Parallel
Parallel develops a suite of agents and tool APIs for building AI with powerful access to the open web. SOC-2 Type II certified. ZDR Available for enterprises.
Core Capabilities
The core capabilities Parallel offers, and what each one is used for.
Natural Language Search
Parallel allows users to define their search criteria in natural language, making it easy to extract relevant information without needing extensive technical knowledge. This capability streamlines the research process, enabling users to obtain structured outputs that are contextually rich and verifiable.
A marketing team uses natural language queries to gather insights on competitor strategies from the web.
Real-Time Web Monitoring
With the ability to continuously monitor web changes, Parallel empowers users to stay updated on relevant events and information. This feature is crucial for businesses needing to react promptly to market shifts, competitor actions, or industry developments.
A sales team utilizes real-time monitoring to track new product launches by competitors and adjust their outreach strategies accordingly.
Structured Data Extraction
Parallel's technology extracts data from the web in a structured format, ensuring that the information is easily digestible and actionable. This capability enhances the accuracy and utility of data, reducing the risk of errors that can arise from manual data handling.
A product management team uses structured data extraction to gather user reviews and feedback across multiple platforms for product improvement insights.
Cross-Referenced Outputs
The platform provides production-ready outputs that are built on cross-referenced facts, minimizing inaccuracies and ensuring reliability. This capability is essential for businesses that require high fidelity in their data to make informed decisions.
An investment firm analyzes cross-referenced outputs to assess potential startups for funding based on real-time market data.
Flexible Compute Budgeting
Parallel enables users to flexibly manage their compute budget based on task complexity, allowing for cost-effective scaling of operations. This feature is particularly valuable for organizations looking to optimize their expenditure while maintaining performance.
A tech startup adjusts their compute budget dynamically as they scale their AI research operations, ensuring they only pay for the resources they need.
Version-Controlled Data Management
With version-controlled citations and data management, users can trace the provenance of their information, ensuring transparency and reliability. This feature allows businesses to maintain a historical context of data changes, which is crucial for accountability and compliance.
A legal firm tracks changes in regulatory data over time to ensure their compliance with evolving laws and standards.
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