RAG, agents, LLM apps — designed to survive production, not demo. You own the source, the stack, the model choices. No lock-in.
EU-built · GDPR & AI-Act-native
We keep critical systems secure, stable and monitored around the clock — backed by clear commitments.
Six AI capabilities — each one we have already shipped and run ourselves.
Autonomous, tool-using AI that does real work and stays up. Proof: airtime runs autonomous AI agents producing live audio 24/7.
AI that answers from your data — grounded, cited, current (vector search + embeddings), not hallucination. Proof: DeepMEMA, our own retrieval engine, and the MELI assistant.
Chatbots, voicebots, copilots and content generation built into your product. Proof: MEDIAJAM (production GenAI content) and MELI (AI assistant).
The hard part: evals, prompt versioning, guardrails, monitoring and drift control — because we operate our whole portfolio at our own risk.
Data + ML decisioning under pressure. Proof: AITradato (real-time trading AI) and hotiday (pricing AI).
Wire AI into your existing stack via clean APIs — you keep the keys. Mainstream/open stack, documented, no lock-in.
How we work
We run our own AI in production, so we have already solved drift, latency, cost, evals and the 3am page. We will also tell you when NOT to build.
Every build ships with evals, prompt versioning and guardrails — we control drift, latency and cost.
Production observability and on-call — we have already met the failure modes on our own products.
Open/mainstream stack, documented, your source and keys — no black boxes, no lock-in.
Built in the EU with data protection and the AI Act as defaults, not afterthoughts.
AI — straight answers
Most of the time: RAG. If you need answers grounded in YOUR current data (docs, tickets, catalogues), retrieval-augmented generation is cheaper, faster to ship and easier to keep current than fine-tuning. Fine-tuning is for changing the model's behaviour/style, not for feeding it facts. We'll tell you which fits — or that you need neither.
Grounding + evals + guardrails. We retrieve from your trusted sources and cite them, constrain outputs, and run evals so we measure hallucination instead of hoping. In production we monitor it and catch drift early.
Your data stays in your infrastructure / your keys wherever possible. We're EU-built and GDPR-native, and we scope data access to the task. No silent training on your data.
If an off-the-shelf tool solves it, buy it — we'll say so. We build when you need it wired into your own systems, your data, or a workflow no product covers. Honest build-vs-buy is part of the first conversation.
It depends on scope, so we start with a short scoping conversation rather than a guessed number. You get a concrete plan — what to build first, the stack, and the trade-offs — before you commit.
Yes. You own the source and the stack is mainstream/open — no lock-in. You keep the keys and can take it in-house or to another team.
Describe the AI problem and your current stack. We reply within 24h — a real engineer, not a bot.
100 Innovation Blvd
Tech District, Level 4
Melbourne, VIC 3000
