SPAC AI

The company that takes itself public.

The operating system of the going-public process. We are building it to take CodeZen to NASDAQ by May 2027, and as we use it, it becomes the demonstrable proof of the thesis we are selling to the market.

NASDAQclosing 31 May 2027
10 months5 parallel workstreams
Block 1in production from 20 September 2026
v0.131 August 2026
1 September 2026 call · first operational version

Restricted access to the SPAC AI console

Version 0.1 is designed for the call as clickable proof: it does not show a generic demo, it shows the deal, its evidence ledger and the three core integrations already exposed in the UX.

Real platform access
https://czsp-10230813462700.app.codezen.ai/console
Access sits behind the application gate: the page requires a dedicated credential before showing any deal information. For the call, open the link and paste the demo credential shown below.
Demo credential
spacai_693d2ddfebadd81e13f55200db931900ffdc57913462178261eac3c00ce4e9df
Demo credential dedicated to this call, valid until 8 September 2026: paste it once into the platform gate. It is separate from operating credentials and can be revoked right after the call without affecting any other access.

CZDRData Room

Dedicated view with listed documents, deal-process linkage and hash integrity checks.

BPLBusiness Plan

Snapshot & compliance view: frozen projections, author, date, fingerprint and reasonableness gate.

OUTROutreach

Relationship view with outbox, recipients, channels and compliance gate before every external touchpoint.

Prototype for the call

Not only a deck: a first usable console

The screen below is the version already online: it shows the product as a living system, not as a promise. Access remains restricted, but the test path is immediate: click the button, enter the restricted password, enter the console.

Preview of the SPAC AI console with deal, milestones, data room and evidence ledger

Deal identity

Already usable in read mode: company, transaction perimeter, parties involved and overall process state.

Data room

Already visible as a working index: documents, versions, evidence and linkage to operating milestones.

Business Plan

Already readable as a snapshot: frozen projections, date, author, fingerprint and compliance rationale.

Compliance

Already ready as control logic: assessments, evidence ledger and gate before every external release.

The starting point

A real process, under real oversight

We are not designing a demo. The system is born inside a live transaction with contractual dates, professional counterparties and legal consequences.

$450M
valuation base at closing, earn-out up to 900
$70M
PIPE between January and March 2027
$19.2M
total cost of the process
$2.3M
to be funded before a single dollar comes in
The question that today has no automatic answer: if the auditor delivers on 20 January instead of 16 December, what slips, by how much, who must be told today and which contractual clause is triggered. Today the answer comes from a spreadsheet and a weekly call.
The narrative

The first listing executed by AI agents

A company built on agents takes itself public using its own agents. It is a powerful positioning, and precisely for that reason we treat it as a project constraint, not as a marketing claim.

How it must not be said

«A company of AI agents takes itself public with no human involvement whatsoever.»

In a transaction subject to SEC oversight, an unverifiable claim is not a reputational risk: it is a litigation risk. And the first party to test it is the institutional investor in diligence.

How it must be said, and proven

«Process execution is agentic, restricted decisions remain human, and the system proves both.»

Stronger, not weaker: because it is the only version that survives due diligence, and because the share of activities executed by agents becomes a number read from a ledger, not an estimate told in a story.

req 1Attribution on every action

Every event carries a typed actor: agent, human, or agent with human approval. No anonymous writes.

req 2Evidence ledger

Append-only and immutable. It serves three purposes: the narrative, PIPE diligence, and counsel on the S-4.

req 3Human boundary in the code

Signatures, SEC certifications, approval of financial statements, price and structure: a blocking gate, not a rule written in a document.

The product

Not a data room. A process engine

A data room answers the question «where is the document». SPAC AI answers the question «what happens next, to whom, and with what consequence». The first is an archive question, the second is a process question.

Deadlines

A milestone graph with typed dependencies and automatic recalculation of the critical path.

Documents

Versioning, confidentiality perimeter per external party, marking of material non-public information.

People

Every obligation has an owner with a first and last name. An obligation without a name is a configuration defect.

Evidence

What was done, when, by whom — agent or human. The ledger that supports the narrative and diligence.

The system is built while the listing process moves forward. That is exactly the demonstration we want to be able to tell.
Architecture

Four pieces already alive, not four to invent

SPAC AI does not start from zero. Four CodeZen products already in operation are adapted and put in series. That is why Block 1 is a matter of weeks and not years.

CZDRCodeZen Data Room

Becomes the document layer. It already has folders, versions, tags, confidentiality and checksums. To be added: per-external-party perimeter, MNPI marking, and the link between a document and a process node — because here a document does not just sit in a folder, it sits on a deadline.

OUTROutreach Engine

Becomes the relationship engine for the three capital flows: pre-seed, PIPE, deal counterparties. To be added: segmentation by counterparty type and the compliance gate, because from the LOI onwards a communication to investors is not a commercial campaign.

BPLLiving Business Plan

Thirty sheets where cells are computed from real platform data — users, MAU, MRR and ARR, costs, funnel, P&L — and assumptions are governed manually with author and date. It is the natural source of projections for pre-seed, PIPE and audit.

CZBACodeZen Buddies

The avatars for operational update calls and Q&A with vendors. It is the least mature of the four and does not belong to Block 1: it enters as an optional interface on a process that must already work without it.

The piece nobody has

Projections with a date and a recipient

In diligence, and even more so in an S-4 filing, the question is not what the projections are. It is which projections existed on the day you delivered them to that investor, under which assumptions, and who had set them.

Immutable snapshot

Assumptions with author and date, metrics computed at delivery time, model version. Frozen and signed into the evidence ledger.

Link to the recipient

Every external delivery records which version went out and to whom. No material containing projections leaves without a snapshot attached.

Readable difference

Why the number changed between October and January: cell, value before, value after, author. One line, not a reconstruction.

This is the requirement that turns reasonable basis from a statement into evidence. And it sits inside Block 1 for a calendar reason: the first diligence pack goes out on 20 September, and from then on every delivery is either tracked or lost forever — the delivered version cannot be reconstructed after the fact.
Agentic workflows

Nine agents, each with a guardrail

Every agent has a trigger, an input, an output and a limit written into the code. Listed in the order in which they are built.

AgentTrigger and outputGuardrail
Critical pathAny status or date change: recalculation, deviation against closing, milestones at riskNever moves target dates on its own: it proposes
Obligation chasingObligation coming due: written request to the party on its own channel, with the downstream dependencyGoes through the compliance gate before going out
Document ingestionNew document: extraction of obligations, dates and amounts, with document hierarchy appliedThe most recent negotiated document always prevails
ProjectionsEvery external delivery containing forward-looking numbers: frozen snapshot, attachedNever touches assumptions, it photographs them
DiligenceCounterparty request: routing to the owner and trackingNever answers on the merits in place of the owner
Contractual obligationsMonitoring of tails, exclusivities, conditions: clauses about to triggerRead-only, never writes on the plan
Process cashDaily: cash projection through closing and alert on the breaking pointNo payment decisions, evidence only
ComplianceEvery outbound action to the outside world: intermediary, MNPI, projections, recipientFail-close: when in doubt it blocks and asks
Narrative and ledgerWeekly: how many actions executed by agents, on which workstreams, with what human involvementOnly numbers read from the ledger, never estimates
Roadmap · technical

Block 1: narrow by design

The most concrete risk of this project is that building the tool takes attention away from the listing. The listing is made by the audit and by cash. So Block 1 serves the process, not the product roadmap.

Inside Block 1

Data model of the deal and the parties; milestone graph with typed dependencies and a recalculation engine; obligations with owner and due date; data room with per-party perimeter and MNPI marking; append-only evidence ledger with attribution; tracked external read access; immutable Business Plan snapshots; the first four agents plus the projections agent; the weekly status cycle.

Out, for now

Structured due diligence Q&A with response workflow; automated redaction and dynamic watermarking; advanced reporting for the advisor; autonomous call handling with avatars; multi-deal and multi-tenant for third-party clients.

All of them make sense. None of them is needed for 27 September.

Block 1 exit criterion: the system holds the real transaction as the single source of truth of the process, with at least three external parties working inside it, and a critical path that updates itself.
Roadmap · process

The system follows the deal calendar

Not a product plan with dates of its own: every release is tied to a listing milestone, and serves it.

September 2026

Milestones, obligations, data room, ledger

The critical path is live and self-updating. First diligence pack on 20 September with the projections snapshot attached. LOI on 27 September.

October — December 2026

Audit and cash under watch

Tracking of auditor requests and monitoring of the margin on the critical path. Early alert on the cash breaking point, which already has a date: December 2026.

January — March 2027

S-4, PIPE, announcement

Every material containing projections goes out with a snapshot and a documented reasonableness check. PIPE outreach inside the regulated perimeter.

April — May 2027

Closing, and the ledger as the story

The numbers of the narrative read from the ledger: how many actions executed by agents, on which workstreams, at what rate of human intervention.

Roadmap · business

Three returns, on different horizons

todayInternal

Ten months, five workstreams, eight counterparties, a thin margin. Running it well is worth weeks of calendar — and here a week has a price, because it hits process cash and triggers contractual clauses.

2027Narrative

The system is the proof of the thesis. We are not saying that AI can run complex processes: we are doing it on a transaction with regulatory oversight, professional counterparties and real consequences.

postProduct

If it holds on our own listing it becomes a sellable vertical. A small market in number of transactions, with high willingness to spend: on a nineteen-million process budget, the cost of the tool is irrelevant.

Positioning. We do not compete with data rooms, we integrate on top of them. The uncovered space is the process seen from the issuer's side: existing tools serve the advisor who follows many transactions, not the company facing one single decisive deal. The hardest differentiator to replicate is the living Business Plan — no data room on the market links projections to the operating data that generates them, nor preserves the version delivered to each counterparty.

auto
critical path updated with no manual intervention
%
obligations delivered by the due date
%
process actions executed by agents
100%
deliveries with projections covered by a snapshot — the only acceptable value
Closing

What we need from the call

A company of agents taking itself public using its own agents. With the ledger that proves it, line by line.