oction labs
Brand + investor deck
Secure AI deployment and vetted data for regulated industries
Brandon Gill, Co-CEO  ·  Bailey Rhodes, Co-Founder  ·  June 2026
Deployments live $25M seed / pre-series A Confidential Q3 2026 target close
brandon@octionlabs.com  ·  bailey@octionlabs.com octionlabs.com
Foundation
"We deploy AI inside regulated environments, de-identify and vet the data those environments generate, and license the resulting datasets to companies training the next generation of AI models."
Layer 1
Secure AI deployment
Layer 2
De-identification pipeline
Layer 3
Vetted data licensing
The problem
Regulated industries cannot legally use general-purpose AI
  • Municipal governments — provincial data-sovereignty laws prohibit cloud LLMs for citizen data.
  • Healthcare — HIPAA and PIPEDA require on-premise handling of patient records, diagnoses, and care history.
  • Finance and legal — SOC 2 and client confidentiality rules block SaaS AI tools from touching case or account data.
  • Public safety — NIST 800-53 mandates controlled supply chains, audit trails, and data-residency guarantees.
The gap
Every AI vendor pitches "secure." None can prove sovereign infrastructure. Regulated buyers want AI. They cannot legally buy what exists.
Our answer
AI that runs inside your environment. Your data never leaves. Decisions are traceable and auditable.
What we do
Three layers. Each one compounds the last.
Layer 1
Secure AI deployment
We deploy AI systems inside regulated environments: healthcare, government, finance, legal. The software runs on the client's own infrastructure or our nodes via secure tunnel. Data does not leave the environment. NIST 800-53, HIPAA, PIPEDA compliance built in.
Revenue: deployment and managed services fees
Layer 2
De-identification and vetting
As the system operates, data interactions are anonymized in real time. We classify every data type by what can and cannot be shared under applicable law. The result is a structured, verified, shareable dataset built from real regulated-industry activity.
Moat: no other party has legal access to this data
Layer 3
Vetted training data licensing
The curated datasets are licensed to AI companies building domain-specific models. Healthcare AI companies, public sector AI vendors, and enterprise AI developers all need training data from regulated environments. There is no compliant alternative source.
Revenue: recurring data subscriptions and one-time licenses
The niche strategy: we go deep in a small number of regulated sectors before expanding. Depth makes the data defensible.
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 are creating mandatory procurement criteria that only sovereign infrastructure can satisfy.
02   Training data scarcity
The next wave of AI model development requires domain-specific, high-quality training data from regulated environments. This data is locked behind compliance walls that no cloud AI company can cross. Oction is already inside.
03   Talent arbitrage
Calgary and Edmonton AI ecosystems are significantly under-recruited relative to Toronto and Vancouver. We operate there. Competing firms have not discovered this yet.
Miss this window and incumbents (Deloitte, CGI, IBM) will fill it with overpriced, underperforming solutions.
Market opportunity
Total addressable in 5 years: $1.1B
SegmentTAMSAM (5-year)Notes
Regulated AI deployment services$8.4B$420MHealth, government, finance, legal - managed services
AI training data licensing$4.1B$380MVetted, de-identified regulated-sector datasets
Canadian municipal AI$2.1B$180MPredictable procurement, defined compliance path
Domain model fine-tuning data$1.8B$120M (Year 3)Niche-specific model weights and curated corpora
The deployment business funds operations. The data licensing business is where the margin compounds. No competitor is positioned across both.
Our identity
Infrastructure that earns trust before it earns revenue.
Oction is not a product company. We are an infrastructure company. The brand reflects that: precise, dark, and functional. One point of colour, used only where it matters.
Dark by default
We design for engineers, not pitch rooms. Precision over decoration. No gradients. No hype. No exclamation marks.
Sovereign by design
The hardware is ours. The data stays yours. The compliance is built in, not claimed. This is not a feature. It is the architecture.
One signal
Coral is the only accent in our design system. It is used once, where it matters most. That discipline is the same discipline we bring to every deployment.
The pipeline
Secure deployment is the entry point. The data asset is the business.
Year 1: deployment fees. Year 3: data licensing at margin. Year 5: the most defensible regulated-sector dataset in Canada.
Depth in a few niches beats breadth across many.
1
Secure deployment
Oction deploys AI inside the regulated environment. All processing stays within the client's infrastructure or our secured nodes. No data egress.
2
Real-time de-identification
Every interaction is anonymized as it occurs. PII, PHI, and identifying signals are stripped at the point of generation, not after the fact.
3
Shareability classification
Each data type is assessed against applicable law and client consent agreements. A binary determination is made: shareable or not shareable. No grey zone.
4
Vetted dataset licensing
Curated, verified, sector-specific datasets are licensed to AI companies. The buyer gets legally defensible training data from environments they cannot access themselves.
Competitive landscape
No direct competitor for the full stack
CompetitorTheir weaknessOur position
OpenAI / Anthropic / GoogleCannot sign data-residency agreements. PHI/PII cannot leave the facility.We operate inside the environment. They cannot.
Deloitte / CGI / Accenture$300+/hr labour, no AI expertise, no data pipelineSoftware-first, faster, and we retain the data asset
AI training data brokersPublic web scrapes, synthetic data, no regulated-sector accessReal, verified, de-identified data from live regulated deployments
Local MSPs and health IT vendorsNo AI expertise, no compliance fluency, no de-identification pipelinePurpose-built for compliance from day one
Moat: compliance fluency × inside access × de-identification pipeline = the only source of legally defensible regulated-sector training data in Canada.
Team
Who builds and operates the system
Brandon Gill
Co-CEO, Revenue and Gov. Relations
Sales, partnerships, capital strategy. Manages client relationships and government alignment.
Bailey Rhodes
Co-Founder, Owner
Strategic oversight and capital deployment. Long-term positioning and governance.
Julian Pierce
Co-CEO, Systems and Infrastructure
12-agent mesh, security, and on-premise deployment architecture.
AI staff (active, 24/7)
Lucius - Operations intelligence Atlas - Security and forensics Avery - Research Kai - Data Oscar - Content Finn - Sales
We operate around the clock. We do not burn out. We do not leave for Google.
The bet
We are already inside the most restricted data environments in the country.
We de-identify it, vet it, and classify exactly what can leave.
Companies building the next generation of AI models need this data. There is no other legal way to get it.
The deployment business gets us inside. The de-identification pipeline builds the asset. The licensing business is the outcome.

Every niche we go deep on makes the dataset harder to replicate and more valuable to the buyers who need it.
The ask
$25M
Seed / Pre-Series A  ·  8-10% equity  ·  $250M-$312.5M post-money
50%   $12.5M
Deployments and team
Scale regulated-sector deployments, compliance engineering, and client success.
30%   $7.5M
De-identification pipeline
Build and harden the anonymization, vetting, and classification infrastructure. Legal framework per niche.
20%   $5M
Niche depth and reserve
Deepen the first two niches (healthcare, municipal) before expanding. Operating reserve and grant co-match.
Target: 24-30 months to first data licensing revenue. Services ARR funds operations while the dataset compounds.
Sized to align with ISED AI Compute Access Fund, NRC IRAP, and Alberta Innovates timelines.
oction labs
Secure deployments today. The most valuable regulated-sector dataset in Canada tomorrow.
Brandon Gill  ·  brandon@octionlabs.com
Bailey Rhodes  ·  bailey@octionlabs.com
Julian Pierce  ·  julian@octionlabs.com
$25M Seed / Pre-Series A Q3 2026 octionlabs.com