AI software · SCX.ai
Promote SCX.ai Sovereign AI Platform
SCX.ai Sovereign AI Platform
Australian-hosted, sovereign AI inference and managed AI workloads with OpenAI- and Anthropic-compatible APIs and full data control.
Partner summary
The offer at a glance
A quick read on buyer fit, pitch, economics, and promotion fit.
Best buyer
Regulated financial services and wealth firms
Main outcome
Australian data sovereignty by default with no training on customer data, no prompt caching, and no retention
Commission
To be confirmed
Best channels
Content Marketing And SEO, Technical And Developer Content, Organic Social Including LinkedIn, Founder And Partner Referrals
Terms
Founder confirmation required before promotion.
Main pitch
SCX.ai is Australian sovereign AI infrastructure: OpenAI- and Anthropic-compatible access to 15 onshore models, managed RAG, and fine-tuning, with no training on your data, no...
Economics
Partner terms
Commission, pricing model, and review timing for this listing.
Commercial terms
Partner terms
Founder confirmation required before partners promote this listing.
- Commission
- To be confirmed
- Pricing
- Subscription
- Duration
- —
- Review period
- 30 days
Pricing tiers
Starter
PrimaryCustom/ monthly
Tracks Self Serve Signup
- 400 STU per month
- Access to all public models
- Standard inference speed
- Community support
Enterprise
Custom/ custom
Tracks Sales Assisted
- 15,000 STU per month
- Dedicated inferencing endpoints
- Model fine-tuning
- Bring your own model support
- 24/7 dedicated support
Growth
Custom/ monthly
Tracks Self Serve Signup
- 5,000 STU per month
- Priority inference speed
- Reserved throughput add-on
- Email support
Who this converts for
The buyers this offer is shaped for. Match your reach to the strongest audience fit.
Regulated financial services and wealth firms
Deploy frontier AI for inference, RAG, and managed workloads while keeping data sovereign, auditable, and cost-predictable.
Pain points
- Sensitive data cannot go to offshore or uncontrolled AI pipelines
- Document- and review-heavy workflows are slow and audit-exposed
- GPU infrastructure cost is unpredictable and complex
- Regulators expect auditability, sovereignty, and risk management
Desired outcomes
- AI under Australian law with no training on customer data
- Auditable, high-availability infrastructure
- Predictable, energy-efficient economics
- Fast, drop-in model access
Government and public sector agencies
Deploy frontier AI for inference, RAG, and managed workloads while keeping data sovereign, auditable, and cost-predictable.
Enterprise and corporate IT and knowledge teams
Deploy frontier AI for inference, RAG, and managed workloads while keeping data sovereign, auditable, and cost-predictable.
AI builders and ML engineering teams
Deploy frontier AI for inference, RAG, and managed workloads while keeping data sovereign, auditable, and cost-predictable.
Healthcare and life sciences organisations
Deploy frontier AI for inference, RAG, and managed workloads while keeping data sovereign, auditable, and cost-predictable.
Australian regulated enterprises
Deploy frontier AI for inference, RAG, and managed workloads while keeping data sovereign, auditable, and cost-predictable.
Why partners convert here
When to pitch this, and the outcomes the buyer actually gets.
Use cases
- Sovereign enterprise RAG and knowledge assistant
- Sovereign enterprise RAG and knowledge assistant
- Regulated document and contract analysis
- Regulated document and contract analysis
- Secure customer and citizen support automation
- Secure customer and citizen support automation
- Code assistance and agentic systems
- Code assistance and agentic systems
- Fraud detection and ESG screening
- Fraud detection and ESG screening
Outcomes
Australian data sovereignty by default with no training on customer data, no prompt caching, and no retention
Drop-in migration to onshore inference in roughly two lines via OpenAI- and Anthropic-compatible APIs
AI under Australian law with no training on customer data
Auditable, high-availability infrastructure
Predictable, energy-efficient economics
Fast, drop-in model access
Sovereign data handling by default
EvidenceCompliance alignment and audit readiness
EvidenceAustralian sovereign data centres
EvidenceLive model comparison demo
Evidence15 onshore models
EvidenceBefore · After
Sovereign enterprise RAG and knowledge assistant
Before
Internal knowledge is siloed and employees cannot safely query it with external AI APIs.
After
A managed, isolated vector store with sovereign inference delivers grounded answers without data leaving Australian control.
Expected outcome: Faster, accurate internal answers with full data control and audit trails.
What makes this different
Where this offer beats the alternatives.
Onshore, isolated inference under Australian law
No training on customer data, no prompt caching, no retention by default
OpenAI- and Anthropic-compatible in roughly two lines
ASIC-optimised efficiency claimed by SCX.ai
15 onshore models plus fine-tuned MAGPiE and managed RAG
Promotion strategy
Partner playbook
Angles, questions, objections, and inputs to keep outreach sharp.
Value proposition
Australian-hosted, sovereign AI inference and managed AI workloads with OpenAI- and Anthropic-compatible APIs and full data control.
How to pitch
SCX.ai is Australian sovereign AI infrastructure: OpenAI- and Anthropic-compatible access to 15 onshore models, managed RAG, and fine-tuning, with no training on your data, no prompt caching, and no retention by default. It is built for regulated enterprises, government, healthcare, and AI builders that cannot send sensitive data offshore but still want frontier models and predictable, energy-efficient economics.
Positioning
The sovereign, energy-efficient alternative to offshore AI APIs for Australian regulated enterprise, government, and AI builders, with drop-in OpenAI and Anthropic compatibility.
Best angles to test
- Data sovereignty and regulatory pressure for AU enterprise and government
- Drop-in OpenAI and Anthropic compatibility with no rework
- Energy and cost efficiency versus GPU infrastructure
- Managed RAG live in minutes for builders
- Sector-specific value in finance, government, and healthcare
- Australian-hosted, onshore AI inference with data governed under Australian law
- No training on customer data, no prompt caching, and no input or output retention by default
- OpenAI- and Anthropic-compatible API with roughly two-line integration
- Access to 15 onshore models including DeepSeek, Llama, Qwen, gpt-oss, MiniMax, plus SCX.ai MAGPiE and coder
- Managed vector storage and RAG-as-a-service on sovereign infrastructure
- Pay-as-you-go token-based pricing in AUD with no long-term contracts, as stated by SCX.ai
- Described by SCX.ai as aligned with APRA CPS 234, Australian Privacy Principles, and ISO 27001/IRAP-aligned controls
Angles to avoid
- Do not claim guaranteed revenue
- Do not claim results are typical
- Do not claim official partnership before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
- Do not present efficiency or performance figures such as 5x, 70%, 60%, 10x, or sub-100ms as guaranteed or independently verified
- Do not state SOC 2, ISO 27001, IRAP, or APRA compliance as certified or audited unless the founder confirms it
- Do not claim regulator endorsement by APRA or ASIC
- Do not claim a specific customer count
- Do not present vendor performance and efficiency figures as independently verified
Discovery questions
- Where are your AI prompts and data currently processed and stored?
- Are you subject to APRA CPS 234, Australian Privacy Principles, or government hosting requirements?
- Are you already using OpenAI or Anthropic APIs in production?
- What is your monthly token volume or workload profile?
- Do you need fine-tuning, BYO model, or managed RAG?
Disqualifiers
- Teams comfortable sending sensitive data to offshore consumer AI tools with no sovereignty or auditability requirements.
Target keywords
Objections & responses
“We already use OpenAI or Anthropic, why switch?”
Response: SCX.ai is OpenAI- and Anthropic-compatible in roughly two lines of code, so existing code keeps working while gaining Australian data sovereignty, no training on your data, no prompt caching, and onshore isolated inference.
“Are the compliance certifications real and audited?”
Response: The site states alignment with APRA CPS 234, ASIC guidance, Australian Privacy Principles, and ISO 27001/IRAP-aligned controls with immutable audit trails; present these as SCX.ai-stated alignment and confirm certification and audit evidence with SCX.ai before relying on them.
“Will open-weight models keep up with frontier closed models?”
Response: SCX.ai offers frontier open-weight models such as DeepSeek-V3.1, gpt-oss-120b, Qwen3-235B, and MiniMax-M2.5 plus its fine-tuned MAGPiE, and provides a live side-by-side comparison so buyers can validate quality and speed themselves.
“Will our AI costs be predictable?”
Response: SCX.ai states pay-as-you-go token-based pricing in AUD with no long-term contracts and reserved throughput for volume; share exact rates only after the founder confirms current pricing.
“Is this only useful inside Australia?”
Response: The sovereignty value is strongest for Australian regulated organisations with onshore data centres and Australian law, while the platform also lists global availability; lead with AU-regulated buyers as the best fit.
Rules
Promotion rules
Where you can promote, what is restricted, and what the founder requires.
Allowed channels
Restricted channels
- AI-generated content
- Yes
- Content reuse
- No
- Founder approval
- Yes
Approved claims
- Australian-hosted, onshore AI inference with data governed under Australian law
- No training on customer data, no prompt caching, and no input or output retention by default
- OpenAI- and Anthropic-compatible API with roughly two-line integration
- Access to 15 onshore models including DeepSeek, Llama, Qwen, gpt-oss, MiniMax, plus SCX.ai MAGPiE and coder
- Managed vector storage and RAG-as-a-service on sovereign infrastructure
- Pay-as-you-go token-based pricing in AUD with no long-term contracts, as stated by SCX.ai
- Described by SCX.ai as aligned with APRA CPS 234, Australian Privacy Principles, and ISO 27001/IRAP-aligned controls
Claims to avoid
- Do not claim guaranteed revenue
- Do not claim results are typical
- Do not claim official partnership before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
- Do not present efficiency or performance figures such as 5x, 70%, 60%, 10x, or sub-100ms as guaranteed or independently verified
- Do not state SOC 2, ISO 27001, IRAP, or APRA compliance as certified or audited unless the founder confirms it
- Do not claim regulator endorsement by APRA or ASIC
- Do not claim a specific customer count
- Do not present vendor performance and efficiency figures as independently verified
Evidence
Proof & trust signals
Claims, evidence links, and operational trust signals partners can lean on.
Proof points
- Australian data sovereignty by default with no training on customer data, no prompt caching, and no retention
- Drop-in migration to onshore inference in roughly two lines via OpenAI- and Anthropic-compatible APIs
- AI under Australian law with no training on customer data
- Auditable, high-availability infrastructure
- Predictable, energy-efficient economics
- Fast, drop-in model access
- data retention: 0 retention by default
- performance per watt improvement: 5 x (vendor-stated, up to)
- uptime SLA: 99.9 % (vendor-stated)
- integration effort: 2 lines of code (vendor-stated)
- Sovereign data handling by default
- Compliance alignment and audit readiness
- Australian sovereign data centres
- Live model comparison demo
- 15 onshore models
Proof links
- SCX.ai logo
SCX.ai organisation logo (dark background, 512x512).
- Secure, high-performance AI infrastructure
SCX.ai social/open-graph image.
- Managed RAG chat interface
Managed vector storage and context-aware generation interface.
About SCX.ai
SCX.ai is an Australian sovereign AI infrastructure platform that gives enterprises, government, and AI builders OpenAI- and Anthropic-compatible access to 15 onshore models plus managed AI workloads, vector storage, and fine-tuning, with no training on customer data, no prompt caching, and no retention by default on ASIC-optimised infrastructure SCX.ai states is far more energy- and cost-efficient than traditional GPU stacks.
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