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Pair Noms
Writing of meeting minutes, or Notes of Meetings (NOMs), within the government is a highly nuanced but tedious task. It can take anywhere from a few hours to a full civil servant’s work day. Pair Noms alleviates this effort by leveraging on advance LLM-based technologies to help transcribe, format and generate high-quality meeting minutes in under an hour.
Since 2024
Pilot
We're seeing if these products are working well for users and should be developed further.
Product Overview
Team Members
1
⅓PM
Cost Per Quarter
$46,480
Show breakdown
$13,472
Salary
$10,587
Infrastructure
$14,386
Corporate Overhead
$6,266
Equipment, Software & Office
$1,767
Others
Usage
61,980minutes
Total duration of meeting processed
+63%
911
Number of meetings processed
+124%
Efficacy
112minutes
Average estimated time savings per minutes
0%
3.4/5
Quality of meeting minutes
0%
Key Highlights
Q3-2024 Jul-Sep
- Opened Noms for gated beta usage across multiple agencies.
Q2-2024 Apr-Jun
- Piloted Noms for various agencies across the government and collected insights for improvement of generation and interface.
- Developed and refined heuristics of standards for meeting minutes in the government.
- Built automated evaluation pipeline to assess generated minutes.
- Moved past traditional LLM prompting and upgraded minutes generation pipeline to mimic secretariat workflow to improve meeting minutes quality.
- Enhanced Noms editor interface to allow for faster referencing and editing.
- Built auto scrubbing to corresponding point in the transcript with accompanying meeting audio playback.
- Released in-built “Ask Pair” function to leverage on LLMs for faster edits.
Q1-2024 Jan-Mar
- Built a feature to automate uploading of meeting material like audio recordings and slides.
- Added audio compression to allow large files to be uploaded smoothly.
- Built initial automated minutes generation pipeline for Pair Noms to turn raw transcripts into meeting minutes that capture the most salient points, are well structured, and worded in reported speech.
- Prototyped minutes generation with DSPy framework to improve the quality of minutes generated.
- Piloted minutes generation in meetings across 8 agencies, and collected feedback for further improvement.
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