{"company":{"slug":"snowflake","name":"Snowflake","legal_name":"Snowflake Inc.","aliases":["Snowflake","SNOW"],"primary_layer":"L6","primary_topic_id":"enterprise-ai-adoption","secondary_topics":null,"hq_country":"US","hq_city":"Bozeman","founded_year":2012,"is_public":true,"ticker":"SNOW","description":"Data-cloud incumbent layering AI-governance / data-readiness for enterprises adopting LLM workflows. SEC EDGAR coverage available; revenue / customer-mix data trustworthy."},"profile":{"snapshot":"Data cloud incumbent turning 6,100+ weekly AI accounts into ~$1.2B/qtr product revenue","stack_layer":"L6","why_join_top_2":["Cortex Inference Platform is hiring a Staff Engineer for GPU scheduling/LLM serving (req dated 2026-02-20) to support 6,100+ weekly AI accounts (d30269f6, Q2 FY2026) — production-scale inference, not a greenfield prototype.","Product revenue compounded $996.8M→$1.09B→~$1.2B across Q1–Q3 FY2026 with guidance raised three times to ~$4.4B; comp and roadmap rest on SEC-filed numbers, not pre-IPO projections."],"peer_comparison":{"substitute":{"name":"Databricks","delta":"Lakehouse substitutes the warehouse for AI-native teams doing custom training; Snowflake's edge is SEC-filed revenue scale (~$1.2B Q3) and zero-migration adoption."},"direct_competitor":{"name":"Databricks","delta":"Databricks leads on model train/serve via Mosaic AI; Snowflake counters with in-warehouse Cortex AISQL and governed multi-vendor inference (a01314f5) for SQL-first enterprises."}},"self_quality_score":{"notes":"Only one peer candidate (Databricks) available, so both comparison slots reference it with distinct framing.","originality":7,"evidence_density":9,"anti_generic_pass":true,"reverse_hype_present":true},"strategic_position":{"top_risk":"AI usage growth (5,000→6,100 weekly accounts) may not convert to expansion: if Q4 FY2026 net revenue retention falls below the 124–125% band reported in Q1–Q2 (10991605, d30269f6), the consumption thesis weakens against Databricks.","their_bet":"Become the governed, model-neutral execution layer for agentic analytics: Snowflake Intelligence + Cortex AISQL (63a19df5), multi-vendor frontier models (a01314f5), and Postgres for transactional/agent workloads via Crunchy Data (fcc49a99).","what_they_do_best":"Monetizing AI on data customers already own — 6,100+ accounts use Cortex/Intelligence weekly (d30269f6) at 125% net revenue retention, so AI features land without a data migration."},"top_business_signals_90d":[{"summary":"Q3 FY2026 product revenue reached ~$1.2B (+~30% YoY) with the FY2026 outlook raised yet again on Cortex/Intelligence adoption.","signal_id":"5db49545-1d2b-4f59-8117-9a2696e3d1c1","evidence_quote":"Snowflake reported Q3 FY2026 product revenue of roughly $1.2 billion, up approximately 30% year over year, and again raised its full-year FY2026 product revenue outlook"},{"summary":"Q2 FY2026 hit $1.09B (+32% YoY), NRR 125%, with AI usage scaling to 6,100+ weekly accounts and FY guide lifted to ~$4.4B.","signal_id":"d30269f6-233b-4908-82f2-9e0d4ef94f06","evidence_quote":"more than 6,100 customer accounts were using its AI/ML features on a weekly basis. 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