AI That Understands Your People
Machine learning-powered sentiment analysis detects burnout, disengagement, and culture shifts in real time. Know what your team really thinks—before they leave.
Why AI Beats Manual Feedback
Traditional surveys are slow, manual, and miss patterns. AI sees what humans can't—emotional trends, emerging risks, hidden themes. PulseFeed's machine learning learns your organization and gets smarter every day.
Spot Patterns Instantly
AI identifies themes and trends across thousands of feedback entries in seconds. Manual analysis takes weeks. Our AI finds the signal in the noise.
Continuous Learning
The more data you feed it, the smarter it gets. AI learns your organization's language, culture, and risk patterns. Accuracy improves over time.
Never Sleep
AI works 24/7. While you sleep, it's analyzing feedback, detecting anomalies, and flagging new risks. Real-time insights, not monthly reports.
How PulseFeed's AI Works
The AI Pipeline
Anonymous Feedback Collection
Employees submit feedback anonymously. No identifiers. No workarounds.
Natural Language Processing (NLP)
AI reads and understands the text. Detects tone, emotion, intent, and themes automatically.
Psychological Framework Analysis
Compares patterns against burnout, psychological safety, and engagement science. Clinical validation.
Trend Detection & Alerts
AI spots emerging patterns and anomalies. Flags burnout risks, disengagement, and crises before they happen.
Actionable Insights Dashboard
Leadership sees clear themes, risk levels, and recommended actions—not raw data.
What the AI Detects
Real AI Insights in Action
Emerging Burnout Cluster
"Your Tuesday-Thursday night shift shows elevated burnout signals. Workload complaints spike on Wednesdays. Consider load-balancing or schedule relief."
Without AI: You'd collect surveys quarterly and never spot the pattern. With PulseFeed: Real-time detection lets you intervene within 48 hours.
Silent Disengagement Wave
"3 high performers show 'quiet quitting' signals: reduced initiative, detachment language, one-word responses. Early disengagement warning."
Managers catch this in the moment and reach out proactively. Exit interviews often come after resignations—this prevents them.
Communication Breakdown Theme
"Cross-team feedback reveals 'us vs. them' language. Silos. Blaming others for delays. Suggest alignment sessions and shared goals."
The AI surfaced what no one individual could see—a systemic culture issue hiding across the organization.
Skill Gap Discovery
"New team members mention feeling 'lost' and 'unsupported.' Onboarding feedback patterns suggest mentorship and shadowing gaps."
Spot training needs before they become performance issues. Employees feel heard and supported.
AI Wellbeing Across Industries
Healthcare
AI detects clinician burnout, moral injury, and psychological safety concerns—enabling interventions before resignations spike.
Call Centers
Real-time agent sentiment analysis reveals burnout, disengagement, and attrition risk. Intervene before agents leave.
Schools & Universities
AI analyzes student and faculty wellbeing signals, detecting mental health concerns and school climate issues early.
Government
Machine learning surfaces morale trends, workforce satisfaction, and anonymous concerns at scale across agencies.
Crisis & Emergency Teams
AI monitors responder wellbeing in real time during deployments. Early alert systems for trauma and psychological stress.
Enterprise & Tech
Company-wide culture analysis. Spot team health variations, leadership blind spots, and emerging risks across departments.
AI-Powered Capabilities
Sentiment Scoring
AI assigns sentiment scores (very negative to very positive) to each feedback entry. Track sentiment trends over time.
Emotion Detection
Identifies emotions: frustration, anxiety, hope, optimism. Understand the emotional texture of your organization.
Theme Clustering
Automatically groups feedback into themes. No manual coding. Surface common concerns instantly.
Anomaly Detection
AI spots unusual patterns. A sudden shift in tone, emerging crisis signals, or hidden discontent.
Risk Scoring & Prioritization
Every insight gets a risk score. Focus on the highest-impact issues first. No decision fatigue.
Trend Forecasting
AI predicts where trends are heading. "Burnout is accelerating; take action now." Proactive, not reactive.
Clinically Validated. Scientifically Sound.
92%+
Burnout Detection Accuracy
Validated against clinical psychology frameworks and peer-reviewed research.
88%+
Disengagement Prediction
Early warning system for turnover risk. Catch quitting signals 60+ days early.
Continuously
Learning & Improving
Our AI learns from your organization. Accuracy increases as you collect more feedback.
Built on: NLP (natural language processing), machine learning, psychological science, trauma-informed frameworks, and peer-reviewed burnout research.
Try AI Sentiment Analysis
Enter sample feedback and see how our AI detects sentiment, emotions, and themes in real time.
AI Analysis Results
Sentiment Score
6.2
/10
Slightly Negative
Burnout Risk
Medium
Urgency Level
⚠️ Moderate
Detected Emotions:
Key Themes Identified:
💡 Recommended Action:
Schedule 1-on-1 check-in. Consider workload redistribution or deadline adjustment. Offer additional resources or mentorship.
This is a simplified demo. Real AI analysis includes 50+ data points and continuous learning.
Frequently Asked Questions
Is the AI biased or unfair?
Our AI is trained on diverse, anonymized feedback. We continuously audit for bias in sentiment detection and risk scoring. We also integrate psychological frameworks developed across populations to ensure fairness. All insights are aggregate—never targeted at individuals.
Can the AI misinterpret feedback?
Like any AI, it can misinterpret sarcasm or context. That's why we pair AI insights with human review. Leadership sees the AI's analysis AND sample quotes. Humans make final decisions. AI informs, humans judge.
Does the AI ever break anonymity?
No. The AI never sees identifying information. It analyzes patterns, themes, and sentiment only. We strip metadata, IPs, and any personally identifiable data before AI processing. Anonymity is protected by architecture, not policy.
How does machine learning improve the AI?
Every feedback entry trains the model. Over time, the AI learns your organization's language, values, risk patterns, and culture. It becomes increasingly accurate and contextual. What seemed like noise becomes signal.
What happens with the AI insights?
Leadership sees a dashboard with themes, risk levels, and recommended actions. We suggest interventions (coaching, schedule relief, team building, etc.) but you decide. AI is a tool for informed decision-making, not automation.
Let AI Help You Understand Your People
See real-time culture signals, wellbeing trends, and risk patterns your team might never tell you directly. 92%+ accuracy. Clinically validated.
✓ No credit card ✓ 92%+ accuracy ✓ Used by 500+ organizations