Datasetlabs offers an AI‑driven platform that creates custom, structured datasets from web scraping, API queries, and verification based on plain‑language prompts. Users can generate high‑quality outbound lead lists—including company details, contacts, and signals—tailored to specific ideal customer profiles, with results ready for immediate outreach.
Funding
Funding not disclosed
Founders
Product
Problem
Companies often rely on static, incomplete databases or manual research to build prospect lists, leading to low-quality leads, high effort, and missed targeting opportunities.
Solution
Dataset Labs lets users describe their ideal customer profile in natural language. AI‑driven agents then crawl public websites, query multiple API providers, and cross‑verify each data point. The system returns a clean, structured dataset that includes titles, verified emails, company signals, and LinkedIn profiles, ready for immediate outreach. All rows are validated against 30+ data sources, and only successfully verified records are delivered, eliminating the need for manual stitching or enrichment.
Target Audience
Primary users are sales and business development teams, founders, and marketers who need accurate, up‑to‑date prospect lists for outbound campaigns.
Features
- Natural‑language prompt interface that generates custom lead lists without coding
- Automated web scraping and API querying across diverse sources, including job boards, company directories, and social media
- Multi‑layer verification of contacts (email, phone, website) with a waterfall of 30+ providers
- Real‑time delivery of rows in CSV/Excel/JSON formats, with citations for each data point
- Credit‑based pricing where each verified row consumes credits proportional to research complexity
- Free starter credits and month‑to‑month plans with rollover and scalable volume discounts
- End‑to‑end encryption in transit and at rest, with data never used to train external models