Artificial Intelligence

Parallel AI

Run AI-powered browser workflows in parallel at a enterprise scale

4.6/5 Rating
SOC 2 Type II
1,200+
27001
category
AI Browser Automation Platform
Ideal For
Enterprises, Growth Companies, Automation-First Teams
deployment
Cloud-based/Secure Virtual Environments
Integrations
50+ Apps
security
Enterprise-grade isolation, encrypted sessions
API Access
Yes (REST & GraphQL APIs available)

Product Description

Parallel AI is an advanced browser automation platform designed to execute AI-driven workflows simultaneously across multiple browser environments. It enables enterprises to automate research, data extraction, QA testing, form submissions, monitoring, and repetitive web-based tasks at scale—without manual intervention. The core value of Parallel AI lies in its ability to run complex browser tasks in parallel, dramatically reducing execution time while increasing accuracy and reliability. By combining AI decision-making with browser-level automation, Parallel AI allows teams to operate faster, collect richer data, and maintain consistent operational workflows across geographies and systems. AiDOOS enhances Parallel AI by acting as the execution, integration, and governance layer. Through AiDOOS, Parallel AI is deployed securely into enterprise environments, integrated with internal systems, and optimized for performance, compliance, and cost efficiency. AiDOOS ensures orchestration across departments, monitors AI workload health, and continuously improves automation outcomes through optimization frameworks. Built for enterprise scalability, Parallel AI supports high-volume operations, distributed teams, and complex automation pipelines. With AiDOOS managing lifecycle, access controls, and optimization, organizations can confidently scale browser automation while maintaining governance, security, and business alignment.

From Challenge to Success

See the transformation in action

Challenge

Manual browser-based workflows slow operations
Repetitive web tasks consume skilled resources
Data collection across sites lacks consistency
Automation failures increase operational risks

Results

64%
Faster execution of browsers workflows
48%
Reduction in manual operational effort
36%
Improved accuracy in web data extraction

Features

Core Functions at a Glance

Parallel Browser Execution

Run multiple browser workflows simultaneously

Faster automation at scale

AI-Driven Task Intelligence

Adaptive decision-making during browser actions

Reduced workflow failures

Secure Virtual Browsers

Isolated execution environments

Enhanced enterprise security

Ochestration

Centralized control of automation tasks

Improved operation visibility


Understand the Value Behind Each Capability.

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Real-World Use Cases

See how teams drive results across industries

Market Research Automation
Automates large-scale web research tasks
62%
Faster insights generation
Data Extraction & Monitoring
Continuously collects structured web data
55%
Improved data reliability
QA & Web Testing
Runs automated browser tests in parallel
47%
Reduced testing cycles

Integrations

Seamlessly connect with your entire tech ecosystem

S

Slack

Explore

Workflows notifications and alerts

Z

Zapier

Explore

Automation chaining across tools

G

Google Sheets

Explore

Data export and reporting

A

AWS

Explore

Secure infrastructure deployment

R

REST APIs

Explore

Custom system integrations

Pricing, TCO & ROI

Request a meeting to discuss Parallel AI's pricing.

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Customer Success Stories

Real results from real customers

E-Commerce Intelligence Firm

"Parallel AI allowed us to run thousands of browser tasks simultaneously, cutting our data collection time by more than half."
— Alex Morgan, Head of Data Operations

Global SaaS Company

"By moving to Parallel AI, our QA testing cycles became faster, more reliable, and easier to scale."
— Priya Desai, Automation Lead

Security, Compliance & Reliability

Enterprise-grade security you can trust

Zero‑trust access controls
Enforces strict identity‑based permissions
End‑to‑end encryption
Protects data in transit and at rest
Audit‑ready logging
Ensures full traceability for compliance
Policy‑driven governance
Centralized enforcement across workflows
Multi‑region redundancy
Ensures operational continuity

Implementation with AiDOOS

Outcome-based delivery with expert support

Delivery Model

Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists

Implementation Timeline

Discover
Requirements gathering, current state assessment, success criteria definition
1
Integrate
System connections, data migration, custom configurations
2
Validate
UAT, performance testing, security audits
3
Rollout
Phased deployment, user training, go-live support
4
Optimize
Performance tuning, adoption monitoring, continuous improvement
5

See How It Works for Your Team.

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Alternatives & Comparisons

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Capability Parallel AI Leadster Falcon-40B Anyscale
Customization Excellent
Ease of Use Good
Enterprise Features Good
Pricing Fair
Integration Ecosystem Excellent
Mobile Experience Fair
AI & Analytics Excellent
Quick Setup Good

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Frequently Asked Questions

Everything you need to know

How does AiDOOS deploy Parallel AI in enterprise environments?
AiDOOS handles deployment, configuration, and integration across cloud or on-prem systems
Can Parallel AI scale with fluctuating workloads?
Yes, AiDOOS enables dynamic scaling based on real-time workload demand.
Is Parallel AI suitable for regulated industries?
Yes, it supports enterprise security and compliance standards when governed by AiDOOS.
Does Parallel AI integrate with existing data platforms?
Yes, AiDOOS connects Parallel AI with leading data and cloud platforms.
What kind of AI workloads benefit most?
Inference, data pipelines, automation workflows, and multi-agent systems.