Cyces is an AI consultancy that builds. We help you figure out where AI actually pays dividends, then help build it with your own people, embedding ourselves as your reliable tech partner.
Or a coffee if you are in town, that works too :)
Our AI Readiness Assessment will tell you where you stand, and where the first dollar should go, before you build anything.
Data plumbing. Internal tools. The workflow nobody wants to own. That is where AI earns its ROI in a mid-sized business, and it is where we spend most of our time.
"We are less interested in what a model can do in a demo, and more in whether it still runs without us."
of institutional data unified into one governed lake.
people on a single platform, live in 90 days.
continents our delivery teams ship across.
Good ideas were stuck inside teams and never reached the people who could fund them. We built one place to post an idea, gather backing and push it toward implementation, across Mitsubishi Fuso in Japan and Daimler India Commercial Vehicles.
Student records, learning management, financial aid, HR and research sat in five systems that had never spoken to each other. We built AC's central data lake, moved them off legacy ETL, set the governance rules, then helped put together a phased AI roadmap which we continue to execute together.
We start by looking at what you already have rather than reinventing the wheel. What you actually need and do not need, before anything gets built.
Your people and your existing tech sit inside the build. Production-grade work on the same foundation we ship our own products on, with evals and governance woven in from day one.
The IP stays yours. Code, prompts, evals, agents, all of it. We train your team to run it, and stay on as your trusted tech partner.
Four products, one shared foundation. Your build sits on the same base, which is why it arrives in weeks and does not fall over in month three.
We price two ways: fixed scope, or a dynamic scope that flexes as the work does. We scope it with you, put both in front of you, and help you pick the one that fits how your team works.
The models will keep changing. The foundation should not. We build on the same data, auth and governance layer our own products run on, so swapping a model is a configuration change, not a stripped rebuild.
We follow standard data security and privacy practice, and we work to the Australian Privacy Principles under the Privacy Act 1988. Exactly where your data sits and who can reach it is agreed in writing before anything is connected.
A working version is in your hands inside the first 30 days. From there we iterate on what your team tells us once they are using it. Picking the right first workflow is the part most people are unsure about.
That is exactly what the AI readiness assessment is for. Take it, then book a call and we will go through where you are and what the first move should be.