Turn video intointelligence.
Analyze every video — what's said, what's shown, what happens — into structured, searchable intelligence for your teams. In minutes.
See it work
One engine. Different kinds of video. Same structured output.
Broadcast, creator content, security cameras, retail CCTV — feed it anything that looks like video and we hand back structured signal in the language your team already uses.
Studio segment — interview
- Scenestudio set · two speakers
- Logoon-screen brand — desk placement00:03
- Exposure4.2s · 6% of frame area
- Speechhost + guest, diarized
“…and this next segment is brought to you by…”
Built for speed
Hours of video. Minutes of analysis.
Our solution ingests video live and returns structured intelligence in minutes, not hours. Point it at a single stream or a years-deep archive — the same pipeline handles both, with no upper bound on length.
01 · pipeline
Live, not overnight
Analysis runs as footage is ingested — frames, audio and on-screen text indexed in-stream. Events surface during the broadcast, meeting or shift, not the morning after.
02 · pipeline
Hours into minutes
Our extraction pipeline runs every signal in parallel across the timeline, so long-form video clears in a fraction of its runtime. A morning's footage is queryable by lunch.
03 · pipeline
Any length, any depth
From a thirty-second clip to a years-deep archive — the same pipeline. Point it at a single stream or a full library and get one structured, searchable index out the other side.
How we work
Two paths. One engine.
From discovery to actionable intelligence — for public platforms or your own footage.
step 01 · discovery
We start with your problem
Whether you need to monitor public platforms or analyze your own footage, we shape the pipeline to your workflow. One discovery call, one solution — your taxonomy, your sources, your acceptance criteria.
path a · public platforms
Brand & PR monitoring on public platforms
Search and analyze video mentions across YouTube, TikTok, Instagram Reels, Twitch and X. Sentiment, fact-checks, exaggeration detection — surfaced in minutes, not days.
path b · your footage
Analyze your own footage
Live broadcasts, security feeds, retail CCTV, or years-deep archives — the same pipeline reads them all. Brand exposure, compliance, contextual ads, archive search.
One engine
Any vertical.
The same model that watches creator videos for a brand team watches a factory floor for a safety officer. Different cameras, different taxonomies, same underlying intelligence.
Retail asset protection
Retail
Theft, sweethearting, ORC patterns, exit-without-pay — caught on the store cameras you already own, surfaced to loss-prevention before damage scales.
Comms · PR · in-house teams
Brand & PR monitoring
Every mention, logo, product placement, and creator claim across YouTube, TikTok, Twitch and X — read end-to-end, not headline-only.
On-floor brand & venue ops
Brand & venue analytics
On-floor brand interaction, seat occupancy, time-of-service for hairdressers, clinics, and service venues — usable footfall from existing cameras.
Government & regulators
Public institutions
Municipal CCTV, traffic incidents, regulator monitoring, public-safety dashboards — proactive intelligence from infrastructure you already operate.
Media · PR · intelligence
Agencies
Multi-client monitoring across earned media, broadcast, and social video — billable reports your team can ship the same morning, not the next quarter.
Bring your own
Your vertical, your taxonomy.
The engine is one thing. The schema you map it to is yours — we onboard new verticals in two-week pilots, against your data and your ground truth.
Built for every team that watches
Different signals. Same engine.
Marketers, content moderators, loss-prevention leads, city operators, venue managers, agency analysts — one engine, every team's workflow.
Mentions feed
Brand mentions across YouTube, TikTok, Instagram, and X — in real time
Connect
Lives in the tools your team already uses.
Slack, Teams, Google Chat, webhooks, REST, your own stack — alerts and structured outputs land where work already happens. No new console to babysit.
Slack
Mentions, incidents, and alerts piped into the channels your team already lives in.
Discord
Bot-style hand-offs for community ops, creator teams, and platform trust workflows.
Microsoft Teams
Enterprise alerting with full thread context — no leaving the tab your operators run in.
Google Chat
Workspace-native handoff with shared spaces and per-vertical channels.
Webhooks
Push structured events into your SIEM, dispatch console, ticket system, or data warehouse.
REST API
Query mentions, signals, and frame-level intelligence directly — pagination, filters, and signed URLs.
Your stack
On-prem SIEM, custom dispatch, legacy ticketing — if it speaks HTTP or syslog, we can speak to it.
More footage than anyone can watch.
Phones, broadcast cameras, CCTV, drones, dashcams — every minute pours out more video than any team can watch. We read every frame, so yours doesn't have to.
Talk to salesWhy MediaIntel
AI engine for teams that can't afford wrong answers.
Video-first
Vision + audio read what text crawlers can't — the object in frame, the gesture between frames, the claim spoken aloud.
Grounded
Every claim cross-checked against sources you trust. Hallucinations caught before they reach the console.
Real-time
Sub-minute latency from frame to alert. Slack, email, webhook, SIEM, dispatch — whichever way your team already works.
Yours, configured
Bring your taxonomy, your policy doc, your camera fleet. The model adapts in days, not quarters.
FAQ
Questions teams ask before they commit.
Across marketing, trust & safety, retail, public safety, and venue/agency verticals — these are the ones that come up before a pilot.
Anything with frames and audio: public platforms (YouTube, TikTok, Instagram, X, Twitch), broadcast feeds, CCTV and IP cameras, drone footage, mobile uploads, archive libraries. Same pipeline reads them all — mapped to whatever taxonomy you bring.
Many verticals. One engine.
Stop watching. Start seeing.
Every minute, footage rolls past that would matter to someone on your team. The question isn't whether it's there — it's whether you know about it.