Babel Street Analytics
Babel Street Analytics is identity matching software that analyzes multilingual content, revealing hidden insights about people, events, entities, and the sentiments surrounding them.
Match and Text Analytics capabilities provide adaptability, scalability, and speed to streamline complex identity matching and entity resolution processes, empowering organizations to make data-driven decisions with certainty while mitigating risk.
Babel Street Data
Babel Street Data employs advanced technology and deep analysis expertise to deliver an expansive array of Raw Collections, Refined Information, and curated data across multiple topics, industries, and regions.
Using a secure, scalable framework and ethical practices, Babel Street Data ensures data integrity, quality, and compliance. Raw data is enriched and refined, providing businesses and governments with decision advantage.
Babel Street Insights
Babel Street Insights delivers advanced AI-powered Open-Source Intelligence (OSINT) that empowers users to search, aggregate, and integrate data regardless of source, language, and format.
By harnessing AI, Babel Street Insights breaks down language barriers to deliver crucial, multilingual insights from the most comprehensive range of global sources, including social and the deep and dark web.
Our Methodology
Transform Data Ingestion, Enrichment, and Use
AI-powered human-machine workflow simplifies processes and eliminates the need for advanced technical skills
Collect
The Power of Collection
Gather alternative data from diverse and hard-to-reach global sources
Enrich
Context is King
Enrich data for deeper, focused insights ready to work for you
Match
Find the Needle
Pinpoint key entities with speed and precision, regardless of language
Analyze
Connect the Dots
Reveal insights, patterns, and relationships
Score
Prioritize Risks
Drive focus based on impact, likelihood, and tailored criteria
