'DataSango' Supports AI Utilization — Pre-registration Opens for CRM Data Preparation Service
Mer Inc. has opened pre-registration for 'DataSango,' a service that cleanses and structures CRM data to create a reliable foundation for AI utilization and business automation.
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- 📰 Published: April 14, 2026 at 19:30
- 🔍 Collected: April 14, 2026 at 11:01
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Mer Inc. (Headquarters: 1-10-8 Dogenzaka, Shibuya-ku, Tokyo 150-0043; President and CEO: Tomoaki Sawaguchi; hereinafter 'Mer') announces the start of pre-registration for 'DataSango,' a CRM data preparation service that is a prerequisite for automation and AI utilization.
https://www.datasango.ai/
In recent years, B2B companies have rapidly advanced initiatives for CRM introduction, business automation, and AI utilization. On the other hand, issues have surfaced in the field, such as 'CRM reports cannot be trusted,' 'segments cannot be created correctly,' 'unorganized data continues to flow as a result of automation,' and 'we want to use AI, but are anxious about the quality of the original data.'
Since its founding in 2020, Mer has supported the construction of mechanisms for revenue departments, including marketing, sales, CSCX, and billing management. Also, since 2021, as a domestic Pipedrive master partner, we have been working on supporting CRM introduction and utilization. What has consistently become apparent through this is that the success or failure of tool introduction is determined not by the number of functions, but by whether the data is prepared in a usable state.
Through 'diver,' an external RevOps team provided by Mer, we design the entire business flow with AI in mind and seamlessly support everything from tool selection and implementation to familiarization. In this hands-on support, we have confirmed many cases where the cause of stagnation in AI utilization and automation ultimately comes down to data quality issues. The characteristic of diver is that it starts not only with tool introduction but also with the redesign of business flows, designing 'how much to entrust to AI and tools.'
Especially now that AI utilization is becoming a premise, the problem of data quality is becoming more serious. If AI refers to data with omissions, duplications, notation inconsistencies, or semantic deviations, there is a risk of producing plausible but inaccurate outputs. In fact, in case studies of companies achieving results by combining CRM and AI, the structuring and integration of CRM data are treated as important prerequisites. A Salesforce utilization case study introduced at SaaStr also showed the importance of CRM data serving as a hub as the foundation for utilizing AI agents. Source
Given this background, Mer has been developing 'DataSango.' DataSango is not merely a data cleansing tool, but a service that confronts practical issues such as where the data enters, at what stage inconsistencies and omissions occur, and how to perform name aggregation, supplementation, and conversion to make it 'usable data.' It supports the creation of a data foundation that is a prerequisite for business automation and AI utilization.
Mer has been solving this problem through diver in a hands-on manner. However, in the coming era where AI utilization and automation will become more widespread, it is necessary to create a state where more companies can safely utilize AI and automation at an earlier stage. DataSango is being developed with the aim of delivering data preparation itself in a reproducible manner for that purpose.
Representative Comment
Comment from Tomoaki Sawaguchi, President and CEO of Mer Inc.
What I have constantly seen in the field is the reality that CRM, automation, or AI themselves are not bad, but rather that it is difficult to produce results because the data they presuppose is not properly prepared. Until now, this is an issue we have been solving while accompanying clients through diver, but in an era where AI utilization becomes commonplace, I believe it is necessary to deliver it to more companies. DataSango is a service for squarely confronting this 'important issue prior to AI.'
About Pre-registration
Prior to the official release of DataSango, we have started accepting pre-registrations.
If you wish to receive information at the time of official release, the latest information, or advance consultations, please register below.
Click here for pre-registration
About DataSango
DataSango is a service aimed at transforming data preparation, which is a prerequisite for AI utilization, from 'work that everyone knew about but no one could complete' to 'work that can be continuously executed as a mechanism.'
Specifically, it automatically prepares duplicated, inconsistently notated, missing, and unclassified data accumulated in the CRM using both predefined rules and AI. We define algorithms and operations to answer questions such as 'which record is considered correct,' 'in what format should company names and phone numbers be unified,' 'which key should be used to supplement with external data,' and 'under what conditions should segments and ranks be assigned.'
https://www.datasango.ai/
In recent years, B2B companies have rapidly advanced initiatives for CRM introduction, business automation, and AI utilization. On the other hand, issues have surfaced in the field, such as 'CRM reports cannot be trusted,' 'segments cannot be created correctly,' 'unorganized data continues to flow as a result of automation,' and 'we want to use AI, but are anxious about the quality of the original data.'
Since its founding in 2020, Mer has supported the construction of mechanisms for revenue departments, including marketing, sales, CSCX, and billing management. Also, since 2021, as a domestic Pipedrive master partner, we have been working on supporting CRM introduction and utilization. What has consistently become apparent through this is that the success or failure of tool introduction is determined not by the number of functions, but by whether the data is prepared in a usable state.
Through 'diver,' an external RevOps team provided by Mer, we design the entire business flow with AI in mind and seamlessly support everything from tool selection and implementation to familiarization. In this hands-on support, we have confirmed many cases where the cause of stagnation in AI utilization and automation ultimately comes down to data quality issues. The characteristic of diver is that it starts not only with tool introduction but also with the redesign of business flows, designing 'how much to entrust to AI and tools.'
Especially now that AI utilization is becoming a premise, the problem of data quality is becoming more serious. If AI refers to data with omissions, duplications, notation inconsistencies, or semantic deviations, there is a risk of producing plausible but inaccurate outputs. In fact, in case studies of companies achieving results by combining CRM and AI, the structuring and integration of CRM data are treated as important prerequisites. A Salesforce utilization case study introduced at SaaStr also showed the importance of CRM data serving as a hub as the foundation for utilizing AI agents. Source
Given this background, Mer has been developing 'DataSango.' DataSango is not merely a data cleansing tool, but a service that confronts practical issues such as where the data enters, at what stage inconsistencies and omissions occur, and how to perform name aggregation, supplementation, and conversion to make it 'usable data.' It supports the creation of a data foundation that is a prerequisite for business automation and AI utilization.
Mer has been solving this problem through diver in a hands-on manner. However, in the coming era where AI utilization and automation will become more widespread, it is necessary to create a state where more companies can safely utilize AI and automation at an earlier stage. DataSango is being developed with the aim of delivering data preparation itself in a reproducible manner for that purpose.
Representative Comment
Comment from Tomoaki Sawaguchi, President and CEO of Mer Inc.
What I have constantly seen in the field is the reality that CRM, automation, or AI themselves are not bad, but rather that it is difficult to produce results because the data they presuppose is not properly prepared. Until now, this is an issue we have been solving while accompanying clients through diver, but in an era where AI utilization becomes commonplace, I believe it is necessary to deliver it to more companies. DataSango is a service for squarely confronting this 'important issue prior to AI.'
About Pre-registration
Prior to the official release of DataSango, we have started accepting pre-registrations.
If you wish to receive information at the time of official release, the latest information, or advance consultations, please register below.
Click here for pre-registration
About DataSango
DataSango is a service aimed at transforming data preparation, which is a prerequisite for AI utilization, from 'work that everyone knew about but no one could complete' to 'work that can be continuously executed as a mechanism.'
Specifically, it automatically prepares duplicated, inconsistently notated, missing, and unclassified data accumulated in the CRM using both predefined rules and AI. We define algorithms and operations to answer questions such as 'which record is considered correct,' 'in what format should company names and phone numbers be unified,' 'which key should be used to supplement with external data,' and 'under what conditions should segments and ranks be assigned.'