DATA × LLM COMPANY

Build the layer beneath AI.

Every AI stands on data. Hexis turns that data into a form company-native AI Agents can actually use.

I·STATEMENT

Every company has data before it has AI. Transactions, operations, exchanges on the ground. Records that accumulate into something only that company holds.

But as it stands, it doesn't reach AI. However smart the model, if the data isn't in order, nothing happens.

We put that data in order. Into a shape AI can reach and use.

Data infrastructure for the AI-native era, with data and LLMs.

II·PRODUCT

A company-specific Agent, without an AI engineering project.

SELF-BUILDING AGENT№ 01
monet

Install monet, and it learns the context of your company before it starts doing the work.

Before committing to an expensive AI consulting or custom development project, connect monet. It learns your internal context and starts as a company-specific Agent without beginning with requirements work, prompt design, or tool wiring.

Open monet LP

monet.hexis.ltd

Don't build the Agent

Skip prompt design and custom implementation as the starting point.

Company-specific from day one

Works against your documents, conversations, and decisions.

Improves in operation

Learns from dialogue and execution, expanding what it can handle.

III·TEAM

Raising organizational knowledge into a single, durable layer.

FOUNDER / CEO & CTO№ 01
Yuri Kurashima
倉島 悠吏

In large-language-model research since 2019, approaching LLMs across computer science, neuroscience, and mathematics. Previously Country Lead at Stanford's voice AI project, Lead LLM Engineer at ELYZA, and Data Engineer at DeNA.

ADVISOR№ 02
Amil Khanzada
Amil Khanzada

Specially Appointed Assistant Professor at the Headquarters for Regional Revitalization, University of Fukui. His work spans social informatics, generative AI, GovAI, and behavioral economics. As representative of Virufy, he leads international research on voice-analysis AI for infectious-disease detection.

IV·NEWS
Hexis — Build the layer beneath AI