Turning Simple Prompts Into Qualified
Leads
Extracts leads from diverse online sources with precision, ensuring fresh and verified data at scale.
Describe your ideal lead in plain language without any technical skills.
AI detects industry, role, geography, and contact type from your prompt.
Automatically creates optimized search patterns for targeted data scraping.
Generates clean CSV/JSON lead lists ready for CRMs or sales pipelines.
Understands roles, industries, and geographies for accurate targeting.
Generating lead lists often requires technical scraping skills
With Snipr’s prompt-based input, you can simply describe your ideal lead in plain language, no technical expertise needed.
Targeting the right audience is difficult without industry filters.
AI Solution
Snipr applies AI-powered entity recognition to identify roles, industries, domains, and contact types, guaranteeing more accurate lead targeting.
Finding reliable contact information from multiple platforms is time-taking.
Snipr performs real-time data scraping from verified sites and directories, retrieving updated emails, phone numbers, and LinkedIn profiles.
Leads often come in unstructured formats that are hard to use.
AI Solution
Snipr’s CSV export automatically organizes lead data into clean, ready-to-import files compatible with CRMs and outreach tools.
Faster Lead Generation
Higher Lead Relevance
Scalable Campaigns
Improved Sales Efficiency
Traditional Workflows vs Quokka Labs’ AI Workflow
Phase 1
Planning & Scoping →
6–8 weeks
Phase 2
Development & Testing →
12–16 weeks
Phase 3
OptimizationDeployment & Optimization →
4–6 weeks
Phase 1
Planning & Scoping →
2 weeks (70% faster)
Phase 2
Development & Testing →
7 weeks (60% faster)
Phase 3
Deployment & Optimization →
1 week (75% faster)
GPT-4, Gemini, Grok. Power prompt understanding, query generation, and lead interpretation.
Python with FastAPI. Ensures scalable APIs, fast execution, and smooth integration.
Playwright, Requests, BeautifulSoup. Power the data scraping engine, handling real-time data scraping and data extraction.
LangChain, spaCy. Interpret natural language prompts, identify entities, and optimize queries.
Analyzed existing lead generation challenges, including slow manual research, messy data structuring, and a lack of natural language input.
Guided the client’s team on designing prompt-based workflows, AI query creation, and entity recognition using GPT-4, LangChain, and spaCy.
Delivered an optimized system with real-time scraping, structured CSV/JSON outputs, and seamless CRM integration.