Clay 2.0

In plain words

Clay 2.0 is an all-in-one platform designed for B2B sales teams to run personalized outbound campaigns at scale. It integrates data from over 50 providers and uses AI to help businesses with prospecting, enrichment, and personalization. The platform transforms sales processes by combining multiple data sources with artificial intelligence capabilities to streamline email outreach and lead generation efforts.

written from the facts on this page · September 2026

From the sources

Clay is an all-in-one platform that helps B2B businesses run personalized outbound campaigns at scale. We combine the best of 50+ data providers—and the power of AI—to transform your sales process.

Infrastructure to get any data, run agentic workflows, and launch GTM plays.

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  Clay 2.02023 · me.sh · ▲330

  Manage all your relationships, now with your team

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  Discover, organize, and deepen relationships

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  Clay2025 · clayy.ai · ▲135

  An all-in-one goal app, personalized by AI

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  Clay2022 · clay.com · ▲792

  Create spreadsheets that fill themselves, without code

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  AI Agents by B2B Rocket2024 · b2brocket.ai · ▲315

  Reach every prospect on earth on autopilot

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  Germany's new sovereign AI model Kolibri▲424

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  Giving Opus 5.5 a simulated paint canvas▲392

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  Resend▲1,325

  An entire collection of pre-built components with a much faster development experience.

  Dev tools · 2023 · resend.com

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  STORI AI▲1,316

  Your ideas become visually compelling branded social posts

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  Kombai▲1,079

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  User Persona Generator▲1,014

  Understand your audience without 50 interviews

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  Create and ship lottie animations to sites and apps faster

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  LLMs can generate valid JSON 100% of the time▲854

  Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…

  AI · 2023 · github.com