Cómo Fireblocks usa Snowflake Cortex AI para gestionar de forma autónoma el 40-50% de las consultas de datos
Fireblocks, la infraestructura de activos digitales que procesa 10 billones de dólares en transacciones en 550 millones de carteras cripto, desplegó Snowflake AI Data Cloud para unificar 15 dominios de datos y construir un agente de IA llamado Fire Genie. El agente permite a los clientes consultar sus datos de carteras y transacciones en lenguaje natural a través de una API segura, gestionando de forma autónoma el 40-50% de todas las consultas de datos.
Impacto
40-50%
Consultas de datos gestionadas de forma autónoma por el agente de IA
2 FTEs
Capacidad de analistas ahorrada mensualmente
Desafío
Con miles de millones de filas en 15 dominios de datos, las consultas tardaban hasta 20 minutos y el análisis entre dominios era imposible. Los clientes y los equipos internos no podían acceder a datos sin la intervención de analistas.
Solución
Snowflake AI Data Cloud en AWS unificó los 15 dominios de datos. El equipo construyó Fire Genie, un agente de IA con Snowflake Cortex Agents y vistas semánticas que permite a los clientes consultar sus datos en lenguaje natural a través de una API segura con control de acceso por roles.
Herramientas y tecnologías
Lo que dicen los líderes
“Snowflake no era un “nice to have” para nosotros. Era un requisito imprescindible para poder seguir creciendo.”
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Historia completa
Fireblocks provides the infrastructure behind much of the digital asset economy — its platform secures and moves $10 trillion in transactions across 550 million crypto wallets for hundreds of institutions and fintechs. The scale of data that generates is enormous, and it was growing faster than Fireblocks’ infrastructure could keep pace.
Before Snowflake, even basic queries across billions of rows were taking up to 20 minutes. The company operated 15 separate data domains, each with its own data and semantic layer, making cross-domain analysis nearly impossible. Sales reps couldn’t get revenue insights while engineers were pulling on-chain data — the systems didn’t talk to each other.
Fireblocks built a new data platform on Snowflake, running on AWS. With all 15 domains flowing into the AI Data Cloud — from Salesforce analytics to Zendesk insights to on-chain transaction data — any team can now query across the full data estate. During a 45-day internal hackathon, the engineering team built Fire Genie: an AI agent using Snowflake Cortex Agents and semantic views that lets customers query only their own data in a secure environment through a natural language API.
The results shifted how the business operates. Fire Genie now handles 40–50% of all data queries autonomously, replacing what previously required direct analyst involvement. The AI-powered efficiencies across the platform save the equivalent of two full-time analysts per month, freeing the team to focus on higher-value work.
With row-level security and RBAC enforced at the Snowflake layer, Fireblocks is able to offer customers genuine self-service — without the risk of data leakage between accounts. The platform now scales with transaction growth rather than headcount.
AWS