LevelUs — Fairer, Clearer Meetings

LevelUs helps facilitators and proctors run meetings where all voices are tracked and encouraged. Use live onboarding to identify speakers, get real-time transcripts and fairness metrics, and empower meetings where underrepresented voices are heard.

Equality First

Identify inequities in real-time and take rapid actions.

Live Insights

See who's speaking, for how long, and interruption counts.

Discussion Tool

Manually edit, credit ideas, and ensure balanced participation.

The Problem: Gender Inequality in Tech Meetings

Research shows that women and underrepresented groups face significant barriers in technical discussions. LevelUs addresses these systemic issues with data-driven insights.

Women Are Interrupted More

Research shows women are interrupted significantly more often than men in group discussions, with studies finding interruption rates 2-3 times higher for women.

Source: Interruptions in Group Discussions: The Effects of Gender and Group Composition

Underrepresentation in Tech

26%

Women hold only 26% of computing jobs in the U.S., despite making up nearly half of the overall workforce, according to NCWIT data.

Source: NCWIT (National Center for Women & Information Technology)

Speaking Time Disparity

75%

Studies of mixed-gender groups show men often dominate speaking time, speaking significantly more than women even in professional settings.

Source: Research on Gender and Group Composition

Idea Attribution Issues

Common

Research indicates women's contributions in technical discussions are more likely to be overlooked or attributed to others, creating barriers to recognition.

Source: Studies on Gender Bias in Technical Discussions

Meeting Participation Gap

Significant

Women report lower confidence speaking in male-dominated meetings, and studies show measurable differences in participation rates.

Source: Workplace Meeting Dynamics Research

Retention Challenges

Higher

Women in tech face higher turnover rates, with meeting dynamics and lack of recognition contributing to retention challenges in the industry.

Source: Tech Industry Retention Studies

How LevelUs Solves This

Our AI-powered meeting assistant provides real-time insights and interventions to create more equitable discussions.

Real-Time Intervention

LevelUs detects interruptions as they happen and provides facilitator suggestions to ensure all voices are heard. Our system identifies when someone is being interrupted and recommends actions like 'Let the speaker finish' or 'Invite quiet people to talk'.

Helps facilitators create more equitable meeting environments

Idea Attribution Tracking

Never lose track of who said what. LevelUs maintains a complete transcript with speaker identification, making it easy to credit the original idea person and prevent idea theft.

Ensures proper credit for all contributions

Speaking Time Analytics

Get detailed statistics on speaking time, word count, and participation rates by speaker. Identify imbalances before they become problems and track improvement over time.

Provides data-driven insights for meeting equity

Proactive Facilitation

Our AI suggests specific interventions like 'Credit the original idea person' or 'Rebalance discussion' when it detects inequality patterns, helping facilitators create more inclusive environments.

Empowers facilitators with actionable insights

Research-Backed Solutions

LevelUs is built on findings from leading research on gender dynamics, interruptions, and group composition in technical discussions.

Interruption Patterns

Research shows that interruptions disproportionately affect women and underrepresented groups. LevelUs tracks and reports these patterns to create awareness and drive change.

Read research paper →

Group Composition Effects

Studies demonstrate that group composition significantly impacts participation rates. Our analytics help identify and address these dynamics in real-time.

Read research paper →

Bias in Technical Discussions

Research reveals systematic biases in how ideas are attributed and credited. LevelUs ensures proper attribution and reduces bias through transparent tracking.

Read research paper →

Why LevelUs?

Meetings often favor the loudest voices. LevelUs provides lightweight proctoring tools to track speaking equity, reduce interruptions, and surface ideas to credit speakers — all in a simple demo-ready app.

Built with Next.js, React, FastAPI, Gemini API, ElevenLabs, Tailwind CSS, and AI tools.