AI-first stack, production-grade
We pick the right model, framework, and infrastructure for your problem. No vendor lock-in — you own everything we build.
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 Claude
- OpenAI GPT-4
- Google Gemini
- Meta Llama
- Mistral
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 & LlamaIndex
- Vercel AI SDK
- Hugging Face
- Guardrails AI
- LangSmith
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 & TensorFlow
- AWS SageMaker
- Weights & Biases
- Vector Databases
- GPU Compute (A100/H100)
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.js
- TypeScript
- Supabase & PostgreSQL
- Vercel & AWS
- Docker & Kubernetes
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, GPT-4 for code, Gemini for multimodal, open-source 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 Models
AI Frameworks
ML Infrastructure
Product Stack
Infrastructure
Data & Evaluation
Already have AI that isn’t working?
We regularly adopt AI products built by other teams. Maybe the model accuracy dropped and nobody noticed. Maybe the prototype worked in a notebook but never made it to production. Maybe inference costs spiralled and there’s no monitoring.
We audit the models, set up proper evaluation and monitoring, fix the critical issues, and establish a sustainable operations cadence. No judgement — just a clear path to production-grade AI.
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