Modern stack, production-grade
From cloud infrastructure and data pipelines to AI models and product tooling — we pick the right technology for your problem. No vendor lock-in.
What we build with
Frontend, backend, AI, and infrastructure — the full stack under one roof.
AI Models & LLMs
The right model for every task — not just the one with the most hype.
- Anthropic ClaudeHow we use it →
- OpenAI GPT-5How we use it →
- Google GeminiHow we use it →
- Meta LlamaHow we use it →
- MistralHow we use it →
Our approach: Model selection based on accuracy, cost, latency, and privacy requirements. Multi-model routing for cost optimisation.
AI Frameworks
Production tooling for agents, RAG, evaluation, and orchestration.
- LangChain & LlamaIndexHow we use it →
- Vercel AI SDKHow we use it →
- Hugging FaceHow we use it →
- Guardrails AIHow we use it →
- LangSmithHow we use it →
Our approach: Framework-agnostic — we use what fits your architecture and team’s ability to maintain it.
ML Infrastructure
Training, serving, and monitoring at scale.
- PyTorch & TensorFlowHow we use it →
- AWS SageMakerHow we use it →
- Weights & BiasesHow we use it →
- Vector DatabasesHow we use it →
- GPU Compute (A100/H100)How we use it →
Our approach: End-to-end ML pipelines from data prep through training, evaluation, deployment, and monitoring.
Product Stack
Modern, fast, and AI-friendly product infrastructure.
- React & Next.jsHow we use it →
- TypeScriptHow we use it →
- Supabase & PostgreSQLHow we use it →
- Vercel & AWSHow we use it →
- Docker & KubernetesHow we use it →
Our approach: AI features integrated into modern web and mobile stacks — not standalone AI tools.
How we build
Model-agnostic
We use whatever model fits the task. Claude for reasoning and agentic coding, GPT-5 for general-purpose breadth, Gemini for multimodal and huge context, open-source (Llama, Mistral) for privacy. No religious wars.
Evaluation-driven
Every model change runs through automated evaluation before deployment. We test accuracy, latency, cost, and safety systematically.
Production-first
Monitoring, guardrails, and drift detection from the first deployment. Not bolted on after the demo.
Your IP, your models
Custom models, fine-tunes, eval suites, and infrastructure — you own everything. No platform fees.
What we build with
Our AI stack spans models, frameworks, infrastructure, and product tooling. We pick the right combination for your problem — not whatever we used on the last project.
AI Frameworks
ML Infrastructure
Stuck with legacy systems or stalled AI?
We regularly take over projects that aren’t working. Legacy platforms that are slow, fragile, and expensive to maintain. AI initiatives that stalled after the demo. Data infrastructure that’s siloed and can’t support the business.
We audit what you have, build a clear remediation plan, and execute. Whether that’s modernising a monolith, fixing a broken ML pipeline, or building the data foundation that makes AI possible. No judgement — just a clear path forward.
Security & compliance
AI Safety & Guardrails
Content filtering, PII detection, bias monitoring, and output validation. Responsible AI built into the architecture from day one.
Australian Data Residency
Your data stays in Australia when you need it to. Australian cloud regions, privacy-compliant model routing, and data sovereignty controls.
Enterprise Security
OWASP compliance, encrypted data at rest and in transit, role-based access, audit logging, and penetration testing.
Model Governance
Version-controlled models, automated evaluation on every change, deployment approvals, and complete audit trails for compliance.
Want to talk technology?
Tell us about your stack and we'll tell you how we'd approach it.
Get in Touch