Consumer traffic doesn't wait for QA.
An AI operating system for media and social platforms — moderation, recommendations, and creator tools built to hold at consumer scale.
We've built social apps and media platforms through multiple platform shifts — live streaming, VOD, community products — and the AI operating system now running underneath them: moderation pipelines that scale with the community instead of a blunt keyword filter, recommendation ranking tuned to engagement quality rather than raw clicks, and generative creator tools for editing, captioning, and repurposing. Infrastructure that's already served consumer-scale traffic, not a pilot.
Part of
Media & Social Platforms is one vertical view of a single system. The layer underneath — retrieval, scoped permissions, evaluation, and the audit trail — is the same one we build in every sector.
Where AI earns its keep.
The workflows in media & social platforms where AI does real work today — not a someday roadmap, the jobs it can take off your plate now.
Content moderation
AI-assisted moderation pipelines with human review tiers — safety at scale without over-blocking.
Recommendations
Feed and discovery ranking tuned to engagement quality, not just clicks.
Creator tools
Generative assistance for content production: editing, captioning, repurposing.
Streaming infrastructure
Low-latency live and VOD pipelines with global delivery economics.
Don’t take our word. Take the call.
3 of the agents above, live in your browser right now. Pick the job you actually need covered, press call, and talk to it the way your customers would — objections included.
A real agent, not a screenshot. Give it something to work on and watch what it does — including what it refuses to guess at.
Live agents on fictional businesses and invented records. Nothing you say or paste here is recorded or stored — it lives in this tab and dies with it. A production deployment runs on your data, your systems, and your policy.
A piece of content, from upload to moderation decision
Not a feature list — the mechanism, step by step, from trigger to logged outcome.
Classify
Every upload — text, image, video — runs through classifiers scored against your policy categories, not a blunt keyword filter. Clear cases resolve immediately in either direction.
Route
Confident violations get actioned automatically per policy. Borderline cases route to a human review tier with the specific signal that triggered the flag already attached, not a raw queue.
Decide
A human makes the final call on anything ambiguous — the model narrows the queue to what actually needs judgment, it doesn't get to over-block a community on its own.
Feed back
Reviewer decisions and appeal outcomes feed back into the classifier's tuning, so the false-positive rate is a tracked, improving number rather than a fixed guess.
Work in media & social platforms.
Cove — Home Security Platform Consolidation
Operator portal, headless CMS, and marketing platform for a US home-security device ecosystem — three disconnected systems consolidated into one operator experience.
FeedDrop — AI Social Content Creation Platform
An AI-powered social platform where users generate videos and memes from prompts, share them on a TikTok-style feed, and remix each other's work into viral chains — with portfolios and admin moderation built in.
ReUniting AI — Interactive AI Companions
A platform that turns recordings of loved ones into interactive AI companions: hyper-realistic video avatars and near-human voice cloning, delivered through real-time chat and voice — with consent and privacy engineered in from the start.
Every figure has a name behind it.
No rounded-up vanity metrics — each number below is tied to a specific, named engagement you can open and read.
Tell us which part of media & social platforms is the bottleneck.
Built for the rules of your industry.
Services that fit this industry.
What it plugs into.
An AI operating system only earns that name if it runs inside the systems you already have — not beside them.
Asked before the contract, not after.
Not with a confidence threshold in place — the classifier resolves the clear cases and routes anything borderline to a human reviewer with the specific flagged signal already attached, so the model narrows the queue instead of making the call alone. Reviewer decisions then feed back into the classifier, so the false-positive rate is tracked and improves over time.
That's the same infrastructure question as the streaming and delivery side of the platform, and it's tested the same way — the classification and routing pipeline is built to the same low-latency, consumer-scale standard as the rest of the stack, not bolted on as a separate, slower service.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.