For Business

Building the layer that gives AI emotional intelligence — with you.

We are not selling a device that measures feelings. We are building the layer that adds emotional understanding, reasoning and a grasp of uncertainty to LLMs and agents — and we hand over what that work teaches us, through training, talks and adoption support.

What we can do

Most emotion-recognition AI has moved toward guessing a feeling from a face or a voice. We are headed past that. Not only reading emotion, but holding it as a probability, reasoning from it, and giving it back to a person — the layer that adds those abilities to LLMs and agents is what we call the Affective Intelligence Layer.

The layer itself is still under research. What we can hand a company today is the judgement built up along the way — how to handle uncertainty, how to audit bias, what to delegate to AI and what to keep human. Three engagement forms — training, talks, adoption support — depending on where your organisation stands.

Service menu

Three ways to work with us.

In-house training and workshops

We tailor topic and depth so that the same session can land for executives, managers, engineers, or compliance officers. Formats range from a single 90-minute workshop to multi-session series.

Sample themes

· Risk management in the LLM era (GDPR / EU AI Act primer)
· Design principles for adopting CAI
· Using AI uncertainty in business decisions
· Drawing the line between content AI and user protection

Talks and keynotes

Industry conferences, internal events, association seminars, and public-sector expert panels. We adjust whether to present the research frontier as it is or to distill it into business implications, depending on your audience.

Strongest angles

· Social implementation and ethical boundaries of CAI
· New biases produced by LLMs and the practice of auditing
· AI for Science — cross-disciplinary use cases
· Ways of working and well-being in the generative AI era

Consulting

We accompany teams from the design phase of AI adoption in products or processes — from AI strategy direction, product-spec validation, risk assessment, to governance setup — adjusting engagement to your stage. Monthly retainers and per-project models are both possible.

Common topics

· Design, requirements, and third-party review of AI products
· Internal AI governance and ethics guidelines
· Dataset design and bias-audit framework
· AI strategy for R&D organizations

On pricing

Estimated based on content, scale, and duration

Fees vary with theme, audience size, frequency, preparation time, and required deliverables. Please start with a free 30-minute online consultation so we can align on the challenge and direction. We will then provide a tailored quote. For research collaboration, see also our AI for Science page.

Track record

Where this work has gone so far.

From a corporate research lab to a middle-school classroom — rooms whose starting assumptions could hardly be further apart. With CAI, the question that arrives before the technology is always the same: how far may this be pointed at a person? It simply takes a different shape in each room.

An automotive manufacturer and its central research laboratory

Support for adopting AI technology, and workshops on CAI.
A private-sector company

Support for adopting AI technology, and workshops on CAI.
A national university’s affiliated junior high school

A talk on CAI for students, with an open question-and-answer session.

Initial online consultation

Free (30 min)

Share your challenge and aims. We will discuss whether training, talks, or consulting fits best — or whether a different form would serve you better.

Engagement

Quote on request

After the initial consultation, we provide a written quote and contract. Billing and contracts follow Kansai University's established procedures.