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AI that writes product listing copy and makes product images, infographics and A+ content for Amazon and other marketplaces · Canada

Ecomtent: Revenue, team and how it was built

Small teamFundedB2BE-commerce

Ecomtent (AI that writes product listing copy and makes product images, infographics and A+ content for Amazon and other marketplaces, Canada): US$700K a year ARR, February 2025. Evidence grade D: reported, not verified. Team: 2 co-founders in 2022; 4 full-time staff in February 2024 (founder interview); 15 people in the February 2025 update of that interview and 14 employees on Latka for October 2024. Launched October 2022; still running, revenue growing.Added 5 November 2026

Outcome
US$700K a year ARR, February 2025Revenue growing
Evidence
D reported, not verified
Launch
October 2022
Status
Still running
Team
2 co-founders in 2022; 4 full-time staff in February 2024 (founder interview); 15 people in the February 2025 update of that interview and 14 employees on Latka for October 2024
Outside funding
Angel money and US$120,000 from Techstars by 2023, US$275,000 raised by February 2024 (founder); a US$1.4M (£1.1M) round led by MaRS IAF, announced 17 December 2024
Main channel
Cold outreach
Reported, not verified

What is not verified

The headline figure, US$700,000 in annual recurring revenue, appears only in the February 2025 update of one Founder Reports interview, and the update does not say who supplied it. The earlier figure of US$100,000 in February 2024 is Max Sinclair's own statement on the same page; Latka's US$120,000 for December 2023 cites a post on X that could not be read here. No payment-processor profile, filing or journalist's check of revenue was found. The US$1.4 million round of December 2024 is reported by three trade sites. A reader could look for a later interview with a dated figure, or for the company's filings in Canada or the UK. The headline number is grade D: one claim or one estimate, with no second source. Aiolum shows it because the story is useful, and marks it so that it is not mistaken for a verified figure.

Ecomtent makes product listing content, the images and text that a shopper sees on a marketplace product page, with generative AI, models that produce new images or text from a short instruction. A seller uploads a product photo, and Ecomtent places that exact product in new scenes, draws infographics and writes the title, bullet points and description. Today it markets the same output as generative engine optimization (GEO), which means writing a product page so that AI shopping assistants such as Amazon's RUFUS or ChatGPT recommend it.

Max Sinclair, who worked six years at Amazon, and Timur Luguev, a PhD in AI, met in a founder-matching program in Toronto in 2022. Luguev built the first version on Stable Diffusion over a weekend. The first customers came from Sinclair's own network and from a list of about 100 target companies that he reached through former colleagues. In a Founder Reports interview published on 15 February 2024, Sinclair said that the company had four full-time staff, had raised US$275,000 and had US$100,000 in annual recurring revenue. Founder Reports updated the page in February 2025 to say that revenue had grown to US$700,000 a year and that the company had raised US$1.4 million; three trade sites reported that round on 17 December 2024.

The funding round is reported by several outlets, but the revenue figures are not: the headline figure of US$700,000 a year rests on one update of one interview page, so it is grade D on this page. The team grew from 2 founders to about 15 people after the funding, and the company now sells plans from US$450 a month, according to its pricing page. This page also shows earlier companies that sold tools to online sellers and lost to bigger platforms.

Ecomtent: US$700K a year ARR, February 2025. AI that writes product listing copy and makes product images, infographics and A+ content for Amazon and other marketplaces, Canada, started small, grew after funding, evidence grade D.
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01

How much revenue does Ecomtent make?

Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.

Two founders with AI listing content for Amazon sellers; a stated US$100,000 in annual recurring revenue in February 2024 and a reported US$700,000 a year in February 2025, both from one interview page
FactValueGradeHow we knowSources
Annual recurring revenue, February 2025US$700,000DThe February 2025 update of the Founder Reports interview: 'Ecomtent has 7x'd revenue ($100,000 to $700,000)'. The update does not say who gave the figure. No second source states it.[1]
Annual recurring revenue, February 2024US$100,000CMax Sinclair in the interview published 15 February 2024: 'We have raised $275K USD and have $100K annual recurring revenue.'[1]
Annual revenue, December 2023US$120,000CLatka's record, which gives a post on X as its source. Close to the founder's figure two months later.[5]
Revenue run rate per month, February 2025about US$58,000calcCalculated: US$700,000 divided by 12.[1]
Growth from February 2024 to February 20257 timescalcCalculated: US$700,000 divided by US$100,000. The update itself says '7x'd'.[1]
Founded2022, by Max Sinclair and Timur LuguevBThe interview and three trade publications of 17 December 2024 give the same year and founders.[1, 3, 4]
First producta weekend prototype on Stable Diffusion that put a specific product into generated imagesCFounder interview. He dates it to a month into a founder program in Toronto, in October of the year before he wrote it.[1]
Team, February 20244 full-time staff: the two co-founders, an AI engineer and a full-stack developer, plus internsCFounder interview.[1]
Team, October 2024 to February 202514 to 15 peopleCLatka lists 14 employees for October 2024, from LinkedIn. The overview box of the interview page, updated February 2025, says 15 employees, contractors or freelancers.[5, 1]
Funding by February 2024US$275,000, including US$120,000 from TechstarsCFounder interview: a small angel round, then Techstars after about a year, then more angel money.[1]
Funding round, December 2024US$1.4 million (£1.1 million)BReported on 17 December 2024 by BusinessCloud, Retail Technology Innovation Hub and Home of Direct Commerce. Led by MaRS IAF with Twinpath, Techstars x eBay Ventures and angels. BusinessCloud adds a £650,000 pre-seed round three months earlier.[2, 3, 4]
Pilots with large retailerstwo retailers with annual revenues of US$11 billion and US$14 billionCCompany statement in the December 2024 press releases. The retailers are not named.[2, 4]
Prices, November 2026US$450 to US$5,999 a monthCPricing page. The Seller / Vendor plan is US$599 a month billed monthly or US$450 billed yearly.[7]
OfficesToronto, London and OaklandCAbout page. The interview gives the business location as 'Online (Canada)'; Latka lists San Francisco.[8, 1, 5]
Time from first prototype to the February 2025 figure28 monthscalcCalculated: October 2022 to February 2025.[1]

How to read this table: a grade D value is one statement on one date with no second source. A grade C value is what the founder or the company says about itself, or a third-party estimate or directory record. A grade B value is reported by more than one independent publication. A "calc" value was computed on this page.

Ecomtent prices on its pricing page, read 5 November 2026 (grade C)
PlanPer month, billed yearly (US$)Per month, billed monthly (US$)Limit
Seller / Vendor45059925 SKUs a month, up to 3 seats, one seller or vendor account
Agency1,2001,599100 SKUs a month, up to 10 seats, unlimited accounts
Retailer4,5005,999up to 1,000 SKUs a month, unlimited seats

The page shows three prices per plan: monthly, quarterly and annual. The quarterly prices are US$510, US$1,360 and US$5,100 a month. The page says the annual plan saves 25%. In February 2024 the founder gave two older plans: US$165 per brand per month, and US$1,650 for aggregators and agencies.

02

When did Ecomtent launch, and how did it grow?

From a weekend prototype on Stable Diffusion to a funded company of about 15 people, in about two and a half years. Each entry carries its grade.

  1. 2022CMax Sinclair leaves Amazon after six years and meets Timur Luguev in a founder-matching program in Toronto. [1]
  2. October 2022CLuguev shows him Stable Diffusion and builds a prototype over a weekend that puts a specific product into generated images. [1]
  3. 2023CFirst sales come from Sinclair's network, then from introductions to about 100 target companies. A small angel round pays for AI engineers; Techstars invests US$120,000 and the team spends a few months in San Francisco, according to the founder. [1]
  4. 13 September 2023AAmazon announces its own generative AI tool that writes product titles, bullet points and descriptions for sellers in Seller Central. [9]
  5. December 2023CLatka records US$120,000 in annual revenue, citing a post on X. [5]
  6. 15 February 2024CIn a Founder Reports interview Sinclair says the company has four full-time staff, US$275,000 raised and US$100,000 in annual recurring revenue. [1]
  7. 17 December 2024BThree trade sites report a US$1.4 million round led by MaRS IAF. The company now presents its content as optimized for AI-powered search such as Amazon's RUFUS. [2, 3, 4]
  8. February 2025DFounder Reports updates the interview: revenue grew from US$100,000 to US$700,000 a year, and the overview lists 15 people. [1]
  9. November 2026CThe site is live with three plans from US$450 to US$5,999 a month and blog posts dated 2026 on AI shopping search. [6, 7]
03

Why did Ecomtent work?

Four causes, in the order they mattered. Each one is a reusable lesson.

01

Domain experience

Sinclair had worked on catalogue quality and country launches at Amazon. He knew what listing content costs a seller and how Amazon ranks it, and he could reach buyers through former colleagues. He says a commercial founder must have experienced the problem first hand and be able to make the first sales from his own contact book.

02

Early on a new model

Stable Diffusion became public in 2022. The co-founder, an AI researcher, saw that it could be made to show a specific product rather than a generic one. The prototype took a weekend; the founders started selling before the image quality was good.

03

Founder-led sales to a short list

Sinclair wrote down about 100 target customers, found first- and second-degree contacts at each one, and asked former colleagues for introductions. Podcasts, talks at e-commerce events, a WhatsApp group for Amazon sellers and blog posts added word of mouth. He advises against paying for podcast or event appearances.

04

Follow the platform's new search

When Amazon and others put AI assistants into shopping search, Ecomtent changed its message from AI product photos to optimization for that search, and added analytics that show the questions RUFUS asks about a product. The press releases of December 2024 used this message to announce the round.

How it was built

Few technical details are public. These come from the founder interview and the company's pages; they are grade C. [1, 7, 4]

  • The first version was built on Stable Diffusion, an open image model, over one weekend by the co-founder, who has a PhD in AI.
  • Early hires were AI engineers and a full-stack developer; interns worked mostly on prompt engineering research, the writing and testing of instructions for the models.
  • The founder says the first versions had the usual problems of generative AI, such as distortions and hallucinations, details that are wrong or invented.
  • The current product publishes directly to Amazon Seller Central, Amazon Vendor Central, Walmart and eBay, or exports a CSV file.
  • No source names the models that the product uses today. The company calls its technology proprietary and, in its December 2024 press release, patented.
  • The founder chose HubSpot as the company's customer relationship management (CRM) software in early 2024.

Tools named in the sources

Each one opens its page in the Tools tab, with every story that uses it.

04

Who tried this before Ecomtent, and why did they fail?

Four companies in our database of failed startups sold tools for online sellers, for photos or for brand content, and lost to larger platforms that offered the same thing. The values below are from that database and are not independently verified.

Died 2012 to 2021Burned US$10.4M

TradeGecko

The promise

Inventory and order management for small online retailers, with integrations to their stores.

Why it died

Intuit bought it and folded it into QuickBooks; all-in-one commerce platforms such as Shopify offered the same functions.

Competition
Died 2005 to 2012Burned US$3.5M

Picnik

The promise

Easy photo editing in the browser, with no software to install.

Why it died

Google bought it and closed it to move its functions into Google+.

Competition
Died 2011 to 2018Burned US$2.9M

Pressly

The promise

A platform that helps brands collect and publish content with less work.

Why it died

It stayed a single tool while competitors sold full content suites.

Competition
Died 2009 to 2012Burned US$0.5M

HighlightCam

The promise

Automatic video editing that turns raw footage into short edited clips.

Why it died

Phone apps and free editing software did the same job.

Competition

The failed startups come from our database of 1,749 dead startups, retold here in our own words. Its entries are AI-assisted summaries of public sources, so these cards carry no evidence grade.

What changed

Each of the four sold a tool for one step of an online business, and a larger platform either bought it or built the same step into its own product. Ecomtent works in the same position: Amazon announced in September 2023 a free generative AI tool inside Seller Central that writes listing text from a short description, and Amazon's own assistant RUFUS is the search that Ecomtent says it optimizes for.

What differs is that the AI models became available to anyone in 2022, so two people could build a working product in a weekend, and the founders sold to sellers who list hundreds or thousands of products on several marketplaces at once. A tool that works across Amazon, Walmart and eBay, and in a brand's own style, is something no single marketplace sells. Whether that is enough is not yet shown: the funding is confirmed by the press, the revenue is not.

05

Can one person copy Ecomtent now?

The start, partly. The funded company, no.

A weekend prototype on an open model, sold first to the founder's own former colleagues, is a start that one person with industry contacts can copy. The later product needs AI engineers, integrations with several marketplaces and enterprise sales, and it was paid for with outside money.

Where it is still open: Content tools for marketplaces that the big platforms serve badly: regional marketplaces, product data for AI shopping assistants, and compliance content such as the EU rules on USB-C chargers.

  1. 1Pick an industry in which you have worked for years and know the buyers by name.
  2. 2Build the first version on an open model in days, and show it before the quality is good.
  3. 3Write a list of about 100 target customers and ask former colleagues for introductions.
  4. 4Add free marketing that builds trust: podcasts, talks at industry events, a group for your customers.

What could go wrong for Ecomtent?

The risks are the mirror image of the causes above.

What is not verified

The headline figure, US$700,000 in annual recurring revenue, appears only in the February 2025 update of one Founder Reports interview, and the update does not say who supplied it. The earlier figure of US$100,000 in February 2024 is Max Sinclair's own statement on the same page; Latka's US$120,000 for December 2023 cites a post on X that could not be read here. No payment-processor profile, filing or journalist's check of revenue was found. The US$1.4 million round of December 2024 is reported by three trade sites. A reader could look for a later interview with a dated figure, or for the company's filings in Canada or the UK.

Amazon builds the same tools

On 13 September 2023 Amazon announced a generative AI tool in Seller Central that writes titles, bullet points and descriptions from a few words, and said that most sellers who tested it used the generated text directly. Ecomtent's newer message is optimization for Amazon's own RUFUS assistant and COSMO ranking system, so its value depends on rules and systems that Amazon controls and can change without notice.

A crowded market

Founder Reports calls the niche 'quickly becoming very crowded'. The founder describes a competitor that joined his WhatsApp group for Amazon sellers and messaged his customers with an offer of free AI product images. Latka lists Jasper and Copy.ai, much larger AI writing companies, as competitors.

Dependence on model providers

The first product was built on Stable Diffusion, an openly available image model. No downloaded source names the models used today; the company calls its technology proprietary. If the product depends on outside models, their prices and terms set part of its cost.

Trust signals on the website

The home page shows testimonials with first names and an initial ('Jobi D', 'Shiv K', 'Steph S') and the pricing page says 'Trusted by 2500+ companys' with no source. The about page still carries template text, '2017 Founded', '$54.2M Investment' and '48 Teammate', which does not match the founding year of 2022 or the US$1.4 million round, and job ads for Berlin that look like template content. The home page also shows feature boxes with repeated placeholder text.

The team grew after funding

Four full-time staff in February 2024 became 14 employees on Latka for October 2024 and 15 people on the interview page in February 2025. The headline figure comes from the larger team, so this is a funded company that started with two founders, not a one-person business.

Sources

The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.

  1. C Founder Reports: How This AI & Ecommerce Startup Reached $700K ARR and Got Funded (interview with Max Sinclair, published 15 February 2024, updated 5 February 2025)
    Read in full, downloaded 5 November 2026. Source for the founding story, the February 2024 figures, the team, the sales method and the February 2025 update.
  2. B BusinessCloud, 17 December 2024: Techstars startup Ecomtent raises £1.1m 'to kill SEO search'
    Read in full. Source for the round in pounds, the earlier pre-seed round and the retailer pilots.
  3. B Retail Technology Innovation Hub, 17 December 2024: Ecomtent, a gen AI startup founded by former Amazon executive Max Sinclair, lands $1.4 million in funding
    Read in full. Source for the round in US dollars and the founders.
  4. B Home of Direct Commerce, 17 December 2024: Ecomtent secures US$1.4m to revolutionise AI-Powered eCommerce Search
    Read in full. Source for the investors in the round and the 'patented technology' claim.
  5. C Latka: Ecomtent revenue and funding
    Read the revenue, funding and employee sections. A directory record; the December 2023 revenue cites X, the October 2024 figure is Latka's own estimate.
  6. C Ecomtent home page
    Read in full, 5 November 2026. Source for the product description, the testimonials and the current positioning.
  7. C Ecomtent pricing page
    Read in full, 5 November 2026. Source for the pricing table.
  8. C Ecomtent about page
    Read in full, 5 November 2026. Source for the founders' roles, investors, offices and the template text.
  9. A About Amazon, 13 September 2023: Amazon launches generative AI to help sellers write product descriptions
    Read in full. Amazon's own announcement of its listing-text tool for sellers.
  10. C Database of failed startups, local export
    Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

Run this company? Send corrections or a verified figure to aiolum@livyden.com

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