Confidential | Investment Discussion Deck | KAMAS

KAMAS
Infrastructure-Led
Transport Platform

KAMAS is structured as an infrastructure-led platform for heavy transport electrification, port-adjacent logistics, controlled energy deployment, and future autonomous operations. The business case is not vehicle sales. The business case is cost optimization, contract-backed utilization, and recurring energy revenue.

Phase 1 strategy
Port-led
Commercial + heavy transport first, anchored by port and large fleet demand.
Core model
Asset-light
KAMAS monetizes energy and infrastructure, not truck CAPEX.
Client ROI
4–6 yrs
Under optimized KAMAS deployment; slower under unoptimized Panama conditions.
Hub energy stack
Grid + Solar + BESS
Required to make Panama economics competitive versus global benchmarks.

Panama reality check

This market only works with disciplined infrastructure design. Diesel is relatively competitive, grid energy is not cheap, and electrification alone does not create attractive returns.

Macro

Fuel dependency

Panama's logistics system remains exposed to imported fuel and cost volatility. That is the macro driver behind the opportunity.

Constraint

Electricity is not "cheap enough" by default

Without solar, battery storage, and controlled charging behavior, local EV economics are not automatically compelling.

Implication

Infrastructure beats adoption

The real opportunity is not pushing EV units into the market. It is building the operating layer that makes utilization economically rational.

Core insight: In Panama, electrification is not the business. Optimization is the business.

KAMAS operating model

KAMAS sits between fleet demand and infrastructure execution. The platform is designed to be contract-driven, asset-light on vehicles, and scalable by hub.

Energy layer

Grid access, solar integration, BESS, charging management, and demand control.

Infrastructure layer

Port-adjacent hubs, secure depot model, controlled access, and operational scheduling.

Platform layer

Fleet reporting, usage visibility, charging orchestration, and service coordination.

Commercial layer

Long-term B2B agreements with ports, large transporters, and distributors.

No truck ownership required Port partnership ready JV / anchor-client compatible Expandable into autonomous ops

Financial summary

Conservative projections based on contract-backed revenue, phased infrastructure deployment, and energy margin optimization.

Target IRR
22–28%
Conservative range. Assumes anchor-client contract structure and Hub 1 deployment in Year 1.
Break-even timeline
30–36 mo
Operational break-even from hub launch. Assumes 50+ units under contract by month 18.
Revenue model
Recurring
Energy margin + service contracts + infrastructure access fees. Not unit-sale dependent.
EBITDA trajectory

Projected EBITDA by year

Indicative. Based on phased hub rollout and contract ramp assumptions.

$2M $1.5M $1M $500K $0 Yr 1 Yr 2 Yr 3 Yr 4 -$120K $480K $1.1M $1.95M
Investment rationale

Why KAMAS is investable

  • Contract-first model — Revenue is anchored in B2B agreements before infrastructure is built, reducing demand risk.
  • Recurring energy margin — Energy arbitrage (grid + solar + BESS) generates margin per kWh independent of vehicle ownership.
  • Panama strategic position — Canal Zone logistics, digital free zones, and submarine cable access create unique infrastructure leverage.
  • Phased capital deployment — Hub-by-hub rollout limits exposure. Phase 1 validates economics before committing Phase 2 capex.
  • Exit optionality — Asset base (hubs, energy infrastructure, contracts) supports strategic sale or regional JV by Year 4–5.

Market visuals integrated into the narrative

These charts show why Panama is harder than global benchmarks, and why KAMAS closes the gap through infrastructure design.

Chart 1

ROI profile: Panama vs optimized vs global

Lower is better. Panama starts weaker. KAMAS optimization compresses the gap materially.

8y 6y 4y 2y Base Optimized Best case Panama base KAMAS optimized Global benchmark
Chart 2

Market adoption logic

Two simultaneous trends: local EV adoption grows, but heavy electrification is where revenue density becomes meaningful.

2024 2025 2026 2027+ General EV market Heavy transport value density

ROI by client type

The client proposition is not "buy electric." It is "reduce operating cost, improve predictability, and shift energy economics."

Client type Current pain KAMAS value proposition Indicative savings Indicative ROI Why it matters
Ports / port-adjacent operators High-energy freight activity, predictable routes, strategic need to modernize operations. Shared infrastructure, anchor-demand hub, reduced fuel exposure, strategic positioning. US$500K–$1M+ / year (50–100 units × $10K–15K per unit) ~2–3 years on shared infrastructure logic Strongest anchor-demand profile. Best Phase 1 entry point.
Large heavy transporters Diesel burn, maintenance burden, volatility per vehicle and per route. Lower cost per kilometer, lower maintenance complexity, managed charging environment. US$12K–20K / year per truck ~4–6 years optimized Creates recurring energy revenue and validates heavy segment economics.
Distributors / commercial fleets Urban delivery cost pressure, route inefficiency, fleet energy fragmentation. Depot charging, fleet operations layer, better schedule discipline, reduced maintenance. US$3.6K–4.8K / year per unit ~5–7 years depending on route density Good secondary layer; heavy and port business remain stronger first anchors.

Interactive ROI simulator

Use this live in a meeting. Adjust assumptions and show how ROI changes under Panama base conditions versus KAMAS optimization.

Premium = additional upfront EV capital versus diesel equivalent. Savings = delta between diesel and EV operating cost under KAMAS infrastructure. Fleet savings reflect the aggregated commercial narrative for anchor clients.

Monthly savings / unit
1,100
Annual savings / unit
13,200
Estimated payback
9.1y
Annual fleet savings
264,000
Live visual

ROI curve by year

Cumulative payback line. Updates as you change assumptions above.

Execution phases

Structured rollout aligned with demand, utilization, and scaling strategy.

Phase 1 — Months 1–18

Anchor Deployment

Ports and large transport operators with contract-based demand. Focus on immediate cash flow and economic validation.

Phase 2 — Months 18–36

Utilization Expansion

Distribution fleets and commercial operators. Increase utilization rate, improve energy margin, and improve IRR.

Phase 3 — Month 36+

Network Scale

Geographic expansion, Colón Free Zone, and corridor development (Panamá–David). Regional exit optionality activated.

Hub strategy

The location strategy is hybrid by design, but the rollout is sequential. Infrastructure must follow the strongest demand and best route economics first.

Hub 1 (Phase 1) | Pacific / port corridor

Primary launch site. Heavy and commercial flows first. Best fit for anchor-client or strategic port partnership model.

Hub 2 (Phase 2) | Colón / Free Zone

Second logistics anchor. Designed to extend the model into freight, distribution, and Atlantic-side operating density.

Hub 3 (Phase 3) | Panama–David corridor

Longer-horizon expansion aligned with country-scale freight and intercity transport logic once anchor economics are proven.

Hub deployment map

Three strategic locations across Panama, phased by demand density and route economics. Click each hub to explore details.

CANAL Pacific Ocean Caribbean Sea H1 Pacific Hub H2 Colón FZ H3 David Corridor COL CRC
Select a hub

Click any hub marker on the map to explore location details, phase timeline, demand profile, and estimated capacity.

Hub 1 — Phase 1 · Active target
Hub 2 — Phase 2 · Planned
Hub 3 — Phase 3 · Future

Financial waterfall

How KAMAS converts gross revenue into EBITDA. Click each bar to see the breakdown of that line item.

Click a bar to explore

Each bar represents a revenue or cost line. Select one to see the components and assumptions behind it.

Execution timeline

Key milestones from contract signing to regional scale. Click each milestone to expand details.

Scenario comparison

Drag any slider to update all three scenarios simultaneously. See how assumptions affect the return range.

Shared assumptions

Return calculator

Select your partner profile — each type of engagement has a different value model. Cash investors see equity and IRR; strategic and non-cash partners see their equivalent value contribution.

Cash investment
$
$50K$1M$2.5M$5M
Yr 3 (aggressive)Yr 5 (base)Yr 8 (patient)
Round parameters
Pre-money
$8,500,000
Round size
$2,500,000
Post-money
$11,000,000
Exit range
$38M – $55M
Your equity stake
4.55%
Of post-money cap table · pre-dilution
Exit value
$1.73M–$2.50M
At Year 5 exit
MOIC
3.5x–5.0x
Multiple on invested capital
Implied IRR
28%
38%
IRR calculated from MOIC over exit year. Shorter exits yield higher IRR on same multiple.

Illustrative projections only. Subject to final investment terms, future dilution, and market conditions. Not an offer or solicitation. Consult qualified advisors.

Investor FAQ

Critical questions addressed — from legal structure to exit mechanics.

Who we partner with

KAMAS is designed for a multi-stakeholder capital structure. Each partner type plays a distinct role — not just as capital, but as strategic leverage.

Investment opportunity

KAMAS is actively raising its Phase 1 round. We are open to aligned capital — infrastructure, mobility, impact, and logistics-focused funds.

Round type
Seed / Series A
Use of proceeds
Hub 1 infrastructure + contracts
Target IRR
22–28%
Break-even
30–36 months
Status
Open
What we offer investors
Infrastructure-backed returns
Physical assets (hubs, BESS, charging infrastructure) underpin the investment with tangible collateral.
📄
Contract-anchored revenue
B2B agreements with ports and fleet operators provide predictable, recurring cash flow from Day 1.
🌎
Panama strategic moat
Canal Zone logistics, digital free zones, and renewable energy capacity create defensible positioning.
📈
Clear exit path
Strategic sale, regional JV, or IPO optionality by Year 4–5 as hub network scales across Panama and Central America.
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Or write directly: cfonseca@kitcorppty.com