Our multimodal AI development services help businesses build intelligent applications that process and interpret text, images, audio and video together. We develop custom multimodal AI solutions by integrating existing AI models into web applications, enterprise systems and business workflows. From visual content analysis and cross-modal search to multimedia information processing, we create software tailored to your specific business requirements.
A multimodális AI fejlesztés olyan szoftveralkalmazások létrehozását jelenti, amelyek többféle információtípust, például szöveget, képet, hangot és videót képesek feldolgozni és értelmezni. A hagyományos, egyetlen adattípussal dolgozó AI-rendszerekkel szemben a multimodális mesterséges intelligencia különböző adatformátumokat kapcsol össze, hogy felismerje az összefüggéseket, értelmezze a kontextust, és relevánsabb válaszokat biztosítson.
A vállalkozások multimodális AI megoldásokat használhatnak például képek és írásos leírások együttes elemzésére, hangfelvételek és kapcsolódó dokumentumok feldolgozására, vagy olyan alkalmazások fejlesztésére, amelyekben a felhasználók különböző formátumokon keresztül kommunikálhatnak a rendszerrel. Ezek a képességek támogathatják az ügyfélszolgálatot, az információelemzést, a belső működést és más üzleti folyamatokat.
Multimodális AI fejlesztési szolgáltatásainkkal segítjük a vállalkozásokat a meglévő AI-modellek egyedi szoftveralkalmazásokba és üzleti rendszerekbe történő integrálásában. A megfelelő technológiák kiválasztására, a meglévő munkafolyamatokhoz való kapcsolódásra és a megbízható működés kialakítására összpontosítunk, anélkül hogy minden esetben új AI-modelleket kellene az alapoktól betanítani.
Businesses increasingly work with information that goes beyond structured data and written text. Product images, voice recordings, technical documentation and visual reports often contain valuable information, but analysing these formats separately can make it difficult to understand the full context.
Multimodal AI solutions become particularly useful when business processes require different types of information to be interpreted together. By combining text, image and audio understanding within existing software, organisations can develop applications that support more complex interactions and information-processing tasks.
Your employees work with a combination of images, written descriptions, audio recordings and other unstructured content. Understanding this information requires switching between formats or manually connecting related details that could be analysed together.
Images or screenshots alone do not always provide enough information to understand a situation. Your business needs applications that can interpret visual content alongside written instructions, technical specifications or supporting descriptions.
Your customers or employees need to communicate with applications using more than text-based inputs. They may want to upload a photo, ask a question about an image or provide spoken instructions within the same interaction.
Your current software can store images, documents or audio files, but cannot interpret their content together. Integrating multimodal AI capabilities can enable applications to process related information across formats and generate context-aware outputs.
Inspection reports often combine photographs, written observations and technical specifications. When these elements are reviewed separately, important details may be overlooked. Multimodal AI solutions can analyse visual evidence alongside supporting descriptions to identify inconsistencies, highlight potential issues and assist with report preparation.
Customers and employees may struggle to find the correct product when they only have a photograph, an incomplete description or a reference image. Multimodal AI can interpret visual characteristics together with text-based requirements to identify relevant products and improve catalogue searches.
Business meetings, training sessions and presentations often contain information across spoken discussions, displayed slides and shared visuals. Multimodal AI can combine speech transcripts with visual content to produce more complete summaries and make specific information easier to retrieve.
Customer support teams frequently receive screenshots, photographs and written explanations of technical problems. Reviewing these inputs manually can slow down issue identification. Multimodal AI can interpret the visual evidence alongside the customer’s description to help classify problems and provide relevant context for support teams.
Engineering teams and field service professionals often need to compare equipment photographs, diagrams, manuals and written instructions. Multimodal AI applications can connect visual observations with relevant technical information to support troubleshooting, equipment identification and maintenance decisions.
Organisations may collect video recordings containing spoken explanations, on-screen actions and other contextual information. Traditional text-based search cannot fully capture this content. Multimodal AI can combine audio transcription with visual understanding to identify relevant moments, generate descriptions and make recorded information easier to search.
Multimodális AI fejlesztési szolgáltatásainkkal olyan egyedi alkalmazásokat készítünk, amelyek képesek a szöveges, képi, hang- és videóalapú információk összekapcsolására és értelmezésére.
Elsősorban meglévő multimodális AI-modellek egyedi szoftverekbe történő integrálására összpontosítunk, a modellek képességeit üzletspecifikus működéssel, strukturált kimenetekkel és megbízható rendszerintegrációkkal egészítve ki.
We develop custom applications that process multiple input formats within a single workflow. These custom multimodal AI solutions can combine visual content, written instructions and audio inputs to support business-specific analysis, information retrieval and user interactions.
We integrate vision-language models (VLMs) into existing software to interpret images alongside text-based instructions. This enables applications to analyse screenshots, photographs and visual reports, answer questions about their content and generate structured outputs based on visual information.
We build solutions that interpret documents containing text, tables, diagrams and embedded images. By combining visual and language understanding, these applications can extract contextual information, analyse relationships between document elements and support more complex information-processing tasks.
We develop applications that combine speech transcription, audio understanding and visual analysis to process recorded meetings, presentations and other multimedia content. These solutions can connect spoken information with relevant visual context to generate summaries, identify key moments and organise recorded content.
We implement search capabilities that connect different types of content, allowing users to retrieve relevant information using text queries, images or combinations of inputs. Depending on the application, these multimodal AI solutions can use multimodal embeddings, semantic search and retrieval mechanisms to identify related content across supported formats.
Our multimodal AI integration services connect existing AI models with web applications, APIs and business platforms. We implement input processing, model orchestration, output validation and performance monitoring to help ensure that multimodal features operate reliably within existing software environments.
Multimodal AI enables businesses to build applications that understand and connect information across different formats, rather than processing text, images or audio separately. Through our multimodal AI development services, we create custom software solutions that combine these capabilities to address specific business requirements and integrate with existing digital platforms.
AI-powered support applications that analyse customer-submitted screenshots or photographs alongside written problem descriptions. These systems can identify relevant visual details, suggest possible causes and retrieve troubleshooting instructions to help support teams resolve issues more efficiently.
Product discovery applications that combine image-based searches with natural language queries. Users can upload a reference image, describe specific requirements and find relevant products based on visual characteristics, product descriptions and catalogue information.
Mobile and web applications that allow field technicians to submit equipment photographs, describe observed issues and retrieve relevant information from technical manuals. Multimodal AI can connect visual observations with documented procedures to support equipment troubleshooting and maintenance decisions.
Knowledge management applications that make recorded training sessions, presentations and instructional videos searchable. By combining speech transcripts, visual content and supporting materials, these platforms help employees locate specific explanations, procedures and information within multimedia resources.
Business applications that analyse uploaded inspection photographs alongside written observations, checklists and reference documentation. These solutions can highlight potential inconsistencies, organise visual evidence and generate structured inspection reports for human review.
Custom research applications that analyse information distributed across reports, charts, images and recorded presentations. By interpreting visual and textual content together, these tools can help users compare findings, extract relevant information and generate summaries supported by the original source materials.
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 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
We identify your business objectives, analyse the types of information your application needs to process and determine where combining multiple data formats can deliver practical value.
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We evaluate available text, image, audio or video inputs and select suitable multimodal AI models based on their capabilities, accuracy, integration requirements and processing costs.
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We develop the application logic, input-processing components and model interactions required to interpret different data formats together and generate relevant, structured outputs.
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We test how the solution handles different input combinations, evaluates visual and contextual information, and produces consistent results. We also assess model limitations, output accuracy and potential processing errors.
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Let’s discuss your project!
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