GuidesComparisonDennis Raisich
Fusewise alternative for due diligence
Fusewise describes itself as an AI platform for legal due diligence in M&A: it reviews a virtual data room and produces a red flag report, organized by legal area, jurisdiction and impact on the deal. majiq is an AI due diligence platform from Switzerland, with the data room, analysis and report in one place. The two are similar on data location; the main difference is the scope: Fusewise focuses on legal due diligence, while majiq reviews legal, tax and financial matters in context.
In short
- Fusewise is an AI platform for legal due diligence in M&A from Fusewise AG in Erlenbach ZH. The result is a red flag report with source links.
- Its legal basis today is Swiss law, with further jurisdictions to follow.
- majiq covers legal, tax and financial due diligence, cross-checks contracts, financial statements and the plan, and writes the due diligence report, with every finding backed by evidence.
- Fusewise stores data in Switzerland and processes it in the EU. With majiq, the database and files are stored in Switzerland, and text recognition and AI analysis run in the EU.
What is Fusewise?
According to its product page, Fusewise is an AI platform for legal due diligence in M&A: it reviews a virtual data room and produces a red flag report, organized by legal area, jurisdiction and impact on the deal. The provider is Fusewise AG, based in Erlenbach ZH, Switzerland, and founded in 2025 (company page). According to its FAQ, Fusewise is aimed at “M&A deal teams: law firms, in-house legal, and investors (PE, VC, corporate M&A).”
According to the product page, the process starts with a deal questionnaire, and a web crawler adds public information. Then the transaction perimeter is set and the entire data room is uploaded, with a separate AI agent for each legal area. The team edits and comments on the draft together and exports a red flag report with source links.
According to the product page and the FAQ, Fusewise also generates an information request list (IRL) and a deal overview with detection of missing documents, plus a structured summary for each area with Q&As on open points. Fusewise prioritizes findings by their impact on the deal, and each one can be traced back to its source with a click. Findings are checked against each other (“multi-agent debate”), and uncertain points go to human review.
According to the FAQ, Fusewise is not a chatbot: open points become prioritized Q&As for the other side, whose answers can feed into a new run, for both buy side and sell side. The legal basis today is Swiss law, with further jurisdictions to follow. Fusewise reads documents in several languages; findings are in English by default, with translation into local languages on request.
On its security page and in its FAQ, Fusewise states: “Your data resides in Switzerland; processing runs in the EU.” By its own account, the platform complies with the Swiss Federal Act on Data Protection (FADP) and the GDPR. The Trust Center lists as subprocessors Microsoft Azure for hosting and the LLM gateway (CH/EU), Google Cloud Platform as an LLM gateway (EU), and AI models from Anthropic and Google Gemini via the gateway. Further selectable regions are not stated publicly.
What is majiq?
majiq is an AI due diligence platform from Switzerland. majiq reads every document in the data room, checks it in context and writes the due diligence report. The platform covers legal, tax and financial due diligence and cross-checks the areas: contracts against financial statements, financial statements against the plan. If they don’t match, majiq shows the contradiction as a finding. majiq reads revenue, EBITDA and net debt per company directly from the financial statements and recalculates them, and every number is linked to its source.
The report starts with a management summary, followed by the findings by area, the value potential and the appendix. Every finding names its source, comes with a recommendation and is cross-checked by two AI reviewers. You accept or reject the AI’s suggested changes. Sellers, bidders and specialists work in the same data room, each role with its own permissions. The database and files are stored in Switzerland, with hosting in Zürich. Text recognition and AI analysis run in the EU. The sample report shows what a report looks like, and all features are listed under Features.
Fusewise and majiq compared
| Criterion | Fusewise | majiq |
|---|---|---|
| Type of offering | AI platform for legal due diligence in M&A, with a red flag report | AI due diligence platform: data room, analysis and report in one place |
| AI features for due diligence | One AI agent per legal area; information request list (IRL) and deal overview with detection of missing documents; findings prioritized by impact on the deal and checked against each other (“multi-agent debate”); open points as Q&As for the other side; legal basis today Swiss law | Sorting documents and finding missing ones; cross-checking contracts, financial statements and the plan; recalculating revenue, EBITDA and net debt; tabular review; AI assistant; draft report |
| Report with evidence for every statement | Red flag report with source links; every finding traceable to its source with a click | Due diligence report; every finding names its source, and in the online report every statement leads to its source |
| Data location according to the provider | Data in Switzerland, processing in the EU; Microsoft Azure (CH/EU) and Google Cloud Platform (EU). Further selectable regions: not stated publicly | Database and files in Switzerland, hosting in Zürich; text recognition and AI analysis in the EU |
| Target group according to the provider | “M&A deal teams: law firms, in-house legal, and investors (PE, VC, corporate M&A)” | Sellers, buyers, investors and advisors who sell, buy or review a company |
When does Fusewise fit, and when does majiq?
Fusewise fits if a deal team, such as a law firm, an in-house legal team or an investor, needs legal due diligence under Swiss law and wants a red flag report at the end, organized by legal area, jurisdiction and impact on the deal. According to the provider, a separate AI agent works on each legal area, the findings are checked against each other, and open points go to the other side as prioritized Q&As.
majiq fits if tax and financial matters need to be reviewed alongside legal ones and the areas should be read against each other: contracts against financial statements, financial statements against the plan. majiq recalculates revenue, EBITDA and net debt, and sellers, bidders and specialists work in the same data room, each role with its own permissions.
Frequently asked questions
Which areas do Fusewise and majiq review?
Fusewise describes itself as an AI platform for legal due diligence in M&A, with a separate AI agent for each legal area; its legal basis today is Swiss law, with further jurisdictions to follow. majiq covers legal, tax and financial due diligence and cross-checks the areas, such as contracts against financial statements and financial statements against the plan.
Where is the data stored with Fusewise and with majiq?
Fusewise states: “Your data resides in Switzerland; processing runs in the EU.” With majiq, the database and files are stored in Switzerland, with hosting in Zürich. Text recognition and AI analysis run in the EU.
How do open questions get to the other side?
With Fusewise, open points become prioritized Q&As for the other side, whose answers can feed into a new run. With majiq, sellers, bidders and specialists work in the same data room, and questions and answers stay linked to the document there. If a document is missing, majiq prepares the request to the seller and sends reminders until it arrives.
Sources
- The Fusewise Legal DD Engine: AI VDR & Contract Review
- About Fusewise: Swiss AI Legal Due Diligence Company
- Fusewise FAQ: AI Legal Due Diligence for M&A
- Security & Data Protection: Swiss Data Residency Legal AI
- Fusewise Trust Center
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As of November 5, 2026. Information on Fusewise is based on the provider’s publicly available pages, accessed on November 5, 2026. All trademarks belong to their respective owners. If any information is out of date, we will correct it.