pipeless-agents
Pipeless Agents is a serverless Vision AI platform that converts live video feeds into structured, actionable data streams and automates tasks by running lightweight, code-driven agents against those streams.
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Quick Overview
Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
Freemium from Start for free — No credit card required
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pipeless-agents
Pipeless Agents is a serverless platform for Vision AI that converts live video feeds into structured data streams and automates tasks based on visual inputs. Projects consist of an agent and one or more video pipelines; the platform extracts structured data and events from video sources (IP cameras, online streaming platforms, etc.) and delivers that data to agents. Agents run a processing loop (the agent logic is kept in sync with a code repository) and can call webhooks, send messages, or store results in databases. The product targets industrial, retail, office, smart city, home automation and environmental monitoring use cases and offers a catalogue of pre-built agents for common scenarios.
A computer vision platform converting video feeds into actionable data streams for automation.
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Claim this listing for $29Key Features
Video-to-structured-data extraction
Automatically extracts structured data and events from each video source via filters so agents receive ready-to-use information.
Serverless agents and pipelines
Projects consist of agents and video pipelines; agents process all project pipelines simultaneously in a serverless model.
Low-code agent deployment
Agent logic can be connected with two lines of code and kept in sync with your code repository; deployments are a push to the repo.
Pre-built agent catalogue
Catalogue of pre-built agents (PPE monitor, table occupancy, face blurring, checkout line metrics, customer segmentation, people recognition, etc.) for one-click deployment.
Wide input support
Supports connecting any input source including IP cameras and online streaming platforms.
Privacy and security features
No recordings (frames discarded after analysis), custom regions for data residency/GDPR compliance, end-to-end encryption, and on-premise deployment options.
Pricing
Start for free with email or Google; no credit card required.
Free
Start for free — No credit card required- Start free with email or Google
- Access to create projects and try the platform
Use Cases
PPE monitoring (industrial)
Detect when workers are not wearing required Personal Protective Equipment and send notifications; PPE types are customizable.
Table occupancy (restaurants)
Track how long people stay at restaurant tables and export occupancy metrics.
Face blurring (privacy)
Blur faces in video streams to protect identities while forwarding or storing footage.
Checkout line analytics (retail)
Export metrics about time people spend in checkout lines to data aggregation platforms or Google Sheets.
Customer segmentation by age (retail)
Obtain analytics and segment customers by age and export results to analytics platforms or Google Sheets.
People recognition
Recognize people and get notifications for identified individuals.
Office monitoring
Receive Slack notifications when someone enters or exits an office.
Home automation
Trigger actions such as opening a garage door when a vehicle arrives.
Smart city
Use visual inputs to control infrastructure, e.g., closing a semaphore when people are waiting.
Environmental monitoring
Receive alerts for natural events, e.g., when a bird lays an egg.
Integrations
MongoDB
Demo shows an agent that exports data to MongoDB.
Google Sheets
Export analytics and metrics to Google Sheets.
Data aggregation platforms
Export metrics to any data aggregation platform.
Slack
Send notifications to Slack when events (e.g., entry/exit) occur.
Benefits
Limitations
Claim this listing to add transparent limitations.
Frequently Asked Questions
What is an agent?
Do I need to code?
Are my videos private?
If I have a business, can I analyze the videos in-house?
I am from Europe, is this GDPR compliance?
Getting Started
- 1 Create a project — each project contains an agent and video pipelines.
- 2 Connect video sources — add IP cameras, streaming platforms, or other inputs to extract structured data.
- 3 Update or write your agent logic — with two lines of code the agent receives pipeline data; deploy by pushing to your code repository or use a pre-built agent from the catalogue.
Support
docs
Documentation section (listed in site navigation as 'Docs').
demo
Quick Demo available on the site showing how to create an agent that exports data to MongoDB.
contact
Contact Sales (listed in site navigation) and site contact at the product homepage.
API
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