Menza: Revenue, sale and how it was built
Menza (AI data analyst for consumer brands, United Kingdom): Acquired by an unnamed buyer, November 2026. Evidence grade E: no revenue figure was checked. Team: 2 co-founders; Y Combinator lists a team of 3 (read November 2026). Launched 7 August 2023; sold 39 months after launch.Added 5 November 2026
- Outcome
- Acquired by an unnamed buyer, November 2026
- Evidence
- E no revenue figure was checked
- Launch
- 7 August 2023
- Status
- Sold, 39 months after launch
- Team
- 2 co-founders; Y Combinator lists a team of 3 (read November 2026)
- Outside funding
- Y Combinator, Winter 2026 batch; amount not published
- Main channel
- Not stated
What is not verified
No revenue figure and no sale price were found. We looked for a payment-processor profile, a founder interview with a dated figure, a company filing and a buyer announcement. The only money-related metric is the company's own "+234.9% MRR growth since January 2026" in its March 2026 launch post, with no base amount. The buyer is not named. The UK company register was not checked (the archived site says "Latentspace, Inc.", a US-style company name). A reader could look for the founders' promised "full story" or a buyer's announcement. This story is grade E: the business is real and its product, price and customers are described from public pages, but no revenue figure was checked. Aiolum shows it as an idea worth studying, not as proof that it makes money.
Menza is an AI data analyst: software that uses a large language model (a model trained on a large amount of text that can read questions and write answers and code) to query a company's data and explain the results in plain language. It connects to a consumer brand's tools, such as Shopify, Klaviyo, Google Ads and Meta Ads, watches them all the time, and reports what changed and why.
Qasim Munye and Mariam Ahmed, who both studied at King's College London, launched it in August 2023 under the name Latentspace, with an assistant that answered questions about an uploaded CSV file. Munye had earlier built ShortlyAI, an AI writing app that Jasper bought in 2021, according to Menza's launch post. In October 2025 the product was renamed Menza and aimed at consumer brands; in March 2026 it was in Y Combinator's Winter 2026 batch, and the company reported 234.9% growth in monthly recurring revenue since January 2026, without saying from what amount.
When read on 5 November 2026, the home page said only "Menza has been acquired" and named no buyer and no price. No revenue amount was found in any source, so this story has grade E: a real business with checked facts but no revenue figure.

How much did Menza make, and what was it sold for?
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.
| Fact | Value | Grade | How we know | Sources |
|---|---|---|---|---|
| Status, 5 November 2026 | acquired; buyer and price not named | C | The home page says: "Menza has been acquired. We'll share the full story soon." An archived copy from 18 July 2026 still shows the normal product site, so the notice appeared after that date. | [1, 7] |
| Revenue amount | not published | C | The March 2026 launch post says "+234.9% MRR growth since January 2026" and "100% customer retention since April 2025", a growth rate with no base amount. | [5] |
| First launch | 7 August 2023, as Latentspace | C | Y Combinator launch post "Latentspace - Your AI data assistant": upload a CSV and ask the AI Data Assistant questions. | [3] |
| Founders | Qasim Munye (CEO) and Mariam Ahmed (CTO) | C | Named in the 2023 and March 2026 launch posts and on the Y Combinator company page. | [2, 3, 5] |
| Team size | 3 | C | Y Combinator company page, read 5 November 2026. Year founded 2023, location London. | [2] |
| Funding | Y Combinator, Winter 2026 batch | C | Y Combinator company page. No amount was found in a source. | [2] |
| Starter price, June 2026 | from US$500 a month | C | Archived pricing page of 10 June 2026. | [8] |
| Data connections | 650+ (October 2025), "800+ more sources" (July 2026) | C | Company statements in the October 2025 launch post and on the July 2026 home page. | [4, 7] |
| Usage | brands use it every other day on average | C | March 2026 launch post. Top users use it on more than 90% of weekdays in a month. | [5] |
| Named customers | Evolve Beauty, yhangry, The Keto Shop | C | Case studies and quotes on the March 2026 home page. | [6] |
| Time from launch to the acquisition notice | 39 months | calc | Calculated: August 2023 to November 2026. | [1, 3] |
How to read this table: a grade C value is a statement by the company on its own pages or its Y Combinator posts. A "calc" value was computed on this page. No value is grade A or B, and no revenue amount exists in the sources.
| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Starter | from 500 | 2 users, 2 connections, 3 dashboards, weekly proactive insights | |
| Enterprise | custom | unlimited users and connections, daily proactive insights, custom integrations |
The page offered a 7-day free trial and a switch between monthly and annual billing with "Save 20%". The annual price per month was not shown in the archived copy, so that column is empty. Enterprise was priced by contract.
When did Menza launch, and how did it grow?
From a CSV chat assistant to an acquired data analyst for consumer brands, in 39 months. Each entry carries its grade.
- 2021CJasper buys ShortlyAI, the AI writing app that Qasim Munye built alone while at medical school, according to Menza's launch post. [5]
- 7 August 2023CLaunch as Latentspace: an AI Data Assistant that answers questions about an uploaded CSV file. [3]
- 6 October 2025CRelaunch as Menza, "the 24/7 data analyst for consumer brands", with 650+ data connections. [4]
- 6 March 2026CLaunch post in the Y Combinator Winter 2026 batch: 234.9% growth in monthly recurring revenue since January 2026, no customer lost since April 2025. [5]
- 18 July 2026CThe home page now offers an agent that proposes actions (budget changes, purchase orders, email flows) for approval. [7]
- 5 November 2026CThe home page says Menza has been acquired. No buyer or price is named. [1]
Why did Menza work?
Four causes, in the order they mattered. Each one is a reusable lesson.
One customer group
The 2023 product answered questions about any spreadsheet for anyone. The 2025 product named one buyer: consumer brands with data in many tools and no data team. In March 2026 the founders asked for introductions to brands in food and drink, beauty and fashion with more than US$1 million in revenue, in their own launch post.
Proactive reports, not only chat
The product does not wait for a question. It reads the connected sources on a schedule and sends what changed, for example an email click rate that fell 34% after one flow change, a case the company describes in its March 2026 post.
Many connections
The company says it connects to 650 and later more than 800 sources, including tools without an API. Data in a niche tool is the reason it gives for why general AI tools fail for brands.
How it was built
The sources say little about the technology. These points are company statements, grade C. [3, 6, 7]
- The 2023 launch post says the founders were "leveraging LLMs" and combining language models with the customer's data. No source names the model provider.
- Connections to Shopify, Klaviyo, Google Ads, Meta Ads, Amazon, Xero, Stripe and hundreds of other sources.
- Security claims on the March 2026 home page: AES 256 encryption, GDPR, SOC 2 and HIPAA badges.
- By July 2026 the site linked to a page named "Connect to Claude", which suggests a connection for Anthropic's assistant; the page itself was not read.
Tools named in the sources
Each one opens its page in the Tools tab, with every story that uses it.
Who tried this before Menza, and why did they fail?
Three companies in our database of failed startups sold analytics dashboards or insights to businesses and failed. The values below are from that database and are not independently verified.
SumAll
The promiseOne dashboard for a small business's marketing and sales data, without a data scientist.
Why it diedFree tools and large analytics companies offered more, and small customers did not see enough value in the price.
TellApart
The promisePredictive analytics that told online shops who their most valuable customers were.
Why it diedThe advertising platforms built the same analytics into their own products; after Twitter bought it, the product lost its place.
Mattermark
The promiseInsights on private companies from aggregated growth signals.
Why it diedIt could not set itself apart from larger data providers, and keeping the data current was expensive.
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
SumAll and TellApart sold dashboards and predictions that a customer still had to read and act on, and the platforms whose data they used built similar views themselves. Menza's bet was that a language model can do the reading: it writes the weekly brief, answers follow-up questions and, by 2026, proposes the next action.
The platform risk did not go away. Shopify now ships its own assistant, Sidekick, with prompts for weekly summaries and low-stock alerts, and analytics companies such as Polar Analytics sell AI agents to the same brands. Menza ended with a sale, not a closure, but the terms are not public.
Can one person copy Menza now?
The method, yes. The result, unknown.
Two founders with AI and finance experience built the product, changed its target customer once, and sold the company within about three and a half years. No source says what the sale was worth, so a reader cannot tell whether the result was a success in money terms.
Where it is still open: The same approach for other groups with data in many tools and no analyst: restaurants, clinics' back offices, small manufacturers, agencies.
- 1Start with a general AI assistant for data, then pick the one customer group that keeps using it.
- 2Connect to every tool that group already pays for, including the small ones.
- 3Send reports and alerts without waiting for a question, so the product is used every week.
- 4Show named customer cases with numbers on the home page.
What could go wrong for Menza?
The risks are the mirror image of the causes above.
What is not verified
No revenue figure and no sale price were found. We looked for a payment-processor profile, a founder interview with a dated figure, a company filing and a buyer announcement. The only money-related metric is the company's own "+234.9% MRR growth since January 2026" in its March 2026 launch post, with no base amount. The buyer is not named. The UK company register was not checked (the archived site says "Latentspace, Inc.", a US-style company name). A reader could look for the founders' promised "full story" or a buyer's announcement.
Competition from Shopify and analytics companies
Shopify's Sidekick page offers prompts such as "Give me a weekly performance summary" and "Make sure I never run out of inventory" inside every store. Polar Analytics says it is "Trusted by 4,000+ ecommerce brands and agencies" and sells AI agents. Triple Whale, another ecommerce analytics company, could not be read: its site blocked the download.
Dependence on other companies
The product reads data through other companies' interfaces, Shopify above all, and runs on language models that no source names. A change in access rules or model prices would have changed its costs. After the acquisition, existing customers depend on the buyer's plans, which are not public.
Customer claims are the company's own
The case studies (a 10% revenue leak from stockouts, 60 hours saved a month, an extra US$12,000 in monthly revenue from scaling Facebook campaigns) are stated by Menza in its posts and on its site. No customer or third party has confirmed them in a source we read.
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.
- C Menza home page: Menza has been acquiredRead in full on 5 November 2026.
- C Y Combinator company page: Menza, the AI data analyst for consumer brandsRead the page data on 5 November 2026: description, year founded, team size, location, batch and founders.
- C Launch YC, 7 August 2023: Latentspace - Your AI data assistantRead in full. The founders' first launch post.
- C Launch YC, 6 October 2025: Menza, the 24/7 Data Analyst for Consumer BrandsRead in full. Source for the new target customer, the 650+ connections and the customer cases.
- C Launch YC, 6 March 2026: Menza, the AI Data Team for Fast-Growing BrandsRead in full. Source for the growth and retention claims, usage and the founders' backgrounds.
- C Internet Archive copy of the Menza home page, 7 March 2026Read in full. Case studies, integrations and security claims.
- C Internet Archive copy of the Menza home page, 18 July 2026Read in full. The last copy before the acquisition notice; the action-proposing agent and the source list.
- C Internet Archive copy of the Menza pricing page, 10 June 2026Read in full. Source for the pricing table.
- C Polar Analytics home pageRead the sections on AI agents and customers on 5 November 2026. A competitor's own claims.
- C Shopify: Sidekick, AI-enabled commerce assistantRead in full on 5 November 2026. Source for Shopify's built-in assistant and its prompts.
- C Database of failed startups, local exportLocal 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