anyformat: Product, team and how it was built
anyformat (AI document parsing and data extraction platform with visual citations, Spain): 1 million documents processed, June 2026. Evidence grade E: no revenue figure was checked. Team: 2 co-founders; 9 people in November 2025, after a EUR 3.3 million seed round (The Officer). Launched June 2024; still running.Added 5 November 2026
- Outcome
- 1 million documents processed, June 2026
- Evidence
- E no revenue figure was checked
- Launch
- June 2024
- Status
- Still running
- Team
- 2 co-founders; 9 people in November 2025, after a EUR 3.3 million seed round (The Officer)
- Outside funding
- EUR 520,000 pre-seed, then a EUR 3.3 million seed round led by Kibo Ventures, November 2025 (as reported by The Officer)
- Main channel
- Not stated
What is not verified
No revenue figure was found. We looked for a payment-processor profile, a founder interview with revenue, and a company-register filing, and found none. The Officer wrote in November 2025 that the company's goal is EUR 1 million of annual recurring revenue in 2026; that is a target, not a result. The headline, 1 million documents processed, rests on one sentence in an Up Next event report of 6 June 2026 that does not give its source. A reader could look for the company's annual accounts in the Spanish companies register or a later funding announcement with figures. 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.
anyformat is an intelligent document processing (IDP) platform: software that reads business documents and writes the data in them into fields that other systems can use. Each value comes with a confidence score, a number that estimates how likely the value is correct, and a visual citation, a link to the exact place on the page where the value was found. The company's pricing page in November 2026 lists a free plan with 50,000 credits, a Business plan at EUR 499 a month, and custom Enterprise contracts.
Juan Huguet and Diego Pérez, who both worked at Clarity AI before, founded the company in Madrid, according to The Officer in November 2025. The earliest archived copy of the site, from June 2024, shows a "Gen-AI data extraction platform" with a demo-request form. The same article reported a EUR 520,000 pre-seed round, a EUR 3.3 million seed round led by Kibo Ventures, and a team of nine people.
No revenue figure was found. A South Summit Madrid 2026 report by Up Next, dated 6 June 2026, describes anyformat as having processed 1 million documents, with customers including L'Oréal, the Government of Singapore and Iberia; that is the headline on this page, and it was not checked against any other source.

How much revenue does anyformat 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.
| Fact | Value | Grade | How we know | Sources |
|---|---|---|---|---|
| Documents processed, June 2026 | 1 million | D | Up Next report on South Summit Madrid 2026, 6 June 2026: "1M docs processed". The report does not say who gave the figure or how it was checked. | [1] |
| Named customers | L'Oréal, IAG, Iberia, the Government of Singapore | C | The CEO's author page on the company site; Up Next names L'Oréal, the Government of Singapore and Iberia. No customer statement was found. | [6, 1] |
| Founders | Juan Huguet (CEO) and Diego Pérez Sastre (CTO), both formerly at Clarity AI | C | The Officer: "respondieron Juan Huguet y Diego Pérez, ex Clarity.ai, cuando fundaron Anyformat" (Juan Huguet and Diego Pérez, formerly of Clarity.ai, answered that question when they founded Anyformat) (translation). The company's author pages give the roles. | [2, 6, 7] |
| Team, November 2025 | 9 people | C | The Officer, 27 November 2025: "hoy con un equipo de nueve personas" (today with a team of nine people) (translation). The careers page in November 2026 says "a small, high-caliber team" with hubs in Madrid and Palma de Mallorca. | [2, 8] |
| Funding | EUR 520,000 pre-seed, then EUR 3.3 million seed | C | The Officer reported that the seed round was led by Kibo Ventures with 4Founders, Abac Nest Ventures and Decelera Ventures. The company's press page lists an Expansión article with the same EUR 3.3 million figure; Expansión blocks AI agents, so only its headline was read, on the press page. | [2, 5] |
| Earliest archived site | June 2024 | C | Internet Archive copy of 18 June 2024: "The Gen-AI data extraction platform", with a demo-request form and no prices. An archived redirect from April 2024 exists. | [9] |
| Prices, November 2026 | free plan with 50,000 credits; Business EUR 499 a month; Enterprise custom | C | Company's pricing page. | [4] |
| Security certification | ISO 27001:2022 | C | Company blog, April 2026: the audit was made by Prescient Security. The company says it runs on AWS with EU data residency. | [11] |
| Models used | several providers; the company calls itself model-agnostic | C | CTO's blog post of 16 June 2026: its pipelines give the same output "whether they're running on Claude, GPT, Gemini, or something that doesn't exist yet". | [10] |
| Time from the first archived site to the June 2026 figure | 24 months | calc | Calculated: June 2024 to June 2026. | [9, 1] |
How to read this table: grade C is the company's own page or a journalist's article; grade D is a figure from one third-party report that does not say how it was checked. No value is grade A or B, and no row is a revenue figure.
| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Pay As You Go | 0 | 0 | 50,000 credits once, then pay as you go; 1 user, 2 production workflows |
| Business | about 399 (calculated) | 499 | 500,000 credits a month; unlimited users; ISO 27001; private Slack channel support |
| Enterprise | custom | custom | self-hosted deployment, custom contracts and SLAs, dedicated support |
All values in this table are euros. The pricing page has a monthly/annual switch that says "Save 20%"; the annual price is loaded by script and was not visible in the downloaded page, so the yearly value for Business is calculated on this page as EUR 499 less 20%. Credits pay for the operators used. Extra credits cost EUR 0.0015 each on the free plan and EUR 0.001 each on Business; Enterprise gets a volume discount.
When did anyformat launch, and how did it grow?
From an archived demo page in June 2024 to a seed round and an ISO 27001 certificate. Each entry carries its grade.
- June 2024CThe earliest archived home page presents a Gen-AI data extraction platform for PDFs, emails, text, images and audio, with a demo-request form. [9]
- 2025CThe co-founders publish blog posts on the MCP protocol for AI agents (May 2025) and on scoring the confidence of structured AI output (June 2025). [7, 6]
- 27 November 2025CThe Officer reports a EUR 3.3 million seed round led by Kibo Ventures, after a EUR 520,000 pre-seed, and a team of nine people. [2]
- April 2026CISO 27001:2022 certificate, audited by Prescient Security. [11]
- 6 June 2026DUp Next lists anyformat among the standout startups at South Summit Madrid 2026, with 1 million documents processed. [1]
- November 2026CPublic prices with a free plan and a EUR 499 Business plan; home page benchmarks against GPT, Claude, Gemini and OCR services. [3, 4]
Why did anyformat work?
Four causes, in the order they mattered. Each one is a reusable lesson.
Sell the check, not the reading
General AI models already read documents. anyformat's pages put the weight on the parts a company needs to trust the output: a calibrated confidence score per field, a citation to the page position, rules written in plain language, and a person who reviews only the flagged fields.
Long documents in one pass
The company says its extraction works across hundreds of pages and long tables without splitting the file into pieces, and its home page shows its own benchmark on documents of up to 50 pages. These are the company's own tests.
Enterprise requirements early
EU data residency, self-hosted and air-gapped deployment, and an ISO 27001 certificate are on the home page. These are the conditions that banks, insurers and governments ask for, which is where its named customers are.
How it was built
These details come from the company's own pages and blog. They are grade C. [10, 11, 12, 3]
- Five operators (parse, extract, classify, split, validate) connected in a typed workflow graph that runs in one API call, with an SDK, a command-line tool and a connection for AI agents.
- Model-agnostic design: the CTO writes that the pipelines run on Claude, GPT or Gemini and keep the same confidence scores and audit trails.
- Hosted on AWS with keys in AWS KMS, AES-256 encryption at rest and TLS 1.2 or higher in transit.
- ISO 27001:2022 audit by Prescient Security in 2026.
- The CTO wrote in January 2026 that he built slide decks with Lovable and Claude Code instead of slide software.
Tools named in the sources
Each one opens its page in the Tools tab, with every story that uses it.
Who tried this before anyformat, and why did they fail?
Four companies in our database of failed startups promised to take the work out of paperwork or to turn messy sources into structured data. The values below are from that database and are not independently verified.
Canvas
The promiseTurn paper forms into digital workflows.
Why it diedMicrosoft and Adobe offered the same inside their suites, and low-code platforms took the rest.
Lendsnap
The promiseGather a borrower's mortgage documents automatically.
Why it diedOne document feature was not enough against Blend's all-in-one mortgage platform.
Dashblock
The promiseTurn any web page into an API with no code.
Why it diedIts technology fell behind AI methods and the constant changes of web pages.
Olive AI
The promiseAutomate the administrative work of hospitals, such as prior authorizations and billing.
Why it diedThe automation needed much human work behind it, and costs grew faster than revenue.
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
Canvas and Lendsnap sold one step of paperwork and lost to larger suites that added the step for free. Dashblock and Olive AI promised automation that, in the database's account, still needed manual repair. anyformat faces the first risk directly: the model makers and the cloud providers (AWS Textract, Google Document AI, Azure Document Intelligence) all sell document reading.
The difference anyformat claims is that large language models can now read almost any layout without templates, so the hard part has moved from reading to proving the result is right. Its product is built around that proof (confidence, citations, validation rules, audit trails), which the general models do not provide by themselves.
Can one person copy anyformat now?
Not as a solo project. The idea of selling verification, yes.
anyformat is two founders with physics and AI-engineering backgrounds, a team of nine and EUR 3.8 million of reported funding, selling to large enterprises with security certificates. One person cannot copy that sales motion. The narrower idea is open: a small tool that adds confidence scores and page citations to AI extraction for one document type and one industry.
Where it is still open: Single-industry extraction with audit trails: customs documents, insurance claims, medical invoices for billing teams, public tenders.
- 1Pick one document type that a regulated team checks by hand, such as bank statements or bills of lading.
- 2Return every value with its page position and a confidence score, and send only low-confidence fields to a person.
- 3Publish a benchmark on real documents against the general models, and repeat it when new models appear.
- 4Offer a free credit allowance so developers can test before sales calls.
What could go wrong for anyformat?
The risks are the mirror image of the causes above.
What is not verified
No revenue figure was found. We looked for a payment-processor profile, a founder interview with revenue, and a company-register filing, and found none. The Officer wrote in November 2025 that the company's goal is EUR 1 million of annual recurring revenue in 2026; that is a target, not a result. The headline, 1 million documents processed, rests on one sentence in an Up Next event report of 6 June 2026 that does not give its source. A reader could look for the company's annual accounts in the Spanish companies register or a later funding announcement with figures.
Customers and testimonials
The CEO's author page names L'Oréal, IAG, Iberia and the Government of Singapore as customers, and Up Next repeats three of them; no customer statement was found. The home page quotes a testimonial attributed only to "AP Operations Lead, Global manufacturer". The Spanish press articles of May 2026 listed on the press page discuss document automation in general and give no figures about the company.
Competition
The company's own pages compare it with more than 30 products, from AWS Textract and Google Document AI to Reducto and LlamaParse. On this site, PDF Vector (a document parsing API, grade C) and Normain (cited answers from documents, grade E) sell similar products to smaller customers.
Dependence on model providers
anyformat's home page benchmarks itself against GPT, Claude and Gemini, which it also uses. Its CTO wrote on 16 June 2026, after a government order took two Anthropic models offline, that the pipelines run on Claude, GPT or Gemini and are built to survive a model swap. If the general models add calibrated confidence and citations themselves, the gap anyformat sells becomes smaller.
Team size
The company was started by two co-founders and had nine people in November 2025 after a seed round, according to The Officer. The careers page lists open roles and hubs in Madrid and Palma de Mallorca, so the team may be larger now.
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.
- D Up Next, 6 June 2026: South Summit Madrid 2026: Mitiga Solutions Wins, Plus the StandoutsRead the section on anyformat. Source for the 1 million documents and the three named customers.
- C The Officer, 27 November 2025: Anyformat, la startup que ordena el caos documental con inteligencia artificialRead in full (Spanish). Source for the founders, the pre-seed and seed rounds, the team of nine and the 2026 revenue target.
- C anyformat home page, read 5 November 2026Read in full. Source for the product, the benchmarks, the security claims and the testimonial.
- C anyformat pricing page, read 5 November 2026Read in full. The annual price is loaded by script and was not visible.
- C anyformat press page, read 5 November 2026Read in full. Lists the Expansión funding article (not opened: Expansión's robots.txt disallows ClaudeBot) and the May 2026 Spanish articles.
- C anyformat author page: Juan Huguet García, CEO and co-founderRead in full. Source for the CEO's background, the investors and the named customers.
- C anyformat author page: Diego Pérez Sastre, CTO and co-founderRead in full. Source for the CTO's background and the list of blog posts with dates.
- C anyformat careers page, read 5 November 2026Read in full. Source for the small team and the office hubs.
- C Internet Archive copy of anyformat.ai, 18 June 2024Read in full. The earliest archived home page.
- C anyformat blog, 16 June 2026: Your AI Stack Can Disappear Overnight. Now What?Read in full. Source for the model-agnostic design and the models named.
- C anyformat blog, April 2026: ISO 27001:2022, Certified. The Trust Was Engineered Before the Audit.Read in full. Source for the auditor, AWS KMS and the encryption details.
- C anyformat blog, 22 January 2026: AI Agents Don't Kill Document Processing. They Make It Inevitable.Read in full. Source for the use of Lovable and Claude Code.
- 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