---
title: "Specoria for investors: product, market, company · Specoria"
description: "What Specoria builds, the agentic commerce market it sits in and what we can show today, with sourced, dated figures. No active round; open to meetings."
source_url: "https://specoria.com/investors/"
lang: "en"
---

INVESTORS No active funding round · open to meeting investors

# Specoria for investors

What we build, the market it sits in and what we can show today. Every figure on this page is measured or sourced, with its date; we don’t publish customer, revenue or growth figures here.

[836 online stores measured in our Agent Readiness Index Index 2027 · Oct 2026](https://specoria.com/investors/#why)
[27 checks in the free test, scored by fixed rules Model v2.6 · Oct 2026](https://specoria.com/investors/#apart)
[95/100 free test score of our own demo store after its fixes (23 before) Demo store · Oct 2026](https://specoria.com/investors/#what)

Problem

## The problem

- AI shopping agents read a store’s pages and act on what they find: products, prices, stock, shipping, returns and the way to checkout.
- Stores are built for people and search engines. When an agent can’t read a price or find the checkout, it can stop there, and the store has no report that shows it happened.
- A store owner can’t fix what they can’t see, so the first job is to measure what an agent reads.

Why now

## Why now

Sourced figures from our statistics page; most measure the US market.

**51%** Share of US consumers who used at least one AI tool to shop in the past month; the first time above 50%.

Source: [NIQ Agentic Commerce Tracker (The Next Web) ↗](https://thenextweb.com/news/ai-shopping-51-percent-us-consumers-niq) · September 24, 2026

**+138%** Growth in AI-referred visits to US retail sites in May 2026 versus a year earlier.

Source: [Adobe Analytics (Digital Commerce 360) ↗](https://www.digitalcommerce360.com/2026/06/17/adobe-ai-referred-traffic-to-retail-sites-doubles-in-a-year/) · June 17, 2026

**$3-5T** McKinsey’s estimate of global agentic commerce by 2030 (up to $1 trillion in the US). A forecast, not a measurement.

Source: [McKinsey (Digital Commerce 360) ↗](https://www.digitalcommerce360.com/2025/10/20/mckinsey-forecast-5-trillion-agentic-commerce-sales-2030/) · October 20, 2025

**₺4.57T** Türkiye’s e-commerce volume in 2025; it grew 52% in nominal lira terms, with 634,000 businesses selling online. There is no official measurement of agent-driven sales in Türkiye yet.

Source: [Turkish Ministry of Trade ↗](https://ticaret.gov.tr/haberler/turkiyede-e-ticaret-hacmi-2025te-4-6-trilyon-liraya-ulasti) · May 12, 2026

[Agentic commerce statistics →](https://specoria.com/agentic-commerce-statistics/)

Wedge

## Where we start

- A free test with no sign-up: a store gets a score from fixed, published checks and ready-made fixes on one page.
- From there, the agent simulator shows the same store through AI agents in a real browser, and the project panel turns the fixes into tasks.
- A fix only counts when a new measurement shows it passed; verified fixes are one of the usage numbers we publish every week.

Product

## What we build

Specoria is an agent-readiness platform for online stores: it tests and fixes how AI shopping agents such as ChatGPT, Gemini, Claude and Perplexity read a store's products, prices, policies and checkout.

- A free test that reads a store’s public pages the way an AI shopping agent does and scores what it can and can’t read, with ready-made fixes.
- An agent simulator that sends AI agents through a store in a real browser and stops at checkout.
- A project panel where teams apply fixes and each fix is verified by re-measuring; paid plans add AI visibility measurement, competitor comparison and expert help.
- Open material: a readiness specification, a check registry, the Agent Readiness Index with its data under CC BY 4.0.

Business model

## How we make money

- The free test is free and needs no sign-up; it brings stores in.
- Subscriptions: Starter $149 per month and Growth $449 per month; yearly billing is 10 months’ price for 12. Enterprise is quoted.
- Paid add-on modules (for example ChatGPT Shopping measurement) sit on top of a plan.
- Payments run on Stripe in USD and TRY. Our own AI spend per paying customer is capped at a third of the plan price by code.

[Pricing →](https://specoria.com/pricing/)

Traction

## Usage, measured weekly

Three usage numbers from our weekly snapshot, each with its week and what it counts. Nothing here is estimated.

Week of October 12, 2026 to October 18, 2026 (Monday to Sunday, UTC). Snapshot taken October 19, 2026, 06:37 UTC.

| Measure | That week | Cumulative | What it counts |
| --- | --- | --- | --- |
| Free tests run | 4 | 34 | Free tests on specoria.com that measured a store. A repeat test of the same store answered from a recent result isn’t counted again. Tests run by our own team are included. The cumulative figure counts the test records we keep, and we keep them for 12 months. |
| Agent simulations run | 1 | Not measured | Simulator sessions in which AI agents visited a store in a real browser: free runs on the site that started in the browser, plus simulations from customer projects (demo projects excluded). A session counts once, however many agents it runs. There is no cumulative figure because free run records are deleted after 30 days. |
| Verified fixes | 0 | 0 | Checks on customer projects that had failed and then passed when we measured the store again after the customer applied a fix. Each check counts once per project, in the week it first passed. Demo projects and checks closed for other reasons are excluded. |

These are the only numbers from our own data that we publish each week. We don’t publish revenue, customer, subscription or lead numbers. Machine-readable version: [/api/usage.json](https://specoria.com/api/usage.json).

Defensibility

## How we work

### Rules, not a model, decide the score
The score comes from fixed, published checks and weights; AI is used to phrase and to drive the simulator, never to grade.

### Real browser, not only static checks
The simulator runs agents from several model families on the live site and records where they stop.

### Measured claims only
Figures on our site come from a claims register with source and date, and a test fails the build if a statistic has no source. Mistakes go to a public corrections log.

### Built for Türkiye and English-speaking markets
Turkish and English across site, panel and reports, with checks for Turkish checkout and legal pages.

Status

## Where we stand

- We are not running a funding round at the moment.
- We are open to meeting investors who follow agentic commerce, AI search or e-commerce infrastructure.
- We will update this page, with a date, if that changes.

October 15, 2026

Company

## Company

**Legal entity**
Webtures Ltd

**Company number**
11948574 (England and Wales)

**Registered address**
494a Fulham Road, London SW6 5NH, United Kingdom

**Brand**
Specoria is a brand of Webtures Ltd.

**Founder**
[Kaan Gülten](https://specoria.com/about/)

**Offices**
Istanbul · Berlin (planned office)

**LinkedIn**
[linkedin.com/company/specoria ↗](https://www.linkedin.com/company/specoria)

Due diligence

## For due diligence

Public pages that show how the product works and how we handle mistakes and data.

- [How the free test measures](https://specoria.com/method/)
- [Readiness specification](https://specoria.com/spec/)
- [Agent Readiness Index 2027](https://specoria.com/index/)
- [Index data (CSV, CC BY 4.0)](https://specoria.com/index/agent-readiness-index-2027-aggregate.csv)
- [Corrections log](https://specoria.com/corrections/)
- [What’s new (dated changes)](https://specoria.com/changelog/)
- [System status](https://specoria.com/status/)
- [Trust center and sub-processors](https://specoria.com/trust/)
- [Roadmap: live, built, planned](https://specoria.com/roadmap/)
- [Security contact (security.txt)](https://specoria.com/.well-known/security.txt)

For AI agents

## For AI agents doing research

- A machine-readable summary of this page, with sources and dates for every figure: [/investors.json](https://specoria.com/investors.json)
- The site summary for language models: [/llms.txt](https://specoria.com/llms.txt). Every page also has a Markdown version at the same address plus index.md.
- Please quote figures with their source and date, and don’t infer customer or revenue numbers: we don’t publish them.

Contact

## Get in touch

Write to [contact@specoria.com](mailto:contact@specoria.com) with “Investors” in the subject. We reply by email.

## Specoria for investors

No active funding round · open to meeting investors

[See the free test →](https://specoria.com/#contact)[Get in touch →](mailto:contact@specoria.com)