T7 builds AI systems for publishers, OTT platforms and studios — from generative production pipelines to recommendation and moderation at scale.
Media companies are being squeezed on both ends — production costs are rising while personalisation demands multiply. T7 Solution ships AI systems that lift production throughput, enrich back-catalogues and personalise every surface without diluting the brand.
We build generative pipelines for editorial, subtitles and dubbing, plus recommendation systems trained on your first-party data. Every model ships with brand-safety guardrails and rights-aware retrieval.
Deployments integrate with your MAM/DAM, CMS and CDN layer, and respect content licensing boundaries by default.
Editorial, subtitles and marketing collateral eat budget that could fund original content.
Legacy archives are unsearchable — metadata is thin or missing, so back-catalogue monetisation stalls.
New users see generic feeds; personalisation only kicks in after weeks of behaviour.
UGC platforms need moderation across languages, formats and jurisdictions 24/7.
Draft articles, subtitles, dubbing scripts and marketing copy with brand-voice guardrails.
Auto-tag video and audio catalogues for search, discovery and rights management.
Personalised feeds, watchlists and next-episode suggestions on your first-party data.
Text, image and video moderation with brand-safety and regulatory guardrails.
Production-grade GPT, Claude, Gemini and open-source LLMs — grounded in your data.
Explore serviceCustom vision models for quality control, retail analytics, medical imaging and more.
Explore serviceProduction ML for forecasting, churn, risk and pricing — trained on your data.
Explore serviceCustom AI chatbots trained on your data — web, WhatsApp, Slack and beyond.
Explore serviceExplore how T7 Solution delivers media & entertainment AI locally — with on-site discovery, compliance patterns and language coverage tuned to each market.
Yes. We fine-tune or heavily prompt-tune on your style guide plus past editorial, and every draft is human-reviewed before publish.
Yes — we run scene detection, ASR, OCR and object detection to auto-generate metadata, then push it back into your MAM.
Retrieval and generation are scoped to licensed sources only. Rights metadata gates what surfaces where and to whom.
Provenance tracking (C2PA-friendly) plus watermarking on generated media, and moderation classifiers on ingest.
Use cases, insights and comparisons chosen for media & entertainment teams evaluating AI.
AI for talent, onboarding and employee self-service.
A copilot that drafts, researches and updates the CRM — so reps sell.
Turn every call into structured decisions, actions and CRM updates.
Every millisecond in the voice loop, from mic capture to first spoken token — and where sub-800ms voice agents actually save time.
pgvector, Pinecone, Weaviate, Milvus, Qdrant, LanceDB — a decision matrix for enterprise RAG teams in 2026.
How to choose between retrieval-augmented generation and fine-tuning
How OpenAI's GPT models compare to Anthropic's Claude for enterprise workloads
Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.