See what already exists before you invest.
Find similar businesses, see how they work and identify the questions that still need a real-world test.
Describe a market, customer segment or business idea. Semantil finds relevant companies, explains why they match and saves the results for comparison, follow-up or export. It also tells you what the data cannot confirm.
“Which UK fashion brands run on Shopify, and where do they sell abroad?”
2,294brands · 260 show signs of selling abroad · saved as a reusable list
| United States | 161 |
|---|---|
| Ireland | 85 |
| Germany | 72 |
| Australia | 68 |
Next: Find more companies · Export · Ask a follow-up
Start with your question
You do not need to know how to query a database. Describe what you are trying to learn; Semantil finds the relevant companies, shows what stands out and keeps the results ready for further work.
Find similar businesses, see how they work and identify the questions that still need a real-world test.
Count the companies found, group them by country or type, and inspect the businesses behind the numbers.
Explain what a good match looks like, check why each company fits, then save or export the results.
Bring customers, competitors or another company list and compare it with other companies in the Semantil index.
Compared with what you use today
A general AI can suggest examples. A company database can export rows. Semantil shows how many companies match, why they match and lets you inspect the companies behind the answer.
Here are some electronics manufacturing (EMS) companies in Spain:
This list may not be exhaustive. Let me know if you'd like more details on any of these companies.
248companies
| Design & manufacturing services | 128 |
|---|---|
| Design, components & automation | 60 |
| Product design & PCB manufacturing | 47 |
Next: Find more companies · Export · Ask a follow-up
French online stores commonly accept these payment methods:
These are general observations and may not reflect current market data.
263,529online stores in France · payment method detected on 136,627
| PayPal | 98,080 |
|---|---|
| Visa | 86,629 |
| Mastercard | 86,267 |
| Apple Pay | 72,227 |
| American Express | 53,042 |
Next: Open companies · Export · Ask a follow-up
Here are some Shopify stores in Canada that launched recently:
I don't have access to real-time data, so some of these may be outdated.
12,413first seen in 2026 · of 104,031 Shopify stores in Canada
| 2026 · this year | 12,413 |
|---|---|
| 2025 | 13,759 |
| 2024 | 10,296 |
| 2023 | 7,785 |
| 2022 | 6,200 |
Next: Find more companies · Export · Ask a follow-up
German online stores commonly sell to these countries:
These are general observations and may not reflect current market data.
29,904stores with signs of selling abroad · of 324,787
| Austria | 14,634 |
|---|---|
| Switzerland | 9,827 |
| France | 8,005 |
| United Kingdom | 6,427 |
| Netherlands | 6,418 |
Next: Open companies · Export · Ask a follow-up
Here are some UK fashion brands on Shopify:
I can't verify which countries they ship to. Let me know if you'd like more details on any of these brands.
2,294brands · 260 show signs of selling abroad
| United States | 161 |
|---|---|
| Ireland | 85 |
| Germany | 72 |
| Australia | 68 |
Next: Find more companies · Export · Ask a follow-up
Use Semantil from Claude, Codex or Cursor. MCP setup guide ↗
Compare groups of companies
Take a group of companies you can describe, such as stores using one technology, or a public list like a Y Combinator batch. Semantil compares the group with the rest of the market, or with a second group, and shows which countries, business segments, technologies and company sizes appear more often inside it. Bring your own list too: export a sample of your customers from your CRM as a CSV. Semantil shows what stands out about them compared with the rest of the market, then finds similar companies and keeps the accounts you already have out of the results.
271,788stores with Klaviyo · 2,084,063 other Shopify stores
| Signal | Klaviyo stores | Other Shopify stores | More often |
|---|---|---|---|
| Top 1% of stores by size | 3.4% | 0.3% | 10.0× |
| Top 1–5% by size | 7.5% | 2.0% | 3.7× |
| Supplements & wellness | 1.9% | 0.7% | 2.6× |
| Sports nutrition | 0.7% | 0.3% | 2.4× |
| Natural & organic beauty | 0.9% | 0.4% | 2.2× |
Next: Find stores without Klaviyo · Export · Ask a follow-up
442companies in 2025 · 158 in 2015
| Signal | YC 2025 | YC 2015 | Difference |
|---|---|---|---|
| 1–10 employees | 87.1% | 18.4% | +68.8 pp |
| Hosted on Vercel | 37.3% | 3.2% | +34.2 pp |
| AI consulting & automation | 11.5% | 2.5% | +9.0 pp |
| Radix UI components | 7.5% | 1.3% | +6.2 pp |
| Built with Next.js | 11.1% | 5.1% | +6.0 pp |
Next: Find similar companies · Export · Ask a follow-up
What Semantil sees
Semantil researches markets using its own index of websites. It finds relevant companies, counts and groups them, explains why they match, and tells you what the data cannot confirm. The index contains 130.84M searchable websites and has been built since 2017. Use Semantil to explore an idea, understand a market, find companies or compare groups. It works in the browser, through a REST API and as an MCP server for AI agents. Company records can also include the basic contact details a company publishes on its own website: a company email such as info@ or sales@, a phone number, or both, when available. Each contact includes its source page and observation date. For named people and their work contact details, use a provider that specializes in contact data.
| Websites observed | 1.17B | Every website (domain) Semantil has ever checked, live or not. |
|---|---|---|
| Searchable websites | 130.84M | Websites you can search right now. |
| Websites with known technologies | 135M+ | At least one technology recognized on the site. |
| Technologies we recognize | 16,863 | Different technologies, from Shopify to Klaviyo. |
| Websites sorted into a business segment | 69.6M | 30K+ business segments. 8.49M of these websites are online stores, the rest are other businesses. |
| Websites with segment, country and technology | 57M+ | We know all three for these websites. |
| Countries | 250 | We know the country for 73% of websites (95.9M). Most: United States, Germany, United Kingdom. |
| Languages | 69 | We know the language for 92% of websites. About half are English. |
| Checked in the last 30 days | 8.48M | Stores we re-visited within a month. |
|---|---|---|
| With a product category | 7.52M | What the store sells, in 14K+ detailed categories. |
| With signs of sales | 8.49M | Observable signs of an active selling operation. |
| With an estimated size | 8.39M | Modelled size band, from small to top 1%. |
| Different technology set-ups | 3.48M | Different combinations of technologies in use. |
| Matched to a company register | 1.35M | Store linked to a national company or VAT register. |
| Shop platforms | 487 | Main platform known for every store. |
|---|---|---|
| Payment methods | 84 | Detected on the pages of 3.34M stores. |
| Shipping carriers | 396 | Seen on the pages of 1.21M stores. |
| Countries stores sell to | 250 | Foreign-market signals found on 325K stores. |
| First seen | back to 2013 | When we first saw a website. Public archives from 2013, Semantil crawl since 2017. |
| Own index | 1.17B → 130.84M | Websites observed, and websites you can search. Built and crawled by Semantil since 2017. |
|---|---|---|
| Own search engine | <100 ms | Typical answer across 130.84M websites; 8 ms median for text search, measured on production. Benchmark against Elasticsearch, OpenSearch and Typesense → |
| Evidence per record | every field | Every record carries the date we last checked it. Contact details carry the page and the sentence they came from. Every company in a market answer carries why it matched: the words on its site, its segment, or both. |
| Freshness | 100% in 30 days | 8.48M of 8.49M stores re-visited within the last 30 days; new data release about monthly. Each record includes its own observation dates. |
Index figures updated 2026-09-20.
Companies, not people: Semantil can include a company email such as info@ or sales@ and a phone number published on the company’s own website, when available. Each contact includes its source page and observation date. Personal mailboxes and personal names are excluded.
How Semantil is built →All fields and what they mean →
Filter by country, market and technology. Inspect the fields behind any company and verify it yourself before you export.
What decision are you trying to make?