Angel round · AUD
$5M
$19.8M pre-money valuation
Numbers validated in direct conversation with active investors at SouthStart 2026, Adelaide — Australia's flagship emerging technology conference. Grounded in IP value and total addressable market — not revenue multiples.
Two seats. $2.5M minimum.
This round is capped. We are selecting the most suitable investors who bring domain expert networks alongside capital — specifically, human-in-the-loop specialists in finance, legal and operations who can provide independent assurance over Digital Workforce outputs. Your network is as valuable as your cheque.
$5M cap
Two investors
$2.5M minimum
A founding investor is already in conversation — a Carnegie Mellon University professor with 34 years in ICT, 50+ patents, three published books, advisory roles spanning Apple, Telstra, Samsung, Ericsson and Hitachi, and a current leadership position in an Adelaide-based AI and IoT venture. This is the calibre of the table.
The trajectory
This is a six-round build. Each round is six months apart.
SwiftStrides is building the operating layer for the global AI workforce transition. The trajectory below is not a hope — it is an engineering plan. Each funding round unlocks the next layer of the Digital Workforce cascade, compressing what would normally require hundreds of human employees into a governed, scalable architecture that no competitor can replicate.
The accelerator is the product itself. The same Digital Workforce Operating Model that SwiftStrides sells to clients runs the venture — meaning the company scales at a pace that human headcount alone cannot match. Every round funds the next layer of orchestration capability. Every layer compounds the value of every layer beneath it.
Now
Angel
$5M · $19.8M pre
+6 months
Seed
First revenue · Platform MVP
+12 months
Series A
$1.5M ARR · Enterprise traction
+18 months
Series B
Government + global expansion
+24 months
Series C+
Category dominance
+30 months
Exit
Acquisition by a global AI infrastructure leader
Target: exit-ready H1 2029
Board or miss the flight. The window for category creation in AI workforce governance is measured in months. Every six months, the cost of entry rises and the advantage of being first compounds.
The cascade model
Thirteen at Layer 0 today. Three million equivalent workers at full cascade. The Digital Workforce scales in governed layers — no node orchestrates more than twelve direct reports, human or digital. Each layer unlocks progressively as platform maturity and available compute increase. Each funding round funds the next layer of orchestration capability.
| Layer | Description | Count | Cumulative | Funded by |
|---|---|---|---|---|
| 0 | 1 founder + 12 digital workers — Chief Digital Workforce Curator and the SwiftStrides Task Force | 13 | 13 | Pre-raise |
| 1 | 12 human orchestrators + 144 digital workers — each orchestrator governing 12 digital workers | 156 | 169 | Angel → Seed |
| 2 | Digital workers — first delegation layer (144 × 12) | 1,728 | 1,897 | Series A |
| 3 | Digital workers — second delegation layer (1,728 × 12) | 20,736 | 22,633 | Series B |
| 4 | Digital workers — third delegation layer (20,736 × 12) | 248,832 | 271,465 | Series C |
| 5 | Digital workers — full cascade at scale (248,832 × 12) | 2,985,984 | 3,257,449 | Exit-ready |
At Layer 5, the cumulative workforce equivalent exceeds three million — the operating scale of the world's largest single organisations. The governance constraint of twelve direct reports per node is not a limitation. It is the architecture that makes this credible. Currently theoretically feasible; practical platform limits at present maturity are being progressively resolved with each build cycle.
Where we stand — no spin
✓
Digital Workforce model — documented, version-controlled, operationally proven
✓
Live proof of concept — SwiftStrides Task Force running now (12 digital workers, governed daily)
◑
First commercial engagement — scoping underway
◑
Platform build — architecture defined, Angel-funded build
--
Revenue — pre-revenue; Angel funds commercial launch
✓
IP protection — trade secret + contractual + legislative
✓
Founding investor interest — Carnegie Mellon alumnus, 34-year ICT career, in conversation
Use of funds
$5M Angel round
30%
Platform build
Hosted orchestration and intelligence layer, client environment framework, moderation and IP security architecture. The infrastructure that unlocks Layer 2 of the cascade.
22%
Team — Layer 1 (first cohort)
Three senior digital workforce orchestrators. Best-of-class hires who form the first human layer of the cascade model. Three more funded by the Seed round to complete Layer 1.
20%
Commercial launch
First client engagements, delivery resources and published case study programme. Revenue generation begins here.
15%
IP and governance
Legal architecture, ISO/IEC 42001:2023 and ISO/IEC 27001 certification, AI Readiness Scorecard build. The permission structure for enterprise and government sales.
13%
Brand authority
Content programme, thought leadership and market positioning. For a category creator, thought leadership is not vanity — it is the primary sales channel.
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.
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
$47T
Annual compensation at stake
$183B
AI 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 prompting architecture. 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 the IP is physically unreachable and heavily defended
The secret sauce is the prompting architecture. Every other approach puts that architecture within reach of a determined client, a security team or an AI geek with Reddit access. SwiftStrides' hosted model means the prompting architecture never crosses into the client's environment. Ever. The IP is physically unreachable — and protected by layered encryption, access controls and contractual enforcement that compound with every engagement.
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. 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 | SwiftStrides fee at 30% discount | Annual saving |
|---|---|---|---|---|
| Business Analyst | $95,000 | $126,000 | $88,200 | $37,800 |
| Project Coordinator | $85,000 | $113,000 | $79,100 | $33,900 |
| Data Analyst | $90,000 | $120,000 | $84,000 | $36,000 |
| Marketing Specialist | $80,000 | $107,000 | $74,900 | $32,100 |
| Operations Coordinator | $82,000 | $109,000 | $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.
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 prompting architecture 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 quarter still cannot sell where we can.
ISO/IEC 42001:2023
AI Management System standard. Certification target Q1 2026. The credentialling 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.
Independent expert audit
Third-party domain specialists — finance, legal, operations — provide independent assurance over Digital Workforce outputs. Not self-assessed. Externally validated. The standard of care that procurement requires and competitors cannot match at speed.
12-month roadmap
Angel to Seed in six months. Seed to Series A in twelve.
Month 1–3
1 client
3 hires
3 hires
First commercial engagement. Three senior digital workforce orchestrators onboarded — the first cohort of Layer 1. Managed delivery while platform MVP builds. Case study begins.
Month 4–6
5 clients
Seed ready
Seed ready
Platform MVP live. Published case study. AI Readiness Scorecard as front-door product. First ARR on record. Seed round opens — funds remaining three Layer 1 orchestrators and Layer 2 platform build.
Month 7–9
8 clients
Layer 1 complete
Layer 1 complete
Full Layer 1 complement — 12 human orchestrators governing 144 digital workers. Government pilot initiated. ISO 42001 track active. Platform hardened for enterprise.
Month 10–12
$1.5M ARR
Series A ready
Series A ready
10+ clients across B2B and B2G. Layer 2 operational. Series A preparation — the trajectory from here is category dominance and global expansion.
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. A Carnegie Mellon Master of IT Management graduate with SEI Software Architecture and Certified Enterprise Architect credentials. CMMI-certified. AIIA iAward winner. SA Premier's Award recipient. Published academic researcher, international conference presenter and featured in The Rundown AI. 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.
SA Premier's Award recipient
ISO/IEC 42001 governance lead
Lot Fourteen — SA innovation precinct
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 12 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 yes. You are looking at a company that is run by its model. And that company just presented you with this document. And you can chat to the team live — 24/7/365.
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.
Confidential · March 2026
