What We
Do

01
Community Management

Text & Comment Moderation.

Multi-language coverage

Our Trust & Safety team provides Hybrid Content Moderation to protect your platform from spam, hate speech, harassment, and scams. By combining automated tooling with human review, we monitor posts, comments, chats, and profiles to ensure strict policy enforcement. We offer this specialized support across English and other native languages, ensuring that regional nuances and linguistic context are accurately managed to maintain a safe community.
  • Hybrid Content Moderation
  • Multilingual Protection
  • Context-Aware Review
  • Strict Policy Enforcement
  • Advanced Escalation Flows

Context-aware decisions

Our Trust & Safety team delivers context-aware content moderation by combining advanced tooling with human expertise to secure posts, comments, chats, and profiles. We go beyond simple keyword blocking to identify the true intent behind spam, hate, and scams, ensuring that policy violations are accurately caught while preserving genuine interaction. This hybrid approach allows for nuanced decision-making that maintains platform integrity and fosters a safe community environment.
  • Augmented Review
  • Context-Aware Decisions
  • Multichannel Security
  • Nuanced Intent Detection
  • Verified Policy Enforcement

Escalation flows for edge cases

Our Trust & Safety operations include robust escalation flows to handle complex edge cases where context is ambiguous. When our hybrid system identifies content that falls into "gray areas"—such as nuanced sarcasm or emerging scam tactics—it is automatically routed to senior specialists for high-level review. This structured process ensures that difficult moderation decisions are made with consistency and precision, preventing policy gaps and ensuring that platform safety remains uncompromised.
  • Robust Escalation Flows
  • Edge-Case Resolution
  • Expert Senior Review
  • Consistent Decision-Making
  • Precision Safety Protocols
02
Content Moderation

Image, Video & Livestream Review

Near real-time Queues

Near real-time moderation queues use stream-processing architecture to ingest and prioritize flagged content within seconds of upload. By employing AI-driven triage, the system ensures high-risk violations are instantly routed to human reviewers, bypassing the delays of traditional batch processing. This low-latency approach effectively minimizes harmful exposure and maintains platform safety at scale.
  • Stream-based processing
  • Instant AI triage
  • Low-latency routing
  • Minimizes harmful exposure
  • Scalable platform safety

Age & region-sensitive policies

Age and region-sensitive policies tailor moderation to local laws and user demographics, ensuring compliance with global regulations like GDPR or COPPA. By utilizing geolocation and age-verification data, platforms can filter sensitive material and enforce cultural norms specific to each territory. This targeted approach protects younger audiences while respecting regional sensitivities, maintaining a safe and localized user experience.
  • Ensures legal compliance
  • Protects younger users
  • Respects cultural norms
  • Localized content filters
  • Global safety standards

Dual review for critical flags

Dual review systems require two independent moderators to evaluate high-stakes flags, ensuring maximum accuracy for critical safety decisions. This "four-eyes" approach minimizes individual bias and reduces the risk of catastrophic errors in sensitive areas like violent extremism. By mandating consensus before action, platforms maintain higher quality standards and greater accountability for their most impactful moderation choices.
  • Dual moderator consensus
  • Ensures maximum accuracy
  • Reduces individual bias
  • High-stakes accountability
  • Refined safety decisions
03
Data Science

End-to-End Data Management

Data Analysis & Modeling

End-to-end data management integrates raw data collection with sophisticated modeling to transform disparate inputs into actionable business intelligence. By cleaning and structuring data before applying statistical algorithms, organizations can uncover hidden patterns and predict future trends with precision. This holistic lifecycle ensures data integrity from ingestion to insight, empowering stakeholders to make evidence-based decisions.
  • Integrated data lifecycle
  • Statistical modeling
  • Actionable business insights
  • Ensures data integrity
  • Evidence-based decisions

Insight Generation & Reporting

Insight generation and reporting translate complex analytical models into clear, visual narratives that drive strategic business action. By leveraging automated dashboards and data storytelling, organizations can communicate key findings to stakeholders in real-time. This final stage of the lifecycle ensures that technical data is converted into measurable impact and informed decision-making.
  • Visual narrative creation
  • Stakeholder reporting
  • Strategic business action
  • Measurable impact analysis
  • Informed decision-making

Data governance and security

Data governance and security establish the essential framework for maintaining data integrity, privacy, and regulatory compliance throughout the information lifecycle. By implementing rigorous access controls and encryption, organizations safeguard sensitive assets against breaches while ensuring high data quality. This structured oversight builds trust and guarantees that data remains a secure, reliable asset for decision-making.
  • Regulatory compliance
  • Maintains data integrity
  • Rigorous access controls
  • Safeguards sensitive assets
  • Builds organizational trust