Origami.chat

Product Introduction

1. Definition: Origami.chat is an AI-powered B2B lead intelligence platform in the sales intelligence and data enrichment category. It combines natural language processing (NLP) with access to 100+ real-time data sources (including Crunchbase, LinkedIn, and web scrapers) to generate targeted lead lists.
2. Core Value Proposition: It eliminates manual prospecting by enabling users to find high-intent leads, enrich CRM/CSV data, and identify decision-makers in seconds using conversational AI. Primary keywords: AI lead generation, B2B data enrichment, sales prospecting tool.

Main Features

1. AI-Powered Spreadsheet Chat:
   • How it works: Users input natural language queries (e.g., “Find VPs of Sales at SaaS companies that raised Series B”). The NLP engine interprets requests, cross-references 100+ databases, and outputs structured lead lists. Technologies: Transformer-based NLP models (similar to GPT-4), real-time API integrations with ZoomInfo, Apollo.io, and public registries.
2. CSV/CRM Data Enrichment:
   • How it works: Upload CSVs (e.g., LinkedIn connections or company lists). The system appends missing data points (emails, funding status, tech stack) via automated data validation and entity resolution algorithms. Uses deterministic/probabilistic matching against proprietary databases.
3. Template Library for Prospecting:
   • How it works: Pre-built templates (e.g., “Find Property Management Companies by Portfolio Size”) auto-generate filters. Templates leverage regex and semantic search to scrape websites, classify companies by industry/tech stack, and verify contact details via email validation APIs like ZeroBounce.

Problems Solved

1. Pain Point: Reduces sales prospecting time from hours to seconds by automating lead list creation. Solves inaccurate B2B data, low lead conversion rates, and manual data entry.
2. Target Audience:
   • Sales Operations Managers needing enriched CRM data.
   • Growth Marketers running ABM campaigns.
   • Recruiters sourcing technical talent (e.g., “Rust Developers”).
   • VC Associates researching investment opportunities (e.g., “AI/ML Startups”).
3. Use Cases:
   • Enriching LinkedIn exports with direct emails for cold outreach.
   • Identifying companies using specific tech stacks (e.g., “Next.js SaaS firms”).
   • Scraping attendee lists from conference websites for event marketing.

Unique Advantages

1. Differentiation: Unlike manual tools (Hunter.io, Apollo.io), Origami.chat uses conversational AI to handle complex, multi-filter queries (e.g., “SOC 2-compliant SaaS companies hiring sales reps”). Outperforms generic scrapers with verified, compliance-ready data (GDPR/CCPA).
2. Key Innovation: Proprietary “Query-to-Leads” engine that translates natural language into structured database queries. Combines federated learning (to update models across data sources) and entity disambiguation to resolve conflicting records.

Frequently Asked Questions (FAQ)

1. How accurate is Origami.chat’s lead data?
   Origami.chat achieves 95% email deliverability and 90% company data accuracy via real-time validation against primary sources (e.g., SEC filings, company websites) and machine learning-based anomaly detection.
2. Can Origami.chat scrape data from LinkedIn or other restricted sites?
   It complies with platform ToS by using only public web data and licensed APIs—no scraping of protected social media profiles. For LinkedIn, it enriches existing exports via CSV uploads.
3. What industries does Origami.chat support for lead generation?
   Specializes in high-growth verticals: SaaS, fintech, healthcare, e-commerce, and Web3. Templates cover 50+ niches (e.g., solar installers, dental practices, YC-backed startups).
4. How does pricing work for Origami.chat?
   Offers usage-based plans (leads/enrichments per month) and enterprise tiers with custom data source integrations. Free trials include 50 lead credits.
5. Is Origami.chat GDPR compliant?
   Yes. All data processing adheres to GDPR/CCPA via encrypted storage, right-to-delete features, and ethical sourcing from public/licensed repositories only.