- InventivAI
- Featured Insight
Leader in AI-First Product Engineering Read Full Article
- About
- Services
IT Managed & Outsourcing - Industries
- Portfolio
- Resources RECOMMENDED BlogsView All Blogs
-
Contact Us
Leader in AI-First Product Engineering Read Full Article IT Managed & Outsourcing Contact Us
Appinventiv delivers production-ready, sovereign and secure Artificial Intelligence solutions engineered for Australia’s unique legal and security landscape. As an accredited provider on the QLD Government ICT Services Panel (ICTSS.1303B) and the Federal Digital Marketplace (DTA), we build defensible AI architectures that align with the Australian cyber security standards.
Appinventiv is a governed AI development company in Australia with over 11 years of APAC delivery experience, a team of 1,700+ engineers and data scientists, and 3000+ digital and AI-powered solutions deployed across Australian Mining, Finance, Healthcare, Agriculture, Logistics, and Government.
Our AI Delivery Focus
Our AI Engineering Expertise
in Numbers
Years of APAC Delivery Experience
Tech Experts, Data Scientists & AI Engineers Onboard
Enterprise AI Integrations Completed
R&D Tax Incentive Documentation Support
AI Prediction Accuracy
Security Compliance SLAs
Custom AI-Powered Solutions Delivered
Industries Revolutionised with AI-Powered Automation
Our Services
Our artificial intelligence consulting services help businesses identify where AI creates genuine commercial value, structuring realistic implementation roadmaps that satisfy both board and regulatory expectations.
We design generative AI systems that streamline workflows without exposing your organisation to uncontrolled data leaks or reputational risks.
We engineer scalable, production-ready predictive models that handle fragmented data estates typically found across the Mining, Energy, and Finance sectors.
We implement Retrieval-Augmented Generation (RAG) architectures that unlock enterprise data while preserving full sovereignty and absolute privacy.
We design scoped AI agents with tightly defined responsibilities, ensuring intelligent automation always retains appropriate human oversight and transparency.
We architect AI-native products from the ground up to withstand production loads, security scrutiny, and long-term enterprise ownership.
We engineer visual AI solutions for inspection and quality control where accuracy is non-negotiable and operational safety is paramount.
We embed robust cybersecurity mechanisms into enterprise environments to protect critical infrastructure against AI-specific attack surfaces.
We establish practical governance frameworks that support accountability and long-term operational control for APRA-supervised and ASX-listed entities.
We specialise in safely embedding modern AI models into ageing infrastructure, turning siloed operational data into active business intelligence.
We build intent-driven conversational interfaces that handle local terminology while ensuring absolute adherence to consumer disclosure laws.
We build robust models grounded in geographical reality, trained specifically on unique local environmental and regulatory data sets.
We partner with enterprises to re-engineer business processes, modernise operational models, and convert AI concepts into core commercial capabilities.
We mitigate organisational friction by implementing structured change management frameworks that upskill workforces, foster AI literacy, and drive organic tool adoption.
QLD Government ICTSS.2403 ICT Professional Services Arrangement - final approval stage.
Appinventiv Software is a Local Buy LGA LB308 Arrangement ICT Solutions, Products, Services & New Technologies
Appinventiv Software is an approved ICTSupplier to the Australian Digital Transformation Agency (DTA)
QLD Government ICTSS.2403 ICT Professional Services Arrangement - final approval stage.
Appinventiv Software is a Local Buy LGA LB308 Arrangement ICT Solutions, Products, Services & New Technologies
Appinventiv Software is an approved ICTSupplier to the Australian Digital Transformation Agency (DTA)
We work with Australian enterprises to assess AI readiness, manage risk, and design systems that stand up to operational and regulatory scrutiny.
Gurushala faced a massive content bottleneck. Manually tagging thousands of educational questions with the correct subject, grade, and topic was slow, inconsistent, and hindered the platform's ability to offer personalised learning paths to millions of students.
We engineered a custom AI-powered Question Tag Generator using advanced NLP. The system was designed to instantly analyse the context of a question and assign precise metadata tags, automating what was previously a manual editorial task.
MyExec saw how small businesses often struggle to access practical, data-driven advice but couldn't afford costly consultants or complex analytical tools.
We developed an AI platform using a multi-agent RAG architecture that analyses business documents and delivers personalised, actionable recommendations for complex decisions.
MUDRA, a budget management app, faced the issue of existing tools being either too complex or too generic. This left users without actionable insights into their daily expenses.
We built Mudra, an AI-powered, chatbot-driven budgeting platform that simplified expense tracking and encouraged better financial behaviour through conversational interaction.
Low user engagement, a cluttered interface, and poor onboarding were impacting app adoption and booking conversions in a highly competitive airline market.
We rebuilt the mobile application with a streamlined UI/UX, integrated an AI-powered chatbot to simplify bookings, and implemented a scalable DevOps setup informed by market insights.
JobGet faced a significant hurdle: the blue-collar sector was grappling with fragmented platforms and sluggish hiring processes. Many workers struggled to find tailored employment and real-time updates, making job hunting unnecessarily complicated.
We built a dedicated employment portal that ensured simplicity, speed, and accessibility. This platform streamlined job discovery, applications, and communication, effectively removing the typical friction points in hiring.
Vyrb faced the challenge of limited social media interactions on wearable devices, as traditional apps weren't optimised for audio-first communication.
We built Vyrb, an AI-driven, audio-first social platform designed specifically for Bluetooth wearables, enabling hands-free voice messaging without screens.
DTA & QLD Panel Approved: Accredited for Federal and State-level digital transformation.
100% Data Sovereignty: Local AU residency for all model weights and training datasets.
FORGAT Governance: A multi-disciplinary delivery model focused on risk, audit, and technical excellence.
Industry-Native Logic: Specialised AI deployments for Mining, Finance, and Energy sectors.
Investment rangeAUD 70,000 – 150,000
AUD 70,000 – 150,000
AUD 500,000 – 700,000+
Timeline3–6 months
6–10 months
10–18 months
Typical use caseValidate ROI on a single AI use case with production-grade data
Custom ML model + API integration
Full-stack AI, MLOps & audit readiness
Compliance scopeBasic APPs alignment; data handling review
APP full compliance; APRA or SOCI Act alignment
AS ISO/IEC 42001:2023; CPS 234/230; SOCI; NDB-ready
Suitable forInnovation teams, CDO pilots, R&D Tax Incentive documentation
ASX-listed mid-market enterprises, fintech, healthcare
APRA-supervised entities, critical infrastructure, government
R&D Tax Incentive43.5% offset eligible – we provide audit documentation
43.5% offset eligible – full hypothesis tracking
43.5% offset eligible – full lifecycle documentation
Digital ID Act 2024 (Cth)
Online Safety Act 2021 (Cth)
Security of Critical Infrastructure Act 2018 (SOCI Act)
Essential Eight Maturity Model (Australian Cyber Security Centre – ACSC)
APRA CPS 234
ACCC AI
Information Security Manual (ISM – Australian Government)
APRA CPS 230
AI Ethics Principles (Australian Government, 2019)
NSW Artificial Intelligence Assurance Framework Risk-based AI for public-sector systems
Organisation for Economic Co-operation and Development (OECD)
European Union Artificial Intelligence Act (EU AI Act) Risk classification for AI systems
Institute of Electrical and Electronics Engineers (IEEE) P7000 Series
National Institute of Standards and Technology (NIST) AI Risk Management Framework
ISO/IEC 27001
ISO 9001
CMMI Level 3 (Capability Maturity Model Integration)
AS ISO/IEC 42001:2023 – Artificial Intelligence Management Systems (AIMS)
Digital ID Act 2024 (Cth)
Online Safety Act 2021 (Cth)
Security of Critical Infrastructure Act 2018 (SOCI Act)
Essential Eight Maturity Model (Australian Cyber Security Centre – ACSC)
APRA CPS 234
ACCC AI
Information Security Manual (ISM – Australian Government)
APRA CPS 230
AI Ethics Principles (Australian Government, 2019)
Organisation for Economic Co-operation and Development (OECD)
European Union Artificial Intelligence Act (EU AI Act)
Institute of Electrical and Electronics Engineers (IEEE) P7000 Series
National Institute of Standards and Technology (NIST) AI Risk Management Framework
ISO/IEC 27001
ISO 9001
CMMI Level 3 (Capability Maturity Model Integration)
AS ISO/IEC 42001:2023 – Artificial Intelligence Management Systems (AIMS)
Our AI delivery model embeds governance from design through deployment. With 99.50% security compliance SLAs, we focus on explainable decision logic, controlled model behaviour, and auditable workflows. This approach supports regulatory review while enabling AI systems to operate reliably in enterprise environments.
We prioritise Australian data sovereignty by deploying AI models within AU-hosted cloud regions and private environments. This ensures full alignment with the Security of Critical Infrastructure Act (SOCI) and the 2026 National AI Plan. By maintaining local residency for proprietary datasets and model weights, we protect Australian enterprises from foreign data dependencies while ensuring low-latency, high-security operational performance.
We have delivered 300+ AI-powered solutions, including 150+ custom AI models and 50+ bespoke LLMs fine-tuned for enterprise use. These systems support real operational workflows rather than isolated experiments, helping organisations improve decision quality while maintaining ownership and control.
In our 11+ years of APAC delivery experience, we have deployed 3000+ digital assets, supported by 5+ agile delivery centres. This local presence enables collaboration aligned with Australian business hours, and long-term platform support, contributing to a 90% client retention rate.
Enterprises working with us typically report 35% efficiency gains, 75% faster decision-making, and 98% prediction accuracy across production AI systems. Delivery models also support up to 10x faster time-to-market and an average cost reduction of 40%. We back our engineering with 99.50% security compliance SLAs, ensuring that controlled automation consistently meets the rigorous uptime and safety standards required by regulatory bodies.
Our AI engineering process is designed to help partners maximise the 43.5% R&D Tax Incentive. We provide the technical hypothesis tracking and audit-ready documentation required to substantiate claims for experimental machine learning and NLP research. This structured approach allows businesses to significantly offset the net cost of custom AI development while maintaining a rigorous, evidence-based delivery lifecycle.
Proven expertise in enterprise AI, ML, NLP, cloud and data engineering
Compliance-led AI delivery aligned with APP and audit expectations
Recognised as a leader in AI development and digital transformation by ET
Ranked among APAC high-growth companies by Statista, ET & FT
The India's Fastest-Growing Companies 2026 Recognised by TIME and Statista
Statista High Growth Companies APAC - 2026
Statista India's Growth Champions 2023
We embed machine learning into predictive analytics, forecasting, and risk-modelling services delivered for Australian enterprises, where models must remain interpretable, monitored, and suitable for use in regulated operating environments.
We integrate generative AI within product engineering, internal tooling, and R&D automation services, supporting organisations that require controlled generation and IP protection over how models interact with enterprise data.
We design conversational AI systems that understand intent, adapt to tone, and recognise when human intervention is required. These solutions ensure automated interactions remain auditable, compliant, and aligned with data protection and accountability expectations.
We deploy agentic AI as part of workflow orchestration and automation services, enabling AI agents to manage multi-step processes under defined rules, audit controls, and operational oversight common in enterprise settings.
We implement RAG architectures within enterprise AI platform development, combining large language models with secure internal knowledge bases to deliver responses grounded in organisational data and compliant with data handling expectations.
We embed intelligent RPA into business process automation services, integrating bots with enterprise systems to automate repeatable workflows while supporting logging, exception handling, and compliance review.
We apply computer vision within inspection, monitoring, and quality-control services used across mining, manufacturing, and infrastructure environments, where accuracy and reliability matter more than experimental capability.
We integrate NLP into enterprise search, document processing, and customer interaction platforms, supporting semantic analysis and intent classification within governed data environments used by organisations.
We embed data science into analytics and AI platform services, implementing ETL pipelines and data lakes using platforms such as Snowflake and Databricks to support reporting, forecasting, and operational insight.
We deploy edge AI within real-time AI solutions for environments where latency, connectivity, or data locality constraints apply, including industrial and field-based operations common across the nation.
We apply sentiment analysis within customer analytics and feedback management services, enabling organisations to interpret customer intent across digital channels while maintaining appropriate data controls.
We apply sentiment analysis within customer analytics and feedback management services, enabling organisations to interpret customer intent across digital channels while maintaining appropriate data governance controls.
We integrate explainable AI into decision-support and risk-sensitive systems, ensuring outputs can be reviewed, justified, and defended during audits or operational review.
We embed green AI considerations into AI architecture and cloud optimisation services, supporting energy-efficient workloads and sustainability objectives increasingly expected by boards and regulators.
We integrate MLOps into our artificial intelligence development services to manage model training, deployment, monitoring, and retraining, supporting stable and auditable AI operations over time.
We embed AI into software development lifecycle services to support code analysis, test generation, defect prediction, and release validation within controlled enterprise delivery pipelines.
Our Enterprise AI Engineering Focus Areas
Secure and Scalable AI Architecture
Data-Led Decision Intelligence
Model Governance and Lifecycle Control
Secure AI Integration Across Systems
We work with business, IT, and risk stakeholders to define objectives, constraints, and success criteria before any technical decisions are made. This stage examines operational context and data availability expectations relevant to enterprises, producing a delivery scope that prevents misalignment later.
We assess data sources for quality, sensitivity, accessibility, and adherence with data protection and data residency requirements. This step identifies gaps, dependencies, and limitations early, helping organisations determine whether AI is viable, what outcomes are realistic, and how data must be governed throughout the system lifecycle.
We design AI architecture around deployment context rather than experimentation. Model selection, data flows, integrations, and decision logging are defined to support explainability, audit review, and system stability, ensuring AI components fit existing enterprise platforms and regulated operating environments.
Our teams develop AI models and integrate them into enterprise systems using controlled development practices. This includes versioned training, validation, and API-level integration with existing workflows, ensuring AI capabilities enhance operations without disrupting security, or system reliability.
Testing focuses on more than accuracy. We validate model behaviour, error handling and bias exposure under real operating conditions. This ensures AI outputs remain defensible, predictable, and appropriate for use in production decision-making environments.
AI systems are deployed through controlled rollouts aligned with business risk. Post-deployment, we support monitoring, retraining, and optimisation to manage drift, performance changes, and compliance obligations, helping organisations retain long-term control over AI systems.
The cost to develop AI software development solutions typically ranges between AUD 70,000 AUD and AUD 700,000. The overall cost of software development in Australia is impacted by various factors, including the complexity of the app, features to be integrated, tech-stack used, location of the hired AI automation agency, etc.
On average, businesses can expect the following investment ranges:
Discuss your project vision with the best AI development company to get a custom quote now!
The time frame to build an AI app depends on its overall complexity and scope. For example, a highly complex AI-based software or app with an extensive feature set can take around 10 to 18 months. On the other hand, a simple solution with fewer features can be developed within 3 to 6 months. Each project timeline is tailored to meet specific requirements and the unique challenges faced during its development.
When you hire an experienced AI app development company, you gain access to a dedicated team that follows a structured development process, which ensures timely delivery and aligns every stage of the project with your business goals, accelerating your go-to-market timeline while maintaining high-quality execution.
In order to hire the best AI company, it is crucial to consider their proficiency in essential AI technologies like Machine Learning, predictive analytics, Natural Language Processing, etc.
You should also assess the track record of your chosen AI Agency by examining their successful projects to determine if they can provide solutions tailored to your business requirements.
Additionally, the experience of an AI software development company and their client testimonials can offer valuable insights into their capacity to manage projects similar to yours.
Security is built into our AI projects from the earliest design stage, not added later as a control layer. For AI development services, in Australia, we apply security-first engineering practices that align with APPs, ISO 27001–governed controls, data encryption techniques, and enterprise cybersecurity expectations.
Our teams secure AI development solutions across data handling, model development, and deployment. This includes controlled access to training data, encrypted data pipelines, role-based access controls, and secure cloud configurations using AWS, Microsoft Azure, or Google Cloud regions appropriate for organisations.
We also design AI systems to be auditable and resilient. Model behaviour, data flows, and system interactions are logged and monitored so risks can be identified early. Regular security reviews and testing ensure AI platforms remain secure as they scale and evolve in production environments.
At Appinventiv Australia, we first analyse your workflows to comprehend your specific requirements and identify where ChatGPT can add value. Thereafter, we craft a custom ChatGPT integration strategy to integrate the model into your operational processes seamlessly.
Businesses are seeing strong returns from AI, both in cost savings and revenue growth. Here's where the ROI typically comes from:
As a trusted provider of AI app development services, we’ve seen enterprises achieve measurable ROI within months of deployment, from streamlined workflows and faster decision cycles to improved customer retention and stronger bottom-line growth.
Almost every major industry is now adopting AI to improve decision-making, cut costs, and boost productivity. From mining to healthcare, AI is helping businesses work smarter and stay globally competitive. Some key sectors seeing the biggest impact include:
Being one of the best AI companies, we help businesses across these sectors move from experimentation to measurable impact, turning data into decisions, automating complex workflows, and building intelligent systems that scale responsibly under ethical and regulatory frameworks
We are a top AI development partner, delivering AI development, AI consulting, and AI integration services across major Australian cities and remote regions, including:
Our delivery model supports both metro-based enterprises and organisations operating across distributed and regional environments.
We provide three flexible engagement models tailored to the specific scale and risk profile of enterprises:
