[{"data":1,"prerenderedAt":160},["ShallowReactive",2],{"svc-detail-multimodal-ai":3,"sub-work-multimodal-ai":140,"ill-services\u002Fmultimodal-ai":159},{"slug":4,"short":5,"title":6,"tagline":7,"answer":8,"summary":9,"icon":10,"subServices":11,"useCases":57,"benefits":73,"process":79,"tools":95,"industries":108,"faq":114,"relatedWork":130,"relatedServices":132,"seo":137},"multimodal-ai","Multimodal AI","Multimodal AI development services","Text, image, audio and video, understood and generated together.","Multimodal AI services build systems that work across text, images, audio and video: text-to-image and image-to-text, video understanding and generation, audio AI, vision-language applications, AI avatars and animation. Marketing, e-commerce, media, training and support teams use them to create content at scale, understand visual and spoken input, and offer richer product experiences.","Text-to-image, image-to-text, video AI, audio AI, vision-language systems, AI avatars, AI video generation and animation: production pipelines with brand controls, review steps and rights management.","globe",[12,16,20,24,28,32,37,41,45,49,53],{"slug":13,"name":14,"text":15},"text-to-image","Text-to-image generation","On-brand image generation pipelines for products, campaigns and content, with style control and approval flows.",{"slug":17,"name":18,"text":19},"image-to-text","Image-to-text & captioning","Describe, tag, caption and extract structured data from images at scale for catalogues, accessibility and search.",{"slug":21,"name":22,"text":23},"video-ai","Video understanding AI","Transcribe, summarise, search and moderate video; detect scenes, objects and events.",{"slug":25,"name":26,"text":27},"audio-ai","Audio AI","Speech, music and sound understanding and generation: transcription, dubbing, voice, sound classification.",{"slug":29,"name":30,"text":31},"vision-language-systems","Vision-language systems","Applications that reason over images and text together: visual QA, document understanding, product assistants.",{"slug":33,"name":34,"text":35,"page":36},"ai-avatars","AI avatars","Talking-head and animated avatars for training, support and marketing video with lip-sync and multilingual voices, built with consent and disclosure.",true,{"slug":38,"name":39,"text":40},"ai-video-generation","AI video generation","Generate and edit short-form, explainer and product videos from scripts, images and templates.",{"slug":42,"name":43,"text":44},"ai-animation","AI animation","Motion, character and scene animation pipelines that cut production time for creative teams.",{"slug":46,"name":47,"text":48},"multimodal-assistants","Multimodal assistants","Assistants that accept photos, voice and documents and reply with text, images or speech.",{"slug":50,"name":51,"text":52},"ai-dubbing-localisation","AI dubbing & localisation","Translate and re-voice video and audio content while preserving timing and speaker identity.",{"slug":54,"name":55,"text":56},"generative-media-pipelines","Generative media pipelines","Batch generation, review, versioning and rights tracking for large volumes of AI-created media.",[58,61,64,67,70],{"title":59,"text":60},"Product content at scale","Generate and caption product imagery and descriptions for large catalogues, on brand and reviewed.",{"title":62,"text":63},"Training and explainer video","Produce and localise instructional video with avatars and AI voices in days rather than weeks.",{"title":65,"text":66},"Visual support","Customers send a photo; the assistant identifies the product or issue and responds appropriately.",{"title":68,"text":69},"Media search and moderation","Search and moderate large image and video libraries by content, not filenames.",{"title":71,"text":72},"Personalised video","Individualised video messages for sales, onboarding and customer success.",[74,75,76,77,78],"Content production time and cost cut dramatically","Consistent brand output with human approval","New product experiences across image, voice and video","Rights, consent and disclosure handled by design","Pipelines that scale beyond one-off generations",[80,83,86,89,92],{"step":81,"text":82},"Use-case and rights review","Define the outputs, brand rules, consent and licensing requirements, and how humans will review.",{"step":84,"text":85},"Model and pipeline selection","Test image, video, audio and vision-language models on your material for quality, cost and speed.",{"step":87,"text":88},"Pipeline build","Prompt templates, style controls, generation, editing, review and asset management integrated with your tools.",{"step":90,"text":91},"Quality and safety checks","Automated checks for brand, safety and rights, plus human approval where outputs go public.",{"step":93,"text":94},"Scale and operate","Batch workflows, monitoring and cost tracking as volume grows.",[96,97,98,99,100,101,102,103,104,105,106,107],"OpenAI","Google Gemini","Anthropic Claude","Stable Diffusion","FLUX","ElevenLabs","Whisper","HeyGen","Runway","ComfyUI","PyTorch","FFmpeg",[109,110,111,112,113],"retail-ecommerce","saas-technology","professional-services","real-estate-construction","healthcare",[115,118,121,124,127],{"q":116,"a":117},"Are AI-generated images and video safe to use commercially?","Generally yes when produced with models and services whose licences permit commercial use, and when you avoid reproducing protected characters, logos or real people without consent. We document the tools and terms used, add rights tracking to the pipeline and recommend human review before publication. For high-visibility campaigns we can also run similarity checks against known works and keep a record of prompts and seeds for each asset.",{"q":119,"a":120},"How do you keep generated content on brand?","Style references, fine-tuned or LoRA-adapted models on your assets, controlled prompt templates, negative prompts and automated brand checks, followed by an approval step. Consistency improves with a small library of approved examples. Where the brand has strict guidelines we encode them as automated checks (colours, composition, prohibited elements) that run before anything reaches a reviewer.",{"q":122,"a":123},"Can we create an avatar of a real person?","Only with their documented consent, and with disclosure to viewers where required. We build consent, usage limits and revocation into the process, and can watermark outputs. For most training and marketing needs a licensed stock or synthetic avatar is simpler. Where you do use a real person, we keep the consent record, the voice sample and the permitted uses together with the asset so it can be honoured later.",{"q":125,"a":126},"What about languages and localisation?","AI voices, translation and lip-sync now support many languages, so one video can be localised into several with review. We check pronunciation of names and terms and keep a glossary per language. A native speaker reviews the first videos in each language, and their corrections become rules for later batches.",{"q":128,"a":129},"How is quality controlled at volume?","Automated checks for artefacts, safety and brand rules, sampling for human review, versioning of every asset and a feedback loop that adjusts prompts and models. Nothing goes public without the level of review you set. Review effort typically falls over the first weeks as prompts and checks are tuned, so the pipeline gets cheaper as it scales.",[131],"ecommerce-personalisation-plugin",[133,134,135,136],"computer-vision","voice-ai","generative-ai-llm","ai-fine-tuning",{"title":138,"description":139},"Multimodal AI: Video, Image, Audio & Avatars | AIYatch","Multimodal AI services: text-to-image, image-to-text, video and audio AI, vision-language systems, AI avatars, video generation and animation pipelines.",[141],{"path":142,"title":143,"description":144,"industry":145,"services":146,"results":147,"cover":157,"coverAlt":158},"\u002Fwork\u002Fmultimodal-product-catalogue","Multimodal AI catalogue system for a home-and-garden retailer","Vision-language models that turn supplier photos and spec sheets into structured, searchable product listings, with attribute extraction, image tagging and visual search.","Retail & E-commerce",[4,133,135],[148,151,154],{"value":149,"label":150},"~10×","faster new-product listing",{"value":152,"label":153},"~93%","attribute accuracy on the QA sample",{"value":155,"label":156},"+9%","search-to-product-page click-through","\u002Fcovers\u002Fwork\u002Fmultimodal-product-catalogue.svg","Abstract navy cover with a rising cyan course line","\u003Csvg xmlns=\"http:\u002F\u002Fwww.w3.org\u002F2000\u002Fsvg\" viewBox=\"0 0 640 480\" role=\"img\" aria-hidden=\"true\">\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-width=\"5\" stroke-linecap=\"round\" stroke-linejoin=\"round\">\u003Crect x=\"80\" y=\"100\" width=\"110\" height=\"84\" rx=\"12\" stroke-width=\"3.5\"\u002F>\u003Cpath d=\"M92 176L124 138L146 160L160 146L180 170\" stroke-width=\"3.5\"\u002F>\u003Ccircle cx=\"114\" cy=\"124\" r=\"7\" stroke-width=\"3.5\"\u002F>\u003Cpath d=\"M80 240 q9.2 -32 18.3 0 q9.2 32 18.3 0 q9.2 -32 18.3 0 q9.2 32 18.3 0 q9.2 -32 18.3 0 q9.2 32 18.3 0\" stroke-width=\"3.5\"\u002F>\u003Cpath d=\"M92 300H178A12 12 0 0 1 190 312V344A12 12 0 0 1 178 356H171L174 372L156 356H92A12 12 0 0 1 80 344V312A12 12 0 0 1 92 300Z\"\u002F>\u003Cline x1=\"96\" y1=\"318\" x2=\"166\" y2=\"318\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Cline x1=\"96\" y1=\"332\" x2=\"140\" y2=\"332\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Cpath d=\"M190 142C260 142 220 235 240 235\" stroke-width=\"3.5\"\u002F>\u003Cpath d=\"M190 240H240\" stroke-width=\"3.5\"\u002F>\u003Cpath d=\"M190 328C260 328 220 235 240 235\" stroke-width=\"3.5\"\u002F>\u003Ccircle cx=\"320\" cy=\"235\" r=\"80\"\u002F>\u003Cpath d=\"M320 205Q320 235 350 235Q320 235 320 265Q320 235 290 235Q320 235 320 205Z\"\u002F>\u003Ccircle cx=\"320\" cy=\"235\" r=\"8\" fill=\"var(--accent, #0E7490)\" stroke=\"none\"\u002F>\u003Cline x1=\"402\" y1=\"235\" x2=\"436\" y2=\"235\" stroke-width=\"3.5\"\u002F>\u003Cpath d=\"M425.6 241L436 235L425.6 229\"\u002F>\u003Crect x=\"445\" y=\"175\" width=\"135\" height=\"120\" rx=\"14\" stroke-width=\"3.5\"\u002F>\u003Ccircle cx=\"468\" cy=\"205\" r=\"6\" fill=\"var(--accent, #0E7490)\" stroke=\"none\"\u002F>\u003Cline x1=\"484\" y1=\"205\" x2=\"554\" y2=\"205\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Ccircle cx=\"468\" cy=\"235\" r=\"6\" fill=\"var(--accent, #0E7490)\" stroke=\"none\"\u002F>\u003Cline x1=\"484\" y1=\"235\" x2=\"534\" y2=\"235\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Ccircle cx=\"468\" cy=\"265\" r=\"6\" fill=\"var(--accent, #0E7490)\" stroke=\"none\"\u002F>\u003Cline x1=\"484\" y1=\"265\" x2=\"546\" y2=\"265\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003C\u002Fg>\u003C\u002Fsvg>",1792973684832]