Kili User Workshops

The Role of Expert-in-the-Loop in LLMs and Agentic AI

When, where and how should experts evaluate and correct LLMs and AI agents? Work through it with Kili's product team and your peers.

As LLMs and agents move into production, the hard question is no longer whether experts stay in the loop. It is where they add the most value, and how their judgement is captured.

This invitation-only program brings Kili's customers and our product team into the same room. Each session opens with a short keynote on where Kili is heading, followed by a hands-on workshop on real LLM and agentic AI use cases.

What you'll get:

Real use cases: see how other teams put experts to work alongside LLMs and agents
Peer exchange: compare approaches with teams facing the same problems
A say in the roadmap: test new features early and tell our product team what to build next
Time with solution engineers: bring your questions about your own setup

The program ends with a report on what we learned, so the work keeps going after the sessions.

Request your place

Places are limited. We confirm every request within 2–3 business days.

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Testimonials

Trusted by teams around the world

Trusted by data scientists, subject matter experts, and annotation teams to build high-quality, expert-level datasets securely.

I have been using Kili for 6 months now on a wide range of labeling use cases (both in computer vision and natural language processing). The stability offered by the tool is essential when you have tight deadlines and large volumes of data to annotate. Our team of over 1000 workers is accustomed to the tool, we were able to easily integrate our workforce management tool with Kili with the SSO functionality.

Seraphin G, G2 Reviewer

Kili is a powerful and easy-to-use tool for data labeling and annotation. The interface is user-friendly and offers several interesting features. The customer support team is also responsive and helpful.

Beatrice D, G2 Reviewer

Software to engage both labelers and business lines in the necessary but tedious task of labeling and annotation, served by a dedicated team to listen to your problems.

G2 Reviewer

Thanks to the fact that our AI infrastructure now includes Kili Technology, we can use the tool for all kinds of projects... LCL teams can accelerate drastically the creation of their training datasets, which means a significant improvement for all the parties involved.

Axel Cypel, AI Expert at LCL

With the choice of Kili, we are much more confident about the future. We decided to eliminate a large part of the technical debt by choosing a solution that will be perfectly mastered across a whole range of data science and AI projects.

Phileas Condemine, Data Science Lead at Covéa