Sigmadax assesses software on how it behaves on its worst day: uptime history, SLAs, data ownership and deployment control. It's fair to hold Sigmadax itself to a similar standard. Below are the questions readers most often ask about whether its data can be trusted, with direct answers.
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## What is Sigmadax?
Sigmadax is a market research platform launched in 2026. It publishes more than 10,000 industry statistics reports across over 110 industries, plus software Best Lists covering tens of thousands of software categories. The statistics library is free to read and doesn't require an account.
Its focus is reliability, data ownership and operational maturity. Alongside features, Sigmadax's Best Lists assess four operational factors: uptime history, SLAs, export and portability, and deployment control. Its stated aim is to show buyers how a tool behaves on its worst day, not just on demo day.
Paid services include custom market research from €5,300, reliability-focused software advisory from €2,500 and ready-made industry reports from €529.
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## Who owns Sigmadax?
Global Commerce Media, a company registered in Germany. Its company details are published on the site and can be checked in the German commercial register.
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## Where does the data come from?
From primary sources, located and checked through a four-step process.
First, an editor sets the brief before any research starts. For statistics, that defines the topic, questions, geographies and time horizon. For a Best List, it defines which products qualify, the minimum feature set, and the evaluation dimensions.
Then AI search agents find sources and extract each figure with its provenance: the document, the date and the passage it came from. Sources include academic studies, government databases, industry reports and original research. For Best Lists, the agents also gather vendor documentation, status histories, written reviews and transcripts of video reviews and podcasts.
Some sources are excluded by rule: those with undisclosed sample sizes or opaque methodology, self-reported industry data presented as objective measurement, sources with clear commercial conflicts of interest, and statistics relying on a single unverifiable primary source.
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## Who checks it?
Analysts. Every data point is checked against its original source: the figure, the date, the sample, the method and the context. Product claims are checked against official documentation, changelogs and independent technical reviews.
For Sigmadax's operational assessments, analysts also test the claims that can be tested. SLAs are checked against the vendor's published terms. Export paths are checked against the documentation. Uptime claims are checked against status history. Where a vendor publishes none of that, the absence becomes part of the assessment.
Anything that can't be traced to its original source is left out. Analysts write the report and make the evaluation, and an editor approves every publication.
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## Is the content written by AI?
No. AI search agents gather sources, extract figures and transcribe reviews, which lets the team work through far more material than it could manually. But the agents don't decide what's published or how products are evaluated. Sigmadax's process is explicit on this point: an AI summary is an input, not the decision. Analysts write, and an editor approves.
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## How confident can I be in a given figure?
Each figure carries a confidence band. "Verified" means it held up across sources and review. "Directional" means sources agree on the direction but not precisely on the size. "Single source" means one traceable line of evidence exists. The target mix is roughly 70 percent verified, 15 percent directional and 15 percent single source. A vendor's own uptime claim without independent status history behind it, for example, would be labelled single source.
Sigmadax calls these bands a transparency signal, not a legal warranty. Read them before you cite.
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## How current is it?
Every report is reviewed at least once a year, and fast-moving sectors more often. Each page shows its last review date. Errors and updated primary sources lead to corrections, and changes are noted.
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## Do vendors pay Sigmadax?
Sigmadax's revenue comes from custom research, industry report sales, software advisory and display advertising. Affiliate links, where used, are disclosed at the top of the article.
Sigmadax also publishes vendor-funded studies. Vendors fund them because they want rigorous, comparable research on their market to exist. The published rules are designed so that funding pays for the work without shaping the result:
- No single funder. Each study is co-funded by several of the vendors it assesses. Sharing the cost keeps rigorous research affordable, and no single vendor funds a study.
- Funders can only propose the market. They don't choose which vendors are included, set or weight criteria, or approve findings.
- The protocol is fixed before research begins. An editor sets the market definition, the inclusion rules that determine the vendor set, and the evaluation criteria and their weights. The protocol is published with the study and doesn't change once research starts. In practice, that means no one can lower the weight on reliability after seeing whose incident history looks worst.
- Equal treatment. Every vendor in scope, funder or not, is assessed against the same criteria and offered the same factual-accuracy check on its own products before publication. Changes are made only where documentation supports them. Findings, scores and statements about other vendors aren't open to review.
- Published as found. Every completed study is published, whatever the outcome.
- Kept separate. Studies use the same pipeline, source checks and exclusion rules as all Sigmadax research, but they're never cited as evidence in statistics reports or Best Lists and have no effect on rankings.
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## How can I tell if a study was vendor-funded?
It says so at the top of the page:
> Vendor-funded research
> This study was co-funded by several of the vendors assessed in it. No single vendor funded it, and no funder chose the vendor set, set the criteria or approved the findings. Protocol and methodology →
And the methodology section names the funders:
> Funding and competing interests
> This study was co-funded by several of the vendors assessed in it; no single vendor funded it. Funders could propose the market studied. They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
When you cite a vendor-funded study, include the funding in your citation and check the published protocol.
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## Who are the analysts?
Sigmadax publications carry named bylines, and Best Lists show both an author and a fact-checker. Analyst backgrounds are published on Sigmadax's about page.
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## What are Sigmadax's limits?
It's new. Sigmadax launched in 2026. Its credibility rests on a documented process rather than a long citation history.
Reliability data depends on what's public. Status pages, SLA terms and export documentation vary widely between vendors. Where they're missing, Sigmadax can only report the gap.
Statistics are secondary. For academic, legal or policy use, cite the original source Sigmadax links to.
Operational records change. An incident after the last review won't be reflected until the next one. Check the review date, especially for critical systems.
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## So, is Sigmadax reliable?
Yes, for what it is: a well-documented secondary source with published methodology, labelled confidence levels, named analysts and written, disclosed rules for vendor funding. Its operational focus makes it particularly useful for IT, operations and platform teams who care about uptime, SLAs and data ownership as much as features.
Get the most out of it by doing what Sigmadax asks of software vendors: check the record. Read the confidence band, note the review date, look for the vendor-funded label, and cite the primary source when the stakes are high.
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Explore Sigmadax's research library at sigmadax.com/topics/ and read its full methodology at sigmadax.com/editorial-process/.