mAIvn is a private AI orchestration platform — a control plane that coordinates agents, tools, and governed context so multi-step operational workflows complete reliably in production, with full event traces and policy-aware execution.

How is mAIvn different from a chatbot or prompt-only AI tool?

Chatbots respond. mAIvn finishes work. The platform plans the workflow, coordinates dependency-aware agent execution, enforces a private context boundary, and streams a complete event trace per session — instead of returning a single model response.

Who is mAIvn built for?

Product, engineering, and operations teams running AI-enabled workflows that need privacy, governance, typed agent handoffs, and operator-visible audit trails — not prompt-only prototypes.

Does mAIvn protect private data?

Yes. mAIvn is designed with a fail-closed private context boundary: policy checks, scoped access, and data minimization run before any agent acts on sensitive data. Security is built into the workflow, not layered on afterward.

How do I get access to mAIvn?

Join the developer waitlist at developer.maivn.io/waitlist for priority access at launch, with opt-in to the private beta program.

Developer Portal

Investor BriefingBeta is live

Private AI orchestration for teams that need execution, not theater.

mAIvn combines fail-closed privacy, deterministic workflow orchestration, and operator visibility in a platform built for high-trust AI work.

Approved investors can review the full round narrative, operating model, and diligence material inside the authenticated portal.

SDK + Server liveDeveloper Portal liveBeta open

THIS MATERIAL DOES NOT CONSTITUTE AN OFFER TO SELL OR A SOLICITATION OF AN OFFER TO BUY ANY SECURITY AND IS INTENDED SOLELY FOR THE NAMED RECIPIENT.

Forward-Looking Statements: All projections, forecasts, and financial estimates are illustrative only and do not constitute a guarantee of future performance. Actual results may differ materially. Investment involves risk, including possible loss of principal. Consult your own financial and legal advisors before investing. mAIvn, LLC makes no warranties regarding projected returns.

Model

Private

Round

In progress

Moat

Fail-closed privacy

Invite-only access with NDA checkpoint
Confidential model, market, and diligence materials
Built for accredited investors and approved diligence partners

Inside the deck7 min scan

A concise diligence narrative, not a bloated pitch.

The portal is structured for quick signal: market timing, architecture moat, operating model, and how the raise translates into milestone velocity.

Where we are right now

SDK + Server

Live

Decorator SDK, reactive execution, and PrivateDataShield in production.

Developer Portal

Live

Sign-up, onboarding, IAM, billing, and analytics deployed at developer.maivn.io.

Soft Beta

Open

First external developers onboarding with weekly release cadence.

Market Window

46.3% CAGR

AI agent infrastructure demand is accelerating quickly.

Raise Focus

Private

Round details are shared inside the portal after access approval.

Two-Track Product

SDK + No-Code

Developer SDK is live in beta. Visual no-code builder targeted to launch alongside SDK GA on the same runtime.

Conservative Case

Private Model

Detailed operating targets are available in the authenticated diligence materials.

Core Moat

PrivateDataShield

Fail-closed privacy is enforced at the final outbound boundary, not layered on later.

Builder TAM Lift

Operator + Citizen Dev

No-code beta opens distribution beyond engineers without forking the runtime, governance, or compliance story.

Access flow

Step 1

Invite

Personal link delivered

Step 2

NDA

Confidentiality acknowledged

Step 3

Portal

Diligence materials unlocked

Confidential investor materials remain restricted to specifically invited recipients and are not offered to the general public.

Why mAIvn

A platform built for the next phase of AI work.

Three architectural commitments that compound into a defensible moat as deployments grow.

Production First

Execution that does not fall apart

Deterministic orchestration and structured output reduce demo-ware risk.

Private by Default

A fail-closed data boundary

Sensitive context is governed before an agent can touch it.

Compounding Moat

Workflow memory that improves over time

Shared context and tool intelligence deepen with customer usage.

One Platform, Two Audiences

SDK + No-Code on the same runtime

Developers ship in Python today; operators ship visually next. Same orchestration, privacy, and billing - one TAM.

Platform Blueprint

The moat is architectural, not cosmetic.

Each layer is designed to reduce operational risk while improving deployability, governance, and long-term expansion potential.

Fail-closed privacy

Deterministic orchestration

Audit-ready visibility

PrivateDataShield

Fail-closed outbound privacy boundary

What it does

PrivateDataShield redacts or blocks outbound payloads before any agent runtime begins, keeping raw values protected by default.

Why investors care

Makes privacy and compliance part of the product architecture instead of a post-sale promise.

Signal

Known private values are redacted case-insensitively before agent runtimes receive payloads.

Theme: System (light)

Developer Portal

Investor BriefingBeta is live

Private AI orchestration for teams that need execution, not theater.

mAIvn combines fail-closed privacy, deterministic workflow orchestration, and operator visibility in a platform built for high-trust AI work.

Approved investors can review the full round narrative, operating model, and diligence material inside the authenticated portal.

SDK + Server liveDeveloper Portal liveBeta open

THIS MATERIAL DOES NOT CONSTITUTE AN OFFER TO SELL OR A SOLICITATION OF AN OFFER TO BUY ANY SECURITY AND IS INTENDED SOLELY FOR THE NAMED RECIPIENT.

Model

Private

Round

In progress

Moat

Fail-closed privacy

Invite-only access with NDA checkpoint
Confidential model, market, and diligence materials
Built for accredited investors and approved diligence partners

Inside the deck7 min scan

A concise diligence narrative, not a bloated pitch.

The portal is structured for quick signal: market timing, architecture moat, operating model, and how the raise translates into milestone velocity.

Where we are right now

SDK + Server

Live

Decorator SDK, reactive execution, and PrivateDataShield in production.

Developer Portal

Live

Sign-up, onboarding, IAM, billing, and analytics deployed at developer.maivn.io.

Soft Beta

Open

First external developers onboarding with weekly release cadence.

Market Window

46.3% CAGR

AI agent infrastructure demand is accelerating quickly.

Raise Focus

Private

Round details are shared inside the portal after access approval.

Two-Track Product

SDK + No-Code

Developer SDK is live in beta. Visual no-code builder targeted to launch alongside SDK GA on the same runtime.

Conservative Case

Private Model

Detailed operating targets are available in the authenticated diligence materials.

Core Moat

PrivateDataShield

Fail-closed privacy is enforced at the final outbound boundary, not layered on later.

Builder TAM Lift

Operator + Citizen Dev

No-code beta opens distribution beyond engineers without forking the runtime, governance, or compliance story.

Access flow

Step 1

Invite

Personal link delivered

Step 2

NDA

Confidentiality acknowledged

Step 3

Portal

Diligence materials unlocked

Confidential investor materials remain restricted to specifically invited recipients and are not offered to the general public.

Why mAIvn

A platform built for the next phase of AI work.

Three architectural commitments that compound into a defensible moat as deployments grow.

Production First

Execution that does not fall apart

Deterministic orchestration and structured output reduce demo-ware risk.

Private by Default

A fail-closed data boundary

Sensitive context is governed before an agent can touch it.

Compounding Moat

Workflow memory that improves over time

Shared context and tool intelligence deepen with customer usage.

One Platform, Two Audiences

SDK + No-Code on the same runtime

Developers ship in Python today; operators ship visually next. Same orchestration, privacy, and billing - one TAM.

Platform Blueprint

The moat is architectural, not cosmetic.

Each layer is designed to reduce operational risk while improving deployability, governance, and long-term expansion potential.

Fail-closed privacy

Deterministic orchestration

Audit-ready visibility

PrivateDataShield

Fail-closed outbound privacy boundary

What it does

PrivateDataShield redacts or blocks outbound payloads before any agent runtime begins, keeping raw values protected by default.

Why investors care

Makes privacy and compliance part of the product architecture instead of a post-sale promise.

Signal

Known private values are redacted case-insensitively before agent runtimes receive payloads.