Transform Media Workflows
with Human-in-the-Loop AI Solutions
You have 200,000 uploads a day hitting your moderation queue, producers waiting on archive pulls that take hours, and a localization backlog that means half your catalog still isn't available in your top five territories. We build AI that plugs directly into your MAM, your NLE workflows, and your delivery pipeline -- handling the volume while your team focuses on the creative and editorial calls that actually need a human.
* We propose our solution free of charge, with no hidden fees or commitments.
Where the Hours Go
Every content ops team has the same bottlenecks: moderation queues that never shrink, highlight turnarounds that miss the social window, archive searches that turn into archaeological digs, and localization backlogs that leave revenue on the table. Here is how we fix each one.
Video Content Moderation
Your trust & safety team is drowning in 200,000+ uploads a day, and the manual review queue only gets longer. Our system runs frame-level analysis for violence, nudity, hate speech, and content ID matches -- auto-clearing 80% of clean content so your reviewers only see the genuinely ambiguous cases. At platform scale, that is $125M a year back in your budget and a moderation team that can actually focus on policy-level decisions instead of scrubbing through obvious passes.
Sports Highlights Generation
In live sports, whoever posts the highlight first owns the social conversation -- and 80%+ of engagement goes to the first clip out. Right now your operators are manually marking in-points and out-points, transcoding to ProRes, then cutting separate versions for broadcast 16:9, TikTok/Reels 9:16, and OTT packages. We detect scoring plays, crowd noise spikes, and celebrations in real time, then auto-export clipped packages in every format within 47 seconds of the event. Your social team posts while the replay is still running on air.
Archive Search & Discovery
Your archive team has 500,000 hours of footage sitting on LTO tapes and MAM systems, and when a producer needs "helicopter shots of flooding in the Southeast," someone spends two hours scrubbing through clips with incomplete metadata. Meanwhile the editor is waiting in Avid, the deadline is in four hours, and if they cannot find the footage, they will reshoot at $15K a day. We index every frame by visual content, dialogue, scene type, and objects -- turning that two-hour dig into a 45-second natural language query. That is $832K a year in archive labor savings and reshoot costs you never have to eat.
Netflix specs require timed text in 30+ languages. Disney+ has its own captioning standards. Every territory has CALM Act or EBU R128 loudness requirements, and your closed captioning needs to meet FCC accuracy thresholds -- not to mention SDH and descriptive audio tracks. We handle speech recognition, speaker diarization, and simultaneous translation into 10+ languages, delivering 52 hours of localized content in 6 hours instead of 4 weeks. Your localization vendor bill drops by $7M a year, and your catalog actually reaches the territories where you hold rights.
AI Subscriber Support
Your call center handles 1.5M+ contacts a year, and most of them are the same five issues: billing disputes, password resets, playback troubleshooting on specific devices, plan changes, and cancellation requests. Your agents are spending 8 minutes per call on problems that have a deterministic resolution. Our voice and chat AI resolves 70% of these contacts automatically, drops average handle time to under 2 minutes, and saves $4.3M a year -- while actually reducing churn, because subscribers get instant resolution instead of sitting in a hold queue during a premiere night surge.
Built for Broadcast-Grade Security & Compliance
Audited controls that pass your infosec team's vendor review
Data residency and right-to-erasure handling for EU territories
CALM Act loudness, LKFS targets, and captioning accuracy thresholds
DRM, watermarking, and rights window enforcement across territories and holdback periods.
Role-based permissions so your post team, archive staff, and external vendors see only what they need.
Full chain-of-custody logging for every asset touch, from ingest to delivery.
How We Work
We sit with your ops team, map the actual workflow, build against your real specs, and go live. No six-month discovery phase.
Workflow Audit & Gap Analysis
We embed with your content ops, post-production, and distribution teams to map every step from ingest to delivery. We identify where hours are burning -- moderation queues, archive searches, transcode bottlenecks, localization handoffs -- and scope the fix. This assessment is free, no strings attached.
Build Against Your Specs
Once you greenlight, we build against your actual delivery specs -- whether that is AS-11 for broadcast, IMF for theatrical, Netflix's content hub requirements, or your internal ProRes/DNxHR proxy workflow. We train on your content types, your moderation policies, your territory restrictions.
Integration & QC
We connect via API into your MAM, your NLE pipeline, and your distribution platform. Then we run QC against real content -- checking accuracy across your actual content mix, verifying CALM Act and LKFS compliance, and stress-testing at your peak ingest volume before anything goes live.
Go Live & Iterate
You get live dashboards showing throughput, accuracy rates, and flagged edge cases. The system learns from every human review decision your team makes, so accuracy tightens over time. Full audit trails for every asset touched, every moderation call, every delivery.
Stop Burning Budget on Manual Workflows
Your moderation queue, your archive searches, your localization backlog, your highlight turnaround -- we have seen these problems at every broadcaster and streaming platform we have worked with. Let us show you exactly where the hours are going and what the fix looks like.