Your AI is guessing. Qualitum is not.

Meet Qualitum, the world’s first AI Chief Quality Officer.

One platform for every requirement and document check. Agents for every workflow, working 24/7.

Get a free gap reportMeet the agents

Deployed inside a Global Top-10 pharmaceutical manufacturer. Signed by their QA.

The problem

Meeting every standard, every time, is brutally hard.

Quality assurance should prevent mistakes before they happen. Today it still means people reading thousands of pages by hand, like checking three supplier offers against one specification.

Time

Weeks of reading.

Hundreds of requirements checked against dozens of documents, line by line, by hand.

Expertise

Scarce experts.

Only a few people can judge a spec against evidence. They are the bottleneck on every deadline.

Method

No two reviewers agree.

What counts as met, partial or missing lives in people’s heads. It leaves when they do.

Cost of mistakes

One missed line costs millions.

A failed audit, a rejected batch or a lost tender costs far more than finding the gap.

Matt (Matevž) Baškovc, Founder & CEO of Qualitum
Why we built Qualitum · A note from our founder

Quality is the 1% that makes or breaks a company. Until now, only the biggest could afford to get it right.

Every product that reaches a patient, a plane or a power grid stands on quality assurance. It is the standard customers trust and auditors test. When it slips, one missed line can sink a launch, a batch or a brand.

Doing QA properly takes rare people: auditors, validation engineers and subject-matter experts for every standard, applied to every document, every time. No team can hire enough of them.

So we built Qualitum: an AI Chief Quality Officer with a swarm of agents that learn your company’s knowledge and do the expert work, with proof behind every answer.

  • Better quality
  • Better decisions
  • Competitive edge
  • Compliance and trust
Matt BaskovcFounder & CEO · MBA · 3x exits · ex-BotechISO 27001 Lead Auditor · Cybersecurity & tech expert
Book a 1:1 with meConnect with me

ChatGPT gives you a best guess. Qualitum gives you audit-ready proof.

87% of buying decisions made with frontier AI models still get re-checked by a person. In B2B it is every decision, by hand. When an answer has even a 1% chance of being wrong, the consequences are brutal. And someone has to sign for it.

See how Qualitum proves it
Solution

Every quality check,
turned into apples to apples.

Qualitum reads every document and puts them in one structured comparison. Every cell traced to its source page. One place for all the work.

InputsAny format, any language
DOC
Customer URSrev. 4 · Word
PDF
Supplier offers3 files · DE / EN
XLS
Comparison sheetsExcel matrices
REG
RegulationsAnnex 11 · Part 11 · GAMP 5
PDF
Machine & technical guidesFR / IT / DE
PDF
Vendor documentsCertificates · FAT · DoC
Compare all three offers against URS rev. 4
Done. 312 requirements compared across 4 documents. 7 deviations flagged for your review.
RequirementURS rev. 4Supplier ASupplier BSupplier C
3.2.1 Operating range−20…+55 °CMetTR-118 §4.2MetSpec p.12Partial+45 °C only
4.2.7 Reject verificationEvery packMetFS-M04 §3.1Metp.22Metp.9
6.1.3 Data retention10 yearsMetFS §2.4Conflict7 years, p.31Metp.14
6.1.7 Audit trail PDF/ARequiredMetOQ-23Metp.33GapNo evidence
8.4.1 Changeover< 15 minPartial18 min, p.40Metp.45Metp.21
Score312 req.291 met274 met184 met
OutcomesWhat you get from every comparison
10×faster comparison
50%less reading
1:1apples to apples, every offer on the same terms
Bestquality decision, every time, with proof
Principle

Finally, apples to apples. Without hundreds of hours.

Before anything is compared, every document is normalised to the same requirement, the same unit and the same language. Only then is it scored.

Same requirementEvery offer mapped to URS IDs, not to its own chapter numbers.
Same units°C, years, minutes and dB(A), converted before comparison.
Same languageGerman, French and Italian sources read side by side with English.
Same evidence barNo page, no status. Claims without proof count as gaps.
50%lower costGaps caught at the document stage, not as a recall or a customer complaint.
ISO-leveltrust on autopilotConsistent, proven quality that customers and auditors can rely on.
80%less wasteStandardised checks that save time, material and rework.
60%better decisionsEvery offer scored on the same evidence, so the right choice is clear.
Seven agents on one engine, working 24/7

One agent for every use case. All running on Consensus OS.

See all agents
Built for buyers atPharma, biotech and medical device companies
How it works

Learn. Execute. Sign.

Three steps, every time. See the full engine.

1Learn

Your documents become one private brain.

Requirements, SOPs, templates and regulations. Nothing from the open internet.

2Execute

Agents check every line.

Each result links to its source. Models must agree, or a person decides.

3Sign

A person signs. Everything is logged.

Every draft, check and signature is recorded and ready for the auditor.

Customers
“We’ve cut more than 50% of the time out of our validation process, and the cost saving has been enormous. The evidence package is what makes it real: a system we can hand to an auditor and defend.”
Portrait of a head of quality engineering
Head of Quality EngineeringGlobal Top-10 Pharmaceutical Manufacturer
>50%Time cut from the validation process
70%Less authoring on IQ/OQ/PQ
48 hFrom two documents to a gap report
3–4×Faster CSV cycle vs. manual
8–12 wkTo first agent in production

Measured inside a Global Top-10 pharmaceutical manufacturer.

Industries

Built on pharma validation. Now across regulated industries.

Explore industries

Trace graphsEvery answer in two clicks.

Humans signAgents never approve.

Your perimeterSingle-tenant, any LLM.

100% reviewedEvery record, not a sample.

Free gap report

Hire your AI CQO for one job. Free.

Send one requirement document and one piece of evidence. The same agents that run inside a Global Top-10 pharmaceutical manufacturer find every gap and tell you what it would mean at audit. You get the report in 48 hours.

48 hFrom receiving your files to the report in your inbox
€0€2,500Free for your first document pair
2 filesOne requirement, one piece of evidence
NDA from our sideData deleted after deliveryNo login, no call required

Request your gap report

Upload now, or email both files to gapcheck@qualitum.ai.

Equipment supplier? Send a customer URS instead →

Prefer the NDA in place before anything leaves your building? Send the email first and we will countersign it ahead.

Received.

We will send our NDA today and your report within 48 hours of receiving both files.

FAQ

Short answers.

Each agent page has its own FAQ. The full pharma FAQ is on Life Sciences.

What is an AI Chief Quality Officer?

A team of AI agents that does the reading, comparing, gap-finding and drafting work of a quality department, 24/7. Every answer is traced to the page that proves it. Your AI CQO prepares. Your qualified person signs.

Does the AI approve or sign anything?

No. Agents prepare and check. A qualified person on your side reviews, approves and signs every regulated output with an attributable e-signature. The Verifier Agent re-checks drafts before a person sees them, but the decision is always human.

How is this different from ChatGPT or Copilot?

A general chatbot gives you an answer. Qualitum checks every requirement one by one, against every document, and links each result to the page and clause that proves it. If there is no proof, it is a gap. Several models must agree before a result is shown.

Where does our data go?

Nowhere outside your perimeter. Qualitum runs single-tenant inside your cloud or on-prem, with EU, US or UAE residency and air-gap capability. You choose the model. We have no training rights and keep no data.

Which industries does it work in?

Any industry where requirements must be proven with evidence: life sciences, medical devices, aerospace, aviation, telecom, construction and industrial machinery. Our reference deployment is inside a Global Top-10 pharmaceutical manufacturer; the results we quote come from there.

What do we need to start?

Two documents for the free gap report. For a pilot: one project, one requirement set and its evidence, and one qualified reviewer. First agent in production in 8 to 12 weeks.