Universal Media Taps
Live media inProgram thru
Audio
Video
Metadata
Real-time media intelligence
Broadcast, meet Sense
Private, local AI built to handle live streams
trkA01PID 256AMS-CANAL-01 — Amsterdam Centrum
Trusted by teams at organizations like
Partner and customer logos: Google for Media, Azure for Media, Intuit, UCLA, and Column Five Media.
The platform
Tap. Sense. Act.
Sense can see, hear, and understand your live media. Private, local AI models analyze each feed while Navi coordinates Senses and workflows so teams can troubleshoot and correct issues before viewers notice.
Private, local AI models
PrivateRuns locally
Audio
Video
Metadata
Analyzing continuously
Navi orchestration
Sense findingsCustomer workflows
NaviCoordinates Senses + workflows- Troubleshoot
- Correct
- Route workflows
Every signal. One intelligence layer.
Multilingual by default
Monitor and search across language tracks and regional variants — one policy set, one surface.
Tuned to your content
Models fine-tune on your library and your live traffic — on your hardware, not a vendor's cloud.
Modular by design
Start with the Sense your highest-risk window demands. Add more without re-platforming.
Ask the archive
Semantic search across everything you have aired — answers cite master timecode.
Operator assist
Playbooks, clips, and citations surface beside the alert — when seconds matter.
Routing with guardrails
Incidents, tickets, and approvals hand off automatically — humans stay in the loop where it counts.
9 Senses, full broadcast coverage
Language, captions, audio, picture, safety, and more. Each Sense watches one job on every feed so the desk catches what meters and eyeballs miss, while the show is still live.
Experience the Senses
Amira Sense, agents across your media supply chain
See
Listen
Understand
Act
Sense monitors for quality and compliance, understands language, topics, music, and safety, and generates captions, metadata, and post outputs. Models run locally and tune to your workflows.
Why broadcast operations leaders choose Sense
One platform for VP Operations and VP Broadcast Engineering. Host how you want.
Run AI on your terms
VP Broadcast Engineering- Your infrastructure, your models
- Adapts to your content over time
Your data stays yours
VP Operations- Content never leaves your facility
- Fine-tune on your own media
Predictable economics
VP Operations- CapEx hardware, not per-token bills
- One platform replaces 5+ vendors
Built for 24/7 live
VP Broadcast Engineering- Sub-second latency
- Runs where your content runs
The industry's only end-to-end on-prem AI platform for broadcast
Flagship agent
Navi watches and understands broadcast
The first AI agent that actually watches your feeds, not a chatbot bolted on top. Ask it anything in plain language, and it answers from what it sees across every tap.
- Watches every tap, 24/7. It catches latency, packet loss, caption errors, and dead air before your phone rings.
- Answers in plain language. “Which taps are showing Thursday Night Football?” Ask it the way you would ask an operator.
- Acts on your workflow. Escalate, annotate, or route the moment something drifts off-spec.
No general-purpose LLM can watch a live stream and flag the moment something happens. Navi does, running on your own infrastructure with no per-token cloud bills.
Fluent in50+ languagesFCC & EBU complianceSMPTE standards
Where Sense earns trust first
Nine verticals. Each leads with a customer outcome, then the Sense mix that delivers it. Correlation across Senses is the product, not nine disconnected features.
The economics
Flat rate. 24/7. No per-token bills.
Three monitoring shifts cost roughly $195k per year. Amira Sense covers the same feeds around the clock for a fraction — with no cloud egress, no AI token costs, and no call-out fees.
3-shift 24/7 staffing
~$195k/yr
Typical annual saving
~$185k
Amira Sense (same coverage)
~$10k/yr
Illustrative. Actual pricing varies by track mix and term. See pricing for details.
See the proofBuilt for live pressure
“Before Sense, the first ten minutes of an incident were spent agreeing on what actually happened. Now the timeline already has the evidence. My team spends less time reconstructing the problem and more time fixing it.”
- Earlier signal
- Faster handoffs
- Defensible trails
We've got answers
Ready for calmer control rooms?
Create an account, size your tracks, and subscribe. We provision your on-prem license after checkout.