Airosentris
AI-Powered Social Media Listening & Sentiment Analysis Platform — monitor public perception, detect issues early, and respond smarter across all channels.
Background & Challenges
Before Airosentris, organizations faced critical social media monitoring challenges that left them blind to public sentiment.
Information Overload
Thousands of daily posts and comments made it impossible to track issues manually.
Reactive Responses
Teams could only respond after issues escalated publicly — no early warning system.
Scattered Tools
Data from Instagram, Facebook, and other platforms wasn't unified into a single view.
Lack of Sentiment Insight
No automated way to detect tone — positive, negative, or neutral — at scale.
Inefficient Complaint Handling
Operators struggled to categorize, prioritize, and respond quickly to citizen complaints.
Key Capabilities
Comprehensive AI-powered features for social media intelligence — from crawling and sentiment analysis to automated engagement.
Multi-Platform Crawling
Instagram, Facebook, Twitter and more — fetching posts, comments, and interactions in real time.
AI Sentiment Analysis
Classifies comments as positive, negative, or neutral using custom-trained NLP models.
Complaint Management
Operators respond directly within the dashboard with categorized, prioritized workflows.
Auto Reply & Engagement
AI suggests or triggers contextual replies to comments automatically.
Comment Categorization
Intelligent grouping into themes and issues for streamlined handling.
Dashboard & Analytics
Trends, keyword hotspots, and sentiment distribution with drill-down analytics.
Trainer & Runner Agents
Modular AI training system for continuous model improvement and retraining.
WebSocket Integration
Real-time updates streamed into the frontend for instant notifications.
Multi-Tenant Support
Different organizations can use the same system securely with isolated data.
Sentiment Analysis Pipeline
Our AI processes social media content through a multi-stage pipeline — from raw text to actionable sentiment insights.
Message Categorization
Beyond sentiment — every message is automatically classified into actionable categories so the right team handles the right issue.
Issue Distribution
Last 30 days • 1,230 messagesLive Feed
Tagihan bulan ini naik 3x lipat, padahal pemakaian biasa saja
Meteor air saya mati sudah 2 minggu, kapan diperbaiki?
Ada kebocoran pipa besar di Jl. Raya Darmo, air menggenang
Air keruh kecoklatan sejak kemarin, tidak layak pakai
Tekanan air sangat lemah, lantai 2 tidak dapat air sama sekali
Terima kasih, petugas cepat tanggap perbaiki kebocoran 👍
Auto-Classification
AI automatically tags each message into the right category — no manual sorting needed.
Category Analytics
Track which issues dominate. Identify patterns and allocate resources accordingly.
Smart Filtering
Filter by category, sentiment, platform, or time period for targeted analysis.
Multi-Label Support
A single message can belong to multiple categories — e.g., billing + meter issue.
Reply From One Platform
No more switching between apps. All comments across every social channel flow into one inbox — operators reply directly from Airosentris.
Air di daerah Rungkut mati sejak tadi pagi, kapan normalnya?
Unified Inbox
All comments from Instagram, Facebook, and Twitter in one centralized inbox.
AI-Suggested Replies
Get context-aware reply suggestions powered by sentiment and topic analysis.
Cross-Platform Reply
Reply to any comment directly — the response posts on the original platform.
One-Click Templates
Pre-approved response templates for common issues — fast, consistent, on-brand.
API & Webhook
Connect Airosentris to any system. RESTful API for on-demand access, real-time webhooks for event-driven workflows.
Webhook Events
Subscribe to real-time events — comments, alerts, training completions pushed to your endpoint.
RESTful API
Full CRUD API for sentiments, categories, replies, and reports. JSON format, versioned endpoints.
API Key Auth
Secure access with scoped API keys per tenant. Rate limiting and audit logging included.
Two-Way Integration
Push data in, pull insights out. Connect with Slack, Teams, JIRA, or any custom system.
Dynamic Trainer Agent
One click to retrain. Deploy anywhere — cloud or on-premise. The AI keeps learning from your team's corrections and gets smarter every cycle.
Self-Improving AI
The model gets smarter over time — learning from every correction operators make.
One-Click Training
No CLI, no notebooks. Just press a button and the trainer agent handles everything.
Zero-Downtime Deploy
New models are hot-swapped in production — no service interruption.
Cloud or On-Premise
Deploy the trainer agent wherever your data lives — full flexibility.
Platform Architecture
A modular, event-driven architecture built to scale — from social media crawling to AI inference and real-time dashboards.
Multi-Tenant & Security
One platform, many organizations. Each tenant gets complete data isolation, dedicated API keys, and full audit trails — enterprise-grade from day one.
End-to-End Encryption
All data encrypted at rest (AES-256) and in transit (TLS 1.3).
Scoped API Keys
Each tenant gets isolated API keys with granular permission scoping.
Audit Logging
Every action tracked — who did what, when, from where. Full compliance.
Role-Based Access
Admin, Operator, Viewer roles with configurable permission levels.
Analytics & Monitoring
Real-time dashboards that turn social media noise into crystal-clear insights. Monitor sentiment trends, category volumes, and team performance.
Positive Sentiment Trend
Top Categories
Platform Split
Trend Analytics
Track sentiment trends over time. Spot patterns and seasonal shifts in public perception.
Category Breakdown
Visual distribution of issue categories — identify what matters most to citizens.
Alert Dashboard
Real-time alerts for sentiment spikes, SLA breaches, and crisis-level mentions.
Performance KPIs
Track response time, auto-reply rate, resolution rate, and operator efficiency.
Crisis Detection & Response
When a crisis hits, every minute counts. Airosentris detects anomalies in real time and triggers coordinated responses — before it goes viral.
Crisis Response Timeline
Simulated scenario400% spike in negative mentions detected in Rungkut district
Sentiment Recovery
Anomaly Detection
AI detects unusual spikes in mentions, negative sentiment, or specific keywords automatically.
Auto-Escalation
When thresholds are breached, alerts go to Slack, email, SMS — reaching the right people instantly.
Coordinated Response
Pre-approved templates and auto-replies deployed across all channels simultaneously.
Post-Crisis Analysis
Full timeline report with sentiment recovery tracking and response effectiveness metrics.
Impact & Outcomes
Measurable outcomes from Airosentris implementation — transforming reactive monitoring into proactive intelligence.
Proactive Reputation Management
Issues detected early before they spread — protecting brand trust.
Faster Response Times
Automatic alerts and suggested replies shortened complaint resolution cycles.
Operational Efficiency
Reduced manual monitoring workload through automation.
Data-Driven Insights
Leaders gained visibility into public sentiment and trending issues.
Continuous Learning
Models improved over time with retraining, increasing accuracy.
Ready to Listen Smarter?
Stop reacting to crises. Detect sentiment shifts early, engage proactively, and protect your brand across every social channel — powered by AI.