Insights

Proof and perspective

Three published case studies, plus broader examples from the Knobase ecosystem across education, simulation, research, healthcare, and proprietary-data workflows.

Featured use cases

Published case studies

Three deeper write-ups showing how Knobase is being used in real operating environments.

Top-BOSS
Education

AI-native business simulation across 100+ universities worldwide.

AI teaching assistants, domain-specific agents, and one-click round analysis made business simulation faster to interpret and easier to teach at scale.

LLM Infrastructure

Read case study
The Harbour School
K-12

From repetitive school questions to a richer understanding of the community.

The pilot surfaced logistics demand, deeper MUN engagement, prompt-quality insights, and safeguarding signals that helped the school act faster and more deliberately.

Personalized learning

Read case study
The University of Hong Kong
Research

Empowering social science research with custom AI agents for educator mental wellness in Hong Kong.

Custom agents aligned with research protocols help the team engage educators at scale while supporting insight into wellbeing and stress in a high-trust environment.

Wellbeing research

Read case study

Broader proof

More real deployments across the ecosystem

These examples come from the same broader Knobase story: institutional knowledge, serious workflows, and AI systems grounded in real operating context.

Talos Medical

Healthcare / MedTech

Doctor co-pilot proof of concept across MRI, CT, and clinical data.

MyMasters

Retail / Forecasting

Turning ten years of proprietary sales data into AI-supported demand forecasting.

Asia-Pacific education pilot

Public sector / Education

Institutional pilot work where governance, policy, and domain knowledge matter as much as model capability.

Internal policy workflows

Internal knowledge

Workflows where proprietary documents and policies define what "correct" looks like.

Have a high-context workflow of your own?

We work with institutions and teams that need AI systems to operate on their own knowledge, standards, and constraints, not generic internet answers.

Talk to us