We build AI for streaming platforms, content libraries, and consumer media apps. Scene tagging, clipping, dubbing, captions, promo cuts, on-device inference, signed provenance. Catalog work that moves the numbers paying for the catalog: CPMs, fill rate, watch-time, trial conversion. Apps that actually ship.
Research, ML engineering, backend, mobile, and design under one roof. Thirteen practices in total. You can engage us on any single one or string several together. Each engagement comes with a deploy URL, a build number, or both.
Frame-level object, scene, and dialogue understanding for OTT catalogs. Temporal-spatial metadata, rights-aware exports, and downstream feeds for content ops, ad sales, and search. The data layer that ad sales has been asking for.
Bulk short-form generation for streaming catalogs. Drives social tune-in to the catalog and lifts SVOD trial conversion. Tuned for Korean, Japanese, Chinese-language, and English long-form. Editors keep the final say on every clip.
Native media apps with on-device inference: CoreML, MLX, MediaPipe, ONNX. Recording, transcription, replacement, super-resolution. Designed offline-first and shipped to both stores. The cloud GPU bill stays small.
When off-the-shelf doesn’t fit. Bespoke inference pipelines, fine-tunes, evaluation harnesses, internal tooling. We staff the seam between research and production so a line in a paper turns into a line in your delivery spec.
Voice-faithful dubs at season scale. Lip retiming, M&E stem isolation, QC that runs alongside your existing localization vendor. 30+ languages, which is the cheapest way to grow addressable audience for a back-catalog title.
Captions, SDH, and audio description that meet ADA Title II, the EAA, and platform spec. Whisper-class ASR, frame-aligned timing, operator review only on exceptions. Unlocks the audience segments your accessibility lead has been flagging.
Promo cutting that reads pacing, beats, and music cues. Drafts trailers, teasers, key-art motion, and per-territory variants for editor sign-off. Cuts marketing turnaround and opens promo coverage on the long tail your team can’t staff.
HLS, RTMP, or SRT in. Vertical highlights out, event-triggered (goal, wicket, breakaway), multilingual, with auto-publish to social and OTT. Built to drive same-day tune-in and post-event sponsor inventory.
Mood, scene, and brand-safety signals packaged for programmatic CTV. Lifts CPMs on premium inventory, opens fill from blue-chip brands that won’t buy uncertified context, and stays PII-free. IRIS_ID-compatible. Ships into Samba, GumGum, Wurl, or your own SSP.
Lip-sync checks, subtitle-timing validation, spoken-language verification, loudness and burnt-in conflict detection. Sits next to Vantage or Pulsar in your QC pipeline rather than replacing them. Stops the rejection-and-redeliver cycle that bleeds margin.
C2PA 2.1 manifests at ingest, signed edit chains through the DAM, SynthID and AudioSeal on AI-touched assets. Built around EU AI Act Article 50 (in force August 2026) so a compliance miss never delays a delivery.
Scene-essence vectors for “more like this” rails, mood search, and editorial collections. Exports to Personalize, FAISS, or pgvector. Drives session length, completion rate, and SVOD retention without forcing a recsys re-platform.
Text-prompt mask and track for compliance blurs, logo swaps, talent scrubs, and VFX prep. Built to run across thousands of episodes with masks that survive cuts. Also the substrate for in-scene product placement when sponsorship comes calling.
Two flagship products, plus client work under NDA across U.S. and Asian streaming. Each one runs against real catalogs and is paid for by a real P&L line.
Pulls the high-engagement moments out of long-form OTT libraries. Platform-ready TikTok, Reels, and Shorts at ~200hr/day, with editor sign-off. Drives social tune-in on the catalog you’ve already paid for.
Read the caseAPI layer for VPP partners, ad-tech, and post-production. Object taxonomy with temporal-spatial metadata, plus a replacement-ready downstream pipeline. The data underneath premium contextual inventory and direct-sold scene-level packages.
Read the caseWe’re AI-native. We work in frames rather than slides, ship code rather than decks, and treat models as interchangeable components.
Every engagement runs the same loop. The team that writes the eval harness is the team that ships the iOS binary, which is how we keep the gap between research and production tight.
We take a small number of engagements each quarter. Mostly OTT operators, content studios, post houses, and product teams shipping consumer media apps.
If you have a long-form catalog, an editorial bottleneck, an unsold AVOD pod, or an AI app that needs to be on the store this quarter, write us. Replies inside two business days.