We help you go from AI idea to working prototype in weeks — built lean, built smart, and ready to demo to investors or users.
We partner with ambitious businesses to build powerful digital products that solve real problems and drive growth.
Lean AI Prototyping
Working models fast, without over-engineering.
Fast Time-to-Market
From whiteboard to working product in weeks.
Investor-Ready Demos
Polished enough to show, functional enough to prove.
Started as an AI MVP to validate workflow automation — now a full production platform.
Rapid ed-tech MVP built to validate AI-personalised learning before full product investment.
Lean MVP that proved the concept before scaling to a fully featured recycling platform.
Lean booking MVP validated market demand before building the full platform.
3 Weeks
Average MVP Delivery
90%
MVPs That Secured Funding
18+
AI MVPs Shipped
0 to 1
Idea to Working Product
We stress-test your concept with a technical feasibility review and market lens before committing to build.
We strip it back to the core AI value — only what's needed to validate the hypothesis.
Focused sprints with daily progress. You see momentum, not just standups.
We ship it, gather real feedback, and help you decide what to build next.
We stress-test your concept with a technical feasibility review and market lens before committing to build.
We strip it back to the core AI value — only what's needed to validate the hypothesis.
Focused sprints with daily progress. You see momentum, not just standups.
We ship it, gather real feedback, and help you decide what to build next.
18+
AI MVPs launched and validated with real users.
3 Weeks
Average time from kick-off to working AI demo in front of stakeholders.
90%
Of our AI MVPs progressed to a full product or secured funding.
The questions we get asked most — answered honestly.
Not usually. Most AI MVPs use pre-trained models — OpenAI, Anthropic, Google — with your specific prompts and workflows layered on top. Custom training data is only needed for highly specialised, domain-specific use cases.
We'll tell you in the discovery session — for free. We assess feasibility before you commit to anything, including honest expectations about output quality, cost, and current AI limitations.
It depends on the use case. We work across OpenAI, Anthropic Claude, Google Gemini, and open-source models like Llama. We recommend what's right for your requirements — not what's cheapest or most popular.
A deployed, usable product — not a Jupyter notebook or a slide deck. You'll have something your team, users, or investors can actually interact with, give feedback on, and evaluate against the original hypothesis.
Choose the engagement model that fits your team, timeline, and goals. Every model comes with full Australian accountability.
Hand off your entire project to Probits — from discovery and architecture through to launch and post-go-live support. We manage the team, timeline, and technical decisions end-to-end.
Best for
Startups & businesses launching a new product
Plug Probits engineers directly into your existing workflows. They work in your tools, attend your standups, and operate as a seamless extension of your in-house team.
Best for
Teams that need extra capacity fast
Get a dedicated squad — developers, QA, and a tech lead — focused exclusively on your product. Ideal for companies building long-term with a consistent, high-performing team.
Best for
Scale-ups building continuous product development
