Ambient.aipricing, plans and limits

Last updated: 2026-08-23

Ambient.ai is a computer vision platform that layers AI threat detection onto a company's existing security cameras. Its Agentic Physical Security engine resolves more than 80% of flagged alerts in under one minute, using an edge-deployed vision-language model rather than routing footage through a third party's cloud.

About Ambient.ai

Ambient.ai is a computer vision intelligence platform built by Ambient AI, Inc., founded in 2016 in Redwood City, California by Stanford researchers Shikhar Shrestha (CEO) and Vikesh Khanna (CTO). The company built the platform to replace manual camera-wall monitoring with automated, AI-driven threat detection for corporate security teams, and has raised more than $50 million in funding led by Andreessen Horowitz, with additional backing from Y Combinator, SV Angel, Allegion Ventures and angel investors including CrowdStrike co-founder George Kurtz and Okta co-founder Frederic Kerrest. At the core is Ambient Pulsar, the company's proprietary edge-optimized vision-language model, layered on top of four linked products: Ambient Foundation for real-time situational awareness, Ambient Threat Detection for signature-based threat recognition, Ambient Advanced Forensics for investigative search, and Ambient Access Intelligence for correlating access-control alarms against camera footage. Processing happens on local edge appliances rather than in a shared cloud, and the company states raw video is never stored off-site and that the platform does not use facial recognition. The platform is built for corporate security operations teams, campus and data center security leaders, and enterprise risk or facilities managers who already run cameras and access-control systems from vendors such as Genetec, Milestone, LenelS2 or Honeywell Pro-Watch and want an AI layer added on top rather than a hardware swap. It integrates with cameras from manufacturers including Axis, Hanwha and Avigilon, which keeps existing capital investment in place instead of forcing a rip-and-replace deployment. Ambient.ai does not sell through a self-serve signup. Pricing is quoted per deployment after a sales conversation, and the platform runs as a cloud-connected security console backed by on-premise edge hardware rather than a downloadable desktop or mobile app; access is entirely web-based for security operators. The company reports it doubled new annual recurring revenue in its fiscal year ending January 2026 compared with the prior year, a period that included the public launch of Ambient Pulsar and continued growth among enterprise customers in tech, finance and critical infrastructure.

Pricing

Fully custom, quote-only pricing. Ambient.ai has no published price list, no free tier and no self-serve checkout; enterprise buyers request a quote based on camera count, site count and which product modules they license.

Key Features

• 150+ Validated Threat Signatures: Ambient Threat Detection recognizes more than 150 threat signatures, including tailgating, perimeter breaches, loitering and brandished firearms, and resolves over 80% of flagged alerts in under one minute.
• Ambient Pulsar Vision-Language Model: The platform runs Ambient Pulsar, an edge-optimized reasoning VLM trained on more than 1 million hours of enterprise video, so threat analysis happens on-site instead of streaming raw footage to the cloud.
• Access Intelligence Alarm Correlation: Ambient Access Intelligence cross-references badge and door alarm data against live camera footage, which the company credits with a 90-95% reduction in false alarms.
• Advanced Forensics Search: Ambient Advanced Forensics runs similarity search and license-plate lookups across historic footage, cutting investigation time by a reported 20x versus manual camera review.
• Works With 200+ Existing Camera Models: The platform integrates with more than 200 ONVIF-compliant camera models from vendors like Axis, Hanwha and Avigilon, plus VMS platforms including Genetec and Milestone, so customers deploy without replacing hardware.
• SOC 2 Type II Attestation, No Facial Recognition: Ambient.ai completed a SOC 2 Type II audit performed by Sensiba San Filippo, and the company states it does not run facial recognition or store personally identifiable information.

Pros

• Consolidates real-time monitoring, threat detection, forensics search and access-alarm correlation into one deployment instead of stitching together separate point tools.
• Broader detection scope than single-purpose competitors such as ZeroEyes, which focuses only on firearm and knife detection.
• Cleared a SOC 2 Type II audit and encrypts stored data with AES-256, plus keeps raw video off the cloud entirely, which addresses a common objection enterprise buyers raise about camera analytics vendors.
• Used by seven of the top 10 U.S. technology companies, a customer base larger than most single-purpose physical security competitors publicly cite.

Cons

• Pricing is entirely custom and unpublished; buyers must go through a sales quote process rather than a self-serve signup.
• Requires on-site edge appliance hardware scaled to camera and site count, a real line item beyond a typical SaaS subscription fee.
• No public G2 or Trustpilot star rating was found at the time of this review, making it hard to verify satisfaction outside vendor testimonials.
• Built specifically for physical security operations, so it does not cover cybersecurity, endpoint or network threat detection despite the shared 'threat detection' terminology.

Visit Ambient.ai Official Website