Mission Control
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Strategic Partnership Opportunity

CORIOLIS ONE

A working AI engine for fisheries quota allocation: pilot-ready today.
Four more resource domains modeled below as the roadmap ahead.

1
DOMAIN PILOT-READY
4
DOMAINS ON ROADMAP
$400B
FISHERIES TAM
26
ZONES MODELED, ALL DOMAINS
1 / 10
The Problem

The Tragedy of the Commons
is happening right now.

Oceans, atmosphere, freshwater, orbital spectrum. All of it governed by 1940s-era treaties and permanent political deadlock. No neutral mechanism exists to resolve competing claims.

37%
of fish stocks overfished
Up from 10% in 1974: FAO SOFIA 2024. $83B in economic value lost every single year (World Bank). The trajectory is worsening, not improving.
$2T+
estimated annual resource conflict cost
Legal disputes, illegal fishing, fleet standoffs, sanctions, failed treaty negotiations: across all five domains. Order-of-magnitude estimate; $83B verified for fisheries alone (World Bank, 2017).
Few
neutral, AI-native coordination tools
UN bodies are slow and captured by member states. Tools like Global Fishing Watch monitor and report: none run a real-time, multi-stakeholder allocation engine.
📉 The 2023 UN High Seas Treaty created the first legal framework for neutral coordination bodies over shared ocean resources. The window to be first is open right now.
2 / 10
The Solution

A neutral AI sitting between
every competing claim.

CORIOLIS ONE is a decision support engine. Not a regulator. Not a government. Think of it as having the world's most trusted consultant at every negotiating table, with no political stake in the outcome.

⚖️
Weighs Every Factor
Compliance history, economic dependency, treaty obligations, equity. Every recommendation is fully explainable. Every party can see exactly why each allocation was made.
🛡️
Built to Be Neutral
The platform has no stake in any outcome. Algorithm weights are open-source and independently audited. No government can bend the engine. That is the entire value proposition.
🔗
One Platform, Every Resource
Fisheries today. Carbon budget tomorrow. Freshwater and orbital spectrum next. One coordination layer for all planetary commons. The moat is network effects across every resource type.
📊
Nations Have a Reason to Play Ball
Nations are scored on compliance in real time. Good actors receive preferential allocations next cycle. Bad actors see reduced recommendations. No external enforcement needed.
Think of us as the Stripe of global resource coordination. We do not own the resources. We are the infrastructure every deal runs through.
3 / 10
How It Works

Simple enough to explain in a meeting.
Powerful enough to replace years of negotiation.

Three steps. Fully automated. Fully auditable.

📡
1. Ingest
Satellite AIS data, treaty databases, historical catch records, stock assessments. All pulled in real time.
🤖
2. Recommend
AI engine weighs all factors, runs optimisation across all stakeholders, produces a recommendation with full reasoning attached.
3. Coordinate
All parties see the same recommendation, reasoning and compliance scores. Adoption tracked. Scores updated next cycle.
LIVE OUTPUT: NORTHWEST PACIFIC FISHERIES ZONE
Total claimed
24.2M tonnes
Sustainable limit
18.5M tonnes
Overfishing prevented
5.7M tonnes
AI confidence
94%
4 / 10
Legal Position

Clean legal footing.
No sovereignty conflict.

We are a recommendation engine, not a regulator. Governments retain full decision-making authority. We provide the analysis. They choose to act on it. Same as McKinsey, the IMF, or any major consultancy.

What we are not
A binding arbitration body (requires full treaty status)
A regulator with enforcement power over sovereign territory
A replacement for existing frameworks like UNCLOS or RFMOs
Liable for resource outcomes (we advise, parties decide)
What we are
An AI-powered decision support and recommendation platform
A neutral data and analysis layer all parties can trust
A coordination tool that complements existing frameworks
A SaaS platform with the same legal footing as any analytics company
🏛️
The UN High Seas Treaty (2023) is a gift
The treaty explicitly calls for "technical and scientific bodies" to support resource management decisions on the high seas. CORIOLIS ONE is precisely what that language describes. We are not fighting the legal framework. We are the tool it was written for.
5 / 10
Market Opportunity

$3.1T in resources waiting
for a neutral coordinator.

We do not need to own any of it. We take a basis-point fee on every deal that runs through the platform.

🐟 Ocean Fisheries$400B
0.08% fee = $320M revenue at full penetration
🌫️ Carbon Markets (current)$900B+
2023 compliance market. $1T+ projected under BloombergNEF high-demand scenario
💧 Freshwater Rights$800B
Fastest growing segment. Digital water markets are emerging now.
📡 Orbital Spectrum$613B
LEO congestion at crisis point. 5,000+ satellites competing. Kessler Syndrome risk is real and growing.
🌿 Forest Commons$400B
REDD+ market. Amazon approaching 20-25% irreversible tipping point. $1.4T at risk in ecosystem services.
Total SAM $3.1T
Projected revenue at blended 0.07% fee : pre-revenue today
Year 1 (Fisheries)
2 zones, 8 nations, ESG certs
$4M
Year 2 (plus Carbon)
5 zones, 30 nations
$24M
Year 3 (All 5 domains)
26 zones, 147 nations modeled
$180M
Basis-point fees on $4.2T SAM: $180M ARR at 6% platform adoption → $600M+ at 20%
6 / 10
Business Model

The Visa model.
Applied to planet Earth.

Visa does not own any money. They sit in the middle of every transaction and clip a tiny fee. Billions of transactions times a tiny fee equals tens of billions. We do the same thing, but with resources.

💲
Coordination Fee
Basis-point fee on every resource allocation recommendation accepted through the platform. Invisible, automatic and massive at scale.
0.05% to 0.12%
per coordination event
🏛️
Government SaaS
Annual licensing for fisheries ministries, environment agencies and treaty bodies. Dashboard access, API, compliance reporting, white-label options.
$240K to $2M
per government per year
Commons-Certified
Certification for corporations sourcing from CORIOLIS ONE managed zones. $40T in ESG AUM projected by 2030 (Bloomberg Intelligence) is actively seeking verified sustainable resource projects.
$50K to $500K
per certification per year
Here is the thing: we never touch the resources. We charge for coordination. The bigger the commons, the bigger the fee. The mission and the money point in exactly the same direction.
$2.6B
ARR potential at scale
7 / 10
Competitive Moat

Nobody is building this.
Here is why that will not last long.

What already exists (all miss the point)
🏛️ UN / RFMO Treaty Bodies
Government-dependent, politically captured, decision cycles of 2 to 10 years. Norway can veto any Iceland proposal. Zero AI. Zero speed.
📈 Carbon Registries (Verra, Gold Standard)
Single resource, no allocation engine. A 2023 Guardian investigation found 94% of Verra's rainforest credits were of questionable integrity: exposing the core problem: no neutral allocation mechanism. No multi-commons interoperability at all.
🐟 Fisheries Monitoring AI (Global Fishing Watch)
Well-funded, AI + satellite monitoring across ~2M km² of ocean daily. Proves the appetite for AI tooling in fisheries: but it's a transparency layer, not an allocation engine. We're the complement, not the competitor.
Our structural advantages
🔒
Network lock-in
Every party that joins reduces the incentive for others to defect. The platform becomes the rational choice.
📊
Data flywheel
More compliance data feeds better models. Better models produce better outcomes. Better outcomes pull in more parties. The moat widens every single cycle.
🏛️
Legal tailwind
The UN High Seas Treaty 2023 created the legal category we sit in. First mover captures this position.
🤖
The timing is right
Real-time multi-stakeholder optimisation was computationally intractable 5 years ago. It is not anymore. The window is open now.
8 / 10
Acquisition Thesis

Four organisations that should own this.
Here is exactly why each one would.

This is a concept sale, not a fundraise. Deal structure is flexible: IP acquisition, white-label licence, or joint venture. The right partner has distribution and credibility. We have the engine and the IP.

📊
Bloomberg / Refinitiv
Data Infrastructure
Bloomberg Terminal serves 330,000+ subscribers paying $25K+/yr. They already sell commodity prices, carbon market data, fisheries market intelligence. The one thing they do not sell is a neutral allocation recommendation tied to that data. CORIOLIS ONE fills that gap: data + allocation = a decision-support product no competitor (Refinitiv, FactSet, S&P) has anywhere in their suite.
$50 to 150M acquisition
<1 month Bloomberg revenue
🏢
McKinsey / BCG / Accenture
Strategy & Policy Consulting
They charge governments $3 to 20M per engagement for resource policy advice. Teams of 20 consultants spend 6 to 12 months producing a quota recommendation. CORIOLIS ONE produces a draft in minutes that their consultants refine and present. Acquisition thesis: the engine replaces hundreds of millions in consulting hours while creating a licensable product they bill for repeatedly, not once.
IP acquisition + licence
Plugs into BCG X, Accenture AI
🌐
World Bank / ADB
Multilateral Development
The BBNJ Agreement (entered into force January 2026) explicitly calls for "scientific and technical support bodies" in high-seas resource management. World Bank has a structural mandate to fund neutral coordination infrastructure as a global public good. Precedent: they have done exactly this with the Global Platform for Disaster Risk Reduction. Grant + operating budget + multilateral governance pathway.
$10 to 30M grant pathway
IDA / IBRD eligible
🐟
Global Fishing Watch
Fisheries Monitoring
GFW monitors ~2M km² of ocean daily. They track vessels, detect IUU fishing, map effort. The one thing they do not do is produce quota recommendations: that is CORIOLIS ONE. GFW provides data and legitimacy with every RFMO and government on earth. CORIOLIS ONE provides the allocation logic and a commercial revenue stream GFW's philanthropic model has never had. Together: the first complete fisheries decision-support platform in the world.
Acquisition or JV
Monitoring + allocation = complete
The right acquirer does not need CORIOLIS ONE to have revenue. They need it to be working, credible, and extensible: and to be acquired before a competitor does it first.
9 / 10
The Opportunity

Be first.
Own the infrastructure.

Every civilisation-scale coordination problem eventually gets a neutral infrastructure layer. We built it first. The question is who scales it.

What you get today
✅ Working AI multi-factor allocation engine
✅ Live platform with fisheries pilot-ready
✅ 5 fisheries zones, fully modeled
✅ 4 more domains modeled as roadmap preview
✅ Full IP, source code and algorithm
✅ Architecture extensible to any planetary commons
Where this scales (roadmap)
🐟 Fisheries: pilot conversations underway
🌫️ Carbon: $900B+ market today, $1T+ projected: needs a neutral allocation layer
💧 Freshwater: $800B rights market, fastest growing
📡 Orbital: SpaceX vs China congestion, no arbiter exists
🌿 Forests: REDD+ coordination, $400B market
Long-term vision: planetary commons coordination infrastructure
Why now
🏛️ UN High Seas Treaty / BBNJ Agreement (2023)
🤖 Multi-stakeholder optimisation now computationally tractable
📉 37% of fish stocks overfished, up from 10% in 1974 (FAO SOFIA 2024)
💰 Climate-tech VC funding up 8% YoY in 2025, AI-enabled tools leading
🔓 No existing tool combines AI allocation with multi-domain reach
See Live Demo Case Studies Mission Control
10 / 10