Seemore Data

Seemore Data is an AI data-context engine that automatically finds and fixes cost and performance inefficiencies in Snowflake environments, delivering an average of around 40% cost reduction. It uses trained agents and algorithms to analyze workloads, right-size warehouses, and enforce cost controls through Guardrails that apply the fix automatically rather than just flagging it. Core features include real-time cost and usage analysis filterable by domain, user, warehouse, and job; continuous AI-driven warehouse optimization that adapts compute; column-level data lineage with an AI lineage sherpa; and anomaly detection that surfaces the root cause of inefficiencies. It also provides domain-specific budget tracking and enforcement with alerts, plus proactive Slack notifications for cost spikes and optimization opportunities. Seemore Data is built for data leaders, data engineers, and CDOs who run Snowflake at scale and want to control spend without adding another dashboard to babysit. Named customers include Paychex, Artlist, Verbit, Tipalti, and PayU, with case studies citing 30-70% cost reductions. Because it enforces changes automatically, teams gain hands-off optimization, though that autonomy means it is best suited to organizations comfortable letting an agent adjust their Snowflake compute.

Data engineers, data leaders, and CDOs use it to automatically cut Snowflake compute costs and enforce budgets.