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Drive Smarter Decisions
with a Custom-Built Machine
Learning App
Through advanced ML Development, we create predictive models that transform data into actionable insights across your operations.
At 7 Pillars, we are a leading machine learning app development company in Australia, specialising in developing future-generation predictive and intelligent digital experiences that enable businesses of any type. Our machine learning app development in e-commerce, fintech, healthcare, and education generates robust, data-driven, real-time solutions that facilitate decision-making, enhance interactions, and yield measurable business outcomes.
Our ML experts help to create intelligent systems that improve efficiency, automation, and analytics for both a startup and an enterprise. Our machine-learning portfolio centres around solutions that have a positive impact on user retention, simplify operations, reduce costs and speed up the process of digital transformation in an AI-driven world.
AI Solutions
Android Devlopment
UI/UX Design
iOS Development
Internet of things
AI Solutions
Android Devlopment
UI/UX Design
iOS Development
Internet of things
Why Invest in Machine Learning
App Development?
Improved Customer
Interaction
By the use of a hyper-personalised experience, the firms which hire machine learning app development services can see an increase in engagement by 85 per cent.
Streamlined
Operations
ML systems that are data-driven and designed with the focus on the user enable the automation of workflows and the reduction of operational expenses by up to 40%.
Customised User
Interface
Implement intelligent machine learning apps that are sensitive to user context, behaviour and intent.
Global Market
Reach
Both scale using cloud technologies and AI-based solutions that target audiences globally in real-time.
Complete Machine Learning App Development Solutions, Built
to Scale
Our Recent Work
Joshcam
Raised Funding of $809M
Daylyy
Fueling Connections Daily
Milk Bun
Redefining Food Delivery
What You Get with Our Machine Learning App Development?
User-Centric Design
Our machine learning app development company in Australia designs user-friendly interfaces that are compatible with ML-based user interaction and intelligence.
Offline-First Capabilities
We implement intelligent caching, fallback predictions, and background sync to deliver high-quality performance even when the network is weak.
Push Notifications
Dynamic, AI-driven predictive workflows and messages for engagement are what our solution offers.
Analytics & Telemetry
We offer real-time model tracking, insights dashboards and analytics reporting.
Payment and Checkout Integrations are secure
We develop PCI-compliant and tokenised payment systems on ML-based e-commerce systems.
Let's talk
Actionable insights, delivered fast. Let's turn complex data into clarity.
Powered by the Latest Tools & Frameworks
ML Models
- TensorFlow, Scikit-Learn
- Accurate and efficient ML models.
Backend
- Flask, FastAPI
- Stable ML model serving.
Data Engineering
- Python, Spark
- Clean, structured, ready-to-train data.
API Integration
- API Integration, GraphQL
- Easy and fast ML integrations.
Cloud Hosting
- AWS Sagemaker, GCP AI
- Scalable ML deployment environments.
Results
Custom intelligence for real challenges. Let's train models around your unique data.
ML development success rate
Proven Success
with Machine Learning
App Development
with Machine Learning
App Development
Client Challenge:
One of the retail brands offered inaccurate products and poor conversions.
Our Solution:
We recreated their machine learning app with superior recommendation algorithms, real-time data absorption, and model optimization.
Results:
Accuracy increased three times, cart abandonment decreased by 40 per cent, and conversions and customer retention improved significantly with the improved recommendation system.
How Do We Deliver AMachine Learning App Development Excellence?
Discovery & Strategy
Our machine learning app development company establishes business objectives, improves the feasibility of ML, does user research, defines KPIs, and develops a blueprint of the solution.
Architecture & Design
We create scalable data architectures, design ML pipelines, reusable components and long-term maintainable design systems.
Agile Development
We offer sprints, constant feedback cycles and deliver transparently using agile roadmaps.
QA & Testing
To ensure that your app is free of bugs and is successful in the market, our model testing, unit testing, dataset validation, integration testing, and overall device-wide QA are conducted by experts.
Deployment & Ongoing Support
Our machine learning app development company in Australia handles model deployment, A/B testing, performance monitoring, retraining management, error analysis, and regular updates.
Your Trusted Machine Learning App Development Partner
10+ Years Of
Development Experience
7 Pillars has more than ten years of combined expertise in artificial intelligence, data engineering, and machine learning-enabled applications. We have been the catalysts for the transformation of startups, enterprises, and global brands through intelligent, high-performing AI solutions.
Demonstration of Dedicated Service-Specific Teams
Our machine learning engineers, data scientists, UX/UI designers, and quality assurance specialists are highly skilled in providing machine learning app development services customised strictly for ML-driven use cases.
Scalable and Future Ready
Solutions
We have built our systems to be cloud-native, which means they will be able to support the expansion of your business, stay compatible with the latest technologies, and be updated with new training automatically.
Open Communication & Rapid
Pace of Delivery
The use of weekly updates, agile sprints, transparent reporting, and workflow collaboration will ensure clarity and speed in the whole project lifecycle.
Frequently Asked
Questions
Do you support clients who lack prior data being subject to machine learning?
Yes. We assist in the sourcing, data formatting, cleaning, and enrichment. In case it is, we construct data collection pipelines to enable your system to store high-quality datasets to be used in the future to train ML models.
What steps can ensure accuracy in ML models?
We make use of our structured validation, cross-testing, retraining schedules, quality dataset, A/B testing, and continuous monitoring to ensure that every model delivers robust precision in different real-world scenarios.
Are you willing to develop the ML app for the cloud environment?
Yes. We are a fully deployed entity on AWS, Azure, GCP, as well as both private servers and hybrid environments. The safe infrastructure, auto scaling, and monitoring are under the control of our team.
Are machine learning applications offline capable?
Yes. We develop lightweight models which can work partially offline, delivering results using cached predictions, with background synchronisation even in low network connectivity.
Do you make documentation and training on ML applications?
We provide technical documentation, model explainers, workflow instructions, and team training sessions, so that the inner teams can operate and learn to handle the ML system.
What Our Clients Say
About Us
Check out reviews and press mentions. Short and sweet, find out what we do that customers love us.
5.0 RATING
“7 Pillars team is well-versed and experienced in various areas, and they managed and executed the project flexibly and reliably.”
Alicia Hardin
USA
5.0 RATING
“7 Pillars collaborative approach and sense of responsibility were notable strengths, to fill my app with advanced technologies.”
Abdulmohsen Alabra
Saudi Arabia
5.0 RATING
“If I didn’t understand something, they were always open to communicate with me. They delivered on time and stayed on the budget.”
Ashish Mittal
India
5.0 RATING
“They have done a great job with the services they have provided for us. For us, 7 Pillars shined brightly with their professionalism.”
Arthur Kautz
USA
Let's Build Something Great
Together
Partner with us to bring your vision to life.
+61 (42) 108-3277
contact@7pillars.com.au
294A Station Street, 
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