Deliver AI notetakers your users can trust

Provide the reliability and accuracy that makes your product essential. Turn industry-leading Voice AI into your competitive advantage.
Try our API for freeContact Sales
Internal Product Strategy Meeting
00:00
01:59
00:02
Christopher
Yeah, and the bug discussion above just kind of points out that, like, we have an underlying problem right now in our metrics measurement. So if we change the measurements to reflect that, then hopefully we're in good shape. If we don't and we flatline and address it so that we flatline open S1s and S2s, you will see a temporary jump in above SLOS as we clear out that backlog over that period of time.
00:28
Eric
And I have point C, which is similar to infrastructure. We need to get more security work prioritized. We're hearing that from the team. But neither that problem nor that activity is sort of currently reflected in our security metrics. So we have some work to do long term to make sure we see things like that in the metrics and the measurements that we're making. So Back to you, Sid. 10.
00:56
Sid
Yeah, the narrow MR Rate seems significantly below target and maybe I hope that it would bounce back from December. I think it bounced back, but not back on target. Any context there? What's going on?
01:14
Christopher
Yeah, so with family and friends days, we actually had some heavier vacation days in January than we historically have. One thing to note is that we are actually at a higher MR Rate. If you look at, if you go back the last 18 months, we're actually at a higher narrower MR Rate than we were back in each month this year. So if you compare October to October, November to November and January, I'm sorry, October, November, December and January, comparatively to last year, what you'll find is we're between a .5 and a 1.5 MR Rate above where we were in the month of previous year.
01:59
Daniel
That's great context. Thank you, Christopher.
Speakers
Christopher
Eric
Sid
Daniel
Summary
The meeting focused on metric accuracy, measurement improvements, and contextualizing performance data with operational realities like vacation schedules and work prioritization challenges.
Key Topics
1. Bug Tracking & Metrics Measurement Issues
2. Security Work Prioritization & Metrics Gap
3. MR (Merge Request) Rate Performance Analysis
4. Operational Metrics Review

The Voice AI that separates good meeting notes from great ones

Your users know the difference. Give them intelligence they can trust.

Built for the complexity of real meetings

Build meeting intelligence that works consistently across real-world conversation scenarios.

  • Achieve 30% fewer transcription errors compared to alternatives while maintaining processing speed
  • Capture business vocabulary, participant names, and specialized terminology with enhanced recognition accuracy
  • Deliver real-time transcription performance with sub-second latency for live meeting applications

Transform transcripts into actionable intelligence

Integrate speech recognition built specifically for meeting intelligence and conversation analysis.

  • Distinguish between speakers reliably in complex audio environments with overlapping speech and background noise
  • Process conversation context to identify discussion topics, sentiment patterns, and key decision points automatically
  • Output structured data with word-level timestamps and confidence scores for precise downstream integration

Scale confidently from prototype to millions of user

Scale your meeting intelligence with speech recognition infrastructure designed for high-volume applications.

  • Support concurrent transcription requests across multiple meeting sessions with consistent response times
  • Maintain enterprise security standards with SOC 2 compliance and zero data retention policies
  • Rely on production-grade service availability with 99.9% uptime commitment and dedicated support

Capturing speech is where it starts. Creating outcomes is where it counts.

Learn why today’s most innovative companies choose us.

90%

Reduction in customer complaints and support tickets

Play video

Assembly is instrumental in our transcription process, providing crucial input for our LLM API to process further. It's become an integral part of our workflow.

Krish Ramineni, CEO and co-founder

Read more

Accuracy where it matters most

Our Voice AI models deliver near-human accuracy even among noisy or challenging audio to capture the crucial details needed for smooth and seamless downstream processes.
The industry’s highest Word Accuracy Rate
AssemblyAI
Universal
Amazon
Transcribe
Deepgram
Nova-2
OpenAI
Whisper Large-v3
93.3%
91.7%
90.8%
89.7%
Explore all benchmarks

Meeting intelligence features you can ship with confidence

Modern AI notetakers need more than basic speech-to-text functionality.

Speaker Diarization

Reliably detect multiple speakers and what they’re saying with the highest accuracy in the industry.

Summarization

Turn hours of audio into concise, actionable insights with automatic summarization.

Sentiment Analysis

Capture speaker sentiment accurately for informed business decisions and problem solving.

Word Timings

Get granular timing data to sync conversation analysis and improve task automation.

Topic Detection

Spot trends and ares of importance by identifying key conversation topics.

PII Redaction

Safeguard sensitive information automatically to ensure privacy and compliance.

MODERN TOOLS FOR SUPERIOR INTELLIGENCE

Build expertly, scale effortlessly

Deep dive into the latest insights, trends, and industry breakthroughs for all things conversation intelligence.

Blog

Zoom leverages AssemblyAI to help advance its AI research and development

BLOG

How Grain increased customer satisfaction by 12% after integrating AssemblyAI

Blog

AI-powered meeting company Supernormal launches customizable Voice Agents

Frequently Asked Questions

 What features does AssemblyAI offer for meeting transcription?

AssemblyAI supports meeting transcription with speaker diarization, real-time (sub‑second) and asynchronous STT, automatic summarization, word‑level timestamps and confidence scores, and optional PII redaction. Diarization results are returned in transcript.utterances for easy speaker‑segmented text.

How accurate is AssemblyAI's speech-to-text API for meeting transcription?

AssemblyAI reports industry‑leading meeting transcription accuracy: a 93.32% Word Accuracy Rate and 30% fewer transcription errors than alternatives. It also reduces diarization errors (64% fewer speaker counting mistakes) helping reliably attribute who said what.

Does AssemblyAI support real-time transcription?

Yes. AssemblyAI’s Streaming Speech-to-Text returns results in a few hundred milliseconds, enabling sub-second latency. Core pages specify ~300 ms “immutable transcripts” for voice agents and sub-second real-time performance for live meeting notetaker use cases.

How does AssemblyAI identify and label different speakers?

Enable diarization by setting speaker_labels=true. AssemblyAI segments words into chunks, computes speaker embeddings, and clusters them to assign speaker turns across the file. Output labels are generic (Speaker A/B/C). Typically ~30 seconds of speech per person is needed; brief replies may be merged. Labels aren’t consistent across files by default.

How do I get started with AssemblyAI's API for meeting transcription?

Create an account and get your API key. For recorded meetings, use an SDK to call client.transcripts.transcribe({audio: file/URL}); SDKs poll for completion or use webhooks. For live meetings, upgrade your account and use StreamingClient to connect and stream audio for real-time transcription.

Can AssemblyAI integrate with existing meeting platforms?

Yes. AssemblyAI provides documented integrations with meeting ecosystems like Zoom RTMS and Recall.ai (for Zoom meeting bots), and supports LiveKit for voice agent use cases. For downstream workflows, no‑code options like Zapier and Power Automate let you pipe transcripts into 5,000+ apps.

Unlock the value of voice data

Build what’s next on the platform powering thousands of the industry’s leading of Voice AI apps.

Try our API for freeContact sales