in10.ai
Irvine, United States (US) · Information Technology
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Last verified
May 2026
in10.ai is a Information Technology company based in Irvine, United States (US), with 10-20 employees. in10.ai's profile is verified on Enterprise League.
Overview
in10.ai is a leading supplier risk transparency SaaS platform, headquartered in Irvine, California. We provide critical supply chain visibility to businesses, enabling proactive risk management and informed decision-making. Our platform leverages advanced AI and data analytics – including LLM technology – to deliver unparalleled insights into supplier networks, identifying potential disruptions and vulnerabilities. in10.ai helps organizations across various sectors, including finance, logistics, and commodities, mitigate risk and optimize their supply chains. We are part of Bitvore, the AI company for risk intelligence, providing precision data to Fortune 100 clients.
in10.ai’s core offering is a SaaS platform that aggregates and analyzes data from 80,000 sources to create a comprehensive view of supplier risk. This includes real-time news, weather events, geopolitical factors, and commodity price fluctuations.
By combining this data with AI-powered analytics, in10.ai empowers businesses to anticipate and respond to potential disruptions before they impact their operations. We are committed to providing actionable intelligence that drives resilience and profitability.
in10.ai’s core offering is a SaaS platform that aggregates and analyzes data from 80,000 sources to create a comprehensive view of supplier risk. This includes real-time news, weather events, geopolitical factors, and commodity price fluctuations.
By combining this data with AI-powered analytics, in10.ai empowers businesses to anticipate and respond to potential disruptions before they impact their operations. We are committed to providing actionable intelligence that drives resilience and profitability.
Contact Details
info@in10.ai
Irvine, United States (US)
+1
Company Type
Private Limited Company
Employees
10-20
Categories
Keywords
#supply chain
#risk
#data
#analytics
#news
#commodities
#credit
#ai
#llm
#weather
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