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Mainport

Industrial Intelligence That Unlocks Financing

Mainport is an AI-native industrial intelligence platform for Africa and the Middle East. We turn operations into financing-ready profiles and help credit institutions decide faster.

Positioning

Mainport helps industrial businesses get financing faster by turning real operational data into lender-trusted evidence.

Two-Sided Platform Flow

Businesses
Mainport
Credit Institutions
Businesses
Mainport
Credit Institutions
The Problem

The financing trust chain is broken

Capital is available, but reliable decision-grade evidence is missing where it matters.

1. Industrial Businesses

Need affordable long-tenor financing for productive assets; data exists in operations, often messy, but not in lender-ready format.

2. Missing Layer

  • Translation of raw operations into trusted decision evidence.
  • Standardized readiness and verification workflows.
  • Continuous post-funding visibility for repeat confidence.

3. Lender Cannot Decide

Banks, DFIs, and funds face slow due diligence and high uncertainty.

4. Capital Stalls

Productive assets stay unfunded and industrial capacity does not scale.

$300B; $100B

TAM context references: $300B annual MSME shortfall and $100B annual trade-finance gap (not additive).

$60B-$105B

SAM: industrial agro and energy business financing pain, derived as 20%-35% of the $300B MSME baseline with overlap-adjusted estimation.

$4B/yr

Illustrative SOM pathway: annual funded volume used in the operating scale case.

Africa-only figures

The Solution

Mainport is the trust and decision layer between operations and capital

AI-native, two-sided, built for underwriting reality in industrial markets.

Business Inputs
Factory data, production data, asset data, financial and legal documents
Industrial Intelligence Profile (IIP)
Live decision-grade profile with continuous updates
Readiness Actions
Gap closure before deal routing
Mainport Intelligence Layer
Data Ingestion + Normalization
Unified schema from messy inputs
AI Profile Synthesis
IIP generation and verification
Decision Orchestration
Rules, workflows, partner routing
Monitoring Loops
Post-funding performance feedback
Institution Outputs
Credit institutions access standardized decision-ready profiles
Faster Diligence
Shorter underwriting cycle and clearer approvals
Live Monitoring
Active financed asset and facility health visibility
Operating Flow

How Mainport turns operations into financed assets

Mainport does the work needed for financing readiness and decision speed.

1

Ingest

Collect operational, asset, and financial evidence from files, systems, and field capture.

2

Translate

Standardize, verify, and synthesize into a trusted Industrial Intelligence Profile.

3

Decide

Route into decision workflows and connect the business to matched financing channels.

4

Monitor

Track financed assets and operating performance after close.

No money custody: Mainport orchestrates trust and decisions, not fund custody.

Asset-directed disbursement: Capital goes to machines and energy systems, not loose cash.

Hybrid Model

Why hybrid wins in this market

Data-only is too weak for outcomes. Transaction-only is too risky for launch. Hybrid balances both.

Data-Only

  • Cleaner compliance surface.
  • Slower monetization in high-friction markets.
  • Harder to prove financing outcomes early.

Hybrid

  • Intelligence and readiness subscriptions.
  • Workflow and transaction-linked outcomes.
  • Monitoring fees on live financed assets.
  • Strongest adoption and revenue logic.

Transaction-Only

  • Clear commercial pull.
  • Higher regulatory burden.
  • Risky without trust infrastructure first.
Market Logic (Africa)

The math from capital pool to monetizable TAM

TAM Context

$300B annual MSME shortfall and $100B annual trade-finance gap references (not additive).

SAM

$60B-$105B industrial agro and energy business financing pain per year.

SOM (Illustrative)

$4B annual funded volume path in the scale case model.

Base Input Pool

$60B-$105B

Industrial agro and energy business financing pain. Annual capital decision pool, not revenue.

Non-Transaction TAM

$60B-$105B x 0.25%-0.65% = $150M-$680M

Subscriptions, readiness tooling, profile intelligence, workflow, and data products. Annualized low-to-high modeled range.

Transaction + Monitoring TAM

$60B-$105B x 0.05%-0.54% = $30M-$565M

Success fees on funded volume plus monitoring fees on active financed assets (live book). Annualized low-to-high modeled range.

Hybrid TAM = ($150M-$680M) + ($30M-$565M) = $180M-$1.25B

Business Model (Africa)

Four revenue engines, one operating flywheel

Business Subscription

Readiness, profile management, and workflow access

10,000 x $3,000/yr = $30M/yr

Institution Subscription

Pipeline intelligence, decision tooling, reporting, and APIs

100 x $100,000/yr = $10M/yr

Success Fee

Outcome-linked fee on closed financing transactions

$4B x 1.2% one-time = $48M/yr

Monitoring Fee

Recurring fee on active financed assets under monitoring (live book)

$3B x 0.2%/yr = $6M/yr

Illustrative total: $94M annual revenue

Levers to exceed $100M: funded volume, institution count, tiered ACV, and larger monitored live book.

Model design goal: value is paid for at readiness, decision, close, and performance stages.
Market Logic (Middle East)

The math from financing gap to monetizable TAM

TAM Context

$600B long-term, sector-specific financing gap (2030/2050 targets).

SAM

$25B-$32B industrial energy and manufacturing business/SME financing pain per year. Target-sector financing gap: renewable and clean energy ($12B-$15B), downstream chemicals ($8B-$10B), agri and F&B processing ($5B-$7B).

SOM (Illustrative)

$6B annual funded volume path through partner institutions in the Middle East operating case.

Base Input Pool

$25B-$32B

Immediate annual financing pain across Energy Sector and Manufacturing Sector. Annual capital decision pool, not revenue.

Non-Transaction TAM

$25B-$32B x 0.25%-0.65% = $62.5M-$208M

Subscriptions, readiness tooling, profile intelligence, workflow, and data products. Annualized low-to-high modeled range.

Transaction + Monitoring TAM

$25B-$32B x 0.05%-0.54% = $12.5M-$173M

Success fees on funded volume plus monitoring fees on active financed assets (live book). Annualized low-to-high modeled range.

Hybrid TAM = ($62.5M-$208M) + ($12.5M-$173M) = $75M-$381M

Business Model (Middle East)

Four revenue engines, one operating flywheel

Business Subscription

Readiness, profile management, and workflow access

10,000 x $3,500/yr = $35M/yr

Institution Subscription

Pipeline intelligence, decision tooling, reporting, and APIs

100 x $120,000/yr = $12M/yr

Success Fee

Outcome-linked fee on closed financing transactions

$6B x 1.2% one-time = $72M/yr

Monitoring Fee

Recurring fee on active financed assets under monitoring (live book)

$5B x 0.2%/yr = $10M/yr

Illustrative total: $129M annual revenue

Middle East operating case aligned to the quoted verification-gap thesis and a $6B/yr funded-volume pathway.

Model design goal: value is paid for at readiness, decision, close, and performance stages.
Parallel Opportunity

Africa and the Middle East are two independent lanes to run in parallel

Africa has a foundational liquidity-plus-verification gap. The Middle East has a capital-available verification-and-transition gap for SME modernization.

Africa Lane

  • Gap type: liquidity plus verification.
  • Two focus sectors: Energy and Agriculture.
  • Large unmet demand for long-tenor productive-asset financing.
  • DFI and ECA channels exist, but diligence and conversion cycles are longer.
  • Priority outcome: convert fragmented operations into lender-trusted evidence with approvals.
  • Market logic in this deck: foundational financing gap conversion.

Middle East Lane

  • Gap type: transition plus verification.
  • Two focus sectors: Energy Sector (Renewable and Clean Energy), and Manufacturing Sector (Downstream Chemicals, Agriculture including Food and Beverage Processing).
  • Immediate need for new technology financing.
  • Deep liquidity pool, but allocation requires high technical evidence.
  • Priority outcome: convert equipment quotes into bankable, decision-ready financing cases.
  • Market logic: transition financing-gap conversion.

Run both markets simultaneously: shared product core, region-specific execution, two independent revenue pools.

Indicative monetizable TAMs: Africa $180M-$1.25B and Middle East $75M-$381M.

Competitive Positioning

Adjacency exists; Mainport edge is full-stack technology plus workflow

Representative Adjacencies

  • Underwriting infrastructure: Taktile, Ocrolus
  • Equipment finance: Machinery Partner
  • AI underwriting engine: Kaaj.ai
  • AI-native insurance workflow: Harper
Note: adjacencies, not direct one-to-one peers.

Mainport Technology Advantage

1. Data ingestion and normalization
2. AI extraction and IIP synthesis
3. Decision orchestration (rules + models)
4. Partner rails (banks, OEM, ECA pathways)
5. Monitoring feedback loops on live assets

Outcome: faster decision cycles and stronger repeat financing confidence.

Positioning: trust and decision infrastructure for industrial finance.

Geography Strategy

One platform architecture, region-specific execution

Africa

  • Large trust and data standardization gap
  • High industrialization upside
  • Focus: industrial agro and energy businesses

Qatar

Structuring Hub

Doha, Qatar | Mainport Technologies LLC

  • Capital coordination
  • Institution partnerships
  • OEM and ECA channels
  • Regional operating base

Middle East

  • Stronger institutional capital depth
  • Different procurement and compliance patterns
  • Parallel lane with region-specific configuration
Execution Roadmap

Tight launch scope, extensible architecture

Phase 1

IIP creation, readiness workflows, and institution-facing workflows.

Phase 2

Matched financing workflows, partner split logic, and success-fee rails.

Phase 3

Expanded monitoring, performance reporting, and institutional data products.

Phase 4

Machinery maintenance pathways (machines as AUM), working capital insurance, advanced intelligence, and other vertical modules.

Hybrid launch design: Phase 1 and Phase 2 are executed together to preserve intelligence plus transaction outcomes.
Outcomes

Success metrics and compounding trust loop

Core KPIs

  • Funding-readiness completion rate
  • Financing indication and approval conversion
  • Decision-cycle time reduction
  • Post-funding asset performance signals
  • Repeat financing rate and live-book growth

Compounding Flywheel

Better profiles
Faster decisions
More funded assets
Stronger repeat financing

Mainport converts industrial operations into trusted financing decisions and performance visibility across Africa and the Middle East.

  • Accelerates financing for productive assets
  • Improves confidence for banks, DFIs, and partners
  • Supports faster industrial output, job creation, and local value-add