AtlasAI Scores $60M to Build Multimodal Enterprise Brain for Supply Chains

AI · 6 min read

AtlasAI closed a $60 million Series B led by Horizon Growth to scale its multimodal model that fuses satellite imagery, IoT telemetry, and transactional data to predict supply chain disruptions. The round brings the startup's total funding to $105 million and will be used to expand data ingestion pipelines and regulatory compliance teams.

The company announced a pilot with three large U.S. retailers that will trial AtlasAI's Visibility Nexus—an interface that surfaces root-cause analysis, hot-spot mapping, and risk-scored alternatives for sourcing and routing. AtlasAI says its model can detect port congestion, crop yield anomalies, and inland logistics bottlenecks weeks earlier than existing systems.

Executives emphasize privacy and explainability: the product includes audit trails, feature attribution for predictions, and a human-in-the-loop workflow to ensure planners can override or query model outputs. The funding will also support localized model deployments to meet data residency requirements globally.