A person decides, every time
Drafting, prioritising and flagging done manually by whoever is available, at whatever pace one person can manage.
TEZZ · IN TRAINING
Runs inside our platforms. Connected to, never deployed
TEZZ is an internal AI system that runs inside the platforms we build, handling drafting, prioritising and flagging that would otherwise need a person to do manually every time. It runs inside Gigagrams platforms only. Customers connect to it via API, never by deploying it onto their own infrastructure.
It runs on Gigagrams’ own systems; its advanced capabilities are in training. Separately, we take AI projects for clients, built to Gigagrams protocols: zero trust, human in the loop, multi-agent.
THE RANGE OF PRACTICE
What manual work looks like, and what one integrated system looks like
Described by behaviour, not by a score.
One narrow automation, bolted on
A single task automated in isolation, disconnected from the rest of the system and the data it would benefit from.
An AI system reused across the platform
The same underlying system assists multiple workflows, connected to the platform's actual data rather than working in isolation.
STRAIGHT ANSWERS
Questions about TEZZ
The ones that come up when people notice it is not sold as a standalone product.
An internal AI system that runs inside the platforms we build, handling tasks like drafting, prioritising and flagging that would otherwise need a person to do them manually every time. It is currently in training and is not deployed to clients as a standalone product.
No. TEZZ runs inside Gigagrams platforms only. Customers connect to it through an API from within a platform we build, never by deploying TEZZ itself onto their own infrastructure.
Yes. AI projects are built to Gigagrams protocols: zero trust, human in the loop, multi-agent. It answers only when the answer is verified, otherwise it asks a clarifying question; it never guesses. A model built for a client belongs to that client alone and is never trained on another client’s data.
No. A model built for a client belongs to that client alone and is never trained on another client's data. Nothing learned from one account crosses into another.
Building on a Gigagrams platform and want TEZZ involved?
TEZZ is accessed through the platform's own API, not deployed separately. Tell us what you are building and we will scope what it can assist with.