AI Machine Learning Services Australia

Artificial Intelligence & Machine Learning

Custom AI Solutions for Australian Businesses

We help businesses use AI to automate repetitive work, make better use of their data, improve customer experiences and add useful AI features to existing websites, apps and business systems.

Private deployment options Custom-built solutions
What We Can Build
AI Assistants

Answers from your approved business information

Custom
Document Processing

Extract and organise information automatically

Custom
Predictive Analytics

Forecasting, patterns and data-based planning

Custom
AI Integration

AI features connected to your apps and systems

Custom
Security-conscious AI architectures Custom AI & Machine Learning AWS / GCP / Azure deployment options
What You Get

AI built around a business problem, not just a technology

We start with what you want to improve, automate or build. The final solution depends on your data, systems and goals, but the focus stays on giving your team something they can actually use.

A Private AI Assistant

A custom assistant that can work with approved business information, helping employees find answers, locate information and complete routine knowledge tasks faster.

Workflow Automation

AI-powered workflows that can reduce repetitive manual tasks and connect information between the systems your team already uses.

Document Processing

Systems that can read, extract, classify and organise information from invoices, forms, reports and other business documents.

AI-Powered App Features

Add useful AI features to websites, mobile apps and software, such as AI search, chat, recommendations, content tools or intelligent workflows.

Predictive Models

Models that use your historical data to identify patterns, support forecasting and help your team make better-informed decisions.

Deployment & Integration

A working solution deployed into a suitable environment and connected with the systems, applications or data sources required for the project.

Where AI Can Help

Start with the problem you want to solve

You do not need to know which AI model or framework you need. Tell us what is taking too much time, costing too much or creating a difficult customer or employee experience, and we can assess where AI may fit.

✓

Too much repetitive manual work

Automate suitable tasks such as information handling, classification, document processing and routine responses.

✓

Staff spend too long finding information

Build an internal AI assistant that can search approved business information and provide useful answers.

✓

Customers need faster answers

Add AI-powered search, chat or knowledge features to customer-facing websites and applications.

✓

Business data is difficult to use

Turn existing data into searchable information, reports, predictions or decision-support tools.

✓

Your application needs an AI feature

We can assess and integrate AI capabilities into an existing website, mobile application or software platform.

✓

You have an AI idea but need a practical plan

Start with consulting and feasibility work before committing to a larger development project.

AI Development Services

What we can build for your business

Different businesses need different AI solutions. We select the approach, models and infrastructure according to the problem, available data and intended use.

Generative AI & LLMs

Build AI assistants, knowledge systems, RAG applications and other language-based tools around your business information and workflows.

Client gets: A working AI feature or assistant connected to the information and systems defined for the project.
LLMs RAG LangChain LlamaIndex

Computer Vision

Use image and video analysis for suitable business applications such as visual inspection, object detection, tracking and image-based workflows.

Client gets: A computer vision solution designed around the images, video and business process involved.
YOLO OpenCV TensorFlow PyTorch

Predictive Analytics

Use historical business data to identify patterns and build models for forecasting, demand planning, churn analysis or anomaly detection.

Client gets: A predictive model and the supporting data workflow required for the agreed use case.
XGBoost Time Series Prophet Pandas

MLOps & AI Management

Put the right processes around AI models so they can be deployed, monitored and maintained as the solution develops.

Client gets: Deployment workflows, monitoring and supporting infrastructure appropriate to the project.
MLflow Kubeflow DVC Docker

NLP & Document Intelligence

Process documents and text automatically, including information extraction, classification, invoice processing, sentiment analysis and semantic search.

Client gets: A document or language-processing workflow designed around the information your business needs to handle.
OCR spaCy Hugging Face Semantic Search

Recommendation Engines

Create recommendation systems that help users discover relevant products, content, services or search results based on available data.

Client gets: A recommendation system integrated into the relevant website, application or digital product.
Embeddings Faiss Filtering
How We Work

From your idea to a working AI solution

We keep the process practical. You do not have to commit to a large development project before understanding whether the idea is technically suitable and worth pursuing.

01

Discovery

We understand the business problem, existing systems, available data and the result you want to achieve.

02

Feasibility

We assess whether AI is suitable, what data is required and what type of solution makes sense for your situation.

03

Prototype

Where appropriate, we create an initial proof of concept so you can evaluate the idea before moving into a larger build.

04

Development

We build the agreed solution, connect the required data and systems, and test the main workflows.

05

Launch & Support

We deploy the solution and can continue with monitoring, improvements and technical support where required.

Project Deliverables

What can be included in your project

The exact scope depends on your requirements. Depending on the project, your delivery can include some or all of the following.

AI Application

  • Working AI feature or application
  • User interface where required
  • Connection to approved data sources
  • Testing of agreed workflows

Data & AI Workflow

  • Data preparation and processing
  • Document or knowledge ingestion
  • Search or retrieval workflows
  • Model and workflow configuration

Deployment

  • Cloud or suitable private deployment
  • Application and API integration
  • Deployment configuration
  • Ongoing support where required
Why Cognify

A practical approach to AI development

Our role is not simply to recommend an AI model. We look at how the solution will fit into your business and technology environment.

We start with your business problem

The technology comes after we understand what you are trying to improve, automate or build.

You can start small

A feasibility review or proof of concept can help you test an idea before investing in a larger production system.

AI can fit into existing systems

Where appropriate, we can integrate AI with existing websites, mobile apps, APIs, databases and cloud environments.

Security is considered from the start

We consider data access, deployment environment and appropriate security controls as part of the solution design.

Technology matched to the project

We use different models, frameworks and infrastructure depending on the data, application and technical requirements.

Support beyond the model

Cognify can also support the application, UI/UX, cloud infrastructure and technology requirements around your AI solution.

Technology

The tools depend on what your project needs

We work with established AI, machine learning and cloud technologies and select the appropriate combination for each project.

ML Frameworks & Libraries

PyTorch TensorFlow Scikit-Learn Hugging Face XGBoost OpenCV spaCy

LLM & Vector Technologies

LangChain LlamaIndex Pinecone Qdrant ChromaDB Milvus Ollama

Cloud & MLOps

AWS SageMaker GCP Vertex AI MLflow Kubeflow Docker Triton Server
Frequently Asked Questions

Questions about custom AI development

Here are some of the questions businesses commonly ask before starting an AI project.

What are custom AI solutions?

Custom AI solutions are AI tools developed around a specific business requirement rather than using a general-purpose tool without modification. They can include AI assistants, document processing, predictive models, recommendation systems, computer vision and AI features integrated into existing software.

What types of AI solutions can Cognify build?

Depending on your requirements, Cognify can build generative AI and LLM applications, RAG-based knowledge assistants, document-processing systems, predictive analytics models, computer vision solutions, recommendation engines and AI features for websites and mobile applications.

Can you use our private business data?

Yes, where the project requires it, AI solutions can be designed to work with approved business information. Depending on your requirements, deployment can be considered within suitable cloud, private cloud or on-premise environments. Data access and security requirements are assessed during project planning.

Can you integrate AI into an existing website or application?

Yes. AI can be integrated into existing websites, mobile applications, software platforms and APIs where the current technology environment supports the required integration. Cognify can also support the application and UI/UX work around the AI feature.

How long does a custom AI project take?

The timeline depends on the data, integrations, features and level of development required. A smaller proof of concept can take considerably less time than a production system. After understanding the requirements, we can provide a more useful project scope and timeline.

How much does custom AI development cost in Australia?

There is no single price for custom AI development because the cost depends on the type of solution, data requirements, integrations, infrastructure and ongoing support. A feasibility discussion can help define the scope before development begins.

Do you provide AI consulting before development?

Yes. If you are still deciding what to build, Cognify can assess the business problem, existing technology, available data and potential AI approach before development starts. This can help define a more practical project scope.

Can you deploy AI solutions on AWS, Azure or Google Cloud?

Cognify can work with cloud environments including AWS and Google Cloud, with the deployment approach selected according to the project's technical and security requirements. Private and on-premise deployment can also be considered for suitable use cases.

Start With Your AI Idea

Have an AI project in mind?

Tell us what you are trying to improve, automate or build. We can discuss the problem, look at the technology involved and help you decide what the next step should be.

No complicated form. Start with a conversation about what you need.