Alegion, an Austin, Texas-based human intelligence platform for AI and machine learning initiatives, raised $3.6m in Series A funding.
The round was led by RHS Investments.
The company intends to use the funds to accelerate its AI offerings and scale operations.
Led by Nathaniel Gates, CEO and co-founder, Alegion provides data science teams with a platform to accelerate and optimize AI and machine learning projects by supplying large-scale, custom training datasets, human-scored results validation, and human-in-the-loop exception processing.
The company provides AI training data, algorithm validation and human-in-the-loop exception processing. The Alegion platform supports a wide array of business automation solutions including user generated content moderation, sentiment analysis, data enrichment, tagging and categorization.
Customers include Fortune 500 companies and public-sector organizations such as Charles Schwab, Conde Nast and the State of Texas.