Ambient.ai
by Ambient.ai
Agentic physical security: vision-language models that watch every camera continuously
Ambient.ai is an enterprise physical-security intelligence layer that runs vision-language models over an organisation's existing cameras and access-control systems to detect threats, cut false alarms and accelerate forensic investigation. It is built for corporate security operations centres at large enterprises that already own the hardware and need the analyst hours back.
Ambient.ai, founded in 2017 by CEO Shikhar Shrestha and CTO Vikesh Khanna and headquartered in Redwood City, California, sells an intelligence layer for enterprise physical security rather than cameras or access control of its own. The platform ingests feeds from an organisation's existing estate — it integrates with Genetec, Avigilon, Bosch, Honeywell, Hanwha, Hikvision, Brivo, Software House, Allegion and 200+ ONVIF camera models — and applies computer vision and vision-language reasoning to identify hundreds of threat signatures continuously, rather than relying on analysts watching walls of monitors. The product line comprises Ambient Foundation as the core platform, Ambient Threat Detection for 24/7 monitoring, Ambient Access Intelligence for reducing access-control alarm noise, and Ambient Advanced Forensics for accelerated post-incident video investigation; agentic video walls and case management shipped in February 2026, and the company has introduced Ambient Pulsar, an edge-optimised frontier reasoning vision-language model purpose-built for physical security. AI processing runs on dedicated edge appliances installed at each site. The platform processes more than 200 million video hours and over 10 billion events per day. Named customers include Cisco, ServiceNow, SentinelOne, TikTok, Adobe, VMware, Impossible Foods and Norwalk Public Schools; ServiceNow reported a 94% false-alarm reduction and 15,069 hours of manual triage saved. Ambient.ai doubled new annual recurring revenue in FY26 versus FY25 with multiple Fortune 100 customers expanding to seven-figure contracts, and in March 2026 signed a global reseller agreement with Securitas Technology, which operates in 40 countries.
The corporate security or GSOC leader at a large enterprise that already runs hundreds or thousands of cameras and an access-control system, and whose analysts are drowning in false alarms rather than short of footage.
Continuous automated monitoring of every camera with dramatic false-alarm reduction — ServiceNow reported 94% fewer false alarms and 15,069 analyst hours saved.
At a Glance
- Category
- Governance & Security
- Pricing
- Contact for pricing, Subscription
- Target Market
- CISOs, Corporate Security Directors, CIOs, Facilities and GSOC Leaders
- Deployment
- Hybrid, Edge-first
- Founded
- 2017
- Headquarters
- Redwood City, California, United States
- Customers
- Not disclosed; named customers include Cisco, ServiceNow, SentinelOne, TikTok, Adobe, VMware, Impossible Foods and Norwalk Public Schools, with multiple Fortune 100 accounts at seven-figure contract value
Key Features
- ✓Ambient Threat Detection
Monitors every camera 24/7 for hundreds of threat signatures, replacing analysts who can only watch a fraction of feeds.
- ✓Ambient Access Intelligence
Correlates video with access-control events to cut the door-alarm noise that consumes most security operations centre time.
- ✓Ambient Advanced Forensics
Accelerates post-incident video investigation across large estates, turning multi-hour manual review into a targeted search.
- ✓Ambient Pulsar
An edge-optimised frontier reasoning vision-language model purpose-built for physical security, so inference runs on-site rather than in the cloud.
- ✓Agentic video walls and case management
Shipped February 2026; surfaces what matters onto operator displays and carries incidents through a structured case workflow.
- ✓Broad hardware integration
Works with Genetec, Avigilon, Bosch, Honeywell, Hanwha, Hikvision, Brivo, Allegion and 200+ ONVIF cameras already installed.
Capabilities
Use Cases
- •False-alarm reduction at scale
ServiceNow reported a 94% reduction in false alarms and 15,069 hours of manual triage saved using the platform.
- •Continuous multi-site threat monitoring
Every camera across a global estate is watched for hundreds of threat signatures rather than sampled by rotating analysts.
- •Post-incident forensic investigation
Security teams search enormous archives by behaviour and context instead of scrubbing footage timeline by timeline.
- •Access-control alarm triage
Video context is attached to door events so operators can dismiss benign alarms without dispatching a guard.
- •Managed security service delivery
Securitas Technology resells the platform across 40 countries, embedding it in outsourced monitoring for its client base.
Ideal For
Best For
- ✓Large enterprise campuses and corporate security operations centres already staffed 24/7 with analysts
- ✓Reducing access-control alarm noise where door-forced and tailgating alerts overwhelm the operations team
- ✓Post-incident forensic investigation across large multi-site camera estates
- ✓Data centres and critical infrastructure sites needing continuous perimeter and interior threat detection
- ✓Organisations standardising security intelligence across a heterogeneous mix of camera and VMS vendors
Not Ideal For
- ✗Mid-market teams running roughly 50 to 300 cameras, where the enterprise-tier pricing frequently does not pencil out
- ✗Organisations without a mature GSOC — the most valuable features assume a 24/7 operations centre with analysts able to act on alerts
- ✗Buyers wanting a single-vendor stack, since this is an intelligence layer and cameras, VMS and access control are all sourced separately
- ✗Sites needing instant rollout, because AI processing depends on dedicated edge appliances installed at each location
- ✗Estates built on cameras outside the supported ONVIF set, which still requires compatibility checking before purchase
Deployment
Market & Ratings
Not disclosed; named customers include Cisco, ServiceNow, SentinelOne, TikTok, Adobe, VMware, Impossible Foods and Norwalk Public Schools, with multiple Fortune 100 accounts at seven-figure contract value
Market Analysis
Pros
- ✓Quantified customer outcome rather than a marketing claim: ServiceNow reported 94% false-alarm reduction and 15,069 hours of triage saved
- ✓Works with the cameras, VMS and access control an enterprise already owns, avoiding a hardware replacement cycle
- ✓Operating at genuine scale — 200M+ video hours and 10B+ events per day — with new ARR doubling in FY26 and Fortune 100 expansions
- ✓Global reseller agreement with Securitas Technology, present in 40 countries with 13,000+ staff, gives enterprise buyers a delivery partner
Cons
- ✗Enterprise-tier pricing that independent comparisons say does not work economically for teams running roughly 50 to 300 cameras
- ✗Requires dedicated edge appliances installed at every site, so deployment speed is bounded by hardware logistics rather than software provisioning
- ✗It is an intelligence layer only — cameras, VMS and access control must still be sourced and maintained separately
- ✗The strongest features presume a mature 24/7 GSOC with analysts on the feeds; organisations without one will not realise the value
- ✗Camera compatibility is broad but not universal at 200+ ONVIF models, so existing estates need checking before commitment
- ✗No published security or compliance certifications, which is a notable gap for a product handling continuous facility video
Pricing
Enterprise
Contact for pricing
- ✓Ambient Foundation platform with Threat Detection, Access Intelligence and Advanced Forensics
- ✓Per-site edge appliances for on-premise AI processing
- ✓Integration with existing cameras, VMS and access control
No list pricing is published; everything runs through sales. Independent comparisons describe it as enterprise-tier and note that mid-market teams running roughly 50 to 300 cameras often find the economics do not work. Budget for dedicated edge appliances at every site alongside the software subscription, since AI processing runs on that hardware rather than purely in the cloud.
Security & Compliance
Sources
This page was written from 5 sources, 2 on domains other than ambient.ai.
Stay Ahead of the Curve
Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.
SubscribeRelated Products
Obsidian Security
Governs what AI agents and non-human identities can access and do inside your SaaS apps
Ceros
Bind every AI agent session to a real person on a verified device — and block what policy forbids
Noma Security
Discover, govern and defend every AI agent and MCP server in the enterprise — from inventory to runtime enforcement
NVIDIA OpenShell
Open-source, kernel-isolated sandbox runtime for autonomous AI agents