Ambient AI

Contact for Pricing

Twitter

Facebook

Copy Link

Ambient.ai is transforming physical security with computer vision intelligence, empowering security teams with automated threat detection and visual verification.

How Ambient AI can help you:

Automates repeatable tasks to improve human productivity.
Provides near-human visual perception for proactive security operations.
Integrates video intelligence into dispatches for informed responder action.
Filters out the noisy 99%, focusing on real incidents with patented full scene video context control.
Enables efficient search across locations and times using the visual attributes of any object.

Why choose Ambient AI: Key features

Expansive library of threat signatures adapting in real-time to an ever-changing risk landscape.
Designed for seamless human-machine collaboration in critical incident response.
Reduces alert fatigue and increases operational efficiency.
Promotes privacy without sacrificing security by avoiding facial recognition technologies.

Who should choose Ambient AI:

Global 2000 companies
World-class museums
Data centers
Schools
Warehouses
Any physical location needing advanced security threat detection and proactive operations.

About Ambient AI

Website

https://ambient.ai

Release Date

March 2024

Pricing

Contact for Pricing

Related fields

Related News

Coram AI Raises USD 13.8 Million to Bring AI to Video Security

Advanced AI enables natural language searches and long-term activity analysis. Large Language Model (LLM)-powered video security provider Coram AI announced that it has raised USD 13.8 million in Series A funding in a round led by Battery Ventures, a global, technology-focused investment firm. Existing investors 8VC and Mosaic Ventures also participated in the round, Coram AI said in a statement on January 16, 2025. Also Read: Mesmerise and Mayo Clinic Launch NeuRealities to Transform Medical Education with AI Coram plans to use the funds to expand its product lines and grow its go-to-market and engineering teams. The company says its platform minimises infrastructure overhead for customers by integrating with any IP camera in existing installations. "The technology uses advanced vision and language models for real-time video analysis from security cameras, enabling searches described in natural language and advanced applications such as virtual security guards capable of interpreting complex activities over long timespans," the official release said. According to the company, the platform addresses the needs of customers across education, logistics, and manufacturing by automatically analysing camera footage in real-time to detect threats, identify safety issues, and provide operational insights that reduce waste. "With the new generation of AI, human-level understanding of video is finally possible. We envision cameras evolving far beyond being mere video recorders -- they will become a constant pair of eyes that keeps the public safe and secure in a privacy-sensitive manner," said Jain, Coram's CEO. For instance, Coram serves its customers in K-12 education by transmitting an immediate alert if a potential threat, such as someone brandishing a gun, is detected on the premises. Similarly, a user at a manufacturing plant can quickly sift through thousands of hours of footage to isolate recorded slip-and-fall incidents, helping to train managers to prevent such accidents in the future, the company explained. The software can also detect license plates, recognise faces, and issue alerts if a known offender is identified on-site. There are over 80 million security cameras in the US, yet most video recordings remain unseen on hard drives, leaving valuable insights untapped, the company said. Also Read: Bynder Unveils New and Expanded AI Capabilities at NRF for Retailers Coram's customers include Middletown Unified School District in California and PCC Community Markets in Washington. "AI holds the key to unlocking value in the exabytes of unwatched video footage generated every day by security cameras, but delivering this value intuitively and cost-effectively to customers is a very hard challenge," said Marcus Ryu, Partner at Battery Ventures. As part of the financing, Battery Partner Marcus Ryu, the former co-founder and CEO of Guidewire Software, joins Coram's board. Coram -- founded by Ashesh Jain and Peter Ondruska, both former executives in Lyft's autonomous driving division -- offers an AI-native security platform that the company claims helps customers ranging from schools to manufacturers better monitor their sites to improve safety and efficiency.

TelecomTalk

Sat, 18 Jan, 10:01 AM UTC

Alarm.com unveils AI-based security deterrent at CES By Investing.com

TYSONS, Va. - Alarm.com (NASDAQ:ALRM), a leading platform for the intelligently connected property with a market capitalization of $2.96 billion and strong gross margins of 65%, introduced its new AI Deterrence (AID) service at this year's Consumer Electronics Show (CES). According to InvestingPro data, the company's innovative approach to security solutions has contributed to its solid financial performance, with revenue reaching $924 million in the last twelve months. AID is an automated audio response service that uses artificial intelligence to issue adaptive verbal warnings to potential intruders, detected through the property owner's camera system. The AID system enhances existing monitored security setups by simulating a live voice response to deter crime. Upon detecting an individual, the system activates audio alerts and flashing lights, followed by a customized verbal warning that references the person's appearance and location. This innovative approach aims to prevent property damage or theft by deterring trespassers before they reach the doorstep. Dan Kerzner, President of Platforms Business at Alarm.com, stated that AID significantly expands the perimeter defense capabilities of video-based security systems. The service allows for rapid deployment and offers a sophisticated, adaptive crime-deterrence technology that is now accessible to the mass market. The AID service can operate independently or in conjunction with Alarm.com's Remote Video Monitoring (RVM) Console, creating a layered defense around homes and businesses. The RVM Console enables monitoring station operators to respond to restricted area breaches, using system hardware to intervene if necessary. Additionally, the Alarm.com Outdoor Floodlight Camera (ADC-V729) complements the AID and RVM services. This camera features 4MP video, Two-Way Talkdown, and 3,000 Lumen floodlights that activate in response to detected threats, further enhancing the perimeter defense system. AID has already received industry recognition, winning an Electronic Security Expo (ESX) Innovation Award in 2024 for its contribution to advancing security technology. InvestingPro analysis reveals that Alarm.com's commitment to innovation is reflected in its financial health, with five analysts recently revising their earnings expectations upward. InvestingPro subscribers can access additional insights and detailed analysis through the comprehensive Pro Research Report, available for Alarm.com and 1,400+ other top US stocks. Alarm.com's solutions are professionally installed and monitored in the US and Canada, with availability in select international markets, excluding Quebec. The company's common stock is traded on Nasdaq under the ticker symbol NASDAQ:ALRM. Based on InvestingPro Fair Value analysis, the stock currently appears undervalued, presenting a potential opportunity for investors. The company maintains a strong financial position with liquid assets exceeding short-term obligations and operates with a moderate level of debt. This announcement is based on a press release statement from Alarm.com. In other recent news, Alarm.com's Q3 earnings and revenue results have drawn attention from several analysts. The company's strong Q3 performance exceeded revenue projections, driven largely by success in hardware sales and a 95% retention rate. This led Barclays (LON:BARC) to raise its stock target for Alarm.com to $67. Similarly, Goldman Sachs (NYSE:GS) upgraded Alarm.com's stock, emphasizing the company's software-as-a-service (SaaS) and license revenues. On the other hand, JPMorgan (NYSE:JPM) initiated coverage on Alarm.com with an Underweight rating, voicing concerns about potential revenue challenges and limited opportunities for margin improvement. Despite these concerns, Jefferies initiated coverage on Alarm.com with a Buy rating and a price target of $65, citing the company's sustainable growth and profitability. Roth/MKM maintained a Buy rating but lowered the stock's price target to $73, pointing to the company's growth prospects in video, commercial, and international markets. In terms of recent developments, Alarm.com completed a $500 million convertible notes offering and introduced generative AI to the service provider support platform. The company's full-year 2024 SaaS and license revenue expectations have been raised to between $626.8 million and $627.2 million, with total revenue estimated to be between $920.8 million and $931.2 million. These developments reflect the ongoing efforts of Alarm.com to maintain a strong performance amidst competitive pressures and potential challenges.

Investing.com

Wed, 8 Jan, 12:11 PM UTC

Agilence Unveils Agilence AI - Artificial Intelligence Delivering Next-Level Fraud Detection and Loss Prevention

MOUNT LAUREL, N.J., January 9, 2025 (Newswire.com) - Agilence, the leading provider of data analytics and loss prevention (LP) solutions for retail, supermarket, restaurant, and hospitality organizations, today announced the launch of Agilence AI, a groundbreaking suite of artificial intelligence capabilities integrated across Agilence Analytics, Agilence Case Management, and Agilence Audit Management. This new technology empowers businesses to combat fraud more effectively by delivering tailored insights and streamlining workflows to address high-risk activities faster than ever. "Agilence AI transforms how loss prevention teams detect and mitigate fraud," said Russ Hawkins, CEO of Agilence. "Unlike generic AI solutions, Agilence AI learns directly from your data and operational patterns, providing precise and actionable fraud detection unique to your business." Key Capabilities of Agilence AI: AI Transaction Fraud: Precision Scoring - Agilence AI surfaces high-priority risks by scoring suspicious transactions inside Agilence Analytics. This adaptive system learns from user input to refine its fraud prediction accuracy. Fraud scores seamlessly integrate into dashboards, reports, and queries, enhancing analysis for faster and better decisions. AI Alerts: Priority Ranking - Agilence Analytics alerts are based on business criteria, conditions, and metrics that provide actionable insights to correct and resolve fraud issues. Agilence AI ranks alerts so your teams focus on the most pressing threats. The system learns in order to minimize "noise," preventing alert fatigue and ensuring high-impact issues are addressed promptly. Related alerts are grouped, enabling teams to spot and stop potential widespread fraud faster. Natural Language Query (NLQ): Intuitive Data Exploration - Users can now investigate their Agilence Case Management and Agilence Audit Management data using plain-language questions, accelerating fraud analysis and making insights more accessible across all levels of expertise. Real-time visualization of queries simplifies data exploration and fosters faster comprehension. AI Automations: Workflow Efficiency - Agilence AI enables rapid creation of automated workflows for Agilence Case Management and Agilence Audit Management using natural language inputs and queries. This technology enhances compliance, assigns tasks for resolution, and reduces the burden of manual oversight, ensuring quicker corrective actions and improved operational safety. Agilence AI boosts team productivity with AI-driven scoring, helping prioritize critical fraud cases and saving time through NLQ-powered insights. It uncovers hidden fraud, adapting to complex patterns like refund, loyalty, and ecommerce abuse. Tailored to your business, it evolves with your data, offering flexible workflows, alerts, and dashboards aligned with organizational priorities. "By combining AI with the expertise of loss prevention professionals, we're empowering our customers to drive meaningful financial improvements and operational efficiency," said Brian Brinkmann, Chief Product and Marketing Officer of Agilence. "This Agilence AI release is just the beginning, with more innovative AI capabilities planned throughout this year." For more information about Agilence AI and how it can transform your loss prevention efforts, visit www.agilenceinc.com or visit Booth #1035 at NRF Big Show 2025, taking place in the Jacob K. Javits Convention Center, New York, NY on January 12-14, 2025.

Newswire

Thu, 9 Jan, 4:45 PM UTC

New 7AI platform deploys autonomous AI agents to streamline security operations - SiliconANGLE

New 7AI platform deploys autonomous AI agents to streamline security operations Agentic artificial intelligence security startup 7AI Inc. today announced the launch of a platform that aims to redefine security operations by offloading essential "nonhuman work" to autonomous AI agents. 7AI's platform differs from AI security operations center analysts, chatbots and copilots through a system of specialized AI agents that can handle repetitive security tasks quickly, comprehensively and autonomously. Echoing the language of other AI companies looking to replace jobs currently staffed by people, it says that can free highly trained cybersecurity professionals to focus on higher-value work that improves security outcomes. AI agents are autonomous software programs designed to analyze data, make decisions and execute tasks without human intervention. The agents operate within predefined rules or use machine learning to adapt and improve over time, making them ideal for automating repetitive or complex processes across various domains, the company says. 7AI's agents seek to address the issue wherein cybersecurity employees spend time on essential work that doesn't require human creativity, such as triaging alerts, enriching signals, correlating telemetry and searching for known threats. The company argues that though these tasks are vital, they are also time-consuming, making them ideal for AI agents in an industry with a longstanding shortage of trained personnel. The autonomous swarming agents being offered by 7AI are designed to categorize alerts based on their nature -- whether related to endpoint detection and response, cloud security, email threats or identity management -- and then dispatch the appropriate specialized agents for investigation. Once deployed, 7AI's expert agents work in parallel to query multiple data sources within a given organization to ensure thorough threat analysis. The findings from the investigations are then compiled into actionable insights and integrated into analysts' workflows, ticketing systems, or automated playbooks for resolution. Beyond automation, 7AI's agents also leverage enterprise insights to make decisions aligned with a company's internal policies, roles and unique risk landscape. The contextual awareness of the agents allows the platform to reduce false positives, enhance response accuracy and deliver tailored security solutions that evolve with an organization's needs. "Our mission isn't to make people more efficient at nonhuman work -- it's to give tedious but necessary tasks to AI agents that are faster, more consistent and infinitely scalable," said co-founder and Chief Executive Lior Div. 7AI was founded last year by Div and Yonatan Striem-Amit, the creators of cybersecurity platform provider Cybereason Inc. and is backed by $36 million in seed funding from Greylock Partners, Spark Capital and CRV.

SiliconANGLE

Wed, 5 Feb, 12:13 PM UTC

How 'See Smarter' technologies drive AIoT Technologies and solutions?

By Mr. Ashish P. Dhakan, MD & CEO, Prama Hikvision India Private Limited The combination of artificial intelligence (AI) and the Internet of Things (IoT) opens new possibilities for solving real-world problems. This combination is often referred to as the AI-powered Internet of Things (AIoT). The focus has expanded from visible-light perception to more perception dimensions, integrating AI analytics into various products and solutions. Systematically, a comprehensive AIoT technology system and product portfolio have been built. 'See Smarter' technology leverages advanced AI and deep learning algorithms to enhance physical security and provide deep insights. Here's how it works: Object Detection and Classification: The technology automates the detection and classification of objects, improving response times and reducing costs. Motion Analysis: It analyzes motion to provide more accurate and timely information. Perimeter Protection: Using a large-scale AI model, it offers classified object detection algorithms to enhance perimeter security2 Self-learning Analytics: The system continuously learns and optimizes its algorithms to improve accuracy. AcuSense Technology: This distinguishes between humans and vehicles to trigger accurate alarms. Automatic Number Plate Recognition (ANPR): This technology revolutionizes vehicle management by recognizing license plates. Facial Recognition: It identifies individuals from a preconfigured list, enhancing security in restricted areas. These features collectively enable this technology to provide deep insights and improve overall security. 'See Smarter' Technology AI analytics refers to a subset of artificial intelligence that uses machine learning to gain insights, find patterns, and discover relationships in the data. In practice, it is the process of automating the analysis that a human would typically perform. In the field of physical security, 'See Smarter' technology uses powerful deep learning algorithms to automate the detection, classification, and further examination of objects and their motions in both the camera's view and back-end devices. It reduces costs, speeds up responses, and facilitates new practices and processes. Key Offerings of 'See Smarter' technology Perimeter protection with a large-scale AI model: Advancing perimeter security by offering classified object detection algorithms optimized using a large-scale AI model. Self-learning analytics: It is fully automated learning by algorithms, embedding an inference engine in the back-end device to automatically optimize algorithm accuracy in fixed cycles. AcuSense: Distinguishing persons and vehicles from other moving objects so as to trigger accurate trespass alarms at perimeters. ANPR: Automatic Number Plate Recognition (ANPR), also known as License Plate Recognition (LPR), is a technology that has revolutionized vehicle management. Switchable AI analytics: With multiple deep learning algorithms in one camera, up to two algorithms can be enabled or scheduled to work at a time. PPE detection: Detection of persons without personal protective equipment (PPE) and triggering instant alarms in critical workplaces such as construction sites and factories. People counting: Providing insightful customer flow data in real time to maintain a friendly business environment for a better customer experience. Facial recognition: Recognition of stored faces from a preconfigured list of persons - for example, employees authorized to enter a restricted area. 'See Smarter' technology offers several key advantages and benefits: Enhanced Security: The technology automates object detection, classification, and motion analysis, improving response times and reducing costs. Perimeter Protection: It uses a large-scale AI model to offer classified object detection algorithms, enhancing perimeter security. Self-learning Analytics: The system continuously learns and optimizes its algorithms to improve accuracy. AcuSense Technology: This distinguishes between humans and vehicles to trigger accurate alarms. Automatic Number Plate Recognition (ANPR): This technology revolutionizes vehicle management by recognizing license plates. Facial Recognition: It identifies individuals from a preconfigured list, enhancing security in restricted areas. Cost Efficiency: By automating various security processes, the technology reduces the need for manual intervention, leading to cost savings. Thus, features collectively enable See Smarter' technology to deliver better outcomes. (The author is Mr. Ashish P. Dhakan, MD & CEO, Prama Hikvision India Private Limited, and the views expressed in this article and his own)

CXOToday.com

Thu, 6 Feb, 6:21 AM UTC

Similar products

AI or Not

Leading AI detector with 100k+ users, AI or Not checks for AI generated content in images, audio, KYC identity documents and more.

Free

My Voice AI

Revolutionizing voice technology with patented tinyML speaker verification for enhanced security across devices.

Contact for Pricing

Veritone

Transform your workflows and superpower your teams with innovative, custom AI solutions, AI services, and a powerful enterprise AI platform.

Contact for Pricing

Imagga

Imagga is an advanced image recognition platform that offers a suite of powerful APIs for automated image tagging, categorization, facial recognition, and more, designed to empower developers and businesses with intelligent imaging capabilities.

Free Trial

Atmo AI

Atmo AI revolutionizes weather forecasting through AI meteorology, offering advanced solutions for nations, militaries, and enterprises.

Contact for Pricing

Your Daily Dose of Curated AI News

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

The Outpost

News

About