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AI-Driven Social Media Personalization & Moderation Platform

Building a trust-centered social ecosystem with AI personalization, real-time moderation, and sentiment analytics — improving engagement by 70%, boosting relevance by 35%, and achieving 95%+ harmful content detection accuracy.

Build Your Social Platform

About the Platform

An AI-powered social networking ecosystem designed to unify content sharing, professional networking, and brand engagement within a single intelligent environment. The platform combines personalization, real-time moderation, and sentiment-driven analytics to create safer, more relevant, and higher-performing digital communities.

Industry

Social Media & MarTech

Content sharing, professional networking, and brand engagement in one environment.

  • Social Media
  • MarTech
  • Creator Economy
Business Type

Social Platforms & Brand Ecosystems

Consumer platforms, professional communities, and advertiser-facing brand ecosystems.

  • Consumer Social
  • Professional Networks
  • Brand Ecosystems
Core Offering

AI Personalization, Moderation & Engagement Intelligence

Hybrid recommenders, real-time moderation, and sentiment analytics in one platform.

  • Hybrid Recommender
  • Real-Time Moderation
  • Sentiment Analytics
  • Ad Targeting
Safety Stack

95%+ Harmful Content Detection Accuracy

TensorFlow and NLTK moderation models screen text and media before they spread.

  • Toxicity Detection
  • NSFW Screening
  • Media Compliance
  • TensorFlow & NLTK
Intelligence Layer

BERT & GPT Sentiment and Intent Analysis

Emotion, tone, and intent signals feed both recommendations and brand analytics.

  • Emotion & Tone
  • Brand Sentiment
  • Intent Signals
Build your idea

Talk to our experts

Scope your own AI social platform with our engineering team.

  • Free Consultation

The Vision: A Safer, Smarter Social Ecosystem

Generic feeds and reactive moderation fell short.

Reactive
Traditional social networks rely on generic recommendation engines and reactive moderation. This often results in toxic content, irrelevant feeds, and poor brand alignment.
AI-First
The goal was a context-aware, AI-first platform: personalizing content per user, filtering harmful content in real time, and delivering measurable value to advertisers.
Trust
The vision was to transform social networking from engagement-driven chaos into a trust-centered, intelligence-powered ecosystem.

From engagement-driven chaos
to trust-centered, AI-first
communities

Start Your Social Project

The Solution: An Intelligent Social Intelligence Platform

  • AI Personalization Engine

    AI Personalization Engine

    AI Personalization Engine

    • Hybrid recommender combining collaborative & content-based filtering
    • Tailored feeds and ad experiences per user behavior
    • Continuous learning from interaction data
  • Toxicity & NSFW Detection Pipeline

    Toxicity & NSFW Detection Pipeline

    Toxicity & NSFW Detection Pipeline

    • TensorFlow & NLTK moderation models trained on large-scale datasets
    • Up to 98% harmful content detection accuracy
    • Real-time media compliance and safety checks
  • Sentiment & Context Intelligence

    Sentiment & Context Intelligence

    Sentiment & Context Intelligence

    • BERT and GPT-powered text analysis for emotion and tone detection
    • Brand sentiment tracking across posts and reviews
    • Context-aware intent signals for smarter recommendations
  • Marketing Insights & Targeting Layer

    Marketing Insights & Targeting Layer

    Marketing Insights & Targeting Layer

    • Real-time audience analytics and influencer discovery tools
    • Ad optimization based on engagement and sentiment data
    • Improved advertiser ROI through dynamic targeting
  • Trust, Safety & Human Review

    Trust, Safety & Human Review

    Trust, Safety & Human Review

    • Borderline moderation decisions routed to human reviewers
    • Appeals workflow with full decision history per post
    • Model thresholds tuned from reviewer agreement rates

Project Challenges: Balancing Engagement, Safety, and Relevance

Hover a row to see what changed.

System Architecture: AI-Orchestrated Social Intelligence

We designed a modular ecosystem combining behavioral recommendation engines, NLP-driven sentiment analysis, real-time moderation pipelines, visual safety detection, and marketing analytics — enabling continuous relevance improvements and safety at scale.

The Impact: Safer Communities, Higher Engagement

Every number below was measured in production after launch — not projected in a pitch deck.

70%

Improvement in — Engagement & Retention

95%+

Accuracy in — Harmful Content Detection

35%

Increase in — Content Relevance

ROI

Improved — Advertiser Performance

Global presence

Three offices. One team.

Hi, I'm ARIA. Ask me anything about Bonami's AI agents.