Product

Push notifications, in-app bells, email digests, SMS alerts, chat mentions... Modern apps live and die by their ability to notify users at the right moment with the right message. However, building a reliable, scalable notification system from scratch is a massive undertaking. Between real-time delivery, cross-channel orchestration, personalization, compliance, and the sheer volume of events

Online communities rely on moderation to function, yet every moderation decision carries significant ethical implications.  The platforms that choose to remove, allow, promote, or downrank content directly shape culture, discourse, and safety. As AI systems take on more moderation responsibilities and regulatory scrutiny increases, the stakes continue to rise. Ethical moderation is no longer only

ActiveFence is one of the leading trust and safety platforms for detecting harmful content across text, images, video, and audio. Its AI-driven models help platforms protect users from toxicity, misinformation, and abuse at scale. But it's not the only option available, and depending on your use case, it might not be the best fit. If

Real-time video has shifted from a "nice-to-have" feature to a core building block for modern apps, powering livestreams, virtual events, telehealth, gaming, creator tools, and on-platform communication. ZEGOCLOUD is one of the newer but fastest-growing platforms in this space, offering a broad suite of APIs for interactive video, voice, live streaming, low-latency messaging, and AI-driven

As online platforms strengthen their safety frameworks, malicious users respond with increasingly creative ways to evade detection. The rise of content moderation circumvention is not a surprise. Modern apps support global conversations at scale, and as moderation becomes more effective, the incentive to outsmart it grows. But circumvention isn't increasing solely because moderation is improving.

Trust and safety teams sit at the intersection of user experience, legal risk, and community health. Yet many teams still struggle to answer basic performance questions like: Is our moderation platform actually catching harmful content? Are we overblocking and frustrating good users? Are our tools paying off in time and cost savings? The only way

A new challenge is surfacing as AI-driven products become more complex. Not only are companies tasked with detecting harmful content, but they need to make moderation and model decisions more accountable, explainable, and fair. That's the problem Checkstep set out to solve. Checkstep sits at the intersection of trust and safety and AI governance, helping

Content moderation is at a critical juncture. The amount of user-generated content has exploded across chat, activity feeds, gaming environments, livestreams, and marketplaces. Every interaction has become an opportunity for connection, but also an opportunity for harm. At the same time, regulation is increasing worldwide, and user expectations for safety are higher than ever. Trust