Ximilar

Collecting Naruto Mythos TCG? Our AI can now read your cards straight from a photo — name, set, rarity, all of it. See how it works 👇

Naruto Mythos Card Recognition – Now in Our TCG AI Ximilar's AI now identifies English Naruto Mythos TCG cards – name, set, rarity, and more, returned directly from the API.

Duel Masters has been huge in Japan for 20+ years but almost impossible to catalog outside it, since it's never had an English print. We taught our AI to read it anyway 👇

Duel Masters Card Recognition – Now in Our TCG AI - Ximilar: Visual AI for Business Our card recognition AI now scans and identifies Japanese Duel Masters trading cards in a single REST API response.

Want to fine-tune your own AI model? It starts with the dataset. Our new guide shows how to build one by hand in the Ximilar platform 👇

How to Build & Manage Instruction Datasets for LLM Fine-Tuning Learn how to build and manage LLM instruction datasets for fine-tuning, with a hands-on real estate example using Ximilar.

Fine-tuning your own LLM? We compared the platforms, tools, and GPU clouds so you don't have to. 👇

The Ultimate Guide to LLM Fine-Tuning Platforms and Tools The best LLM fine-tuning platforms and tools for training, deploying, and inspecting custom large language models — from Unsloth to vLLM.

Inspect and evaluate your fine-tuned vision-language model right inside the Ximilar platform – loss curves, text metrics, and sample-level debugging included. 👇

Vision Language Model Evaluation & Inspection Made Easy From loss curves to GGUF exports – mastering your vision language model evaluation workflow with built-in metrics.

Fine-tune your own vision-language model with the Ximilar API – run it on your own hardware and cut per-inference token costs. Read our step-by-step guide:

Fine-Tuning a Vision Language Model With the Ximilar API Fine-tune your vision-language model with image understanding, run it on your own hardware, and cut your per-inference token costs.

Korean and Thai Pokémon cards are now supported in Ximilar's card recognition API! Native card names, auto-detected language, and full set data. See it in action 👇

Korean and Thai Pokémon Cards Now Supported in Our AI Recognition System - Ximilar: Visual AI for Business Korean and Thai Pokémon cards are now fully supported in Ximilar's collectibles recognition API – with native card names, sets, and more.

Migrating from Clarifai? We put together an overview of the best alternatives for teams currently using it.

Top Clarifai Alternatives in 2026 – Find the Best Fit for Your Visual AI Needs Clarifai shuts down July 17, 2026. See which services Ximilar replaces, where it goes further, and how to migrate fast.

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You can now train vision-language models on Ximilar – without coding. 🚀

Build your own datasets, fine-tune models, and deploy them on your own hardware for full privacy and lower costs.

Vision Language Model Platform Train multimodal vision language models (VLMs) on an AI platform combining computer vision and natural language processing.

We’re launching a codeless platform for vision-language models – the first of its kind. 🚀🧠

Train, fine-tune, and deploy powerful VLMs in no time without writing code.

How to Fine-Tune a Vision Language Model Without Writing Code Ximilar's no-code VLM platform lets you fine-tune small, private AI models and deploy them on any device – no ML expertise required.