Parallel Web Systems

@p0

Web infrastructure for AI to search, extract, monitor, and reason over the world's information. Start here → docs.parallel.ai

San Francisco, CA

parallel.ai

Joined August 2011

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Parallel Web Systems
@p0
Aug 21
Capable models have gotten cheaper. Search hasn’t, until now. Today we’re introducing Fast mode for Parallel Search: frontier-quality web search for AI that’s 10x cheaper than the default from model labs. - $1 per 1,000 results - 700ms p50 latency - #3 on Artificial Analysis
Parag Agrawal
@paraga
Aug 21
Article
Introducing Parallel Search Fast
As capable models get cheaper, web search needs to follow. We started Parallel (@p0) with a simple belief: agents would use the web far more than humans, so search and the infrastructure to support...
Parallel Web Systems
@p0
10h
Parallel's full API suite is now available in the @googlecloud Marketplace! Businesses can now quickly and easily provision Parallel's best-in-class web search tools and agents directly through Google Cloud, with consolidated billing and committed spend drawdown.
Parallel Web Systems
@p0
Aug 24
Your web search shouldn’t cost more than your inference. It's simple: If you’re using GPT 5.6 Luna or similarly priced models, chances are you’re overpaying for search.
Parallel Web Systems
@p0
Aug 18
Today, @ArtificialAnlys announced their new Search Index, ranking leading web search APIs across quality, speed, and cost. On an equal-weighted mean of DeepSearchQA F1, BrowseComp accuracy, and AA-Omniscience accuracy, Parallel is ranked #1.
Artificial Analysis
@ArtificialAnlys
Aug 18
Announcing the Artificial Analysis Search Index, benchmarking how search API providers perform on quality, cost, and speed when used by an agent. We are initiating coverage with Parallel, Exa, Firecrawl, You (dot) com, Tavily, Keenable, and Brave Search is one of the most
Parallel Web Systems
@p0
Aug 14
The Monitor API is our most asked-about product. It fundamentally changes the pattern of web search from push to pull. Instead of querying the web to find information each time, information comes to you as soon as it appears.