MiiTel
Analyze sales calls and contact center conversations.
RevComm Funding History
RevComm develops MiiTel, an internet phone platform that uses AI to analyze conversations in sales teams and call centers.
Company Overview
RevComm
Founded 2017 · Tokyo, Japan
Official WebsiteRevComm Funding Timeline
Series B (First Close)
~US$20.6M (equity + debt)
The first close combined equity and debt to help RevComm deploy AI agents and develop its voice analytics products.
Participation included Salesforce Ventures.
Source · revcomm.com ↗Pre-Series B
JPY 1.58 billion (incl. debt)
The round was RevComm’s first financing announcement in nearly four years and combined an equity issue with a loan and asset financing.
Participation included World Innovation Lab, Salesforce Ventures.
Source · revcomm.com ↗Series A
JPY 1.5 billion (JPY 800 million first close + JPY 700 million second close)
The total combines two closes. RevComm was building MiiTel, a cloud phone system that analyzes sales conversations.
Led by WiL Fund II, World Innovation Lab. Participation included PERSOL Innovation Fund, En Japan, VCube.
Second close; leads carry over WiL, 10 new investors join
Source · prtimes.jp ↗
Pre-Series A
JPY 150 million
RevComm had already launched its MiiTel cloud phone system when it raised pre-Series A funding through share subscription rights.
Source · revcomm.com ↗
RevComm Founding Team
RevComm’s founding team took on a practical question for sales and support teams: how to review and learn from phone conversations at scale. The founding team included Noriaki Nishida.
- Takeshi Aida — CEO. Previously at Mitsubishi Corporation.
RevComm Products
RevComm Company Development
Turning the Business Phone into a Record of the Conversation
MiiTel put analysis inside business calling rather than requiring users to reconstruct calls after the fact. That creates a common record managers can use for coaching and call review alongside the team's day-to-day telephony.
RevComm Competitive Landscape
Reviewing Calls Versus Altering Live Audio
MiiTel helps sales and service teams understand what was said and how calls went. Sanas concentrates on the signal during a live conversation, including noise and accent translation. They can serve the same contact center while solving problems at different points in the call.
