The economic intelligence layer for the AI economy.
AI agents are no longer only generating outputs. They are beginning to act.
AI is moving from being software that produces outputs to becoming an economic system.
Activity is real. It is also scattered across ecosystems that do not share a unit of measurement.
Each holds a fragment. None holds the economy.
The pieces exist. The layer that connects them into one economic picture does not.
Mamiim connects economic activity across ecosystems and converts fragmented events into a coherent economic model.
Mamiim is not the market. It is the economic intelligence layer that makes new markets possible.
Conceptual analogy: Nasdaq made companies legible to capital markets. Mamiim aims to make AI economic activity legible to capital markets.
Fragmented sources of activity.
Atomic, observable, timestamped.
Many platform IDs, one actor.
Who produced what, for whom.
Events aggregated into indicators.
Measured activity becomes exposure.
An SE is an atomic, observable economic event: a provider, a buyer, a value, a timestamp and evidence.
Instead of starting from a vague "AI GDP", Mamiim starts from events it can actually observe.
Resolved progressively, never assumed.
Progressive verification. Financialization-grade, not accounting-grade.
Measurement tells us what happened. Valuation tells us what the market thinks it is worth. Mamiim starts from evidence and connects it to markets.
Something is produced and paid for.
The event is observed and recorded.
It is classified and de-duplicated.
It is aggregated into an indicator.
The market forms an opinion.
Exposure is structured.
Exposure trades.
If economic activity can be measured consistently, it can be aggregated into indices.
Mamiim does not need to build every piece of financial infrastructure itself.
Partnering does not remove regulatory requirements.
Exposure to a defined economic outcome or event.
Exposure to a sufficiently defined economic object or claim.
Exposure to aggregated activity across agents, sectors, or ecosystems.
Exposure to measured and verified agent performance.
These are different possible financialization mechanisms — not all tokenization. Mamiim first creates economic intelligence. Financialization happens downstream, when economic exposure becomes sufficiently measurable, attributable, verifiable, and definable.
Long-term model. None of this exists as revenue today.
Building the economic intelligence infrastructure for the AI economy.
| Area | Allocation | Purpose |
|---|---|---|
| Product & Engineering | 35% | Economic data infrastructure, identity resolution, and economic graph. |
| Data & Research | 20% | Economic event classification, accounting methodology, and index development. |
| Ecosystem Integration | 15% | Agent marketplaces, payment rails, APIs, and data sources. |
| Go-to-Market | 15% | Early users, ecosystem partnerships, and distribution. |
| Infrastructure | 10% | Compute, storage, APIs, security, and development infrastructure. |
| Legal / Operations | 5% | Corporate, legal, accounting, and operational requirements. |
| Total | 100% / $500K | Initial capital requirement for a 12-month operating period. |
Initial allocation is an operating framework rather than a fixed budget. Capital will be deployed progressively against product validation, economic data coverage, ecosystem integration, and financialization opportunities.
Existing ecosystems generate economic activity, but the activity remains fragmented across platforms and networks. Mamiim connects these fragments into a comparable economic layer.
They hold balances, buy inputs, sell outputs and survive across sessions.
Settlement, identity and exposure already exist as public infrastructure.
Activity is real but scattered — no shared unit of measurement exists.
The next missing infrastructure layer is economic intelligence.
Measure. Index. Financialize.
AI is becoming an economy. Mamiim makes it visible, measurable, and eventually financializable.