JIN SHARK AIPTY LTD · AUSTRALIA Discuss your project
AUSTRALIAN AI INFRASTRUCTURE

Enterprise AI models
and inference infrastructure

One gateway. Multiple models.
From model integration to dedicated inference, plan an AI service that grows with your business.

Discuss your project Explore the gateway
Unified model access Dedicated inference Enterprise partnerships
MODELS. INFERENCE. INFRASTRUCTURE.Explore enterprise AI
01 / MULTI-MODEL GATEWAY

One gateway.
The right model for the task.

Connect business requests through a unified gateway.
Plan model selection, routing and operations together.

Illustrative model integration
01 / ENTERPRISE

Your business

Internal tools, products and workflows

Knowledge search request
02 / GATEWAY

JIN SHARK AI

Authentication, routing and usage allocation

Request received
03 / MODEL ROUTING
Claude Knowledge search
DeepSeek Code assistance
Gemini Document extraction
04 / APPLICATION

Knowledge assistant

Turn retrieved information into useful answers

Response returned to your application

Illustrative workflow, not a live request or performance claim. Integrations depend on client needs, model availability and provider terms.

MODEL ECOSYSTEM

Model choice, built around your needs.

Compare models

Models shown are illustrative, not a list of active integrations or partnerships. Model versions and access are scoped to client requirements and provider terms.

02 / ENTERPRISE SERVICES

From model access
to enterprise operations.

Connect integration, capacity and delivery
with your business priorities.

01

Enterprise model services

UNIFIED ACCESS

Plan a unified model interface to simplify integration and switching across providers.

  • API integration and routing
  • Access, usage and cost allocation
02

Dedicated inference

DEDICATED INFERENCE

Assess model deployment, GPU resources and inference capacity for the move from pilot to production.

  • Model deployment and capacity planning
  • Latency, throughput and cost assessment
03

Enterprise delivery

PARTNER DELIVERY

Work with enterprise teams, software companies and integrators to embed AI into existing products and workflows.

  • Technical assessment and joint delivery
  • Defined support and service levels
03 / INFERENCE FOUNDATION

Infrastructure planned
for production workloads.

From application requests to GPU resources,
define the model, capacity and operating responsibilities.

Deployment regions, data handling, capacity and SLAs
are agreed around model licences and project requirements.

01

Enterprise applications

Business systems / Products / Workflows

02

Model gateway

Authentication / Routing / Usage policies

03

Inference runtime

Model serving / Scheduling / Monitoring

04

GPU infrastructure

Dedicated resources / Capacity / Scaling

04 / ENTERPRISE APPLICATIONS

Put AI to work in your business.

Explore model options

Knowledge & customer service

Connect documents, knowledge bases and service workflows so information is easier to find and use.

Development & automation

Bring code assistance, document processing and task orchestration into everyday work.

AI product integration

Plan model access and inference resources for AI features in your products.

LET'S BUILD WHAT'S NEXT

Start with your business needs.

Tell us what you are building and where AI could help.
We can explore model selection, inference and delivery.

Discuss your project