CRAFTECHX Launches AI Service "NEKOTA for kintone" to Transform kintone's Accumulated Data into Business Power
CRAFTECHX Inc. has launched "NEKOTA for kintone," an AI service for Cybozu's kintone. This service aims to transform data accumulated in kintone into business driving force by connecting it to "actions" and "judgments." It offers two initial functions, "NEKOTA Reminder" and "NEKOTA Summarizer," and is recruiting pilot users for the beta version.
📋 Article Processing Timeline
- 📰 Published: April 27, 2026 at 16:48
- 🔍 Collected: April 27, 2026 at 08:01
- 🤖 AI Analyzed: April 27, 2026 at 08:02 (1 min after Collected)
CRAFTECHX Inc. (Head Office: Shinjuku-ku, Tokyo; Representative Director: Shunpei Yamanaka) has begun offering "NEKOTA for kintone," an AI service compatible with kintone provided by Cybozu, Inc.
NEKOTA is a service that connects accumulated kintone data to "actions" and "judgments," transforming it into a driving force for business.
As its first release, it offers two functions: "NEKOTA Reminder" and "NEKOTA Summarizer," and concurrently begins recruiting pilot users for the beta version.
The increasing value of "human-input data" in the AI era
As AI utilization advances in all areas of business, the value of "human-input data" accumulated in kintone is once again drawing attention.
Case information, approval history, daily reports, correspondence records—the data that field staff input into kintone daily is primary information reflecting the actual state of operations. Even in an era where AI generates text and analyzes data, the quality and freshness of this primary information form the basis for business judgments.
However, many companies face the following challenges:
* Input records are left unattended and do not lead to the next action.
* Data is accumulated but does not reach the necessary people.
* Information scattered across multiple applications cannot be grasped transversally.
In other words, a state of "data exists, but operations are stagnant" occurs.
What is "NEKOTA for kintone"?
NEKOTA for kintone is an AI service that operates as a user on kintone. It can be introduced by simply adding one kintone account, and it transforms accumulated data into "reminders that prompt action" and "summaries useful for decision-making."
▼ NEKOTA Reminder — Transforms accumulated data into "actions"
It detects records that match the list conditions of a kintone application and posts an @mention to the target person in a space thread. The notification includes the record's status and the next action to be taken, allowing the recipient to take immediate action. Approval pending, unaddressed, overdue—it identifies "stalled work" from the data entered into kintone, delivers it to the necessary people, and moves operations forward.
▼ NEKOTA Summarizer — Transforms accumulated data into "decision-making material"
AI reads groups of records spanning multiple applications transversally and generates summaries tailored to the reader's position and purpose. From the same data, risks and overall trends are delivered to management, and progress and specific situations to team leaders—information that used to be collected and organized by people is now delivered regularly, simply by specifying the recipient and perspective.
"NEKOTA's virtuous cycle of kintone data utilization"
NEKOTA is not just a notification/summarization tool; it creates a cycle of data utilization.
* Realization that "data is being seen" through the Reminder.
* Visualization that "input leads to decision-making" through the Summarizer.
As a result, the quality and freshness of input naturally improve, and NEKOTA's output becomes even more accurate.
Improved input quality and freshness → Improved NEKOTA output accuracy → Enhanced data value → Further input improvement
From kintone as an "input tool" to a "platform where data grows." NEKOTA is the mechanism that keeps this loop turning.
NEKOTA's AI design
To support this virtuous cycle, NEKOTA clearly distinguishes "where to use AI" and "where not to use AI."
▼ Rule-based for "condition judgment and target person identification"
The foundational parts of operations, such as condition judgment and identification of notification targets, are processed using rule-based logic, not AI.
By combining and utilizing conditions defined in kintone's list (View), the transparency and reproducibility of the judgment logic are ensured, making on-site confirmation and operation easy.
▼ AI for "generating action-oriented posts"
AI is utilized for the part that "generates text that people can understand and act upon."
By reading the status of records and generating notification messages and summaries with context that conveys the next action, it realizes "information that leads to action" which would not arise from merely presenting data as is.
Key features of each function
▼ NEKOTA Reminder
* Target detection based on list conditions: Specifies kintone application lists (Views) as conditions.
* Cross-app conditions: Supports setting conditions across multiple applications.
* Contextual notifications: AI generates post texts including record status and next actions.
* Mention posting to threads: Notifies with @mention in space threads.
* Repeat notifications: Resends at set intervals as long as conditions are met.
* Two-way notification (To+Cc): Notifies not only the target but also CC recipients.
NEKOTA is a service that connects accumulated kintone data to "actions" and "judgments," transforming it into a driving force for business.
As its first release, it offers two functions: "NEKOTA Reminder" and "NEKOTA Summarizer," and concurrently begins recruiting pilot users for the beta version.
The increasing value of "human-input data" in the AI era
As AI utilization advances in all areas of business, the value of "human-input data" accumulated in kintone is once again drawing attention.
Case information, approval history, daily reports, correspondence records—the data that field staff input into kintone daily is primary information reflecting the actual state of operations. Even in an era where AI generates text and analyzes data, the quality and freshness of this primary information form the basis for business judgments.
However, many companies face the following challenges:
* Input records are left unattended and do not lead to the next action.
* Data is accumulated but does not reach the necessary people.
* Information scattered across multiple applications cannot be grasped transversally.
In other words, a state of "data exists, but operations are stagnant" occurs.
What is "NEKOTA for kintone"?
NEKOTA for kintone is an AI service that operates as a user on kintone. It can be introduced by simply adding one kintone account, and it transforms accumulated data into "reminders that prompt action" and "summaries useful for decision-making."
▼ NEKOTA Reminder — Transforms accumulated data into "actions"
It detects records that match the list conditions of a kintone application and posts an @mention to the target person in a space thread. The notification includes the record's status and the next action to be taken, allowing the recipient to take immediate action. Approval pending, unaddressed, overdue—it identifies "stalled work" from the data entered into kintone, delivers it to the necessary people, and moves operations forward.
▼ NEKOTA Summarizer — Transforms accumulated data into "decision-making material"
AI reads groups of records spanning multiple applications transversally and generates summaries tailored to the reader's position and purpose. From the same data, risks and overall trends are delivered to management, and progress and specific situations to team leaders—information that used to be collected and organized by people is now delivered regularly, simply by specifying the recipient and perspective.
"NEKOTA's virtuous cycle of kintone data utilization"
NEKOTA is not just a notification/summarization tool; it creates a cycle of data utilization.
* Realization that "data is being seen" through the Reminder.
* Visualization that "input leads to decision-making" through the Summarizer.
As a result, the quality and freshness of input naturally improve, and NEKOTA's output becomes even more accurate.
Improved input quality and freshness → Improved NEKOTA output accuracy → Enhanced data value → Further input improvement
From kintone as an "input tool" to a "platform where data grows." NEKOTA is the mechanism that keeps this loop turning.
NEKOTA's AI design
To support this virtuous cycle, NEKOTA clearly distinguishes "where to use AI" and "where not to use AI."
▼ Rule-based for "condition judgment and target person identification"
The foundational parts of operations, such as condition judgment and identification of notification targets, are processed using rule-based logic, not AI.
By combining and utilizing conditions defined in kintone's list (View), the transparency and reproducibility of the judgment logic are ensured, making on-site confirmation and operation easy.
▼ AI for "generating action-oriented posts"
AI is utilized for the part that "generates text that people can understand and act upon."
By reading the status of records and generating notification messages and summaries with context that conveys the next action, it realizes "information that leads to action" which would not arise from merely presenting data as is.
Key features of each function
▼ NEKOTA Reminder
* Target detection based on list conditions: Specifies kintone application lists (Views) as conditions.
* Cross-app conditions: Supports setting conditions across multiple applications.
* Contextual notifications: AI generates post texts including record status and next actions.
* Mention posting to threads: Notifies with @mention in space threads.
* Repeat notifications: Resends at set intervals as long as conditions are met.
* Two-way notification (To+Cc): Notifies not only the target but also CC recipients.