
Datamam
ReviewEnterprise web scraping and data intelligence platform converting raw data into AI-ready structured intelligence.

Clients
About Datamam
Datamam is a web scraping and data intelligence company founded in 2006 and based in Laguna Beach, California. With 250-999 employees, the firm converts raw, unstructured data into structured, AI-ready intelligence at scale for enterprise clients across e-commerce, financial services, and healthcare. Services span custom software, AI development, business intelligence, market research, and regulatory-compliant data pipelines. Clutch lists a 5.0 rating across 5 verified reviews with a $50K+ minimum project size.
Who Datamam Is Best For
Datamam is built for enterprises that need large-scale, clean, structured data extracted from the web reliably and in compliance with applicable regulations. Their depth across AI development and BI consulting makes them useful for organizations building data pipelines that feed into machine learning workflows or competitive intelligence systems. Clients with small, one-off scraping needs or limited budgets will find the $50K+ minimum misaligned.
Why Choose Datamam
Things to Consider
Datamam Services
Selected Work

Automated Solution for Procurement Notices
Datamam built an automated pipeline that scrapes, normalizes, and delivers 2,500+ procurement notices a day (175–300 data points each, from 1980 to present) in OCDS JSON to AWS S3 four times daily, cutting costs about 30% and improving delivery speed 56%.
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EV Market Research & Analysis
For a U.S. used-EV leasing company, Datamam aggregated 1.2M+ listings from 120+ sources across all 50 states, adding policy, reliability, and competitor intelligence that lifted lease penetration in four new states and improved vehicle turnover 21%.
View case study
Custom AI Model Development for Real-Time Iceberg Detection
ArcticSafe
Datamam built a satellite computer-vision pipeline for polar-navigation NGO ArcticSafe, cutting median iceberg-alert latency and helping operators save an estimated $1.1M in a season with a false-positive rate under 6%.
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