Introducing Parallel Search Turbo: the fastest and lowest-cost search for AI. [Learn more.](/content/blog/parallel-search-turbo/index.html)[\[Learn more.\](/content/blog/parallel-search-turbo/index.html)](/content/ai/blog/parallel-search-turbo/index.html)

HumanMachine

November 12, 2025

# \\# Parallel raises $100M Series A to build web infrastructure for agents

Tags:[Company](/content/blog?tag=company/index.html)

Reading time: 3 min

Announcing our $100 million Series A at a $740 million valuation to build the web for its second user: AIs. The round was co-led by Kleiner Perkins and Index Ventures, with participation from Spark Capital and support from existing investors Khosla Ventures, First Round Capital, and Terrain. Mamoon Hamid of Kleiner Perkins joins Vinod Khosla, Shardul Shah and Josh Kopelman on the board.

## \\#\# **\*\*The web’s second user: AI\*\***

Two years ago, when we started the company, there weren’t any agents on the web. The prevailing view was that large language models would render the web obsolete. Why would agents need to search when every model had the entirety of the internet in its training data?

We believed the opposite: AIs would use the web far more than humans ever have.

## \\#\# **\*\*Quality is everything\*\***

Today, we offer two types of products, all of which are best-in-class for quality and accuracy of outputs:

- \- **\*\*Web Tools\*\*** built as primitives for [search](/content/blog/introducing-parallel-search/index.html)[\[search\](/blog/introducing-parallel-search)](/content/ai/blog/introducing-parallel-search/index.html), [extraction](https://docs.parallel.ai/extract/extract-quickstart)[\[extraction\](https://docs.parallel.ai/extract/extract-quickstart)](https://docs.parallel.ai/extract/extract-quickstart), and retrieval for agents to use.
- \- **\*\*Web Agents \*\*** built for [structured enrichment](/content/blog/parallel-task-api/index.html)[\[structured enrichment\](/blog/parallel-task-api)](/content/ai/blog/parallel-task-api/index.html), [deep research](/content/blog/deep-research-benchmarks/index.html)[\[deep research\](/blog/deep-research-benchmarks)](/content/ai/blog/deep-research-benchmarks/index.html), and [workflow automation](/content/blog/case-study-gumloop/index.html)[\[workflow automation\](/blog/case-study-gumloop)](/content/ai/blog/case-study-gumloop/index.html).

Agents are our users. AI-native builders are our customers.

The most sophisticated builders choose us: Clay, Sourcegraph, Owner, Starbridge, Actively, Genpact, and leading Fortune 100 companies. They've tested alternatives and understand their agents' needs. Whether it's [Claygent](https://www.clay.com/claygent)[\[Claygent\](https://www.clay.com/claygent)](https://www.clay.com/claygent) powering GTM workflows, [Amp](https://ampcode.com/)[\[Amp\](https://ampcode.com/)](https://ampcode.com/)'s coding agent solving bugs, helping lawyers find precedent, [Starbridge](/content/blog/case-study-starbridge/index.html)[\[Starbridge\](/blog/case-study-starbridge)](/content/ai/blog/case-study-starbridge/index.html) discovering government RFPs, or a Fortune 100 insurer underwriting claims. Our customers understand something fundamental: if your agent doesn't have good, fresh, accurate data from the web, all else downstream doesn’t matter.

Parallel [drops hallucination rates](/content/blog/benchmarks-task-api-sealqa/index.html)[\[drops hallucination rates\](/blog/benchmarks-task-api-sealqa)](/content/ai/blog/benchmarks-task-api-sealqa/index.html) across workflows by organizing and bringing forth the right context from the web. Every decision, by an agent or the human, is downstream of the quality of the data it uses. When every company is racing to deploy AI, competitive advantage comes down to who has better access to accurate information.

## \\#\# **\*\*Search for AIs is very different\*\***

[Search](/content/products/search/index.html)[\[Search\](/products/search)](/content/ai/products/search/index.html) for agents differs fundamentally from search for humans. Instead of just keyword queries, AIs can ask declarative queries. Instead of ranking URLs that humans might click, we're identifying the optimal tokens from the web to place in an agent's context window. Instead of being limited to a few hundred milliseconds and a limited amount of compute, we can choose to flexibly allocate computation and time in order to improve outputs.

We’ve built the only web APIs that are optimized to be used as tools within AI agents, and they are used at scale including by our own search agents. Building this product is only possible through innovations across crawling, indexing, retrieval and ranking - each purpose-built for AIs as the primary user.

## \\#\# **\*\*The web must remain open to AIs\*\***

As the web's primary user shifts from humans to AIs, business models built on human attention are challenged. By default, the web trends towards zero-sum: paywalls, private data silos, and gated access. We’ve specifically designed our APIs and systems to not just serve AIs as customers, but also provide content and data owners incentives to continue publishing on the open web, and providing all AI agents broad access.

Our mission is to ensure an open, transparent, and competitive web that can be used by all AIs.

## \\#\# **\*\*Join us\*\***

In the past, our team built key infrastructure, systems, and markets that powered the human web.

Now we have a new user to build for.

The AI web is in its infancy. There is so much more to build.

If you, like us, are obsessed with shaping the future of the web for AIs, [we’d love to hear from you](https://jobs.ashbyhq.com/parallel)[\[we’d love to hear from you\](https://jobs.ashbyhq.com/parallel)](https://jobs.ashbyhq.com/parallel).

## \\#\# Ready to get started?

Sign up for free. No credit card required.

[Try Parallel](https://platform.parallel.ai/home)[\[Try Parallel\](https://platform.parallel.ai/home)](https://platform.parallel.ai/home) [Contact sales](https://contact.parallel.ai/)[\[Contact sales\](https://contact.parallel.ai/)](https://contact.parallel.ai/)

[Are you an agent? Read this to onboard Parallel](/content/agents.md)[\[Are you an agent? Read this to onboard Parallel\](/content/agents.md)](/content/ai/agents.md)

By Parallel

November 12, 2025

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[Sep 16, 2025\\
**\- \[Introducing the TypeScript SDK\](/content/blog/typescript-sdk/index.html)**](/content/blog/typescript-sdk/index.html)

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Author: By Parallel

[Sep 12, 2025\\
**\- \[Building a serverless competitive intelligence platform with MCP + Task API\](/content/blog/cookbook-competitor-research-with-reddit-mcp/index.html)**](/content/blog/cookbook-competitor-research-with-reddit-mcp/index.html)

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Author: By Parallel

[Sep 11, 2025\\
**\- \[Introducing Parallel Deep Research reports\](/content/blog/deep-research-reports/index.html)**](/content/blog/deep-research-reports/index.html)

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Author: By Parallel

[Sep 9, 2025\\
**\- \[A new pareto-frontier for Deep Research price-performance\](/content/blog/deep-research-benchmarks/index.html)**](/content/blog/deep-research-benchmarks/index.html)

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Author: By Parallel

[Sep 5, 2025\\
**\- \[Building a Full-Stack Search Agent with Parallel and Cerebras\](/content/blog/cookbook-search-agent/index.html)**](/content/blog/cookbook-search-agent/index.html)

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[Aug 21, 2025\\
**\- \[Webhooks for the Parallel Task API\](/content/blog/webhooks/index.html)**](/content/blog/webhooks/index.html)

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Author: By Parallel

[Aug 14, 2025\\
**\- \[Introducing Parallel: Web Search Infrastructure for AIs \](/content/blog/introducing-parallel/index.html)**](/content/blog/introducing-parallel/index.html)

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Author: By Parallel

[Aug 7, 2025\\
**\- \[Introducing SSE for Task Runs\](/content/blog/sse-for-tasks/index.html)**](/content/blog/sse-for-tasks/index.html)

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[Aug 5, 2025\\
**\- \[A new line of advanced Processors: Ultra2x, Ultra4x, and Ultra8x \](/content/blog/new-advanced-processors/index.html)**](/content/blog/new-advanced-processors/index.html)

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Author: By Parallel

[Aug 4, 2025\\
**\- \[Introducing Auto Mode for the Parallel Task API\](/content/blog/task-api-auto-mode/index.html)**](/content/blog/task-api-auto-mode/index.html)

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Author: By Parallel

[Jul 31, 2025\\
**\- \[A state-of-the-art search API purpose-built for agents\](/content/blog/search-api-benchmark/index.html)**](/content/blog/search-api-benchmark/index.html)

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[Jul 31, 2025\\
**\- \[Parallel Search MCP Server in Devin\](/content/blog/parallel-search-mcp-in-devin/index.html)**](/content/blog/parallel-search-mcp-in-devin/index.html)

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[Jul 28, 2025\\
**\- \[Introducing Tool Calling via MCP Servers\](/content/blog/mcp-tool-calling/index.html)**](/content/blog/mcp-tool-calling/index.html)

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[Jul 14, 2025\\
**\- \[Introducing the Parallel Search MCP Server \](/content/blog/search-mcp-server/index.html)**](/content/blog/search-mcp-server/index.html)

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Author: By Parallel

[Jul 8, 2025\\
**\- \[Introducing Source Policy\](/content/blog/source-policy/index.html)**](/content/blog/source-policy/index.html)

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[Jul 2, 2025\\
**\- \[The Parallel Task Group API\](/content/blog/task-group-api/index.html)**](/content/blog/task-group-api/index.html)

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Author: By Parallel

[Jun 17, 2025\\
**\- \[State of the Art Deep Research APIs\](/content/blog/deep-research-browsecomp/index.html)**](/content/blog/deep-research-browsecomp/index.html)

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[Jun 10, 2025\\
**\- \[Parallel Search API is now available in alpha\](/content/blog/search-api-alpha/index.html)**](/content/blog/search-api-alpha/index.html)

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Author: By Parallel

[May 29, 2025\\
**\- \[Introducing the Parallel Chat API \](/content/blog/chat-api/index.html)**](/content/blog/chat-api/index.html)

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Author: By Parallel

[May 16, 2025\\
**\- \[Introducing Basis with Calibrated Confidences \](/content/blog/introducing-basis-with-calibrated-confidences/index.html)**](/content/blog/introducing-basis-with-calibrated-confidences/index.html)

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Author: By Parallel

[Apr 24, 2025\\
**\- \[Introducing the Parallel Task API\](/content/blog/parallel-task-api/index.html)**](/content/blog/parallel-task-api/index.html)

[Tags:](/content/blog/parallel-task-api/index.html) [Product](/content/blog?tag=product/index.html),[Benchmarks](/content/blog?tag=benchmarks/index.html)

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