AI-powered commercial operations platform for enterprise retail and supply chain
Arkham builds a data unification and AI platform for enterprise operations teams at retailers and CPG companies. The tech stack—SQL, Python, Kafka, Spark, Trino, Delta Lake, plus data integration tools (Airbyte, dlt, Meltano)—reflects a data-pipeline-first architecture designed to ingest and transform fragmented POS, inventory, and ERP systems. Active projects show a pattern of moving from analytics infrastructure toward operational AI: time-series forecasting, anomaly detection, and AI agents for query generation, signaling a shift from reporting to real-time decision automation.
Notable leadership hires: Commercial Lead
Arkham works with large enterprises to unify fragmented operational systems and deploy AI across commercial execution, pricing, and supply chain functions. The platform combines data integration, modeling, and AI capabilities, backed by an implementation team. The company is 11–50 people, founded in 2023, and headquartered in Palo Alto. Hiring is balanced across data (5 roles) and sales (5 roles), with notable open leadership positions in commercial roles, indicating aggressive U.S. market expansion. Current pain points center on fragmented system unification, moving AI experiments into production workflows, and accelerating customer acquisition in the U.S. market.
Arkham's core stack includes Python, SQL, Kafka, Apache Spark, Trino, and Delta Lake for data processing, plus Airbyte, dlt, and Meltano for data integration. Infrastructure runs on AWS (EMR, Glue). Monitoring uses Prometheus, Grafana, and OpenTelemetry.
Active projects include time-series forecasting and anomaly detection for retail operations, generative AI solutions for financial services, AI agents for SQL query generation, and commercial expansion campaigns. Focus areas are moving AI from experimentation to production and optimizing operational pipelines.
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