Feel Flow Inc. Launches "Realtime Meeting Assistant AI" to Support Meetings and Sales Calls in Real Time
On May 18, 2026, Feel Flow Inc. officially launched Realtime Meeting Assistant AI, a meeting-support SaaS that transcribes what’s said during meetings and sales calls in real time and uses AI to extract the key points, risks, and action items.
- Service site: kalifa.feelflow.net/welcome
- About the service: In-house AI SaaS
- Contact: /en/contact?category=realtime-ai
Turn what’s said in a meeting into the next move
Realtime Meeting Assistant AI is an AI partner for a wide range of meeting scenarios — sales calls, internal meetings, brainstorming, executive meetings, and 1-on-1s.
It transcribes the conversation in real time and automatically surfaces issues, risks, decisions, and action items. Drawing on uploaded sales materials, FAQs, and past minutes as a knowledge base, it also suggests the next points to confirm and draft answers in step with the flow of the meeting.
Background
At many companies, a great deal of time goes into writing up minutes and organizing decisions and next actions after a meeting ends. In sales calls, being unable to fully answer a customer’s question on the spot — and having to follow up later — can slow down decision-making.
At the same time, the know-how for running meetings and handling sales conversations tends to live with individuals, making a veteran’s judgment and phrasing hard to reproduce across the organization. Even when past meeting records and internal materials have accumulated, they can’t be fully leveraged as organizational knowledge if they can’t be retrieved the moment they’re needed mid-meeting.
To address this, Feel Flow built this service not as a mere minutes-taking tool, but as an AI partner that acts proactively during the meeting and connects the discussion to the next action.
Key features
1. Real-time transcription with speaker separation
Supports microphone input and tab-audio capture from web meetings, transcribing online conversations in real time. Speaker separation records who said what in a form that’s easy to review afterward.
2. AI extraction of key points, risks, and actions
From the conversation, AI automatically extracts issues, risks, decisions, open questions, and action items — making points harder to miss during the meeting and useful for review and follow-up afterward.
3. RAG suggestions grounded in your materials
Register PDFs, Word, CSV, Markdown, and text into a knowledge base. For points detected during the meeting, it searches related internal materials and past minutes and generates evidence-backed suggestions and draft answers.
4. Switch AI personas to match the meeting’s purpose
Configure AI personas for the purpose at hand — sales strategy advisor, facilitator, technical advisor, management-strategy consultant, and more — switching the perspective of suggestions for sales calls, project meetings, executive meetings, 1-on-1s, and beyond.
Use cases
- Sales calls: capturing discovery notes, answering FAQs, organizing next proposals
- Customer success: understanding customer issues, answering based on past cases
- Executive and project meetings: drafting minutes, organizing points, supporting decisions
- 1-on-1s and interviews: recording the conversation, reviewing, supporting development
- Brainstorming and requirements: organizing ideas and extracting actions
Pricing (available from launch day)
| Plan | Monthly | Highlights |
|---|---|---|
| Free | ¥0 | Up to 30 min/month / 150K tokens / real-time transcription / AI insight extraction / AI summary |
| Standard | ¥3,000 | Up to 1,350 min/month / 6.75M tokens / knowledge-base integration / meeting data export |
| Pro | ¥10,000 | Up to 3,600 min/month / 18M tokens / custom AI personas / meeting chains |
| Enterprise | Contact us | Custom recording time and token limits / org management and member sharing |
For the latest pricing and feature differences, see kalifa.feelflow.net/welcome.
What’s next
Feel Flow positions Realtime Meeting Assistant AI as one of its in-house SaaS products connected through the FeelFlow ID Platform. Going forward, we’ll deepen integration with AI Agent Hub, Discussion Board, the Knowledge Database, and more — aiming to support the full arc from pre-meeting preparation, to in-meeting decisions, to post-meeting execution.
Beyond streamlining the record-keeping around meetings and sales calls, we’ll keep improving it as a product that raises the quality of organizational decision-making, sales activity, and people development.
Related links
This announcement is also available in Japanese .
