Applied AI
Practical AI for real work.
We help organisations choose where AI is worth using, build it into the systems they already run, and keep it accurate after launch. When AI is not the right tool, we say so.
Our method
Kathalysth Catalyst
Every AI engagement follows the same four steps, so you see results early and only invest further when they hold up.
- 01
Discover
We agree the decision or task to improve, and check you have the data to do it.
- 02
Prove
We build a working version on your own data, usually within a few weeks, so you can judge it before investing more.
- 03
Build
We connect it to your systems, test it, and add controls, including human review where mistakes would be costly.
- 04
Run
We monitor quality and cost after launch, and improve or retire the model as your needs change.
Kathalysth is a member of NVIDIA Inception.
What we build
Four kinds of AI system we build most.
- 01
Assistants for your documents
Staff ask in plain language and get answers drawn from your policies, contracts and records, with sources.
- 02
Document processing
Forms, IDs, invoices and images read and turned into data your systems can use.
- 03
Forecasting and prediction
Models for demand, risk, churn and maintenance, built into the decisions teams already make.
- 04
Model operations
Deployment, monitoring and cost tracking, so models stay accurate after launch.
Data residency
Your data can stay where it must.
Some data cannot leave the country, or should not. We can design AI systems that run on infrastructure in your country, under your control, around local data protection law.
- 01
In-country hosting
Models and data hosted in your country, on private or hybrid infrastructure.
- 02
Models you control
Open models you can run and fine-tune yourself, so you are not tied to one vendor.
- 03
Access and audit
Clear rules on who can use what, with every model decision logged.
- 04
Retention by design
Data kept only as long as it is needed, and deleted on schedule.
Programmes and recognition
- Kathalysth is a member of NVIDIA Inception.
Questions about AI
Where should we start with AI?
With one task where faster or better decisions are clearly worth money or time, and where you already hold the data. We help you pick it, then prove it on your own data before you commit to more.
Is AI always the right answer?
No. Many problems are solved better by cleaner data, a simpler workflow or ordinary software. If that is the case, we will tell you, and recommend that instead.
Can our data stay in our country?
Yes. We can host models and data on infrastructure in your country that you control, and design access, logging and retention around local law, such as Nigeria's Data Protection Act or the EU's GDPR.
What does it mean that Kathalysth is a member of NVIDIA Inception?
NVIDIA Inception is NVIDIA's program for startups. Membership supports our work in AI and accelerated computing.
Have a task you think AI could handle?
Tell us about it. We will tell you whether AI is the right tool, and how quickly we could prove it.