Slicify builds purpose-built AI products and platforms — from Fango, our multi-use-case community engagement platform, to bespoke enterprise builds. Live in weeks, not months.
The tools are everywhere. The vendors are loud. And the decisions — which model, what structure, who owns it, how you govern it — are genuinely hard. Most organisations are making these calls without the experience to back them up.
Get advice from people who knowThe AI model landscape changes weekly. Choosing wrong means overpaying by 5–10× or getting results that don't deliver. Most vendor advice is self-serving.
AI needs new roles, workflows, and decision-making processes. Organisations that bolt it on struggle. The ones winning have built around it deliberately.
Without clear AI governance — data use, model oversight, output quality — you're exposed to risk you can't see yet. Regulation is catching up fast.
Grant and Merryn have been building and deploying production AI systems since 2011. Before the hype. Before the tools were easy. They've seen what works, what wastes money, and what organisations get wrong — and they can help you make better decisions, faster.
Which models actually fit your use case — and how to dramatically cut costs by using the right one for the job, not the most expensive one.
How to build the right team and decision-making process around AI — roles, ownership, workflows, and where to start without boiling the ocean.
Data use, model oversight, output quality, and regulatory readiness. Build the policy foundations before a problem forces your hand.
When to use off-the-shelf tools, when to build, and when Fango or a custom Slicify application is the right answer. Honest advice, not vendor pitch.
Between them, more than two decades of production AI experience — from founding and scaling Straker.ai to an ASX IPO, to deploying AI systems across dozens of organisations globally. They work with leaders who want to make the right calls on AI, not just the obvious ones.
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Fango is our flagship product — a multi-use-case AI engagement platform ready to deploy today. Slate is Fango applied to real estate. Custom builds are Fango applied to your world.
WhatsApp-powered AI that answers member questions, sends broadcasts, manages groups, and runs competitions — across sports clubs, events, schools, fitness communities and more.
See how Fango worksHandles leads, vendor comms, calendar, CRM, and admin across the full listing lifecycle — from acquisition through to post-settlement follow-up.
See how Slate worksWe scope, design, and ship AI applications tailored to your specific workflows — from customer-facing agents to internal automation. Built on the same platform as Fango and Slate.
Start a projectWe've productised the build process for AI applications. No six-month discovery phases, no bloated project teams. We scope fast, build fast, and get you to measurable results fast.
Tell us what you're buildingWe map your workflows, identify the highest-value AI intervention points, and agree a scope with clear success metrics.
We build on the Slicify platform — reusing the AI core, conversation engine, memory, and integration layer already proven in production.
Live on your infrastructure. We run your team through the system and tune the AI on real data from day one.
Monthly sprints that improve accuracy, add capability, and expand to new workflows as confidence builds.
One platform, many use cases. Fango puts an AI engagement agent in any community's pocket — answering questions, sending broadcasts, running events, and keeping members connected, 24/7 over WhatsApp.
Answers member questions instantly — training times, event details, membership info, results — without a human in the loop.
Send personalised updates to every member in seconds. Fixtures, announcements, renewals — delivered and tracked automatically.
Run predictions, polls, and competitions inside WhatsApp. Manage events, registrations, and results from one dashboard.
Segment members into squads, age groups, supporter tiers, or locations. Each group gets its own AI-managed channel.
Every public AI service trains on your prompts. We build small, purpose-built language models fine-tuned on your knowledge — deployed on infrastructure you control, with zero third-party data exposure.
Talk about a custom modelYour data never leaves your environment. Trained, hosted, and run on infrastructure you control.
Fine-tuned on your knowledge base, documents, and processes — the AI understands your business.
Small language models purpose-built for your domain — faster, cheaper, and more accurate than generic AI.
Know exactly what your AI knows and why it responds the way it does. Complete transparency.

Building AI since before it was the thing to do. Co-founded Straker.ai in 2009 and took it to an ASX IPO in 2018 — one of the first companies globally to productise neural machine translation at scale. Now helping organisations make the right AI decisions: which models to use, how to structure for it, and where to invest to get measurable outcomes in weeks, not years.

At the forefront of production AI since 2011 — long before the current wave. As COO of Straker.ai she has overseen global AI product teams, dealt with real-world governance challenges, and built the organisational structures that make AI actually stick. If your organisation is trying to figure out how to run AI responsibly, at scale, without it becoming shelfware — Merryn is the person to talk to.

15+ years across technology from start-up to ASX-listed. Guides strategy and delivers better processes and products.

11+ years building production systems. Owns features end-to-end — system design, APIs, deployment.

Builds production AI systems and modern web apps. LLM integrations, data processing, and AI training initiatives.
Mechanical engineering student at Canterbury. Puts new agents through their paces before they ship.
Try Fango with your community, or tell us what you're trying to solve — we'll get you to measurable results in weeks.