# AUDAVIS

Aiolum story: https://aiolum.com/story/audavis/ · added 2026-11-07 · updated 2026-11-07

**In short.** AUDAVIS (AI co-pilot for statutory audits: scores the risk of every ledger line and prepares the auditor's working papers, Germany): 6 audit firms quoted as users, November 2026. Evidence grade E: no revenue figure was checked. Team: 3 co-founders when the seed round was announced in January 2025 (Munich Startup); later headcount not published. Launched February 2025; still running.

AI co-pilot for statutory audits: scores the risk of every ledger line and prepares the auditor's working papers · Germany · AI-native · team of 2 to 10 · still running · group: Finance, risk and compliance

- Outcome: 6 audit firms quoted as users, November 2026 (evidence grade of the headline number: E; no revenue figure)
- Launch: February 2025; months from launch to the outcome: 21
- Team: 3 co-founders when the seed round was announced in January 2025 (Munich Startup); later headcount not published
- Outside funding: Seed round of more than EUR 1.1 million led by High-Tech Gründerfonds, January 2025 (as reported by Munich Startup)
- Main factor: Domain expertise
- Meters, 1 to 4: evidence strength 1, copyable pattern 1, capital needed 2
- Tags: AI-native, Small team, Funded, Running, B2B, Audit software

Links:

- Visit audavis.ai: https://audavis.ai/

**The product.** A web platform for auditors. The auditor uploads a client's ledger data, and the platform builds a separate cloud environment for that client, prepares the standard working papers and dashboards for the general ledger and the subledgers, and gives every booking line an AI risk score. Paid plans add document matching with OCR, sampling and analyses asked in natural language.

**Why it worked.** Auditors usually test a sample of bookings, and preparing client data for analysis takes data engineers or days of spreadsheet work. AUDAVIS sells the automatic preparation and a risk score for every line, so small and mid-sized audit firms without their own IT department can test the whole ledger from the first day of the audit.

Evidence grades: A = disclosed by a public company, a filing or a payment processor, or verified by one; B = two or more independent reports agree, or a journalist confirmed it; C = a founder claim that no one else verified; D = reported, not verified: one founder claim or a third-party estimate with no second source; E = no revenue figure found, so the headline is a non-money fact and the other facts carry their own grades; calc = computed on this page from graded facts.

## Summary

AUDAVIS is Munich software for the statutory audit, the yearly check by an independent auditor that a company's annual accounts are correct. It reads the client's general ledger, the full list of booked transactions, from more than 20 ERP and accounting systems, gives each booking line an AI risk score, and prepares the working papers, the documents in which an auditor records each test and its result. The English pricing page lists three plans on 7 November 2026, at EUR 160, EUR 220 and EUR 350 per user per month.

Three co-founders started the company in 2023: Philipp Roebruck, an auditor who worked nine years at a Big Four firm, Otrek Wilke and Benjamin Aunkofer. Munich Startup reported on 15 January 2025 that they had raised a seed round of more than EUR 1.1 million led by High-Tech Gründerfonds; in February 2025 the founders said the platform was open only to selected auditors.

No revenue figure was found. The headline is a status read on the home page on 7 November 2026: auditors from six named audit firms, among them Crowe BPG and Moore TK, are quoted as users. An archived copy shows that the paid plans were already listed on 20 January 2026, at lower prices.

## Pricing

AUDAVIS prices read on the company's English pricing page on 7 November 2026, in euros per user per month, not converted to US dollars (grade C)

| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Basic | not stated | 160 per user | up to 2 GB of raw data per client; up to 20 users; onboarding training; standard support |
| Professional | not stated | 220 per user | up to 8 GB per client; up to 100 users; OCR document matching, sampling, analyses in natural language; priority support |
| Enterprise | not stated | 350 per user | up to 20 GB per client; unlimited users; one extra read-only user for every 5 users; individual support |

All values in this table are euros. The page shows one price per plan and does not say whether it is billed monthly or yearly, so the yearly column says "not stated". The page says the cost per user per month equals "just one billable hour". On 20 January 2026 the same three plans cost EUR 120, EUR 154 and EUR 210 per user per month (Internet Archive copy).

## How much revenue does AUDAVIS make? The numbers, graded

A funded three-founder company in Munich with public prices and named audit-firm users, and no revenue figure published

| Fact | Value | Grade | Note | Sources |
|---|---|---|---|---|
| Audit firms quoted as users, November 2026 | 6 (Dr. Dienst & Partner, Moore TK, Gebr. Scheurer, NorCon Revision, Crowe BPG, smartaudit & advisory) | C | Home page, read 7 November 2026: seven testimonials, each with an auditor's name; six give the firm. One says: "AUDAVIS wertet bei uns den gesamten Buchungsstoff vollständig aus und nicht nur stichprobenartig" (at our firm AUDAVIS evaluates the entire booking data completely, not only by sampling) (translation). No firm statement outside the company's site was found. | [1] |
| Founded | 2023, Munich | C | Munich Startup profile: "Gründung 2023" (founded 2023) (translation). The VCNews list of German AI startups also gives 2023 and the stage "Seed". | [6, 7] |
| Founders | Philipp Roebruck (CEO), Otrek Wilke (CTO), Benjamin Aunkofer (Chief AI Officer) | C | Munich Startup, 15 January 2025, gives the roles. The interview of 7 February 2025 says Roebruck worked "neun Jahre als Wirtschaftsprüfer" (nine years as an auditor) (translation) at a Big Four firm. The imprint lists all three as managing directors of Audavis GmbH, Amtsgericht München HRB 286180. | [4, 5, 8] |
| Team | 3 co-founders; later headcount not published | C | The home page and Munich Startup show the three founders. The founders told Munich Startup in February 2025 that they prefer "einen kleinen, aber sehr schlagkräftigen Kern" (a small but very effective core team) (translation) and build all software in-house. No source gives a later headcount. | [1, 4, 5] |
| Funding | seed round of more than EUR 1.1 million, January 2025 | C | Munich Startup, 15 January 2025: led by High-Tech Gründerfonds, with business angel Martin Ostermayer and private investors from the Baystartup investor network. | [4] |
| Prices, November 2026 | EUR 160, EUR 220 and EUR 350 per user per month | C | Company's English pricing page, read 7 November 2026. | [2] |
| Prices, January 2026 | EUR 120, EUR 154 and EUR 210 per user per month | C | Internet Archive copy of the English pricing page, 20 January 2026, with the same plan names (Basic, Professional, Enterprise). | [3] |
| Price change, January to November 2026 | +33.3% (Basic), +42.9% (Professional), +66.7% (Enterprise) | calc | Calculated: 160/120, 220/154 and 350/210, each minus 1. | [3, 2] |
| What the AI does | a risk score for every booking line, from more than 40 rule-based tests and AI models | C | Home page: ">40 regelbasierte Tests und KI Modelle analysieren Ihren gesamten Buchungsstoff" (more than 40 rule-based tests and AI models analyse your entire booking data) (translation). The features page says every transaction line is analysed for risk at the start of the audit. | [1, 9] |
| Company counters, November 2026 | 600+ engagements, 3.6+ terabytes of data, 20+ ERP and accounting systems | C | Home page section "In Zahlen": "600+ Erfolgreiche Mandate" (600+ successful engagements) (translation). The section says the numbers show the technology and "die praktische Erfahrung, die wir in datengetriebene Prüfungen einbringen" (the practical experience we bring to data-driven audits) (translation), so they may include work from before AUDAVIS. | [1] |
| Time from the selective launch to the November 2026 status | 21 months | calc | Calculated: February 2025 (platform open to selected auditors) to November 2026. | [5, 1] |

How to read this table: grade C is the company's own page or an article that repeats the company's statements; grade X is calculated on this page. No value is grade A or B, and no row is a revenue figure.

## When did AUDAVIS launch, and how did it grow? Timeline

From a 2023 company and an archived product page in 2024 to a seed round, a selective launch and public prices. Each entry carries its grade.

- **2023** (grade C [6, 7, 8]): Audavis GmbH is founded in Munich by Philipp Roebruck, Otrek Wilke and Benjamin Aunkofer.
- **1 March 2024** (grade C [11]): The earliest archived home page describes a data-analysis platform that prepares data-driven working papers and extends risk assessment to the whole ledger with AI. It shows no prices.
- **15 January 2025** (grade C [4]): Munich Startup reports a seed round of more than EUR 1.1 million led by High-Tech Gründerfonds, and third place in the Munich business plan competition 2024.
- **7 February 2025** (grade C [5]): The founders tell Munich Startup that the core features are open to selected auditors and that they plan to open the platform to the whole market at the end of the second quarter.
- **20 January 2026** (grade C [3]): An archived pricing page lists three paid plans at EUR 120, EUR 154 and EUR 210 per user per month.
- **7 November 2026** (grade C [2, 1]): The pricing page lists EUR 160, EUR 220 and EUR 350 per user per month; the home page quotes auditors from six named firms.

## Why did AUDAVIS work?

### Test every line, not a sample

Auditors normally draw a statistical sample of bookings. AUDAVIS scores every booking line, and one quoted auditor writes that it narrows more than one million lines to a few hundred that matter for the audit. The auditor still decides; the score is an extra input to the risk assessment.

### Automate the data engineer

The founders told Munich Startup that other audit-analytics vendors need data analysts to prepare each client's data. AUDAVIS automates that step: the company says setting up a client takes less than an hour and the working papers are ready on the first day of the audit.

### Founders from the buyer's profession

The CEO is a qualified auditor from a Big Four firm, and the Chief AI Officer has years of data analysis for audits at large audit firms. The working papers follow the audit standards that auditors cite (ISA 315, ISA 240, ISA 520), which the how-it-works page names.

## How it was built

These details come from the company's own pages and from what the founders told Munich Startup. They are grade C.

- A separate, isolated cloud environment is created for each client engagement, because auditors must keep client data confidential.
- Data import from more than 20 ERP and accounting systems; the founders name SAP, Sage and DATEV.
- More than 40 rule-based tests and AI models; the home page counts 3 dedicated AI systems, 48 data-driven audit procedures and 37 journal entry tests.
- The Chief AI Officer told Munich Startup that the AI system has several layers and runs as distributed computing with federated deep learning.
- All software is built in-house; the public website is built with Next.js, as its page source shows.

Sources: [1, 4, 5, 9, 10]

## Who tried this before AUDAVIS, and why did they fail?

Three companies in our database of failed startups promised to automate accounting work or to give non-technical people data analysis without data scientists. The values below are from that database and are not independently verified.

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

### ScaleFactor (2014 to 2019; funding US$100M; cause: Product/Tech Failure)

- Promise: Automated bookkeeping and financial analytics for small and mid-sized businesses.
- Why it died: The database says it relied too much on automation that did not work well enough and promised more than the product did.
- Record: 

### NetBooks (2006 to 2011; funding US$33M; cause: Competition)

- Promise: Online accounting for small businesses.
- Why it died: It could not stand out against QuickBooks and its costs were high.
- Record: 

### Zillabyte (2012 to 2015; funding US$2M; cause: Competition)

- Promise: Turn raw data into decisions for people without data-science skills.
- Why it died: Better-funded analytics platforms won, and it had no narrow market focus.
- Record: 

## What changed

ScaleFactor sold automation that, in the database's account, still needed people behind it, and Zillabyte sold general data analysis to everyone. AUDAVIS chose one profession with fixed procedures: the audit standards define which tests an auditor runs, so the platform can prepare the same working papers for each client automatically.

Two things are newer. AI models can now give a risk score to every booking line at low cost, which makes testing the whole ledger practical instead of a sample. And the shortage of auditors in Germany, which the founders cite from a 2022 survey, makes firms pay for software that saves audit hours: the pricing page compares the monthly price per user with one billable hour.

## Can one person copy AUDAVIS now?

**Verdict: Not as a solo project. The idea of automating one profession's standard procedures, yes.**

AUDAVIS has a qualified auditor, a cloud-security engineer and an AI specialist as founders, seed funding, and a buyer that must trust it with confidential client data. One person cannot easily repeat that. The narrower pattern is open: pick a profession whose work follows written standards, automate the data preparation and the standard tests, and price it against the hourly rate of that profession.

1. Choose a profession with written standards that define the routine tests, such as auditing, tax review or quality control.
2. Automate the data import from the systems that its clients use, so no data engineer is needed.
3. Produce the documents the professional must keep, in the format they already use.
4. State the price in the buyer's own unit, such as one billable hour per user per month.

**What is still open.** Similar tools for tax auditors of small firms, for internal audit in mid-sized companies, or for audits in countries with other accounting standards.

## What could go wrong for AUDAVIS?

- **What is not verified.** No revenue figure was found. We looked for a payment-processor profile, a founder interview with revenue, and a filing in the company register, and found none. Munich Startup reported on 15 January 2025 that the company had "Absichtserklärungen und Vorverträge im sechsstelligen jährlichen Umsatzwert" (letters of intent and pre-contracts with a six-figure annual value) (translation); that is a pipeline before launch, not revenue. The headline, six audit firms quoted as users, rests on the company's own home page. A reader could look for the annual accounts of Audavis GmbH (HRB 286180) in the German company register or for a statement by one of the named firms.
- **Trust signals on the home page.** The row "Partnerschaften & Auszeichnungen" (partnerships and awards) shows five logos. High-Tech Gründerfonds and the Munich business plan competition match the Munich Startup article, and the NVIDIA logo image reads "Inception Program". A plain Microsoft logo and the logo of the KI Bundesverband (German AI association) have no text that says what the relation is, and no source we read explains them. The counter "600+ Erfolgreiche Mandate" (600+ successful engagements) is introduced as showing the team's practical experience, so it is not clear whether it counts only engagements on AUDAVIS since the 2025 launch.
- **Competition.** The founders told Munich Startup that the Big Four audit firms build their own tools and that other audit-analytics vendors need manual data work. On this site, Punchcard (AI agents that test audit evidence and prepare workpapers, grade E) sells a similar product to audit firms.
- **Dependence on model providers.** No source we read names an outside AI model provider. The home page describes 3 dedicated AI systems and more than 40 rule-based tests and models, and the Chief AI Officer told Munich Startup in January 2025 that the system uses federated deep learning. The Professional plan's analyses in natural language may use a large language model; the pricing page does not say which.
- **Team size.** The company was started by three co-founders, who were the team shown when the seed round was announced in January 2025. No source gives a later headcount, and no source suggests more than ten people.

## Sources

1. AUDAVIS home page, read 7 November 2026 — https://audavis.ai/ (grade C). Read in full (German). Source for the product, the AI risk score, the counters, the testimonials with firm names, the founders and the partner logos (the logo images were also opened).
2. AUDAVIS pricing page (English), read 7 November 2026 — https://audavis.ai/en/pricing (grade C). Read in full. Source for the three plans, their limits and the billable-hour comparison.
3. Internet Archive copy of the AUDAVIS English pricing page, 20 January 2026 — http://web.archive.org/web/20260120190729/https://audavis.ai/en/pricing (grade C). Read in full. The earliest archived pricing page; source for the January 2026 prices.
4. Munich Startup, 15 January 2025: Audavis sichert sich Seed-Finanzierung — https://www.munich-startup.de/news/audavis-seed-finanzierung (grade C). Read in full (German). Source for the seed round, the investors, the founders' roles, the letters of intent and the business plan competition.
5. Munich Startup, 7 February 2025: Audavis: KI-Co-Pilot für die Wirtschaftsprüfung — https://www.munich-startup.de/news/audavis-7-fragen (grade C). Read in full (German). Interview; source for the founding story, the selective launch, the market plan, the competition and in-house development.
6. Munich Startup startup profile: Audavis GmbH — https://www.munich-startup.de/startups-and-ecosystem/audavis-gmbh (grade C). Read in full (German). Source for the founding year 2023 and the B2B model.
7. VCNews: Startup-Liste, sector KI (German AI startups) — https://vcnews.de/startup-liste/sektor/ki (grade C). Read the AUDAVIS entry in the copy downloaded by the pipeline on 7 November 2026. Source for the founding year, the stage and the description.
8. AUDAVIS Impressum (imprint), read 7 November 2026 — https://audavis.ai/impressum (grade C). Read in full (German). Source for the company name, the managing directors and the register number.
9. AUDAVIS features page (English), read 7 November 2026 — https://audavis.ai/en/features (grade C). Read in full. Source for the per-line risk analysis, the isolated client environments and the subledger procedures.
10. AUDAVIS how it works (English), read 7 November 2026 — https://audavis.ai/en/how-it-works (grade C). Read in full. Source for the first-day working papers and the audit standards named.
11. Internet Archive copy of audavis.ai, 1 March 2024 — http://web.archive.org/web/20240301090234/https://audavis.ai/ (grade C). Read in full (German). The earliest archived home page.
12. Database of failed startups, local export — /method/#dead (grade C). Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

Contact: aiolum@livyden.com. Run AUDAVIS? Send corrections or a verified figure to aiolum@livyden.com (subject: Correction: AUDAVIS).