From API to Production: Enterprise AI with Predictable Economics

The AI Infrastructure Challenge

Every organisation deploying AI faces the same fundamental questions: How do we get from prototype to production? What will it actually cost? And can we trust it with our data?

SCX.ai was built to answer these questions with a platform that prioritises three things: Security, Governance, and Efficiency.

Three Paths to Production AI

Not every team has the same needs. Some want raw infrastructure to build custom solutions. Others need turnkey tools that work out of the box. And some need a partner to help architect something unique.

1. Build Your Own

For developers and AI engineers who need direct access to next-generation infrastructure.

SCX.ai provides OpenAI-compatible APIs backed by high-performance inference infrastructure. You get:

• Access to leading models from OpenAI, Google, Meta, and Deepseek
• Sub-100ms latency for user-facing workloads
• Full control over model selection, prompting, and fine-tuning
• Sovereign compute that keeps your data onshore

If you're building AI-native applications, embedding intelligence into existing products, or running complex agent workflows, this is your path.

2. Deploy Standard Tools

For business managers and operations teams who need solutions, not infrastructure.

SCX.ai offers ready-to-deploy business tools that don't require coding expertise:

• AI Chatbots: Deploy customer and employee assistants backed by your knowledge base
• Document Analytics: Turn policies, contracts, and operational data into actionable insights
• RAG Workflows: Connect AI to your existing systems with built-in retrieval and guardrails

These tools come with governance controls built in—content filtering, audit logging, and compliance reporting that satisfy enterprise requirements.

3. Partner for Custom Solutions

For enterprises with unique requirements who need a co-development partner.

Our engineering team works alongside yours to architect, build, and scale custom AI deployments. This includes:

• Solution architecture and design
• Custom model fine-tuning
• Integration with existing systems
• Ongoing operational support

Why SCX.ai: Performance, Economics, Control

Performance

Traditional cloud AI often trades latency for cost, or vice versa. SCX.ai's infrastructure is built for both:

• High throughput for batch processing and analytics workloads
• Low latency for real-time, user-facing applications
• Consistent performance under load—no surprise throttling

Economics

AI costs shouldn't be unpredictable. Our approach to pricing is simple:

• Monthly plans with included usage and support
• No surprise billing—if you exceed your plan, we rate-limit or agree overage terms in advance
• Transparent metrics: cost per token, cost per query, cost per user

Use our AI Workload Calculator to estimate costs for your specific use case.

Control

Enterprise AI requires enterprise controls:

• Model choice: Select from leading open-weight models or bring your own
• Policy enforcement: Apply content filtering, PII detection, and safety checks
• Usage visibility: Real-time dashboards and detailed audit logs
• Data residency: All processing happens onshore, under Australian jurisdiction

Project MAGPiE: AI That Thinks Like an Australian

For customers who need stronger local alignment, Project MAGPiE is an enhanced model tuned with Australian reasoning and context.

MAGPiE isn't just an English model with Australian spelling. It's trained to understand:

• Australian legal and regulatory frameworks (ASIC, APRA, Privacy Act)
• Local business practices and terminology
• Cultural context that affects how questions are asked and answered

This means fewer errors, less prompt engineering, and better outcomes for Australian use cases.

Learn more about Project MAGPiE →

How It Works: Four Steps to Production

Integrating with SCX.ai is straightforward:

Step 1: Connect

Your application calls SCX.ai via OpenAI-compatible API. If you're already using OpenAI, migration is a configuration change—not a rewrite.

Step 2: Secure

Every request passes through our policy layer. Content filtering, guardrails, and compliance checks happen automatically based on your configuration.

Step 3: Run

The model executes your request, optionally with retrieval-augmented generation (RAG) or tool calling. Our infrastructure handles scaling, load balancing, and failover.

Step 4: Insights

You receive your response along with usage data. Detailed reporting lets you track costs, monitor quality, and audit activity.

Built for Regulated Environments

SCX.ai is designed for organisations that need clear controls and auditable operations:

• IRAP pathway for government workloads
• SOC 2 and ISO 27001 compliance frameworks
• APRA CPS 234 alignment for financial services
• Privacy Act compliance with onshore data residency

We support governance-friendly deployment patterns and partner delivery where required.

Request our security brief →

Getting Started

Ready to move from prototype to production?

1. Estimate your costs: Use our Workload Calculator to model your use case
2. Talk to our team: We'll recommend a plan based on your requirements
3. Start building: Get API access and begin integration

Whether you're a developer building the next AI-native application, a business manager deploying chatbots for customer service, or an enterprise architect planning a multi-year AI strategy—SCX.ai provides the infrastructure, tools, and support to get you to production.

Get pricing and a recommended plan →

SCX.ai delivers production-grade AI inference with security, governance, and efficiency. Contact us to discuss your requirements.