Find the moderation approach that suits your needs
The moderation market offers a wide range of solutions from rule-based tools to human-led services and all-in-one suites. Each approach has its strengths, and the right choice always depends on your context: your workflows, your volume, your risk level, and the expertise available within your team.
The essentials of choosing a moderation solution
Platform scope
Whether you moderate social media, API content, or both, coverage helps you match the solution to your organisation’s scope and multichannel strategy.
Language coverage
Most providers offer wide multilingual support, but it’s useful to know how each one aligns with your current or future global presence.
Industry expertise
Some solutions were originally built for specific sectors and gained valuable contextual understanding that still shapes their strengths today.
Content classifications
All solutions detect harmful content, but granularity differs. Standard categories are expected, and some providers offer more nuance that improves decision-making and audience insights
Understanding how approaches differ
Help you decide fast with an interactive comparison that puts our strengths head-to-head with competitors, feature by feature.
| Features |  |  Respondology |
|---|---|---|
| Platform scope | Native coverage across social platforms APIs: Facebook, Instagram, TikTok, LinkedIn, X, YouTube, Twitch, Discord. API-first by design for games, chats, forums, and websites, enabling real-time moderation at scale. | Social platforms only: Facebook, Instagram, TikTok, LinkedIn, YouTube, Threads. No API offering, limiting use cases beyond social media. |
| Language coverage | 45 languages with premium depth, including 6 core languages continuously updated and enriched by a dedicated NLP team to ensure contextual accuracy and consistency. | Claims 100+ languages. |
| Industry expertise | Industry-specific moderation models built and refined for Luxury & Fashion, Sports, Media, Social Apps, and Gaming, ensuring decisions align with brand and platform expectations. | Strong historical focus on sports and brand marketing use cases; depth can vary outside core verticals. |
| Contextual analysis | Advanced contextual engine combining industry-specific classifications, message target detection, post subject analysis, and source-based severity levels to deliver fast, precise, and adaptive decisions. | Contextual layer powered by generative AI, mainly designed to complement keyword-based moderation rather than replace it. |
| Content classifications | 50+ curated classifications spanning toxicity, safety, and business intelligence, designed to balance precision and actionability rather than raw volume. | ~30 keyword-based categories focused on identifying obvious violations. |
| Core strength | Contextual precision at scale, with moderation decisions taken in milliseconds across industries and platforms. Advanced analytics enable audience understanding and actionable business insights beyond moderation. | Large multilingual keyphrase and emoji library enabling rapid detection of explicit violations. |
| Main benefit | Consistent, high-precision moderation with minimal setup, capable of capturing nuance, adapting across industries, and delivering insights at scale without operational overhead. | Fast handling of clear-cut cases where rules and keywords are sufficient. |
| Potential limitation | Limited manual rule-based tuning, as quality relies on centralised expertise, continuous enrichment, and standardised frameworks rather than client-side configuration. | Limited contextual depth, no API integration, and reduced suitability for nuanced or industry-specific use cases. |
| Platform scope | Native coverage across social platforms and APIs: Facebook, Instagram, TikTok, LinkedIn, X, YouTube, Twitch, Discord. API-first by design for games, chats, forums, and websites, enabling real-time moderation at scale. | Broad social coverage including review platforms (Trustpilot, Google My Business). API available, but primarily designed to support human moderation workflows. |
| Language coverage | 45 languages with premium depth, including 6 core languages continuously updated and enriched by a dedicated NLP team to ensure contextual accuracy and consistency. | No official language count disclosed; relies on human moderators with varying language expertise. |
| Industry expertise | Industry-specific moderation models built and refined for Luxury & Fashion, Sports, Media, Social Apps, and Gaming, ensuring decisions align with brand and platform expectations. | Experience across Media, Retail, and Travel, driven by moderator training rather than industry-specific models. |
| Contextual analysis | Advanced contextual engine combining industry-specific classifications, message target detection, post subject analysis, and source-based severity levels to deliver fast, precise, and adaptive decisions. | Context handled by human moderators, leading to slower processing times, variable outcomes, and limited scalability. |
| Content classifications | 50+ curated classifications spanning toxicity, safety, and business intelligence, designed to balance precision and actionability rather than raw volume. | N/A |
| Core strength | Contextual precision at scale, with moderation decisions taken in milliseconds across industries and platforms. Advanced analytics enable audience understanding and actionable business insights beyond moderation. | Large-scale human moderation capacity supported by automation for pre-processing. |
| Main benefit | Consistent, high-precision moderation with minimal setup, capable of capturing nuance, adapting across industries, and delivering insights at scale without operational overhead. | Human judgment for highly sensitive or culturally complex cases. |
| Potential limitation | Limited manual rule-based tuning, as quality relies on centralised expertise, continuous enrichment, and standardised frameworks rather than client-side configuration. | Speed, scalability, and consistency constrained by human workflows, staffing, and training variability. |
| Platform scope | Native coverage across social platforms and APIs: Facebook, Instagram, TikTok, LinkedIn, X, YouTube, Twitch, Discord. API-first by design for games, chats, forums, and websites, enabling real-time moderation at scale. | Social platforms and APIs supported, mainly within a closed ecosystem tied to its broader risk-management suite. |
| Language coverage | 45 languages with premium depth, including 6 core languages continuously updated and enriched by a dedicated NLP team to ensure contextual accuracy and consistency. | 50+ languages supported, with generic classifications applied uniformly across languages. |
| Industry expertise | Industry-specific moderation models built and refined for Luxury & Fashion, Sports, Media, Social Apps, and Gaming, ensuring decisions align with brand and platform expectations. | Focused on Luxury & Fashion and Retail within a broader governance and compliance context. |
| Contextual analysis | Advanced contextual engine combining industry-specific classifications, message target detection, post subject analysis, and source-based severity levels to deliver fast, precise, and adaptive decisions. | Limited contextual depth. Classifications are generic, with complex or ambiguous cases escalated to human review. |
| Content classifications | 50+ curated classifications spanning toxicity, safety, and business intelligence, designed to balance precision and actionability rather than raw volume. | 100+ classifications, often broad and compliance-oriented rather than context-driven. |
| Core strength | Contextual precision at scale, with moderation decisions taken in milliseconds across industries and platforms. Advanced analytics enable audience understanding and actionable business insights beyond moderation. | Comprehensive risk-management environment where moderation is one component of a larger, closed suite. |
| Main benefit | Consistent, high-precision moderation with minimal setup, capable of capturing nuance, adapting across industries, and delivering insights at scale without operational overhead. | Centralised governance for organisations seeking a broad, compliance-driven trust & safety framework. |
| Potential limitation | Limited manual rule-based tuning, as quality relies on centralised expertise, continuous enrichment, and standardised frameworks rather than client-side configuration. | Low agility: configuration changes require manual intervention, increasing dependency on human processes and often additional costs. |
Why Bodyguard may be the right fit
Choosing the right moderation solution depends on what you want to achieve: speed, consistency, flexibility, or deeper audience knowledge. Bodyguard is designed for teams that need reliable automation, high contextual accuracy, and tools that go beyond simple detection.
Our technology analyses content with precision, adapts to your industry’s specificities, and stays aligned with real online behaviour thanks to continuous updates from our internal experts. This ensures decisions remain stable, scalable, and easy to manage.
Our analytics give you a clear view of your audience: what engages them, what triggers toxicity, and how sentiment evolves. This helps refine your narrative, strengthen community health, and make moderation a lever for brand strategy — not just a safety net.
Build or buy: making the right call
It’s natural to consider building your own moderation system. You know your brand, your audience, and your risks better than anyone.
But building an effective moderation solution requires far more than budget and goodwill. Even with strong internal talent, it demands years of engineering, iteration, real-world exposure, and infrastructure adaptability. Most teams underestimate the time, resources, and maintenance required — often leading to higher costs and weaker results.
Bodyguard, like other established providers, has spent years developing its technology:
- NLP teams monitoring social platforms daily
- Classification systems refined across industries
- Specialists focused on understanding harmful behaviour and audience signals
- Continuous improvements based on millions of interactions
This expertise is difficult and expensive to replicate internally. Buying isn’t a shortcut; it’s choosing a solution designed to solve the problem at scale.
Meet with a content moderation specialist
Discover how our hybrid moderation solution protects your communities while giving you the insights you need to better understand your audience and guide your actions.
Here's how your appointment will work:
- You choose your slot directly in the calendar, according to your availability.
- A Bodyguard expert will contact you to tailor the demo to your specific needs (platform, content type, volume, objectives).
- During the appointment, you will see real-time moderation, multimodal detection, and audience analysis dashboards in action.
© 2025 Bodyguard.ai — All rights reserved worldwide.