Service

LLM Development Services

Our LLM development services help businesses build and integrate AI-powered applications that understand, process and generate natural language. We develop custom LLM solutions for tasks such as text processing, content generation, information extraction and conversational experiences, while selecting and integrating the models that best fit your business requirements. From initial use case and architecture to testing, deployment and optimisation, we support the complete LLM application development process.

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    What Are Large Language Models (LLMs)?

    A nagy nyelvi modellek (Large Language Models, LLM-ek) olyan mesterségesintelligencia-modellek, amelyeket az emberi nyelv megértésére, feldolgozására és generálására fejlesztettek ki. Képesek szövegek elemzésére, kérdések megválaszolására, tartalmak létrehozására és összefoglalására, információk kinyerésére, adatok kategorizálására, valamint természetes nyelvű interakciók támogatására a szoftveralkalmazásokban.

    A vállalkozások számára az LLM-ek meglévő rendszerekbe integrálhatók, vagy egyedi AI-alkalmazások alapjául szolgálhatnak. Ez lehetővé teszi a nyelvi feladatok automatizálását, a szoftverekkel való felhasználói interakciók fejlesztését, valamint új, mesterséges intelligenciára épülő funkciók kialakítását a konkrét üzleti igényeknek megfelelően.

    When Does Your Business Need an LLM Solution?

    An LLM solution can be valuable when a significant part of your business processes involves understanding, creating or processing language. Tasks that require employees to repeatedly read, write, summarise, classify or extract information from text can often be supported or partially automated with large language models.

    Custom LLM solutions can also add natural-language capabilities to existing software, helping users interact with complex systems and information in a simpler and more intuitive way.

    Your Team Handles Large Volumes of Text

    Employees regularly need to review, summarise, categorise or extract information from emails, documents, reports and other text-heavy content.

    Repetitive Language Tasks Take Too Much Time

    Teams repeatedly create similar responses, summaries, descriptions or other written content that could be supported by an LLM-powered workflow.

    Your Software Needs Natural-Language Capabilities

    You want users to interact with your application through natural language instead of relying only on traditional menus, forms or search functions.

    You Want to Add AI Capabilities to Existing Software

    Your existing product or business system could benefit from features such as text generation, summarisation, classification, information extraction or conversational interactions.

    What Business Problems Can LLMs Solve?

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    Time-Consuming Text Processing

    LLMs can help analyse, summarise and organise large volumes of emails, reports, documents and other text-based information.

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    Repetitive Content Creation

    Businesses can use LLMs to support the creation of recurring content such as responses, descriptions, summaries and other business communications.

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    Manual Information Extraction

    LLMs can identify and extract relevant information from unstructured text, reducing the need for employees to review documents manually.

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    Complex Text Classification

    LLMs can categorise, label and route text-based information based on its meaning and context rather than relying only on predefined keywords.

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    Limited Natural-Language Interaction

    LLMs can add conversational and natural-language capabilities to software, making it easier for users to interact with applications and complete tasks.

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    Difficult-to-Scale Language-Based Workflows

    Processes that depend heavily on reading, writing or interpreting text can become difficult to scale manually. LLM-powered workflows can support teams as the volume of language-based work increases.

    Our LLM Development Services

    LLM fejlesztési szolgáltatásaink magukban foglalják az egyedi üzleti igényekhez igazított, nagy nyelvi modellekre épülő megoldások tervezését, fejlesztését és integrálását. Segítünk a vállalkozásoknak LLM-funkciókat bevezetni új vagy meglévő szoftvereikbe, az egyedi alkalmazásfejlesztéstől és modellintegrációtól az optimalizálásig és az éles bevezetésig.

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    Custom LLM Application Development

    We design and develop custom LLM-powered applications around your business processes, users and software requirements, from initial concept to production-ready implementation.

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    LLM Integration Services

    Our LLM integration services connect large language models with existing web applications, internal platforms and business software to introduce new AI-powered capabilities without rebuilding the entire system.

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    LLM API & Model Integration

    We integrate suitable language models and APIs into software applications and design the surrounding application logic required to use them effectively.

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    Prompt & LLM Workflow Development

    We design prompts, structured outputs and multi-step LLM workflows that help models perform specific business tasks more consistently and reliably.

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    LLM Evaluation & Optimisation

    We test LLM outputs against relevant scenarios and requirements, then optimise prompts, model configurations and application logic to improve quality, consistency and performance.

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    LLM Application Modernisation

    We help improve existing LLM-powered applications by reviewing their architecture, integrations and AI workflows and implementing changes needed for more reliable production use.

    What Types of LLM Applications Can We Build?

    Large language models can power a wide range of business applications beyond simple chatbots. As an LLM development company, we build solutions around specific business processes, user needs and existing software environments.

    AI Assistants & Copilots

    We build LLM-powered assistants and copilots that help users complete tasks, generate content, interpret information and interact with software through natural language.

    Content Generation Applications

    We develop applications that generate, rewrite, summarise or adapt text for specific business purposes while following defined instructions and workflows.

    Document Processing Applications

    LLMs can analyse unstructured documents, extract relevant information, create summaries and transform text into structured outputs for further processing.

    Text Classification & Routing Systems

    We build LLM applications that understand and categorise incoming text, helping businesses classify requests, route information and support text-heavy workflows.

    Conversational Applications

    We develop natural-language interfaces that allow users to interact with digital products, services and software through conversational experiences.

    LLM-Powered Software Features

    We integrate capabilities such as summarisation, text generation, information extraction and natural-language interaction directly into existing web, mobile and business applications.

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    Caspar

    Caspar Cloud is a case management system built for organisations that are looking after the elderly, sick or other people who cannot take care of themselves.

    Custom Software Development • IT Staff Augmentation • United Kingdom • Healthcare

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    Fyld

    Fyld enables fieldworkers to survey job sites with their smartphone or tablet, upload pictures, audio, and video content to the system.

    IT Staff Augmentation • United Kingdom • Infrastructure

    Grandio

    Grandio is a web and mobile application for a Hungarian asset management firm that provides secure access to portfolio values and related data, with RabIT delivering ongoing support, shared QA, and agile development packages.

    Custom Software Development • Mobile Application Development • Web Application Development • Hungary • Advisory and Financial Services

    Rentkey

    Rentkey is a modern, scalable bilingual web application built for international markets, designed to efficiently manage complex business workflows, document handling, and automated processes within a single platform through Scrum-based development.

    Web Application Development • Hungary • Real Estate

    Our LLM Development Process

    Business Needs & Use Case Discovery

    We identify the business problem, target users and processes where an LLM solution can provide practical value.

    1

    Requirements & Model Assessment

    We define the functional and technical requirements and evaluate which language models and implementation approach best fit the use case.

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    LLM Architecture & Solution Design

    We design the application architecture, model interactions, integrations, workflows and data flows required for the solution.

    3

    LLM Development & Integration

    We build the LLM-powered functionality, develop the required workflows and integrate the solution with your existing software and systems.

    4

    Testing, Evaluation & Optimisation

    We test model outputs using realistic scenarios and evaluate quality, consistency, performance and reliability before refining the solution.

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    Deployment & Continuous Improvement

    We deploy the LLM application into the target environment and support ongoing monitoring and optimisation as requirements, usage patterns and AI models evolve.

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    Frequently Asked Questions

    Still have questions?

    Let's Talk

    LLM development services involve designing, building, integrating and optimising software applications powered by large language models. These services can include custom LLM applications, model and API integration, prompt and workflow development, evaluation, testing and production deployment.

    Large language models can support business tasks that involve understanding, processing or generating language. Common applications include text generation, summarisation, information extraction, classification, conversational interfaces, document processing and AI-powered features within existing software.

    An LLM is a type of AI model designed primarily to understand and generate language, while generative AI is the broader category of AI technologies that create new content such as text, images, audio, video or code. LLMs are therefore one of the technologies used to build generative AI applications.

    Yes. LLM integration services can add language-model capabilities to existing web applications, mobile applications, internal platforms and business software. Depending on the use case, this can include text generation, summarisation, classification, information extraction or natural-language interfaces.

    Not necessarily. Many business applications can be built using existing models and APIs, with the surrounding software, prompts, workflows and integrations customised for the specific use case. Training or fine-tuning a model may be considered when the requirements justify it, but it is not necessary for every LLM application.

    LLM development is the broader process of building applications that use large language models. RAG development is a more specific approach that enables an LLM application to retrieve relevant information from external sources, such as company documents or knowledge bases, before generating a response.

    The right model depends on factors such as the use case, required output quality, response speed, context requirements, integration environment, privacy considerations and operating costs. An LLM development company should evaluate these requirements rather than automatically using the same model for every application.

    LLM applications should be tested using realistic inputs and clearly defined evaluation criteria. Testing can assess output quality, consistency, instruction following, error handling, performance and how the application behaves in edge cases before it is deployed to users.

    The security of an LLM application depends on its architecture, model provider, integrations and how data is handled. Production systems should consider access controls, sensitive-data handling, API security, logging and the information that is sent to external model providers as part of the overall application design.

    The development timeline depends on the complexity of the use case, required integrations, application functionality and testing requirements. A focused LLM feature or prototype can require substantially less development than a complex production system with multiple integrations, workflows and security requirements.

    Get in touch with us

    Contact Information

    Let’s discuss your project!

    Sales

    +44 20 3807 2835 - United Kingdom

    +1 (424) 238-7060 - United States

    +36 70 620 1660 - Hungary

    [email protected]

    California, 90401 Santa Monica, Santa Monica Blvd Suite 222.

    Hungary, 6724 Szeged, Cserzy Mihály street 30/B

    Hungary, 7623 Pécs, Tüzér street 13.

    Hungary, 1065 Budapest, Bajcsy-Zsilinszky Blvd 57.

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