Structure
AI ingests the issuer record and identifies the claims, evidence, assumptions, risks, dependencies, contradictions, and unknowns inside it.
AI diligence infrastructure
AI that understands the investment—not just the documents.
Craft Certified turns the complete issuer record into a governed investment knowledge system. It maps claims to evidence, exposes risk and uncertainty, guides each investor through a personalized diligence journey, verifies material answers, and creates an auditable record of how conviction develops.
The conversation is the interface. The decision system is the product.
I
INVESTOR QUESTION
What has to be true for this thesis to work?
ANSWER STATESUPPORTED · OPEN DEPENDENCY
The investment thesis depends on three conditions:
01
Technical feasibilitySupported by architecture and current build evidence
VERIFIED02
Completion on the stated timelineRoadmap exists; delivery remains an execution dependency
PARTIAL03
Buyer value beyond general-purpose AIDifferentiation thesis is documented but not yet market-validated
OPEN8 claims checked5 sources used2 follow-ups reserved
Challenge a condition or inspect its evidence...
72%evidence coverage
2open dependencies
THE CATEGORY
Decision-process infrastructure
for private-market diligence.
A deck tells one story. A data room stores the underlying files. A chatbot finds passages. Craft Certified connects all three into a controlled process for reaching, testing, and documenting an investment decision.
HOW THE AI IS USED
AI is the orchestration layer—not the product label.
Craft Certified does not add a chat interface to a folder of files. It coordinates six distinct jobs required to turn source material into a defensible investment decision.
Model
It converts fragmented materials into an explicit, governed representation of the investment opportunity—not merely a searchable document library.
Guide
It determines what this investor needs to understand, carries context forward, and adapts the depth and sequence of the diligence journey.
Answer
It constructs responsive explanations within defined evidence, disclosure, permission, and confidence boundaries.
Verify
It checks material answers against the claim ledger, source record, risk state, and unresolved dependencies before presenting them.
Learn
It records what the investor examined, where conviction weakened or strengthened, and what still requires human judgment.
THE PROBLEM
More information does not create better diligence.
The existing process fragments understanding across pitch decks, data rooms, meetings, emails, notes, and individual memory. The investor has to reconstruct the opportunity from scratch. The issuer has to repeat the same explanation for every investor.
Linear by design
It presents management's preferred path, not the investor's actual questions.
Evidence without a model
Documents accumulate, but the relationships among claims, proof, risk, and uncertainty remain implicit.
Insight that disappears
The best explanations are repeated live, inconsistently, and rarely become reusable institutional knowledge.
Answers without a process
Retrieval can find relevant text; it does not know what the investor must understand or whether a decision is defensible.
THE CRAFT CERTIFIED SYSTEM
It does not merely answer questions. It builds and governs the path to conviction.
01
SOURCE LAYER
The company record
DeckData roomFinancialsInterviewsTechnicalDisclosures
↓
02
KNOWLEDGE MODEL
The opportunity, made explicit
ClaimsEvidenceRisksDependenciesUnknowns
↓
03
INVESTOR JOURNEY
The right understanding for this investor
Role + thesisQuestion sequenceSkepticism + depthAnswer boundaries
↓
04
VERIFIED OUTPUTS
Answers that leave a record
Evidence-linked answer Risk + confidence state Audit trail Human follow-up Engagement signal
WHAT GETS BUILT
A working diligence asset—not another piece of collateral.
Each implementation leaves the issuer, investor, advisor, or platform with durable infrastructure that becomes more useful as diligence unfolds.
Issuer knowledge model
A structured representation of the thesis: claims, evidence, assumptions, risks, dependencies, contradictions, and unknowns.
Conversational investor room
A private environment where each investor can follow their own questions instead of being forced through a scripted pitch.
Investor-journey briefing
A portable briefing that controls orientation, depth, skepticism, sequencing, and the boundaries of what the system may claim.
Claim + evidence ledger
A living record of every material assertion, the evidence that supports it, and the current strength of that support.
Risk + unknowns ledger
Explicit treatment of execution risks, unresolved questions, contradictions, missing proof, and assumptions that still have to hold.
Diligence audit trail
A record of the questions asked, answers delivered, sources used, follow-ups triggered, and issues reserved for management.
Engagement intelligence
A view into what investors examine, where they hesitate, what changes conviction, and which opportunities sustain serious diligence.
Human-ready handoff
An organized package of unresolved issues, targeted follow-ups, FAQ updates, and relevant data-room extracts for the next conversation.
WHY THIS IS NOT RAG
A document chatbot optimizes retrieval. Craft Certified optimizes the decision process.
Both may use language models and source citations. The object being built—and the job it performs—are fundamentally different.
DIMENSIONDOCUMENT CHATBOTCRAFT CERTIFIED
Core objectA library of document chunksA governed model of the opportunity
Primary jobRetrieve a plausible answerAdvance a defensible investment decision
Question handlingTreat each prompt in isolationUnderstand where the investor is in the diligence journey
EvidenceAttach relevant citationsMap claims to evidence, strength, boundaries, and open dependencies
RiskMention risk when askedContinuously expose risks, contradictions, assumptions, and unknowns
OutputA chat transcriptAn auditable diligence record and actionable engagement signal
THE INVESTOR EXPERIENCE
Diligence becomes a journey, not a search box.
The system meets the investor at the beginning, adapts to the direction of inquiry, and carries context forward until the next human decision.
Orient
Establish what the company is, why it may matter, and what the investor must understand before going deeper.
Explore
Let the investor choose the path—market, product, architecture, economics, team, competition, risk, or exit logic.
Challenge
Pressure-test claims, test opposing explanations, surface contradictions, and distinguish management belief from verified fact.
Verify
Trace material answers to supporting evidence, show confidence and coverage, and say plainly when the record is insufficient.
Handoff
Package the remaining questions for management so human time is spent on judgment, not repetitive information retrieval.
ONE SYSTEM. THREE ECONOMIC USERS.
Useful before, during, and after the investor meeting.
Scale the best version of the story
Prepare once, answer consistently, expose gaps before investors do, and reserve management time for the questions that actually require judgment.
Get to the real issue faster
Explore independently, pressure-test the thesis, verify material claims, and arrive at management conversations with a sharper decision agenda.
Turn diligence into market signal
Standardize issuer readiness and use the depth, direction, and persistence of investor engagement to help surface stronger opportunities.
PRIVATE BRIEFING
Do not pitch Craft Certified.
Experience it.
The best way to understand the product is to use it against a real opportunity. Request a private briefing for an issuer, fund, advisor, or investment platform.
Contact Benjamin