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Ximilar

Computer Vision · Automation & Workflow · MLOps & InfrastructurePrague, Czech RepublicFounded 2017

Ximilar provides a no-code computer-vision platform offering ready-made and custom image recognition, visual search and AI models via a unified API for retail and manufacturing.

4.7
Average rating
16
Mapped reviews
100%
Profile coverage

Company & commercials

Primary category
Computer Vision
Team size
10-25 employees
Typical budget
$25K - $75K
Primary industry
Retail, Wholesale & Consumer Goods
Provider overview

A clear view of what Ximilar does best.

Structured from supplied company information and mapped to RankGlobal's controlled AI and industry taxonomy.

Company profile
Computer Vision provider for Retail, Wholesale & Consumer Goods

Ximilar provides a no-code computer-vision platform offering ready-made and custom image recognition, visual search and AI models via a unified API for retail and manufacturing. RankGlobal maps its primary capability to Computer Vision within Computer Vision, with supporting relevance to Image Recognition, Object Detection. Its strongest supplied industry signals align with Fashion, Apparel & Luxury Goods, HealthTech Platforms, Real Estate Technology (PropTech).

See how this profile was mapped →
Primary AI category
Computer Vision
Strongest industry signal
Retail, Wholesale & Consumer Goods
Engagement profile·$25K - $75K·10-25 employees·Service
Mapped capabilities · 4 categories
Technology

Platforms, methods and technical signals

KubernetesOpenVINONvidia GPUsDockerTensorFlow

Tools and platforms named in Ximilar's supplied company profile.

Expertise

Named expertise on file

  • Visual AI

    Providing a comprehensive suite of image recognition tools, including fashion tagging, home decor detection, and visual search.

    Visual AIImage RecognitionDeep Learning
  • Custom AI Solutions

    Delivering a no-code platform for businesses to train and deploy their own specialized computer vision models.

    No-Code MLCustom Model TrainingAPI
  • Computer Vision Platform

    Enabling advanced "Flows" where multiple AI models are chained together to solve complex visual workflows.

    Model ChainingObject DetectionWorkflow Automation
RankGlobal provider intelligence
Analyst brief

Mapped Evidence Report

A decision-support view of Ximilar, built from mapped taxonomy signals, evidence confidence, commercial profile and reviews.

Primary feed set
Computer Vision
Compared with
494 providers
Evidence signals used
3 signals
Publication status
Published
Structured evidence signal
100/100
Strong evidence
56th percentile of 494 peers · peer median 100
Profile coverage100
Taxonomy density100
Review signal100
Peer benchmark
How the profile compares

Computer Vision among 494 published providers

Average rating4.69 · median 4.84
Mapped reviews16 · median 10
Profile completeness100% · median 100%
Taxonomy breadth28 · median 21
Signal radar
Multi-dimensional evidence
RatingReviewsCoverageBreadth
This profile (percentile) Peer median
Capability mix
Mapped category signal
Computer Vision100%
Automation & Workflow96%
MLOps & Infrastructure76%
Recommendation Systems76%

Imported mapping confidence for each category — not a share of work, revenue, or delivery volume.

Mapped industries
3 industries on the map
3
Healthcare & Life Sciences43%
Retail, Wholesale & Consumer Goods29%
Construction, Real Estate & Built Environment29%

Share of mapped industry rows on the taxonomy map — not share of work or revenue.

Evidence mix
Mapping grades
Direct32% · 9
Supported32% · 9
Related21% · 6
Adjacent14% · 4

Imported mapping grades across 28 taxonomy mappings — not a search ranking.

RankGlobal analyst interpretation

What the mapped signals say

Ximilar presents as a strong evidence profile for Computer Vision. It ranks in the 56th percentile of 494 published providers in Computer Vision, and 16 reviews back the commercial profile.

Current positioning: P56 evidence quality · P85 industry breadth
Strongest signals
Evidence-backed strength in Computer Vision is the profile's clearest signal in the mapped taxonomy.
Best user fit
Retail, Wholesale & Consumer Goods buyers evaluating Computer Vision at a $25K - $75K engagement size.
Confirm before engagement
Confirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
Client feedback signals
16
Reviews
4.7
Average rating
0
Publicly reshared
Published
Listing status
How this report is calculated →
Capabilities

Evidence-led AI expertise.

Capabilities are listed with their mapping grade (Direct, Supported, Related, or Adjacent).

Industry experience

Where this expertise is most relevant.

Industry mappings are organized by evidence strength so buyers can distinguish demonstrated alignment from broader search relevance.

7 mapped subindustries
Direct · Primary
Fashion, Apparel & Luxury Goods

Source industry: Fashion

98% mapping confidence
Client feedback

What clients say.

Reviews and ratings published for this provider.

We used Ximilar's platform to build a model analyzing X-ray medical images. Even though the models are built on their platform, the data belong to our company. Support from Ximilar has been amazing, with a response time less than 24 hours.

Dr. Reza Farshey, CEO

Ximilar has been a fantastic partner for our card recognition needs. The backend system is highly reliable, and in the time we've been with Ximilar, we haven't encountered a single issue.

Damo Bowland, CEO

Babyndex uses Ximilar's Image Recognition and Annotate, which is excellent. I can easily set up their services myself. Ximilar has helped in improving accuracy and from that day on, it works perfectly.

Zajzon Bodó, Co-founder & CEO

We integrate Ximilar's visual AI into our online product discovery tool. With Ximilar's visual search, we can tailor recommendations of newly arrived products to customers who are likely to be interested.

Filiberto Sosa, CEO

Way better similar results in our 10 million stock images. Customers can find visually similar pictures by uploading a photo. The integration was fast. We recommend it!

Amos Struck, Co-founder

The Ximilar technology has been working reliably for many years on our collection of 100M+ creative photos.

Pavel Macků, CEO
5
Optimizing E-Commerce via High-Accuracy AI Fashion Tagging

The fashion tagging is incredibly accurate. It recognized watches and jewelry with zero errors.

E-comm Manager
5
Enhancing User Discovery via Intuitive AI Visual Search Tools

Visual search changed how our users find content. It’s much more intuitive than text search.

Stock Photo Dir
5
Accelerating Custom Image Classification via Intuitive AI Annotation

We trained a custom image classifier on their platform in days. The UI for annotation is great.

Data Scientist

10 mapped reviews · 16 published quotes

Showing 9 of 16, ranked by display order then recency.

Rating distribution
5
9
4
1
3
0
2
0
1
0

Ratings aggregate 16 reviews at the average shown above.

Transparent profile intelligence

How RankGlobal maps this profile.

RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research— a mapping grade is not a claim of discoverability weight.

Tier 1 · Authoritative
Regulators, registries, certifications, signed client evidence.
Highest evidentiary weight
Tier 2 · Independent
Credible media, industry bodies, partner directories, third-party datasets.
Strong with attribution and recency
Tier 3 · Provider-controlled
Company site, case studies, press releases, structured submissions.
Accepted as a claim; verification raises weight
Tier 4 · Discovery-only
Directory listings, aggregations, and early discovery signals.
Used for discovery; weighted accordingly in ranking

Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.

RankGlobal trust center →
Ready to evaluate this provider

Move from discovery to a focused conversation.

Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.

Before you reach out

What RankGlobal holds on file for Ximilar, and the three things worth confirming directly once you're in touch.

Primary category
Computer Vision
Primary industry
Retail, Wholesale & Consumer Goods
Typical budget
$25K - $75K
Team size
10-25 employees
  1. 1
    Name the use case

    Say which Computer Vision problem you are evaluating, so the research team can route your message accurately.

  2. 2
    Pressure-test the budget band

    The $25K - $75K band on file is a profile-level figure. Ask what a scope like yours actually lands at.

  3. 3
    Ask for a reference

    Request a client reference in Retail, Wholesale & Consumer Goods — the strongest industry signal on this profile.

Enquire about Ximilar

Three fields. Anything longer belongs on the full contact page, linked below.

Ximilar — AI Provider Profile | RankGlobal