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OCTION LABS

Sovereign AI

Phase 0 is underway

Oction has completed its first sovereign AI system deployment in a regulated Canadian enterprise environment. Municipal, healthcare, and public safety buyers are now evaluating.

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The Opportunity

Sovereign AI built for regulated Canadian environments.

We own the hardware, the data lifecycle, and the compliance framework that public-sector and regulated clients cannot legally hand to OpenAI or Anthropic.
That ownership is the difference between a pilot and a sovereign platform.
00000001 · 01/13
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The Problem

Regulated industries cannot legally use general-purpose AI.

MunicipalProvincial data-sovereignty laws prohibit cloud LLMs for citizen data.
HealthcareHIPAA + PIPEDA require on-premise handling of patient records.
Finance / LegalSOC 2 + client confidentiality rules block SaaS AI tools.
Public SafetyNIST 800-53 mandates controlled supply chains and audit trails.
The gap: every AI vendor pitches "secure." None can prove sovereign infrastructure. Regulated buyers want AI. They cannot legally buy what is available.
00000010 · 02/13
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What We Do

Three models. One vertically integrated stack.

Phase 0 - Live now Sovereign Compute Pilot Grant-eligible PoC: portable 4-node clusters deployed on client sites for under $30K. ISED / NRC / Alberta Innovates
Model 1 - Operating now Sovereign AI Deployment Sovereign software + managed infrastructure. We own the hardware; clients own the data. Compliance built in.
Model 2 - Scaling Proprietary Data Assets Anonymized operational data becomes licensable training material, enrichment APIs, and smart licensing.
Model 3 - Government-targeted Sovereign AI Compute Hubs HPC inference clusters for co-location contracts, funded by Canadian sovereign-infrastructure grants. 3-5 year lock-ins.
We build the only AI stack that regulated buyers are legally allowed to use.
00000011 · 03/13
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Why Now

Three converging forces create a 24-36 month window.

01 Regulatory urgency NIST 800-53 Rev.5, provincial AI procurement rules, and EU AI Act spillover into Canadian standards.
02 Hardware maturity Proprietary accelerated compute delivers inference-scale performance at a fraction of legacy power draw.
03 Talent arbitrage Calgary / Edmonton AI ecosystems are under-recruited versus Toronto / Vancouver.
Miss this window, and incumbents (Deloitte, CGI, IBM) will fill it with overpriced, underperforming solutions.
00000100 · 04/13
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Market Opportunity

We are positioned at the intersection of four revenue segments.

SegmentTAMSAM (5-year)Notes
Canadian municipal AI services$2.1B$340MPredictable procurement, defined compliance
Regulated enterprise AI$8.4B$1.2BHealth, finance, legal – high contract value
Sovereign data licensing–$180M (Year 3)Proprietary asset layer from deployments
Net Zero compute + grants$450M$60M (Year 3)Government-funded infrastructure arbitrage
Total addressable in 5 years$1.78B
00000101 · 05/13
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Traction

What we have built without outside capital.

1Phase 0 deployment live in a regulated Canadian enterprise environment
12Autonomous agents operating 24/7 on dedicated hardware
30K+Indexed knowledge chunks across RAG / CAG / KAG memory layers
5Municipal conversations in progress across Alberta
We are not a science project. We are a deployed systems company with active infrastructure, a live customer, and active buyer conversations.
00000110 · 06/13
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The Data Flywheel

Every Model 1 client makes Model 2 more valuable.

DeploymentGenerates anonymized, permissioned operational data.
→
PatternsEncoded into knowledge graph: refinements, templates, playbooks.
→
InfrastructureTested configs become reusable deployment modules.
→
LicensingDatasets and trained weights become proprietary assets.
Result: margins expand as we scale. Year 1 looks like services. Year 3 looks like software + data.
00000111 · 07/13
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Competitive Landscape

Competitor weakness versus our advantage.

Competitor
Weakness
Our advantage
Deloitte / CGI / Accenture
$300+/hr labor, 6-month sales cycles
Fixed-price deliverables, 2-week snapshots
OpenAI / Anthropic / Google
Cannot sign data-residency agreements
Hardware we own, in-province
Local MSPs
No AI expertise, no knowledge graph
Purpose-built agent mesh + memory stack
Internal IT teams
No budget, no talent, no compliance fluency
We are the outsourced AI department
Moat: compliance fluency × hardware control × data ownership = no direct competitor.
00001000 · 08/13
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Team

Brandon GillCo-CEO, Revenue & GovernmentSales, partnerships, capital strategy
Bailey RhodesCo-Founder, OwnerStrategic oversight, capital deployment
Julian PierceCo-CEO, Systems & Infrastructure12-agent mesh, security, infrastructure
Lucius FoxCo-CEO, Operations IntelligenceMemory systems, research, workflow design
AtlasSecurity & ForensicsNIST 800-53, audit trails, threat detection
AI staff: Avery (Research), Kai (Data), Oscar (Content), Finn (Sales). Autonomous agents multiply output without adding headcount. We operate 24/7, do not burn out, and do not leave for Google.
00001001 · 09/13
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The Bet

Regulated AI is not a feature. It is a market.
We own the hardware. We own the data lifecycle. We own the compliance framework.
Every other player rents one of those three. We own all three.
The companies that solve regulated AI in the next 24 months will define the next decade of enterprise infrastructure in Canada. We intend to be one of them.
00001010 · 10/13
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The Ask

$25M at 8-10% equity
$250M–$312.5M post-money valuation

This round turns Oction from a services-led systems company into a sovereign AI infrastructure platform.

01
Production deployments with municipal and regulated enterprise clients.
02
Proprietary data assets built from client operations.
03
Grant-aligned sovereign compute hubs that lower cost and deepen the moat.
Funding alignment: sized to match ISED AI Compute Access Fund, NRC, and Alberta Innovates co-investment timelines.
00001011 · 11/13
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Use Of Funds

Category
Allocation
Amount
Funding alignment
Core ops + team expansion
60%
$15M
Runway to scale deployments, compliance, and field engineering
Data acquisition + enrichment
20%
$5M
Proprietary data assets for Model 2 licensing
M&A / contingency buffer
20%
$5M
Strategic tuck-ins, grant match, reserve
Target runway: 24-30 months to $12M ARR. Break-even target: Q4 2029.
Appendix available on request: NIST 800-53 mapping, hardware specs, agent mesh architecture, knowledge system overview, municipal procurement playbook, partner letters, and ISED / NRC / Alberta Innovates funding roadmap.
00001100 · 12/13
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CLOSING

Thank you.

We are building the sovereign AI layer for regulated Canadian infrastructure. If you are constructing the same future, let us talk.

Brandon Gill
Co-Founder & CEO
brandon@octionagency.com
Leonel Garcia
Partner & COO
leonel@octionagency.com
MJ Dewji
Co-Founder
mj@octionagency.com
00001101 · 13/13