simple: we make AI work for you, not the other way around. By integrating AI smoothly into your existing systems, we ensure you can have all the benefits without the high costs or complexity.

Whether we’re using RAG to retrieve relevant information, setting up scalable storage with Vector DB, or building a voice assistant tailored to your brand, our team prioritizes maximizing your ROI while keeping things straightforward and impactful.

Enhanced AI & ML Development Process

01/
Project Assessment

Our AI & ML developers thoroughly analyze your business, identifying the primary challenges and opportunities for applying AI. We assess the feasibility of different AI solutions (such as LLMs, RAG, recommendation engines, or predictive analytics) based on the problem’s complexity, data availability, and projected business impact. In cases where AI/ML may not be the best solution, we advise on alternative approaches, ensuring your resources are used efficiently.

02/
Development Planning

Unlike typical approaches to AL ML services, we develop a detailed, step-by-step plan tailored to the service type. This includes timeframes, necessary technologies, data requirements, and expected outcomes. For instance, projects involving RAG and vector databases will emphasize data integration and database structure, while LLM integrations may focus more on API setups and user interaction design.

03/
Data Exploration and Modeling

This stage can be divided into different processes depending on the type of service:

For Chatbots:

We utilize NLP techniques to clean and structure text data, focusing on training models that understand language nuances. This often involves fine-tuning pre-trained language models to align with your business tone and customer sentiment requirements.

For RAG and Vector DB Solutions:

We utilize NLP techniques to clean and structure text data, focusing on training models that understand language nuances. This often involves fine-tuning pre-trained language models to align with your business tone and customer sentiment requirements.

04/
Model Integration and Maintenance

This phase also varies depending on the AI/ML service:

For Voice Assistants and Automation:

Integration involves linking STT, TTS, and LLMs with your existing systems to provide seamless voice interactions. We test for real-time responsiveness and ensure voice models are accurate and user-friendly. Maintenance includes monitoring the assistant’s interactions and improving based on customer feedback.

For Demand Forecasting and Predictive Analytics:

Integration focuses on creating data pipelines that allow real-time data feeding to the model. Maintenance includes updating models with new data and adjusting them to account for shifts in demand or market trends.

For API Integration of Generative Models:

We integrate generative models via APIs, ensuring that the applications can interact smoothly with LLMs like ChatGPT or Gemini. Maintenance involves tracking model performance, updating versions, and adjusting API settings as your requirements evolve.

05/
Continuous Support and Growth Enablement

Upon solution deployment, our AI/ML consulting services remain available to support evolving needs, including model upgrades to newer versions, or migration to alternative models better suited for your goals. We also offer customization for larger data sets and scalability adjustments. This ongoing support ensures your AI-driven solutions continue to deliver value as your business and data evolve.

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solutions

Why you need AI and ML solutions for your business

Fast Validation and Cost-Effective Product Enhancement
Technical Explanation

Using advanced AI techniques like RAG, Django Stars empowers startups to rapidly validate concepts by gathering relevant data and generating insights in real time. Integrating with large language models (LLMs) like ChatGPT, Claude, and Gemini, Django Stars’ AI/ML tools create a feedback loop that lets startups test ideas with minimal initial data, enhancing their MVP with insights drawn from real-world use.

Business Benefits

Startups can use Django Stars’ AI/ML solutions to quickly assess product-market fit and refine features based on user feedback, saving both time and development costs. With AI-driven MVPs, startups can avoid lengthy and costly traditional development cycles, making it feasible to pivot or adjust product features based on what resonates with early users. This agility means faster validation of ideas, smarter resource use, and the ability to adapt to user needs without significant capital investment.

Engaging, Scalable Customer Experiences
Technical Explanation

To help scaleups boost customer engagement, Django Stars integrates predictive analytics, demand forecasting models, and chatbots. Powered by RAG and advanced LLMs, these tools personalize customer interactions in real time by analyzing user behavior and preferences. Additionally, voice technologies using ChatGPT, STT, TTS, Deepgram, and ElevenLabs enable conversational interfaces that create a responsive and adaptive experience, keeping customers engaged and valued.

Business Benefits

As a scaleup, keeping customers engaged while expanding can be challenging. AI-driven personalization tools from Django Stars ensure that each customer feels understood and valued, fostering loyalty and satisfaction without requiring extensive manual oversight. Scaleups can maintain a high level of engagement and improve user satisfaction—critical for  reducing churn and increasing retention—without a surge in operational costs. This AI-powered customization not only scales seamlessly but also builds brand affinity as users feel a tailored, responsive experience.

Streamlined Operations and Predictive Insights for Efficiency
Technical Explanation

By integrating AI and ML solutions like predictive analytics and machine learning models, Django Stars empowers startups and scaleups to automate routine tasks, forecast maintenance, and make data-driven decisions. Through seamless integrations with technologies like Retrieval-Augmented Generation (RAG), we enable efficient information retrieval and management. Additionally, predictive models analyze demand and supply data to streamline operations, improve supply chain management, and forecast market trends.

Business Benefits

Startups and scaleups benefit from Django Stars’ AI-driven operational efficiency. Automating processes and predicting maintenance needs allow lean teams to handle growing complexity without scaling resources proportionately, reducing overhead and making it easier to adapt to changes in demand. Scaleups, in particular, can optimize supply chains, manage inventory more effectively, and reduce downtime. These efficiencies result in reduced operational costs and the agility needed to pivot or adapt rapidly to market shifts, setting a strong foundation for sustainable growth.

Discover how our AI/ML developers can enhance your product
clutch raring 4.8/5
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For Small Businesses
Boosting Efficiency and Customer Connections without Breaking the Bank
How It Works

Django Stars uses accessible AI tools like RAG, and voice technologies to help small businesses make smart, data-driven choices affordably. With integrations from ChatGPT, Claude, and other large language models, we make it easy for small businesses to add advanced features—like chatbots—without needing a big-budget setup. Our voice assistants and API automation allow businesses to handle customer inquiries and repetitive tasks quickly and effectively.

Why It Matters

For small businesses working with limited resources, these AI solutions can help them compete on a larger scale. By integrating AI/ML, small businesses can give customers a more personalized experience, improve response times, and create a service level that feels polished and professional. With automation, owners and staff are free to focus on growth areas instead of daily tasks, making this a cost-effective and strategic investment. It’s all about boosting customer satisfaction and efficiency without a huge upfront cost, setting up a solid foundation for growth.

For Medium-Sized Businesses
Smoother Operations and Smarter Decisions
How It Works

Django Stars equips medium-sized businesses with AI tools like RAG for easy data retrieval, self-hosting Vector DB for secured data storage, and predictive models for real-time analysis. These tools help businesses automate inventory management, predict demand, and streamline logistics. On the customer side, chatbots and voice assistants powered by advanced language models help businesses engage with clients at a more personal level, even as they grow.

Why It Matters

For medium-sized businesses, Django Stars’ AI solutions offer a path to run operations more smoothly, save time, and understand customers better. With predictive models that can forecast demand and monitor inventory, companies can boost productivity and reduce costs without needing a larger workforce. Data-driven insights make decision-making faster and more accurate, allowing businesses to scale confidently and stay ahead of the competition.

For Enterprise Businesses
Advanced AI for Market Leadership and Smart Data Management
How It Works

Django Stars brings robust AI solutions to large enterprises, including RAG and sophisticated voice technologies. By integrating powerful models like ChatGPT, Claude, and Gemini, we help enterprises handle large-scale data management, support multi-channel customer interactions, and perform detailed market analysis.

Why It Matters

For enterprises, Django Stars’ AI solutions unlock the power of vast data sets, turning them into actionable insights across the organization. With predictive analytics, companies can optimize supply chains, improve efficiency, and stay agile in a rapidly changing market. AI-powered customer engagement tools, like voice and chatbot solutions, allow enterprises to deliver a personalized experience at scale, fostering loyalty and strengthening market presence. Automated workflows lighten the load on teams, allowing the company to operate with flexibility and continuously innovate, securing a competitive edge.

Achieve More with Efficient AI/ML Solutions from Expert Developers
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Roksoliana Liubachivska
Roksoliana Liubachivska
Business Development Manager
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solutions

Industry-specific AI/ML Solutions We Deliver

Fintech
Logistics
Travel
E-Commerce
Edtech
Proptech
Healthcare
Fintech
Fintech
Fraud Detection:
Predictive analytics and anomaly detection models to identify suspicious transactions in real-time.
Personalized Financial Advice:
LLM-based chatbots to offer tailored financial advice and product recommendations.
Voice-Activated Banking Assistants:
Voice assistants for secure, hands-free banking and account inquiries.
Risk Assessment and Credit Scoring:
Predictive models analyzing user data to assess creditworthiness and risk.
Document Processing:
LLM and NLP for automated document processing, reducing manual efforts in loan and compliance checks.
Logistics
Logistics
Demand Forecasting:
Predictive analytics models to anticipate shipping and delivery demands, optimizing resource allocation.
Route Optimization:
Real-time recommendation engines for optimized route planning, reducing costs and delivery times.
Inventory Management:
Demand forecasting and vector databases for efficient stock management and minimizing overstock.
Automated Customer Support:
AI-driven chatbots to handle customer inquiries on shipment status and delivery timelines.
Predictive Maintenance:
Predictive models to forecast vehicle and equipment maintenance needs, reducing downtime.
Voice-Assisted Workflow Management:
Voice assistants for hands-free, in-transit updates and task management.
Travel
Travel
Personalized Trip Recommendations:
Recommendation engines to suggest tailored travel packages, flights, and accommodations.
Customer Sentiment and Experience Analysis:
Sentiment analysis to gauge traveler satisfaction and adjust offerings accordingly.
AI Travel Assistants:
Chatbots and voice assistants to help users plan trips, check bookings, and receive personalized itineraries.
Real-Time Travel Updates:
RAG and LLM integrations to provide real-time travel updates, weather forecasts, and destination insights.
Dynamic Pricing Models:
Predictive analytics to optimize pricing based on demand, seasonality, and booking trends.
Content Generation for Travel Marketing:
Generative models for creating destination content and personalized marketing emails.
E-Commerce
E-Commerce
Product Recommendation Engines:
AI-driven engines to suggest products based on user behavior, boosting sales and engagement.
Customer Feedback Analysis:
Sentiment analysis on reviews and feedback to improve product offerings and customer service.
Visual and Voice Search:
RAG and vector databases for accurate visual search, plus voice-enabled search for hands-free shopping.
Chatbots for Customer Service:
LLM-based chatbots for handling product inquiries, order tracking, and returns.
Inventory Demand Forecasting:
Predictive models to optimize stock levels and anticipate product demand.
Dynamic Pricing Adjustments:
Predictive analytics to offer competitive, data-driven pricing based on current market demand.
Edtech
Edtech
Personalized Learning Paths:
Recommendation engines to create customized learning experiences based on student progress and preferences.
Real-Time Tutoring Assistants:
Chatbots and LLMs to offer immediate support to students, answering questions and guiding learning.
Content Creation for Courses:
Generative models to create engaging learning materials and quizzes based on curriculum requirements.
Voice-Activated Learning Tools:
Voice assistants for hands-free learning, allowing students to engage with lessons verbally.
Proptech
Proptech
Virtual Property Assistants:
Voice assistants and chatbots to answer property queries and offer virtual tours.
Market Trend Analysis:
Predictive analytics to assess market conditions, helping buyers and investors make informed decisions.
Automated Document Processing:
LLMs for streamlining property paperwork, leases, and contracts.
Property Maintenance Prediction:
Predictive models for forecasting maintenance needs and costs based on usage data.
Healthcare
Healthcare
Predictive Analytics for Patient Care:
Models to forecast patient needs, predicting appointments, medication adherence, and risk levels.
Personalized Health Recommendations:
LLM-based recommendation engines to offer lifestyle and treatment advice tailored to individual patients. Medical Record Management and
Retrieval:
RAG for efficient storage and retrieval of patient records.
AI-Driven Virtual Health Assistants:
Chatbots and voice assistants to guide patients on health-related queries and scheduling.
Content Generation for Patient Education:
Generative models to create educational materials tailored to patient conditions and treatments.
Achieve More with Efficient AI/ML Solutions from Expert Developers
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case study

Our Portfolio: Real Results, Real Impact

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Powering Remote Learning, Simplified

IllumiDesk came to us to make virtual education more effective, and we made it happen. We built a platform that integrates effortlessly with learning management systems, offering a smooth, interactive environment for online courses. With features like automated notebook grading and secure user management, IllumiDesk is now a key player in remote education.

case image

AI-powered SaaS solution for logistics businesses

A feature-rich system to enable companies optimize garbage disposal process. When our client reached us, it was an ambitious US-based logistics startup aiming to redesign the way garbage disposal industry works. We’ve started our cooperation with a comprehensive pre-development discovery to shape the vision of the the product.

Why Choose Us?

Your ideal AI and ML development company

As your go-to partner for AI and ML, Django Stars brings in-depth expertise to every project. With a Python-centric approach since 2008, we have chosen the best tools and frameworks to ensure our solutions are robust, scalable, and optimized for AI applications.

Python’s flexibility and efficiency make it the top choice for AI/ML development, and our skilled Python team leverages this advantage to its fullest potential. From RAG to voice solutions using ChatGPT, our experience with these technologies uniquely positions us to turn your current products into innovative, future-ready tools.

Whether you’re focused on automation, gaining deeper data insights, or connecting with customers on a new level, our AI/ML development services provide custom solutions that help you grow and succeed.

clutch rating 4.8/5

Frequently asked questions

We compose development teams according to your business specifics and the situation your tech solution faces — and assign only middle and senior developers guided by an experienced team leader.