Enterprise AI Development & LLM Integration Services
We build production-grade AI agents, custom ML models, and retrieval-augmented generation (RAG) pipelines engineered for high accuracy, data privacy, and measurable business ROI.
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Tell us what you’re looking to build, improve or solve. We’ll get back to you within a few hours, often within minutes.
AI development has a credibility problem right now, mostly earned. A lot of “AI features” shipped over the last few years were a thin wrapper around an API call, with no real thought given to accuracy, cost at scale, or what happens when the model gets something wrong in front of a customer. Software Co builds AI features and products for businesses in Sydney, Melbourne, and across Australia the way we build any other software, scoped properly, tested properly, and architected to handle the cases where AI genuinely helps rather than the cases where it just sounds impressive in a pitch.
We’ve built AI-assisted healthcare features as part of AI Medic, a platform providing AI-assisted care support, which meant getting the reliability and evaluation side right, not just the impressive demo side. That is the standard we apply to AI work generally, since the gap between a good AI demo and a good AI product is usually the part nobody shows in the demo.
Why Australian Enterprises Partner With Software Co for AI
Most AI projects fail for a specific reason, not because the model was not capable enough, but because nobody scoped what “working well enough” actually meant before development started, or what should happen when the AI gets something wrong. We treat that scoping as part of the actual engineering work, not a philosophical discussion to have after the build is already underway.
Production AI Infrastructure & MLOps Stack
Foundation Models & Vector Stores
Integrate industry-leading generative AI models and high-throughput vector infrastructure into your products. We engineer solutions leveraging OpenAI, Anthropic Claude, Llama 3, and specialized open-source models, paired with enterprise vector databases including Pinecone, Qdrant, and Milvus for fast semantic retrieval.
MLOps & Model Monitoring
Maintain operational visibility over your production AI assets. Our MLOps frameworks monitor latency, token usage costs, response quality, and data drift in real time. Automated evaluation pipelines run continuous benchmark tests, alerting your team and triggering rollbacks whenever model accuracy drops below target thresholds.
Data Guardrails & Enterprise Privacy
Protect corporate intellectual property and customer data with zero data retention architecture. We implement strict tenant isolation, input/output sanitization filters, and local Australian AWS or Azure hosting. Your company data is never used to train public foundation models, ensuring complete compliance with enterprise governance standards.
Core Engineering Solutions for Enterprise AI
Our 6-Step Production AI Delivery Process
Discovery & Feasibility
We assess whether AI genuinely fits the problem, what accuracy or reliability the use case actually needs, and what happens when the system gets something wrong, before any development is scoped.
Data & Model Strategy
We work out what data is available, what is missing, and whether an existing model can be used directly or needs fine-tuning or a custom approach for your specific case.
Prototype & Proof of Concept
We build a working prototype against real data early, so the viability of the approach gets tested before full development investment, not after.
Development & Integration
Development runs in short sprints, with the AI component built as part of the product rather than a separate system bolted on afterward.
Evaluation & Testing
We test against real scenarios, including edge cases and failure modes, not just the cases the system was obviously designed to handle well.
Deployment & Monitoring
We deploy with ongoing monitoring in place, since AI system performance can drift over time as real-world data changes, and stay involved to catch that rather than assuming a launched model stays accurate indefinitely.
AI Solutions & Featured Project Showcase
Clinic 1 - All-in-One Practice Management Software
BizCap - Australia’s Most Open-minded Lender
RebateApp - Your Ultimate Rebate Companion
Shoprun - World’s First Livestream Shopping Centre
Fieldr - Productivity, Time Tracking and Task Management
Twine - A New Kind of Match-making
HealthMate - Decentralising Allied Health. Reimagining Care.
AI Medic - AI-assisted healthcare when you need it
Frequently Asked Questions
Do you build custom AI models, or just integrate existing ones like ChatGPT?
Both, depending on what the problem actually needs. Many use cases are well served by integrating an existing large language model properly, others genuinely need a custom model trained on your own data. We recommend based on the actual requirement, not a default approach.
Will the AI make mistakes, and how do you handle that?
Will our data be used to train a model, or kept private?
How much does an AI development project cost?
How long does an AI project take?
Do you support the AI feature after launch, or is it a one-off build?
Is AI actually the right solution for our problem, or do we just need standard software?
Where is Software Co based?
Is the first consultation free?
Let’s Work Together
Have a project in mind? We’d love to hear about it. Let’s create something great together!
Let's Connect!
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