What we build / Social · community

Social · communityDedicated podAI-native

Social apps built for the hard parts.

Real-time feeds, in-app messaging, AI-powered trust and safety, community moderation — the layers that make or break a social product. We build the engineering others skip and ship social apps built to scale.

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What we build

Every layer a social product needs.

Real-time feeds & messaging

Low-latency feeds, chat, and push notifications that hold up under load.

AI trust & safety

Behavioural analysis, red-flag detection, and moderation — built to run automatically.

Community & profiles

Rich user profiles, follow graphs, groups, and discovery systems.

Moderation tools

Reporting, escalation, and human-in-the-loop workflows for content review.

How we build it

AI-native delivery, governed by architects.

01DiscoveryAI-augmented scoping with senior architects
02ArchitectureSystem design + security, governed
03BuildAI pair-programming, every commit reviewed
04QA gateAutomated testing + expert review
05OperateMonitoring, iteration, continuous delivery

The same five-step delivery model behind every Wegile build. Not an AI wrapper — a production AI team.

Under the hood

Built for real-time scale.

Real-time feedsAI safetyPush notificationsSwiftKotlinReact NativeNode.js · NestJSRedisPostgreSQL · AWS

Social architecture engineered for real-time scale, AI safety, and the moderation your platform requires.

Questions social app buyers ask us

Before you start. Straight answers.

How do you build moderation at scale?

Automated pre-moderation using AI classifiers on submitted content, combined with a human escalation queue for edge cases, reporting flows, and a decision audit trail. We build the moderation tooling alongside the product — not as an afterthought.

How do you architect for rapid user growth?

Horizontal scaling from the start — stateless application servers, Redis caching, read replicas, message queues for async workloads. We design for your 10× user scenario at the architecture stage, so growth doesn't require a rebuild.

Can you add AI safety features to an existing social app?

Yes. Behavioral analysis, red-flag detection, and automated moderation workflows can be added to existing social products. Cray's AI safety system shows what this looks like in production.

What happens after launch?

The same pod maintains the platform — real-time infrastructure, moderation tooling updates, OS updates, and new feature development.

Building a social or community app? Let's build the hard parts right.

Response within 24 hours. After the architecture call, a named pod and day-one plan arrive within 4 business hours.

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