teachbot
Personal tutor? In your pocket? Our very first education programme: English and Maths for the UK national curriculum, on a handheld PDA. Light years before tablets!
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Elzware builds conversational AI that’s generative where it helps, and governed where it matters.
Building conversational AI since 2002.
We’re clear about what a system is allowed to do, so what it can do can go further.
Domain knowledge, process, permissions and the actions a system may take. Written down, testable and traceable. This is where authority lives.
Language models and other learned capability, including our own. Creative, adaptive and genuinely useful, contributing wherever the design allows it.
We’ve worked with conversational AI from its first steps to its maturity, and evolved alongside it. That’s why we can be pragmatic now: we know where it shines, and where it needs a frame.
We weigh every build on its costs and benefits for culture, the economy and society. Ethical AI isn’t a brake on success. Over the long term, it’s the reason for it.
What makes our builds succeed
Serious systems for serious sectors, and room for the experimental.
Personal tutor? In your pocket? Our very first education programme: English and Maths for the UK national curriculum, on a handheld PDA. Light years before tablets!
Funny? Disturbing? Chat with an AI… through a human. A live show, performed 100+ times across the UK and Europe, that gets everyone talking about their relationship with AI.
Stuck for ideas? Talk it through. A training system that listens, responds with empathy, and helps people find their creativity.
Seven quick questions, about a minute. A good way to find out before anyone’s time is spent.
This conversation is fully declared. Every line Elzware says here was written in advance. Nothing is improvised by a model, which is rather the point.
Question 1 of 7
Not an exhaustive list. Just the ones we hear most, and enjoy answering.
A focused prototype on your real conversations, then a pilot with real users, with the measures of success agreed before we start. You see impact early, and decide on evidence whether to scale.
It depends on the stakes. Where an answer must be right, or an action must be permitted, we declare it. Where flexibility helps, generative models do the work. We draw that line with you, conversation by conversation.
Good conversation is about respect, not just chat bubbles. We design for the people actually on the other end, and test with them.
Declared behaviour is written down, testable and traceable, so you can show an auditor, a regulator or a customer why it said what it said. Responsibility is designed in, not added afterwards.
Often, yes. Pilots usually stall on trust: answers that can’t be guaranteed, or actions nobody will sign off. Declaring those parts is what gets a pilot to production.
Usually. Our architecture puts the governance around the model, so the generative part can be ours, yours or a vendor’s.
Wherever it needs to, for the places you operate. Your data, content and conversations stay yours. We can design for hosting in the UK, the EU or another region, or on your own infrastructure, to meet the data protection rules that apply to you and your users.
Models change and so does your business. We design for maintenance, governance and growth, not just launch day, and can stay with you to run it.
Sophisticated AI, built so you stay in control: owned by you, clear in its authority, and open to everyone who uses it.
Who a system works for, and what it’s allowed to do, are design decisions. We make both on purpose, from the first prototype.
Data, content and models stay owned by you. Self‑sovereign by design, not by policy.
What a system may know and do is written down, not left to a model.
Every answer and action can be explained: which rule, which source, which permission.
Built for everyone who’ll use it, from the first prototype.
All of that was to make you think.
If you thought “cool”, get in touch.
If you thought “interesting”, thanks, glad it helped.