Matterlyt is the compliance knowledge base for founders in the AI stack who answer enterprise security questionnaires and AI annexes without a compliance team — it captures every answer you give so the next sheet starts mostly done instead of from zero.

For founders who answer these themselves

You closed the deal.
Now close the spreadsheet.

You ship models, AI products, or the infrastructure they run on — and when an enterprise buyer sends the security review plus its AI annex, there's no one to forward it to. Matterlyt captures every answer you give and has it ready for the next sheet, cited and confidence-flagged — so each questionnaire starts mostly done instead of from zero.

First month free, then $299/month — as long as you stay a partner

A questionnaire arrives and is answered from knowledge captured on earlier deals — without starting over.
GDPR-ready EU-hosted No AI training on your data

The Problem

The questionnaire doesn't go to a team. It goes to you.

You sold the deal, you built the product, and when procurement sends the security review, you answer it too — usually after everyone else has logged off.

01

You Wear Every Hat, and This Is the Worst One

Founder, seller, engineer — and now the person filling in row after row about encryption, sub-processors, and the AI annex's model-provenance questions. There is no one to forward it to. The questionnaire waits for you, and the deal waits for the questionnaire.

02

Your Best Answers Are Trapped in Old Sent Folders

You answered the pentest question three deals ago — somewhere. So you rewrite it from memory, slightly differently each time. Answers that drift between buyers aren't just wasted effort; they're contradictions with your signature on them.

03

Every New Deal Starts the Same 200 Questions From Zero

The buyers change; the questions barely do. Yet each questionnaire costs you the same evenings as the last one, because nothing you wrote before is captured anywhere you can reuse it.

04

Hiring a Compliance Person Is Not the Answer Yet

At your stage the honest options are: your time, an expensive consultant per deal, or answers you can actually reuse. 52% of enterprise deals stall at security review — the fix has to work without adding headcount.

Upload. Answers ready.
Download. Send.

You own the process start to finish. Matterlyt handles the knowledge — and your team is looped in only when a question is genuinely new.

01 Upload

You Drop In the Questionnaire

Any format — spreadsheet, Word doc, PDF. You start pre-populated: the AI Vendor Trust Backbone (the ~200 questions buyers ask AI vendors) is loaded from day one, alongside everything you've already written.

02 Answer

Matterlyt Answers It

Every question is matched against your knowledge base and drafted automatically — cited and confidence-flagged. Anything genuinely new is routed to whoever knows, answered once, and captured forever.

03 Send

You Confirm and Send

The sheet comes back in the format it arrived. You review the flagged answers, confirm, and send from your own email — no portal, no hand-off. At 70%+ coverage you can send a preliminary response with pending answers marked inline.

FEATURES

Answer it once.
Matterlyt remembers.
The next sheet starts done.

Every feature serves one outcome: the questionnaire gets answered without a compliance hire — and every answer you give makes the next one cheaper.

The AI Vendor Trust Backbone: Pre-Loaded From Day One

A shipped library of the ~200 questions buyers ask AI vendors — security core plus AI-governance annexes, marked unverified until you confirm. Never an empty knowledge base.

~200 questions Security core + AI annexes Editable templates

Expert Routing: Answered Once, Captured Forever

Genuinely new questions go straight to whoever on your team knows. The answer lands in your knowledge base — the next questionnaire never asks it again.

Automatic routing Auto-captured Zero repeat work

Knowledge Base: Due-Diligence Knowledge That Compounds

Every confirmed answer compounds sheet by sheet. Matterlyt flags what's stale, inconsistent across buyers, or missing; you keep it true.

Builds + flags Stale detection You keep it true

Preliminary Answers: Respond in Hours, Complete in Days

At 70%+ coverage, send a preliminary response with pending questions marked inline — the buyer's review starts immediately, the complete version follows.

Configurable threshold Inline pending markers Buyer-ready

Governed Answers: Responses You Can Put Your Name On

Ask anything your customers' due diligence raises and get a grounded answer in seconds — source-cited, confidence-flagged, ready for a customer reply or an audit.

Source-cited Confidence-flagged Audit-ready

HOW IT COMPOUNDS

Sheet #1 already starts ahead. Every sheet after starts further.

Day one isn't magic — it's the shipped AI Vendor Trust Backbone plus everything you've already written. But every answer you confirm today is ready for every sheet that follows, so questions that cost hours now cost nothing later.

Sheet 1

You confirm everything

You don't start from zero: the Backbone covers the ~200 questions buyers ask AI vendors, and Matterlyt ingests what you've already written. Templates stay marked unverified until you confirm them — and every answer you confirm is captured for good.

Sheet 3

Most of the sheet is already covered

High-confidence answers come back ready to send. Matterlyt flags what's stale, inconsistent, or missing — you review the flags and touch only what's genuinely new.

Sheet 10+

Your team is only asked what's new

The recurring bulk of every sheet is answered from knowledge you've already confirmed. Nobody on your team is asked the same question twice — and the knowledge stays with the company, even as the team changes.

Why this compounds into a moat

Any competitor who comes for your account starts with an empty knowledge base. You won't.

Every answer confirmed, every edge case resolved is permanently captured — grounded in your actual architecture, sub-processors, and policies. That institutional memory is yours, and the longer you run Matterlyt, the harder it is to close.

Sheet 1

is when it starts

FAQ

Common Questions

What is Matterlyt?
Matterlyt answers the security and AI-governance questionnaires that stand between companies in the AI stack and their enterprise deals. At the core is a due-diligence knowledge base that starts pre-populated with the AI Vendor Trust Backbone, ingests what you've already written, and compounds with every questionnaire you process — so every answer you send is cited, confidence-flagged, and consistent across buyers.
What do I get on day one, with an empty knowledge base?
You don't start empty. Matterlyt ships with the AI Vendor Trust Backbone: a versioned library of the ~200 questions enterprise buyers actually ask AI vendors — the SIG/CAIQ security core plus AI-governance annexes — each with an editable, opinionated template answer and an evidence checklist. Backbone answers are marked "unverified — confirm before sending" until you've confirmed them for your company. Add what you've already written — past questionnaires, trust-center pages, policies — and coverage compounds from there.
What's in the AI-governance annex?
The questions enterprise buyers attach to security reviews of AI vendors today: model provenance, training-data rights, which LLM sub-processors touch customer data, prompt and output retention, evaluation and red-teaming practices, and ISO 42001 readiness. Generic questionnaire libraries were written for classic SaaS vendors — the annex covers exactly what they leave out.
How is this different from SafeBase, Conveyor, or a trust center?
Those tools were built for companies with a compliance team and a generic SaaS answer library. Matterlyt is built for companies in the AI stack where the person answering is you: it ships pre-loaded with the AI-vendor question set — security core plus AI-governance annexes — and actually fills in the sheet, rather than hosting documents for buyers to self-serve. A trust center can sit alongside Matterlyt; it doesn't answer the questionnaire.
What if the AI gets an answer wrong?
Every answer cites the source it came from and carries a confidence flag. High-confidence answers come back ready to send; anything uncertain, stale, or contradictory is flagged for you to confirm — and Backbone templates stay marked unverified until you've confirmed them. Matterlyt drafts, cites, and flags; you approve. Nothing goes out that you haven't put your name on.
Who is Matterlyt for?
Companies in the AI stack — whether you ship models, AI products, or the infrastructure they run on: AI infrastructure, AI dev tools, AI applications, and the data and vector infrastructure underneath them — roughly 10 to 100 people, selling into enterprises. In practice it's for whoever answers the questionnaires today: usually the CTO or a technical founder, sometimes with an engineer or two pulled in for specifics.
How long does it take to get started?
Less than a day. The AI Vendor Trust Backbone is there from first login, and connecting what you've already written — past answered questionnaires, trust-center pages, policies — is an upload, not a project. If you have prior answered sheets, importing them collapses the ramp: the questions you've answered before are covered before your first new questionnaire arrives.
Is my data private?
Yes. Your documents and due-diligence knowledge base are only used to answer questionnaires within your Matterlyt workspace. Your data is never used to train AI models and never shared with other customers.

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