Server-Sent Events (SSE) are now available with the Parallel Task API. SSE delivers live progress updates, model reasoning, and status changes as tasks execute. Learn More: https://lnkd.in/gTCerfSz
Parallel Web Systems
Technology, Information and Internet
Palo Alto, California 3,437 followers
A parallel web, for AIs
About us
At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of API for AIs to do more with web data.
- Website
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https://www.parallel.ai/
External link for Parallel Web Systems
- Industry
- Technology, Information and Internet
- Company size
- 11-50 employees
- Headquarters
- Palo Alto, California
- Type
- Privately Held
Locations
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Primary
Palo Alto, California 94305, US
Employees at Parallel Web Systems
Updates
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Ultra2x, Ultra4x, and Ultra8x are now available with the Parallel Task API. These new advanced processors allow you to dial up compute for the most critical and demanding deep research workflows. Learn More: https://lnkd.in/gQ75Z5JA
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The Parallel Task API now supports Auto Mode, enabling one-off web research queries without requiring explicit output schemas. Simply ask a question. Our processors will then conduct research and generate a structured output schema for you. Learn More: https://lnkd.in/g6HDhzMg
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The Parallel Search MCP Server is now live in Devin's MCP Marketplace, bringing high quality web research capabilities directly to the AI software engineer. With a web-aware Devin, you can can ask Devin to: - Search online forums to debug code - Learn from online codebases - Research APIs Learn more: https://lnkd.in/gvcmwrC8
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Today, we're sharing state-of-the-art benchmarks for the Parallel Search API. We evaluated the Parallel Search API on the WISER-Search benchmark, by comparing three different web search solutions (Parallel MCP server, Exa MCP server/tool calling, LLM native web search) across four different LLMs (GPT 4.1, O4-mini, O3, Claude Sonnet 4). Our Search MCP Server demonstrates superior performance while being up to 50% cheaper than LLM native web search implementations. Learn More: https://lnkd.in/g6gd6k-q
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The Parallel Task API now supports Tool Calling via MCP Servers. With a single API call, you can choose to expose tools hosted on external MCP-compatible servers and invoke them through the Task API. This allows Parallel agents to reach out to private databases, code execution sandboxes, or proprietary APIs - without custom orchestrators or standalone MCP clients. Learn more: https://lnkd.in/g9aDxW8a
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The Parallel Search MCP Server is now live - allowing developers to easily integrate the Parallel Search API with any MCP-aware LLM. With a simple config change, LLMs get access to instant dense, citation-rich passages ranked for LLM reasoning. Learn More: https://lnkd.in/g6eMeFPQ
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Parallel Web Systems reposted this
As we scale both our ambitions and our team at Parallel Web Systems, we're hiring builders who want to bring a new web to life. We’re looking for people eager to push the frontier in their domains: Design Engineer – build new interfaces for the web Research Scientist – scale inference and retrieval over web data Go-to-Market & DevRel – create new markets so companies, developers, and AIs can access our technology We’re a small, in-person team in Palo Alto. Couldn’t be a more interesting time to join.
At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. After more than a year of heads-down building, our first web-research APIs are live on www.parallel.ai. As we scale with customers, we’re growing outside core engineering for the first time and hiring our first: Design Engineer, DevRel Engineer, Research Scientist, GTM Lead. Details → https://lnkd.in/gXRmEqvS
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Source Policy is now available with the Parallel Task API and Search API. Source Policy lets you define exactly which domains your research should include and exclude. This gives you granular control over what web sources AI agents access and how results are prioritized. Learn More: https://lnkd.in/gCGYcNe3
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Introducing the Parallel Task Group API. Easily create, monitor, and collect results from large parallel web research workloads. Learn more: https://lnkd.in/gaGBDtY7
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