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UNCHAIN Unleashes NEURON: From Reading AI to Actionable AI

UNCHAIN, a company based in Shibuya, Tokyo, has made an exciting announcement regarding its project management AI tool, NEURON. The beta version of its next-generation framework has been completed, and the company is now inviting businesses to participate in a Proof of Concept (POC) to explore its capabilities. This sweeping upgrade allows NEURON to not only identify risks from team discussions but also to suggest actionable responses.

Development Background: Transitioning from 'Reading AI' to 'Actionable AI'

Previously, NEURON functioned as a 'reading AI' that extracted essential information from platforms like Slack and Notion, pinpointing risks based on team decisions. As its user base expanded, valuable feedback emerged. Clients appreciated the identification of risks but sought more than insights—they desired recommendations for addressing these risks to be directly integrated into project management platforms like Jira or Asana. This indicated a clear need for an AI that could not only manage information but also propel business operations forward.

Safely Implementing 'Actionable AI' Through Ontology Framework

However, entrusting an AI with business operations comes with its own set of challenges. If the design is flawed, it could lead to the creation of irrelevant tasks or unwarranted assignments, disrupting organizational flow. To combat this, NEURON has founded a new ontology-based system that organizes information like a structured patient record. This framework allows the AI to handle relationships based on factual connections rather than speculation, allowing it to ascertain who is the cause of a risk, identify responsible parties, and suggest suitable remedies.

With these structured relationships, the AI operates within defined parameters, providing a secure foundation for delegating tasks and decisions.

Features Available in the Beta Version

Automating Responses to Risks

The AI now automatically proposes response strategies for identified risks. By referencing historical data of similar incidents, it recommends specific action points that teams can implement.

Structured Record Keeping through Ontology

Roles associated with decisions and risks are clearly categorized into three distinct roles: 'Detector,' 'Cause,' and 'Responsible.' This classification minimizes ambiguous responsibility assignments and clarifies role expectations.

Traceable AI Decisions

Every decision and recommendation made by NEURON is documented within the ontology framework. This transparency allows businesses to later understand and explain the rationale behind specific suggestions.

POC Implementation Invitation

Currently, UNCHAIN is seeking businesses to collaborate on the beta version through POC implementation. Companies facing challenges in team decision-making and risk management are encouraged to reach out for this opportunity.

For inquiries, please contact: [email protected]
For more details and applications: the-neuron.com

CEO's Statement

Seonyu Park, CEO of UNCHAIN, remarked:

“Conversations with our clients revealed a desire to move from merely having information organized by AI to utilizing AI for progressing business operations. For businesses to entrust tasks to AI, it's crucial that they feel secure in doing so. NEURON is designed to assure this trust at both functional and structural levels. With the completion of the beta version, we look forward to collaborating with partner companies to refine this product.”

Company Overview

• - Company Name: UNCHAIN Inc.
• - Location: 1-10-8 Dogenzaka, Shibuya-ku, 2F-C Shibuya Dogenzaka Tokyu Building, Tokyo
• - CEO: Seonyu Park
• - Established: July 2025
• - Website: the-unchain.com
• - Contact: [email protected]