Our data

We publish what we read and what each instrument cannot see.

Most providers describe their sources in a way that cannot be checked, listing categories broad enough to include anything. We take the opposite position. This page sets out the eight classes of evidence behind every record, what each class reads, what each one cannot see, and the confidence band every data point carries, without naming a single source.

Every data point in a Zylabs record comes from one of eight classes of evidence and carries one of four confidence bands. We never read a company on its own: the suppliers, clients, subsidiaries and partners connected to it are read as well, because each of them publishes evidence about the company that it never publishes itself.

The whole network, not one company

We never read a company on its own.

Every supplier, client, subsidiary and partner connected to a company is read as well, because each of them leaves evidence about the company that it never publishes itself. A supplier’s client list, a partner’s case study and a subsidiary’s filing all describe the account from the outside, and reading them together is what turns a thin profile into a complete picture.

The evidence

Eight classes of evidence, each with a stated blind spot.

We publish the classes and we withhold the channels inside them, because the class tells you how much weight a line deserves while the channel list is the part a competitor would copy. A record states which classes were silent on the account you are looking at.

Class of evidenceWhat we readWhat it cannot see
01Compelled disclosureAnnual reports, statutory filings and investor materials.Private companies and markets where disclosure is thin.
02Additional filings required by governmentsGovernment filings naming the employer, worksite, role and wage.Countries where the filing is not mandated, and roles that do not require one.
03What the company writesJob specifications, engineering writing, conference talks and tender documents.Roles filled without a public posting.
04What its people writeProfessional profiles and first-hand accounts of the work, from primary and secondary sources.Built from a sample of the most relevant profiles, so it shows presence rather than volume.
05Third-party compelled recordsEnforcement actions, breach and layoff notices, court dockets and procurement awards.Anything a regulator or court has not yet made public.
06Corporate recordsRegistries, legal entity identifiers, group hierarchy and transactions, including for private companies.Private firms below registration thresholds, with coverage that varies by region.
07Technology and lifecycleTechnology fingerprints and vendor end-of-life calendars.Anything that runs entirely behind the firewall and leaves no trace of its implementation.
08Continuous web and newsCompany announcements, reviews and archived page history.Anything that was never published.
No dataset, provider or query is named on this page or anywhere else on this site. The classes are the level at which a reader can judge a record, and the channels inside them are the part of the work we keep.
Confidence

Every data point carries one of four confidence bands.

The band says how a data point was produced and how much weight it can bear. A modeled figure is always a range, and when the methods behind it disagree by more than 30 percent its confidence is marked very low rather than averaged into a number that looks precise.

Disclosed
HIGHEST CONFIDENCE
Taken directly from what the company publishes or is required to file.
For example: Revenue from the annual report, or a client named on the company’s own website.
Detected
HIGH CONFIDENCE
Read from the digital fingerprints a company leaves behind.
For example: A technology stack detected from the company’s website.
Inferred
MEDIUM CONFIDENCE
Several data points, usually from more than one source, point to the same internal program.
For example: Hiring for Salesforce implementation skills points to Salesforce as the CRM.
Modeled
ALWAYS A RANGE
Calculated from industry patterns and triangulated across methods. If the methods differ by more than 30 percent, confidence is marked very low.
For example: A private company’s technology spend, modeled on public peers of similar size, industry and geography.
What goes in, and what survives

Most of what we read never reaches a record.

Volume is the least interesting number on this page, because reading is cheap and judgement is not. The figures below describe one account read in September 2026, and they are typical of a deep read rather than exceptional.

StageOne retailer, read 7 September 2026
Public records screened for the supplier map12.6 million
Primary documents screened3,051
Primary documents read in full813
Open seats detected90
Graded lines written to the record105
Claims withdrawn since the first pass2
Primary against compelled

Much of what we read, the company wrote itself.

Classes three and four are primary evidence, meaning the company or the people who did its work produced the document for their own purposes rather than for a researcher. Classes one, two, five and six are compelled evidence, meaning a company or a third party had no choice about producing it. The two fail differently, which is why reading both matters more than reading a lot of either. A record built only on compelled evidence misses offshore delivery entirely, and a record built only on primary documents misses everything a company has never written about itself.

What we derive

The most useful lines in a record are not in any source.

No channel reports that a supplier relationship is cooling, that a team is roughly forty people, that a program has moved from evaluation to build, or that a technology wallet sits between $863M and $2.6B. The model computes each of those from evidence read across classes, states the basis it used, and labels the result modeled wherever it appears.

Derived lineComputed fromStated as
Supplier presence and trendEvidence density by year across classes one, two and fourCurrent, active, cooling or lapsed, with first and most recent evidence
Wallet band by functionTop-down revenue benchmark reconciled against bottom-up headcount and loaded costModeled, with the benchmark named and where it misapplies
Team sizeRecord counts and document volume, which undercountModeled, as a range
Program phaseThe language of the documents that name the programEvaluating, building, migrating or established, with confidence
Says against doesPublic commitments read beside hiring and supplier movementThe gap, named, with the evidence on both sides
Refresh

Each fact is re-read on its own clock.

Fact typeRe-read
Disclosed financialsWhen the company next reports
Open seats and programsDays
Supplier placementsDays to weeks
Stakeholder seatsWeeks, and a seat is current only while the role has no end date
Estate componentsWeeks to months
Modeled walletWhen its inputs move
Corrections

Corrections are published, and so is what they take down with them.

When a line is found to be wrong it is corrected in the record with its date, and every claim that rested on it is withdrawn at the same time rather than left standing. Three seats shown as current in an earlier pass of the retailer record had left the company, so the record says so and withdraws the two claims that depended on them.

Common questions

Common questions

Because a channel that cannot see a kind of company returns nothing for that company, and nothing reads exactly like a clean account. A reader who knows what an instrument misses can judge what a record is worth, and a reader who does not will eventually be misled by a gap they took for an absence.

The class tells you how much weight a line deserves, which is what you need to judge a record. The channel list is the part a competitor would copy, and it is most of what separates the Atlas from a database anyone can buy.

Because much of what matters about a company is published by someone else. A supplier names the account in its own case study, a subsidiary files what the parent never discloses, and a partner describes the program it was hired to deliver. Reading only the company itself leaves all of that out.

It is corrected in the record with its date, and every claim that rested on it is withdrawn at the same time rather than left standing. Corrections are published rather than quietly absorbed, because a provider that never publishes one is not more accurate than a provider that does.