What Ximilar does

Ximilar s.r.o. is a Brno, Czech Republic-based computer vision company that provides image recognition, visual search, and image processing capabilities primarily via REST API. Founded circa 2013, the company operates with a 1–10 person team and serves clients across more than 40 countries, with a cumulative footprint of 15 billion+ images processed. Its product portfolio combines vertical-specific solutions — Fashion Tagging, Home Decor Tagging, Stock Photo AI, and Visual AI for Collectibles (covering trading cards, sports cards, stamps, coins, comics, banknotes) — with horizontal capabilities including Visual Search, Image Tools (Upscaler, Background Removal), AI Product Description generation, and Vision Language Models. Underlying technology relies on convolutional neural networks, GAN-based super-resolution, and OCR, deployed on Kubernetes with NVIDIA GPU infrastructure and ISO 27001/9001/14001/45001/20000-certified EU data centers in Prague.

The go-to-market is API-first and product-led: developers and businesses self-register at app.ximilar.com, consume a free 3,000-credit monthly tier for evaluation, and convert to usage-based paid subscriptions with customizable credit supplies. A no-code Computer Vision Platform extends the offering to non-ML users by enabling custom model training, annotation, and Flows-based orchestration that chains multiple AI models into automated pipelines. Additional revenue comes from custom AI projects sold via direct engagement. Named enterprise customers span collectibles platforms (TCG Sync, Card Ladder), stock photo libraries (Profimedia, StockPhotos with 100M+ image collections), fashion e-commerce (Glami), biotech (Novozyme), and home decor (Photowall).

The business is bootstrapped, with no disclosed funding rounds or institutional investors in the available source material. Growth is driven by incremental product launches (Card Price Search in 2024-07, Card Grading API in 2025-05, Multilingual Text Search in 2025-06) and language expansion into Asian TCG markets. EU data residency, GDPR compliance, and ISO certifications underpin positioning toward regulated and EU-enterprise buyers, while memberships in NVIDIA Inception, Intel AI Builders, and IBM ecosystem programs provide indirect credibility signals.

Name

Ximilar

Legal name

Ximilar s.r.o.

Website

https://ximilar.com

Company type

Private

Founded year

2013

Operating status

Operating

Headcount range

1–10 employees

Short description

Ximilar is a Brno-based computer vision platform that delivers image recognition, visual search, and domain-specific AI APIs for e-commerce, fashion, collectibles, and stock photography clients across 40+ countries.

Ownership category

akta.pro rank

Product category

Computer Vision / Visual AI Platform

akta.pro primary industry

Medical Imaging AI (HDAAAEAH)

akta.pro secondary industry

AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)

Keywords

• Computer vision API
• Image recognition services
• Visual search platform
• Visual AI solutions
• No-code ML platform

Headquarters

HQ city

Brno

HQ country

Czechia

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. API Credits / Usage-based: Primary revenue model based on API credits consumed per request. Each API call (HTTP request) corresponds to a certain number of API credits depending on the method complexity. Free plan provides 3000 API credits monthly. Paid plans offer customizable monthly credit supplies based on expected usage. Additional credit packs available for sudden system loads.
2. Subscription Plans: Monthly subscription plans that determine types of services available, monthly maximum API credits, and limits for various quantities. Plans are customizable based on traffic and needs.
3. Custom AI Solutions: Custom AI project pricing for businesses requiring tailored visual AI solutions beyond standard API offerings. Includes custom model training, deployment, and specialized use cases.

Pricing tiers

Go-to-market motion1 record

Distribution channels3 records

Marketing channels6 records

Core offering

Ximilar provides a visual AI platform delivered primarily as a REST API that enables businesses to perform image recognition, visual similarity search, object detection, and image enhancement. It offers ready-to-use vertical solutions (fashion tagging, home decor tagging, stock photo AI, collectibles recognition with card grading and price search) and a no-code Computer Vision Platform for building custom image classification, regression, and object detection models. Customers access services via API credits, monthly subscriptions, or custom enterprise AI projects.

Product overview

Ximilar is a visual AI platform offering a portfolio of ready-to-use image recognition, visual search, and image processing APIs alongside a no-code Computer Vision Platform for custom model development. The core products span domain-specific verticals — Fashion Tagging, Home Decor Tagging, Stock Photo AI, and Visual AI for Collectibles (with Card Grading and Price Search) — combined with horizontal capabilities: Visual Search Solutions (similarity/reverse image search, product matching), Image Tools (Upscaler, Background Removal), Vision Language Models (VLMs combining LLMs with visual understanding), and Product Description generation. All services are accessible via REST API and can be combined into automated Flows without coding.

Differentiator

Problem solved

Functional benefit

Products and services

• Fashion Tagging AI-powered REST API that detects, categorizes, and attribute-tags fashion apparel, footwear, accessories, and jewelry from images, including color, material, pattern, and style attributes. Built for fashion retailers, brands, and marketplaces that need automated catalog tagging at scale.
• Home Decor Tagging AI service for recognizing and tagging home decor items and furniture including accessories, lighting, textiles, and storage, with category and attribute detection for room/environment classification. Designed for home decor retailers, furniture stores, and interior design platforms.
• Stock Photo AI Photo tagging, visual search, color extraction, and image enhancement service for stock photo libraries, enabling automatic photo categorization and similarity-based image search across large collections of creative photography.
• Visual Search Solutions Suite of visual similarity and search tools including product recommendation (similarity search), reverse image search (search by photo), and image matching for product deduplication and gallery curation. Used by e-commerce and content platforms for visual product discovery.
• Image Tools Image enhancement utilities including Image Upscaler (up to 8x resolution enhancement using classic pixel multiplication or GAN-based generative upscaling) and Background Removal (Precise and Fast models for foreground object isolation with transparent, white, or masked outputs).
• Computer Vision Platform No-code platform for building, training, and deploying custom computer vision models including image classification, image regression, object detection, image annotation, and Flows for combining multiple models into automated pipelines. Supports REST API integration.
• Visual AI for Collectibles AI recognition, identification, grading, and price-search service for collectibles including sports/trading cards (TCG, Pokemon, MTG, Yu-Gi-Oh!, Lorcana), comic books, stamps, coins, and banknotes. Includes the Card Grader for condition and centering analysis and Card Price Search for marketplace pricing.
• Vision Language Models Vision Language Model (VLM) service combining LLMs with visual AI for image understanding, description generation, and multimodal tasks. Includes fine-tuning and deployment capabilities for custom VLM solutions.

Quantifiable outcome

• +380% increased click rate on products using visual search
• +2 more outcomes

Named customers10 records

Segments6 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature9 records

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Clarifai: Independent computer vision AI platform offering image recognition, visual search, and custom model training via API. Closely comparable in business model (API-first CV), target customer base (developers and enterprises), and product scope to Ximilar.
• ViSenze: Visual AI platform specializing in e-commerce visual search and product recommendations. Directly competes with Ximilar's Visual Search and Fashion Tagging products, serving similar retail and marketplace customers.
• Slyce: Visual search and image recognition platform focused on retail and e-commerce use cases. Comparable to Ximilar's Visual Search Solutions product with similar target customers and API-first delivery.
• Imagga: API-first image recognition and visual search platform offering tagging, categorization, and color extraction. Similar size and vertical focus to Ximilar, both targeting developers and e-commerce customers with plug-and-play CV APIs.
• Syte: Visual AI for fashion and e-commerce, offering visual search, product recommendation, and automated tagging. Direct competitor to Ximilar's fashion and home decor vertical solutions with overlapping customer profile.

Broad incumbents

• AWS Rekognition: Amazon's computer vision service offering image and video analysis. Competes with Ximilar on general CV tasks and benefits from bundled AWS pricing, though lacks Ximilar's domain-specific taxonomies for collectibles and fashion.
• Landing AI: Computer vision platform founded by Andrew Ng, focused on enterprise AI deployment including manufacturing and visual inspection. Comparable in custom CV platform capabilities, though more concentrated on industrial inspection use cases than Ximilar's e-commerce focus.
• Microsoft Azure Computer Vision: Enterprise-focused computer vision API within the Azure AI platform. Provides image analysis, OCR, and spatial analysis; competes with Ximilar's platform for enterprise customers but offers broader general-purpose capabilities.
• Google Cloud Vision AI: Hyperscaler computer vision API offering image labeling, OCR, and visual search as part of Google Cloud. Represents the broader competitive set with greater scale but less vertical specialization in fashion, collectibles, and home decor.

Emerging players

• Pictriev: Image analysis service offering facial recognition and visual similarity features. Smaller-scale player with overlapping computer vision technology, though narrower scope than Ximilar's enterprise platform.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/Ximilar_com
• GitHubgithub.com/ximilar-com
• YouTubeyoutube.com/@ximilar
• LinkedInlinkedin.com/company/ximilar
• Facebookfacebook.com/Ximilar

Compliance6 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Ximilar