Ambient.ai reasons on every frame, on every camera.
Lumana's VMS detects first, then hands a clip to NVIDIA's video summarization blueprint to work out what it means. Ambient.ai is the only platform built on a reasoning Vision-Language Model (VLM) purpose-built for physical security, so understanding starts before the alert.
Why teams choose Ambient.ai over Lumana
alerts resolved in under one minute
Contextualized alerts with automated escalation take operators from detection to resolution in seconds, with a human in the loop.
fewer PACS false alarms
Using patented video and access correlation, Ambient Access Intelligence reduces total PACS alarm volume by 95% by clearing false alarms before operators see them.
faster investigations
Ambient's real-time stream indexing makes every camera searchable as video arrives, so investigations take minutes instead of days.
Where Ambient.ai keeps going and Lumana stops
Reasoning first, not after detection
Ambient reasons across every frame on every camera, with no sub-sampling, before any alert is raised. Thus catching pre-cursor events like tailgating, loitering, and door forced open before they escalate.
Lumana Core detects an event and extracts a clip, then NVIDIA's VSS blueprint reasons over that clip.
Alerts that you can trust, not additional noise
Ambient weighs location, behavior and intent before raising an alert, so it can differentiate between a delivery and a break-in. Every alert arrives with visual evidence, floor plan context and response options.
Lumana markets up to 90% fewer false alerts. Its G2 reviewers still cite inaccurate detection and unreliable alerts as a top complaint.
Coverage on day one, not prolonged implementation
More than 150 verified threat signatures work out of the box, from loitering in a restricted area to a brandished firearm.
G2 reviewers report about two months to implement, and describe alert tuning and a learning curve during rollout.
tiers of physical security
One Integrated Platform
Agentic Monitoring
AI surfaces what matters across every camera in real time. Your GSOC becomes an adaptive command center.
Agentic Investigations
AI reconstructs incidents across cameras, sites, and time. In seconds, not days.
Agentic Access Intelligence
AI correlates video with PACS data to validate or clear every alarm autonomously.
Agentic Threat Detection
AI detects and assesses 150+ verified threat signatures with contextual reasoning.
Agentic Response
AI initiates containment, escalation, and Live Audio Talk Down at machine speed, with human oversight at every step.
operationalize in hours, not months
Keep your cameras
Ambient runs on the cameras already installed. No rip-and-replace required.
Reasoning, live out of the box
Ambient starts reasoning on every stream immediately. Nothing to build, no per-site models.
Your team runs from one pane
Alerts, investigations, and PACS alarm-clearing land in a single Cloud SOC view. Keep your current VMS underneath, or consolidate onto Ambient Foundation on your timeline.
1. Ambient.ai capabilities and outcomes (150+ verified threat signatures, 95% PACS false alarm reduction, no facial recognition, no PII, SOC 2 Type II, Fortune 10 and Fortune 100 deployments): Ambient.ai platform documentation and Ambient Pulsar materials, 2026.
2. "Lumana Integrates NVIDIA Metropolis Blueprint for Video Search and Summarization", LinkedIn + Lumana Blog, Mar 2026.
3. Lumana reviews, and pros and cons summary: G2, 2026
4. Lumana integrations directory: Lumana webpage, 2026
5. Lumana FAQ: Lumana webpage, 2026
Start Your Path to Agentic Physical Security
The question isn't whether physical security needs to evolve. It's where your organization begins. Ambient.ai works with your existing cameras, VMS, and access control systems as a unified physical security platform. No rip and replace required.