Moderation at scale
Manual review cannot keep pace with reports, content and edge cases.
Industry / Social Media
Social platforms balance growth, moderation, creator tools and trust. We build the product and data systems behind them.
Discuss your social media project ↗A practical point of view
Creators expect useful tools. Members expect a safe experience. Teams need moderation, analytics and experimentation that keep up with both. Those needs pull on the same product and data foundations.
We build platform capabilities and internal tooling that help social products grow without losing clarity or control.
The challenge
These are the recurring friction points we hear from teams in this sector. The right starting point is the one with a clear operational cost.
Manual review cannot keep pace with reports, content and edge cases.
Creators lack the workflow and insight they need to stay engaged.
Feed, ranking and engagement changes are difficult to test safely.
Product, trust and commercial metrics do not share a reliable model.
Policies, escalations and audit records are managed across disconnected tools.
Early architecture decisions make new features expensive to ship.
What we build
We start with the workflow, then choose the right mix of product engineering, integration, data and AI. No platform theatre.
Build and evolve the core experiences members and creators use every day.
Give trust and safety teams a clearer queue, policy context and audit trail.
Make product changes measurable and easier to evaluate.
Use AI to support triage, summarisation and creator workflows with human oversight.
Give internal teams the tools they need to support a growing community.
Use cases
Not every engagement needs a platform. These are the focused starting points that often create the clearest first win.
Create a focused social experience with the product, safety and data foundations to grow.
Support discovery, collaboration and commercial workflows for creators.
Replace inbox-based review with structured queues, policy context and audit history.
What changes
We agree the operational change we are aiming for before we build, then instrument the work so progress is visible.
Clearer triage and policy context help teams respond consistently.
Better tooling reduces the manual work between report and decision.
Creators get the workflow and insight they need to keep contributing.
Experiments and product metrics are easier to interpret and act on.
Questions
Yes. We build moderation queues, policy workflows, escalation paths and audit trails around the decisions your team already needs to make.
Either, or both. The important part is that member experience, creator needs and internal operations share a coherent foundation.
AI can support triage and summarisation, but high-impact decisions need clear policy, human review and an audit trail.
Yes. We can extend current product capabilities, improve internal tooling or help modernise the parts that constrain growth.