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OCTION LABS

Sovereign AI for regulated Canada.

We build the AI stack that public-sector and regulated buyers are legally allowed to use: hardware we own, data they keep, compliance built in. Phase 0 is live.

Oction AgencySovereign AI Infrastructure
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THE THESIS

We own the three things every other AI vendor only rents: the hardware, the data lifecycle, and the compliance framework.

Regulated and public-sector clients cannot legally hand citizen and patient data to OpenAI, Anthropic, or a US cloud. They still need AI. We are the only model built to sell to them on infrastructure we control, in province, with an audit trail.

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THE PROBLEM

Regulated industries want AI and cannot legally buy what is on the market.

The gap: every vendor pitches "secure." None can prove sovereign infrastructure. Buyers want AI but cannot legally buy what is available.

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WHAT WE DO

Three models on one vertically integrated stack. Each makes the next more defensible.

One line: we build the only AI stack regulated buyers are legally allowed to use.

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WHY NOW

Three forces open a 24 to 36 month window.

Miss the window and incumbents (Deloitte, CGI, IBM) fill it with overpriced, underperforming solutions.

Note: prior versions cited a specific power-draw multiplier for the compute hardware. We removed it pending a measured benchmark rather than ship an unverifiable claim.

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WHERE THE DEMAND IS

Four segments where regulated buyers need AI and have defined procurement paths to buy it.

Canadian municipal services
Predictable procurement, defined compliance, citizen-data rules
Regulated enterprise (health, finance, legal)
High-value, sticky workloads blocked from public cloud AI
Sovereign data assets
Permissioned operational data that cannot leave the premise
Government compute and grants
Public investment moving toward domestic, sovereign infrastructure

The demand signal is public: Canada Health Infoway's AI Scribe Program is the largest federally funded health AI deployment in Canadian history (10,554 clinicians enrolled, 708,654 encounters by Aug-Sep 2025). Regulated sectors are moving on AI now, and they need a stack they are legally allowed to use.

Sources: Canada Health Infoway (2025).

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TRACTION

Built with no outside capital. This is a deployed systems company, not a science project.

Honest framing: conversations and pilots are in progress; no production enterprise contract is signed yet. We do not claim revenue we do not have.

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THE DATA FLYWHEEL

Every Model 1 client makes Model 2 more valuable. Margins expand as we scale.

Year 1 looks like services. Year 3 looks like software plus data. The flywheel is the path from project margins to platform margins.

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THE REVENUE MODEL - ONE CLIENT A MONTH, COMPOUNDING

Recurring by design. At our minimum base retainer, adding one client a month compounds into real run-rate inside a year, and most deployments bill well above base.

Recurring from day one
Even a 90-day pilot bills $12,500 per month plus a $50,000 setup, before Production
Minimum base retainer
$25,000 per client per month, standard on-premise deployment
Cadence modeled
One new client per month, each retained on the base subscription
End of month 6
6 clients, $150,000 per month, about $1.8M annual run-rate
End of month 12
12 clients, $300,000 per month, about $3.6M annual run-rate
End of month 24
24 clients, $600,000 per month, about $7.2M annual run-rate
The upside
Multi-site deployments bill $80,000+ per month, several times base

Illustrative model at the minimum base retainer, held flat for clarity. Not a forecast or a commitment; actual contract values vary and most run higher.

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COMPETITIVE LANDSCAPE

Compliance fluency times hardware control times data ownership equals no direct competitor.

01
Deloitte / CGI / Accenture
Their weaknessHigh hourly labor, long sales cycles
Our advantageFixed-price deliverables, short pilots
02
OpenAI / Anthropic / US cloud
Their weaknessCannot sign in-province data-residency on owned hardware
Our advantageHardware we own, in province, auditable
03
Local MSPs
Their weaknessNo AI depth, no knowledge graph
Our advantagePurpose-built agent mesh plus memory stack
04
Internal IT teams
Their weaknessNo budget, talent, or compliance fluency
Our advantageWe are the outsourced sovereign-AI department
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WHERE WE START - TWO VERTICALS, ONE STACK

Municipal government and healthcare are our starting focus. The same sovereign stack serves both, and healthcare is the higher-value, higher-defensibility wedge.

Sources: CMAJ / Unity Health Toronto (2024).

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THE SAME STACK, MORE REGULATED INDUSTRIES

Municipal and healthcare are where we start. The same sovereign architecture applies to any industry where data is regulated and cannot leave the building.

01
Financial services & insurance
Regulatory driverClient confidentiality, OSFI and SOC 2
Representative useOn-prem analysis of client, claims and risk data
02
Legal & professional services
Regulatory driverPrivilege and confidentiality obligations
Representative usePrivate document review and matter retrieval
03
Public safety & defense
Regulatory driverNIST 800-53, controlled supply chains
Representative useAuditable AI on restricted material, on site
04
Energy & critical infrastructure
Regulatory driverSovereignty and OT-security mandates
Representative useLocal AI over operational and inspection data
05
Education & research
Regulatory driverStudent-record (FIPPA) and research-IP rules
Representative useSovereign assistants over institutional knowledge
06
Federal & provincial government
Regulatory driverData-residency mandates beyond the municipal layer
Representative useThe same compliance-first stack at larger scale
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TEAM

A systems and infrastructure company run by operators, multiplied by an always-on agent staff.

01
Brandon Gill
RoleCo-Founder / CEO
FocusSales, partnerships, capital strategy, government alignment
02
MJ Dewji
RoleCo-Founder
FocusStrategic oversight, capital deployment, long-term positioning
03
Leonel Garcia
RolePartner / COO
FocusOperations; healthcare delivery lead; clinical workflow validation and health-authority relationships
04
Shamir Cheema
RolePartner / CRO
FocusRevenue operations and commercial strategy
05
Augustin Gentile
RolePartner / Business Development
FocusPartnerships and revenue-generating deals
AI TEAM autonomous agent mesh
Julian Systems & infrastructureLucius Operations intelligenceAtlas Security & forensicsAvery ResearchKai DataOscar ContentFinn Real estate
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WHY WE WIN - THE MOAT

The moat is structural, not feature-based.

Cloud AI vendors cannot follow us here without abandoning the cloud economics that define them.

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THE BET

Regulated AI is not a feature. It is a market, and it is up for grabs in the next 24 months.

We own the hardware. We own the data lifecycle. We own the compliance framework. Every competitor rents one of the three.

The companies that solve regulated, sovereign AI in the next two years will define the next decade of enterprise and public-sector infrastructure in Canada. We intend to be one of them.

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WHERE WE ARE HEADED

From first deployments to a sovereign AI platform Canada owns.

Each step makes the next more defensible. The direction is one stack that regulated Canada can actually use, own, and trust.

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CONTACT

Want to know more about what we are building? Talk to us.

Brandon Gill, Co-Founder & CEO: brandon@octionagency.com

Leonel Garcia, Partner & COO: leonel@octionagency.com

Shamir Cheema, Partner & CRO: shamir@octionagency.com

More detail available on request: NIST 800-53 control mapping; sovereign compute hardware specifications; agent mesh architecture; knowledge system technical overview; municipal procurement playbook.

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