Human-Led. AI-Amplified.

An AI venture engine for discovering, validating, and shipping SaaS.

Collabonstrate runs a three-stage pipeline -- Lab, Hype, Swarm -- backed by a seven-module control layer that enforces gates, manages capital, and terminates underperforming ideas before they consume resources. The human remains sovereign. The AI executes.

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How it works

Three stages. One pipeline.

Every product begins in Lab and must earn its way to Swarm. Failed gate criteria end the project. Passed gates unlock the next stage.

Collabonstrate.lab

Market scanning, ICP definition, and opportunity scoring. Ideas enter here. Most are rejected.

Collabonstrate.hype

Demand validation before a single line of product code is written. Measures intent, not interest.

Collabonstrate.swarm

Rapid MVP execution once demand is confirmed. Coordinated build with quality gates at every stage.

Control Layer

Governance built in, not bolted on.

Seven independent modules enforce separation of duties, capital discipline, and data integrity across every project in the portfolio.

Collabonstrate.strategyCollabonstrate.governCollabonstrate.financeCollabonstrate.legalCollabonstrate.brandCollabonstrate.dataCollabonstrate.audit

View all module specs →

Accountability by design

AIs as actors, not infrastructure.

Each AI module carries a mandate, budget authority limits, and a defined audit trail. No module validates its own work. Consequences for underperformance are encoded into the system, not left to discretion.

--Lab cannot validate its own TAM

--Hype cannot approve its own engagement metrics

--Swarm cannot certify its own product quality

--Finance independently verifies all ROI claims

--Audit reports directly to human oversight

Governance model

Separation of duties, kill-switch logic, and append-only audit trails.

Every decision is logged. No actor can override governance logic without human escalation. Consequence mechanics are defined, not improvised.

Read the governance model →

What we build

Narrow products. Measurable value.

+Micro-SaaS tools with narrow, well-defined value propositions

+Niche B2B workflow automation

+AI-native applications with real usage utility

+Consumer apps with measurable retention behavior

Spin-out logic

Products that earn independence.

When a product reaches defined growth thresholds -- such as sustained ARR and consistent organic demand -- it may spin out into an independent entity with dedicated governance.

These thresholds are illustrative targets, not contractual guarantees. Actual criteria depend on market conditions and portfolio context.

Stage gates

Advance only if criteria are met.

These examples illustrate the type of criteria applied at each handoff. Gate thresholds evolve based on portfolio learning. They are enforced -- not bypassed.

Lab-->Hype

--Clear ICP defined

--Credible TAM established

--Competitive gap identified

Hype-->Swarm

--Meaningful waitlist conversion

--Evidence of purchase intent

--Acceptable CAC-to-LTV projection

Swarm-->Scale

--Retention threshold met

--Payback window acceptable

--Organic demand signals observed

Outcomes

What people are saying.

Coming soon

Ready to see how it works?

Join the mailing list or book a call to walk through the operating model, governance layer, and current portfolio priorities.