Orange Slice

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Build AI-powered GTM workflows to find, enrich, and automate leads via natural language.
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orangeslice.ai/
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Orange Slice 是什麼？

Orange Slice is an AI-powered platform designed to help modern GTM (Go-To-Market) teams build and automate sales workflows using natural language. It allows users to define their ideal customer profile in plain English, find matching leads, and use AI agents to enrich data with live web research. Beyond data collection, it can automate actions such as syncing leads to a CRM, enrolling

Build AI-powered GTM workflows to find, enrich, and automate leads via natural language.

核心功能
Natural language search to identify Ideal Customer Profiles (ICP)
AI enrichment agents that perform live web research for real-time data
Automated GTM execution (CRM sync, email sequences, Slack alerts)
Parallel processing of rows for high-speed lead enrichment
Slack integration to run workflows and approve actions via chat
熱門使用情境
  • Finding specific niche companies (e.g., Series A fintechs in NYC with a new Head of Sales)
  • Automating B2B data enrichment for inbound leads
  • Scaling outbound sales workflows without manual data entry
  • Real-time monitoring of social signals like Reddit mentions to trigger sales actions
功能比較
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比較資訊僅供參考，請以官方網站的最新資訊為準。
如何使用
  • Users start by describing their target audience in plain English to generate a lead list. They can then add enrichment columns by asking AI agents to find specific data points (e.g.
  • 'What CRM do they use?'). Finally
  • action columns are set up to push this data to tools like Salesforce or trigger email sequences automatically.
定價
Orange Slice 採用 Freemium 定價模式，價格與功能可能隨時間調整。
Starter (Free)
$0
Includes 10 free messages and 2,000 one-time credits.
Starter (Paid)
$20/mo
10,000 credits/mo and unlimited messages.
Growth
$100/mo
60,000 credits/mo, priority email support, and dedicated Slack channel.
Scale
$400/mo
300,000 credits/mo, dedicated Slack support, and custom integrations help.
Enterprise
Custom
Custom credit packages, volume discounts, and SLA/security review.
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