Seed round · AUD
$5M
$19.6M pre-money valuation
Numbers validated in direct conversation with active investors at SouthStart 2026, March 2026. Grounded in IP value and total addressable market — not revenue multiples.
Use of funds
35%Platform build — hosted orchestration and intelligence layer, client environment framework, moderation and IP security architecture
30%Commercial launch — first 10 client engagements, delivery resources, published case study programme
20%IP and governance — legal architecture, ISO/IEC 42001:2023 and ISO/IEC 27001 certification, AI Readiness Scorecard build
15%Brand authority — content programme, thought leadership and market positioning
Where we stand
— no spin
— no spin
✓Digital Workforce model — documented, version-controlled, operationally proven
✓Live proof of concept — SwiftStrides Task Force running now
◑First commercial engagement — scoping underway
◑Platform build — Architecture defined, seed-funded build
--Revenue — pre-revenue; seed funds commercial launch
✓IP protection — trade secret + contractual + legislative
The moment
The window opened in early 2026. It will not stay open long.
In early 2026, the AI models crossed a threshold. With the right prompting, connectors and platform skill bundles, they became reliably capable of performing knowledge work at a standard that exceeds most human output. Not occasionally. Consistently. The humans still needed — and still genuinely needed — are the ones who orchestrate, sanity-check and are accountable for what AI produces. Everyone else on the knowledge worker payroll became, at that moment, a structural liability.
The corporate reality — right now
Every company already knows this. Most are pretending they don't.
The knowledge workers on payroll today are still assets in the accounts. But the finance director and the HR lead are both running the same quiet calculation: if our existing staff use AI tools to absorb more output, we never need to hire another knowledge worker. We just stop backfilling. We let attrition do the work. The headcount falls over three years and the board never has to say the uncomfortable thing out loud.
SwiftStrides is the solution for the organisations that want to do this intentionally, responsibly and with a governance framework that protects them from the regulatory and human consequences of getting it wrong. At the blazing pace of AI, we all know that this window is measured in months, not years.
The market
One billion knowledge workers. One operating model gap.
1B+Knowledge workers globally
$47TAnnual compensation at stake
$183BAI agent market by 2033
<16%Organisations with an AI workforce strategy
Enterprises have spent billions on AI platforms — Microsoft Copilot, ChatGPT Enterprise, Gemini and their equivalents. The tools work. The operating model for running those tools as a coordinated workforce does not exist yet. SwiftStrides owns that model. The platform that protects and delivers it is what this raise funds.
The model
Client data stays in their world. Our intelligence runs it.
SwiftStrides designs and governs ensembles of digital personas — role-defined workers with specific responsibilities, governed behaviour and performance accountability. The intelligence layer that makes each persona behave as designed is hosted by SwiftStrides, encrypted and inaccessible to the client. The client connects their own data, their own business tools and their own communication surfaces to that hosted layer. Their people interact with a team. They never see — and can never reach — what makes that team work.
Client's world
Data & tools
Their connectors, MCP servers, apps and communication surfaces stay inside their environment
→
SwiftStrides — protected
Intelligence layer
Encrypted persona architecture. Prompt never exposed. Moderation and governance built in. IP vault.
→
Client's experience
The workforce
Slack, Teams, voice or web. Their people chat to a team and get expert-level work back.
Why Architecture A is the moat
The secret sauce is the simulation prompt. Every other architecture puts that prompt within reach of a determined client, a security team or an AI geek with Reddit access. Architecture A means the prompt never crosses into the client's environment. Ever. The IP is physically unreachable.
What this means for clients
Client data stays in their world. They get a workforce operating at the capability ceiling of the best available AI. Their security team can sign it off. Their board can understand it. Their staff can use it without a tech degree.
Pricing
The CFO does this maths in thirty seconds.
Every digital worker is priced against an independently established Human Knowledge Worker Equivalent (HKWE) — the full loaded cost of what the organisation would otherwise hire. The table below uses current Australian market data for representative knowledge worker roles. SwiftStrides applies a volume-negotiated discount to the HKWE figure. Every digital worker, regardless of role, performs at expert level.
| Role archetype | AUD salary (market) | Fully loaded HKWE incl. super, leave, recruitment, overhead |
SwiftStrides fee at 30% discount · single worker |
Annual saving |
|---|---|---|---|---|
| Business Analyst | AUD $95,000 | AUD $126,000 | AUD $88,200 | $37,800 |
| Project Coordinator | AUD $85,000 | AUD $113,000 | AUD $79,100 | $33,900 |
| Data Analyst | AUD $90,000 | AUD $120,000 | AUD $84,000 | $36,000 |
| Marketing Specialist | AUD $80,000 | AUD $107,000 | AUD $74,900 | $32,100 |
| Operations Coordinator | AUD $82,000 | AUD $109,000 | AUD $76,300 | $32,700 |
| HKWE: base salary + 11.5% super + 4 weeks leave loading + 15% recruitment fee + AUD $8,000 annualised overhead. Salary data indicative, sourced from SEEK and ABS Labour Force data 2025–26. All figures AUD. | ||||
Volume discount ladder
30%1–4 workers
·
35%5–9 workers
·
40%10–19 workers
·
45%20+ workers
·
+5%2-yr commitment
The AI Readiness Scorecard — SwiftStrides' front-door product — generates the client's recommended team composition and indicative fee before any conversation begins. The client arrives at the number themselves.
Defensibility
Four moats. All compounding.
Hosted intelligence vault
The simulation prompt never crosses into the client's environment. It lives in SwiftStrides' encrypted hosted layer. No NDA breach, no Reddit post, no security team, no disgruntled employee can expose it. The moat is architectural, not contractual.
Trade secret IP
The Digital Workforce model and roll-out method — how personas are designed, governed, versioned and introduced into an organisation — is protected as trade secret. No patents to expire. No disclosure obligation. Compounds with every engagement.
Data flywheel
Every engagement generates proprietary intelligence about what configurations work and how adoption plays out. This learning stays inside SwiftStrides. Every deployment that follows is faster and better.
Category creation
No competitor occupies the specific intersection of hosted digital workforce intelligence and a governed roll-out model. SwiftStrides is naming the category before anyone else can.
Governance — the enterprise permission structure
The framework that makes regulated industries say yes.
Any competitor who builds a digital workforce product without a credible governance framework will hit a wall the moment they try to sell into a regulated industry or government agency. SwiftStrides' governance architecture is the permission structure for enterprise adoption — and the reason a competitor who launches next year still cannot sell where we can.
ISO/IEC 42001:2023
AI Management System standard. Certification target Q4 2026. The credentialing framework enterprise procurement requires before any AI system touches their workforce.
ISO/IEC 27001
Information security management. Client data stays in their environment by design — the hosted intelligence layer is independently certified.
WHS compliance
Australia-specific obligations for human-in-the-loop workforce models. Protects clients from burnout, parasocial risk and regulatory exposure when humans orchestrate digital workforces daily.
AI psychological safety
Ongoing research into the human risks of sustained AI interaction — mania, parasocial isolation, cognitive dependency. Built into the roll-out model. Defensible. Differentiating.
12-month roadmap
From platform MVP to Series A preparation.
Month 1–31Paying clientFirst commercial engagement. Managed delivery while platform MVP builds. Case study begins.
Month 4–65Active clientsPlatform MVP live. Published case study. AI Readiness Scorecard as front-door product. First ARR on record.
Month 7–98Active clientsGovernment pilot initiated. ISO 42001 track active. Platform hardened for enterprise. Second delivery resource onboarded.
Month 10–12$1.5MARR target10+ clients across B2B and B2G. Series A preparation at $250M+ implied valuation.
The founder
Twenty years in the making. A logical conclusion.
Christian Bertram
Founder & Chief Digital Workforce Curator
Twenty years at the intersection of organisational design, knowledge work and emerging technology inside SA Government's most complex transformation programmes. Postgraduate study at Carnegie Mellon. CMMI-certified (V3.0). AIIA iAward winner. SA Premier's Award recipient. Currently embedded in state government AI strategy at Lot Fourteen, Adelaide's innovation precinct. SwiftStrides is the logical conclusion of two decades spent watching how large organisations actually work — and precisely what they need to work differently.
Carnegie Mellon postgraduate
CMMI V3.0 certified
AIIA iAward winner
SA Premier's Award
20 years large-org transformation
Lot Fourteen — SA innovation precinct
ISO/IEC 42001 governance lead
The proof of concept — already running
SwiftStrides operates its own venture on the model it sells. The pitch writes itself.
The SwiftStrides Task Force — a governed ensemble of seven digital personas with defined roles, responsibilities and advisory relationships — runs the venture every day. Commercial strategy, content, delivery, operations, research, AI architecture and legal counsel. All digital. All governed under the same IP that SwiftStrides sells to clients. Not a demo. Not a prototype. The live product.
When a client asks whether this works, the answer is: you are looking at a company that is run by one. And that company just presented you with this document.
If you're seeing what we see, the conversation starts here.
We are not seeking everyone's capital. We are seeking investors who understand category creation, the compounding value of an architectural IP moat and what happens when the operating layer for AI-augmented knowledge work gets established before the window closes.
SwiftStrides (A.C.N. 671 480 023 PTY LTD) · ABN 91 671 480 023 · Adelaide SA 5000
This document is provided for discussion purposes only and does not constitute a financial product, investment advice or an offer of securities under the Corporations Act 2001 (Cth). All projections are illustrative and subject to execution risk. SwiftStrides is a pre-revenue venture at IP and proof-of-concept stage. Salary and HKWE data indicative only. Distribution without express written consent of SwiftStrides is not permitted.
This document is provided for discussion purposes only and does not constitute a financial product, investment advice or an offer of securities under the Corporations Act 2001 (Cth). All projections are illustrative and subject to execution risk. SwiftStrides is a pre-revenue venture at IP and proof-of-concept stage. Salary and HKWE data indicative only. Distribution without express written consent of SwiftStrides is not permitted.
Confidential · March 2026
