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Description

Cofounder is an innovative AI automation system that empowers users to manage and streamline workflows throughout their entire tech ecosystem by utilizing natural language as its main interface. By directly interfacing with pre-existing tools and platforms, it facilitates the automation of various tasks, the management of operations, and the coordination of processes, thereby eliminating the need for users to engage in complicated manual configurations. The system employs AI agents proficient in comprehending instructions articulated in simple English, which allows them to devise and implement intricate workflows for tasks such as project management, communication management, or data processing, thereby serving as a sophisticated operational layer that enhances the software already in use. Cofounder prioritizes effortless integration and the orchestration of workflows, which allows users to connect multiple applications and develop automated "flows" that function across different systems seamlessly. Additionally, its intelligent agents possess the ability to reason through tasks, adapt to diverse contexts, and perform the intricate technical execution behind the scenes, ultimately simplifying the user experience and enhancing productivity. This unique approach not only streamlines operations but also fosters greater efficiency and collaboration within teams.

Description

Perplexity Computer is a super agent platform that autonomously executes complex projects based on simple user instructions. Instead of requiring step-by-step prompting, users describe their desired end product, and the system decomposes the task into coordinated workflows handled by multiple AI models. It supports website creation, in-depth research reports, structured datasets, and multimedia production within one unified interface. The system intelligently routes tasks to the most appropriate models for research, visual generation, video production, or rapid search. Built for long-running execution, it can manage multi-stage assignments independently for extended periods. By removing the need to manually select or switch between AI tools, it simplifies sophisticated workflows into a seamless experience. The platform emphasizes outcome delivery rather than model management. Its orchestration layer ensures efficiency, adaptability, and task-specific optimization. Perplexity Computer enables users to move from concept to completed project with minimal friction. It represents a shift toward fully autonomous AI systems designed to handle end-to-end digital production.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude Code
Claude Opus 4.7
Claude Sonnet 4.6
Codex CLI
GPT-5.4
GPT-5.5
GPT-5.5 Pro
Gemini 3.1 Pro
GitHub
GitHub Copilot CLI
Model Context Protocol (MCP)
Nemotron 3 Super
Perplexity
Perplexity Max
Perplexity Pro
Personal Computer by Perplexity
Postmark
Sonar
Supabase
Vercel

Integrations

Claude Code
Claude Opus 4.7
Claude Sonnet 4.6
Codex CLI
GPT-5.4
GPT-5.5
GPT-5.5 Pro
Gemini 3.1 Pro
GitHub
GitHub Copilot CLI
Model Context Protocol (MCP)
Nemotron 3 Super
Perplexity
Perplexity Max
Perplexity Pro
Personal Computer by Perplexity
Postmark
Sonar
Supabase
Vercel

Pricing Details

$20 per month
Free Trial
Free Version

Pricing Details

$17/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

The General Intelligence Company Of New York

Founded

2025

Country

United States

Website

cofounder.co

Vendor Details

Company Name

Perplexity AI

Founded

2022

Country

United States

Website

www.perplexity.ai/computer

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