Meeting intelligence is the use of software to capture meetings and turn what was said into structured data.
It joins recording and transcription with speaker identification.
Analysis layers add summaries, topic detection, sentiment and talk-time metrics.
Teams can then search, review and act on calls at scale.
How meeting intelligence works
Meeting intelligence is a pipeline. Capture comes first. A meeting bot or platform integration records the call.
Processing follows. It turns the audio into transcripts. Every line has a speaker. The intelligence layer then pulls out meaning.
Language models and analytics write summaries. They spot topics and commitments. They score calls.
They work out metrics like talk time and question rates. The results then flow into the tools where teams act.
That means CRMs, dashboards, coaching tools and search.
The building blocks
Most stacks are built from the same parts:
- Bots that capture calls on Zoom, Google Meet and Microsoft Teams
- Transcription, both live and post-call
- Speaker identification and diarization for labels
- LLM analysis for summaries, action items and topics
- Metrics such as talk ratio, interruptions and sentiment
- Tools that write insight back into CRMs and workflows
What teams use it for
Sales teams review calls at scale. They coach reps against real calls. They keep CRM records current, with no logging by hand.
Customer success watches account health signals. Recruiting scores interviews the same way every time.
Product and research teams mine user calls for themes. Leaders get one view of what customers actually say.
The common thread is scale. No team can sit in on or rewatch every meeting.
Meeting intelligence turns that backlog into data you can query.
Real-time meeting intelligence
The category began as after-the-call analysis. The newer use cases are live. Media streams in under a second. Transcription is live.
So insight can surface during the meeting itself. Think of agents that fetch answers mid-call. Or live coaching prompts.
Or compliance alerts that fire while there is still time to act. That changes what you need.
Use low-latency streams, not batch recordings.
Meeting intelligence in practice
MeetStream is the capture and data layer for meeting intelligence products.
One API call sends a bot into a Zoom, Google Meet or Microsoft Teams call.
You get back MP4 recordings, participant events and live media streams. Transcripts come live or async, with a speaker on every line.
The analysis layer on top is yours to build. Start at the MeetStream docs.
See the meeting bot API page to go deeper.
Frequently asked questions
Is meeting intelligence just transcription?
No. Transcription is an input. Meeting intelligence adds speaker labels on top of transcripts. It adds analysis and metrics too.
It then sends the output to the tools. Teams act on it there. The transcript is raw material, not the product.
What is the difference between meeting intelligence and conversation intelligence?
They overlap a lot. Conversation intelligence usually means sales call analysis. The goal is revenue. Meeting intelligence covers any meeting type.
That includes internal, research and hiring calls.
Do I need my own bots to build meeting intelligence?
No. Most products use a meeting bot API. It covers capture, transcription and streaming.
They spend their own build time on the analysis and workflow layers. Those layers set them apart.
Put the vocabulary to work
One API to join, record, stream, and transcribe meetings on Zoom, Google Meet, and Microsoft Teams.