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Ambient.ai Tech Stack

Edge-optimized vision-language AI for enterprise physical security operations

Software Development Redwood City, California 51–200 employees Founded 2016 Privately Held
ambient.ai LinkedIn

Ambient.ai operates a Vision-Language Model (VLM) platform purpose-built for physical security, deployed at the edge across video, access control, and sensor systems. The tech stack—Python, PyTorch, TensorFlow, Vision Transformers, plus streaming infrastructure (Kafka, RabbitMQ)—reflects a compute-heavy AI company. Hiring velocity is accelerating across sales (8 open roles) and engineering (7), with seniority weighted toward senior and VP positions, signaling aggressive enterprise GTM scaling alongside core platform maturation.

Tech Stack 34 technologies

Core StackPython C++ PyTorch TensorFlow Django React GraphQL MySQL PostgreSQL AWS Redis Kafka RabbitMQ Ashby Slack Go HubSpot Salesforce n8n Supabase Flask FastAPI gRPC TypeScript Vision Transformers GCP ActiveMQ LinkedIn Recruiter Azure WebSockets+4 more

What Ambient.ai Is Building

◆Challenges

  • Recruiting top sales talent
  • Processing massive video streaming data
  • Reducing false alarms
  • Preventing incidents
  • High false alarm rates
  • Scaling enterprise sales
  • High volume of security alerts
  • Data silos
  • Modernizing physical security operations
  • Complex security environments

▲Active Projects

  • Core infrastructure for processing large volumes of video streaming data
  • Technical pilots
  • Sales methodology coaching
  • Enterprise sales strategy development
  • Business value assessments
  • Data collection and annotation for product testing
  • Glue-code development
  • Net new logo acquisition
  • Upsell opportunities
  • Develop large-size platform problems and own small-to-medium platform features end-to-end

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Sales
8
Engineering
7
Marketing
2
Support
2
Data
1
HR
1
Research
1

Seniority

Senior
11
Mid
4
VP
3
Director
2
Manager
2
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About Ambient.ai

Ambient.ai builds an AI-native physical security platform centered on Ambient Pulsar, an edge-deployed reasoning model that integrates video, access control, and sensor data into a unified intelligence layer. The product detects 150+ threat signatures in real time, reducing false alarms by over 90% and resolving 80% of alerts within one minute. Customers include Fortune 100 enterprises operating across campuses, data centers, and critical infrastructure. The company is headquartered in Redwood City, California, and employs 51–200 people.

HeadquartersRedwood City, California
Company Size51–200 employees
Founded2016
Hiring MarketsIndia, United States

Frequently Asked Questions

What AI and ML technologies does Ambient.ai use?

Python, PyTorch, TensorFlow, and Vision Transformers power the core platform. Ambient Pulsar is the proprietary edge-optimized VLM. Data pipeline uses Kafka and RabbitMQ for streaming ingestion.

Where does Ambient.ai hire and operate?

Headquartered in Redwood City, California. Active hiring in the United States and India. Founded in 2016 and privately held.

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How this profile is built

Ambient.ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.