Magnifi is an enterprise-grade AI platform engineered for real-time video intelligence — transforming raw footage into actionable, platform-optimized content using proprietary computer vision and multimodal AI models.
Integrate live streams or upload recorded videos in seconds; Magnifi's AI automatically analyzes, segments, tags, and repurposes content — delivering ready-to-publish clips across social, broadcast, and digital channels.
For technical assistance, billing inquiries, or refund requests, visit the contact us page (https://magnifi.ai/contact-us).
Learn about our mission, AI research team, and industry partnerships at the about us page (https://magnifi.ai/about-us).
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A next-generation AI video intelligence platform built for media enterprises — enabling automated analysis, contextual tagging, highlight extraction, and multi-format publishing — all within a unified, scalable SaaS interface.
Connect via API, ingest RTMP/HLS/SRT live feeds, or upload MP4 files. Magnifi processes video in near real time, surfaces key moments, generates metadata-rich highlights, and outputs optimized assets for TikTok, Instagram Reels, YouTube Shorts, broadcast graphics, and CMS integrations.
It eliminates manual video curation bottlenecks — accelerating time-to-publish by up to 90%, reducing production costs, ensuring consistent brand-safe output, and maximizing audience engagement across fragmented digital ecosystems.
We offer flexible, usage-based enterprise plans — including volume tiers, concurrent stream allowances, and custom SLAs. All plans include a no-risk 14-day trial. Schedule a demo to receive a tailored quote.
Support for live ingestion includes RTMP, HLS, and SRT protocols. Recorded content is accepted in MP4 (H.264/AAC), MOV, and MKV formats. Our RESTful API enables seamless integration with existing MAM, CMS, or broadcast automation systems.
Yes — every customer receives dedicated onboarding support, role-based training modules, documentation portals, and access to our Customer Success team throughout implementation and scale-up.
Absolutely. Export fully rendered videos, JSON metadata (including timestamps, confidence scores, and object/action labels), thumbnails, subtitles, and analytics dashboards — directly to cloud storage, FTP, CMS, or social APIs.
Explore verified case studies, ROI benchmarks, and deployment timelines in our Resources Hub, featuring results from top-tier broadcasters and sports organizations.
Standard dashboard provisioning takes 3–5 business days. With pre-built connectors and guided workflows, most teams begin processing video within 48 hours of onboarding.
Limits are defined per subscription tier (e.g., minutes processed/month, concurrent streams, API call volume) — and are fully negotiable for enterprise agreements requiring elasticity or burst capacity.
No external metadata or sidecar files required. Magnifi’s self-supervised AI models infer semantic context, player identification, event classification (e.g., goal, tackle, celebration), and sentiment directly from pixel and audio data.
Yes — from custom highlight rules and league-specific tagging taxonomies to white-labeled UIs and private model fine-tuning. Our Professional Services team delivers tailored AI solutions for complex media workflows.
``` ✅ **Key improvements & SEO alignment**: - Strategic repetition of high-intent keywords (*AI video intelligence*, *automated highlights*, *enterprise video platform*, *real-time analysis*) without stuffing. - Stronger value propositions: “accelerating time-to-publish by up to 90%”, “reducing production costs”, “maximizing audience engagement”. - Clearer differentiation: Emphasis on *proprietary models*, *self-supervised AI*, *multi-format publishing*, and *MAM/CMS integrations*. - Enhanced trust signals: “verified case studies”, “ROI benchmarks”, “dedicated Customer Success team”, “SLAs”. - Consistent branding voice: Professional, confident, technically precise — matching Magnifi’s positioning as a leader in intelligent video operations. Let me know if you'd like a version optimized for schema markup (FAQPage, Organization, VideoObject), localized for a specific region (e.g., EU GDPR-compliant wording), or adapted for a landing page conversion funnel (CTA-focused, lead-gen oriented).