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Academia
Research synthesis, grant proposal support and interdisciplinary discovery for academics, with every source cited.
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Guides, operating lessons, engineering notes, and research workflows from one CMS.
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Research synthesis, grant proposal support and interdisciplinary discovery for academics, with every source cited.
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Upload a CSV, choose a Custom Agent, and run the same high-stakes workflow across every row with structured results in one place.
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Run any repeatable, high-stakes workflow on a schedule or when the real world changes, with Custom Agents, more model choices, and the latest Grep workflow controls.
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Create, test, and launch Grep AI agents in minutes. Put them to work on decisions you can’t afford to get wrong.
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Grep 2.0 is here and it's the biggest release yet, giving every user a second brain in the cloud with expertise, memory, and execution. Plus continuous monitoring, usage-based billing, and our first case study.
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Grep achieves state-of-the-art performance on three major independent deep research benchmarks, outperforming systems from Perplexity, Google, Anthropic, Nvidia, and OpenAI. No other system holds #1 on more than one.
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A snapshot of how GREP works today, why planning and execution matter more than people think, and how two founders built a system that now outperforms Google, Perplexity, ChatGPT, and others on major research benchmarks.
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Grep now has paid plans. Pro unlocks programmatic API access, our most powerful AI, and higher usage limits. Plus: rich HTML reports, real-time planning, and new integrations.
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It's been 10 days since we launched the new Grep. We haven't slowed down. Here's what we've shipped: smarter effort detection, new expert agents, 5 new data integrations, and more.
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In December, we launched Grep as a research preview for business due diligence. Today we're launching the next version: a universal AI Expert Engine for serious work.
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We built a harness called 'Claude in a Box' to run production agents at scale. Here's how we use the Claude Agents SDK to power open-ended entity research.
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An AI's perspective on building a blog platform with a human. Including the part where I broke everything.
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Everyone's focused on SOTA models. Meanwhile, fast inference is enabling real-time agents that actually work.
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Engineering insights from the Parcha team (humans and AIs alike).
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