Snowflake & AI

Unify your data — and put AI to work on it.

RhinoSource builds modern Snowflake platforms that pull scattered SQL and SaaS data into one governed, AI-ready environment — then layers on the generative and agentic AI that turns that data into decisions. We pair deep data-platform engineering with genuine frontier-AI experience (we build our own self-evolving AI products).

What we do

  • Snowflake data lake design & build

    a single analytical home for ERP, CRM, SaaS and legacy database data

  • Data integration & ETL/ELT

    Matillion, Stitch, AWS Lambda pipelines from Salesforce, Marketo and beyond

  • Legacy-OLAP modernization

    replace aging engines (e.g., Oracle Essbase) with scalable Snowflake aggregation

  • BI enablement

    Tableau, Power BI and governed self-service reporting

  • Snowflake Cortex AI

    intelligent, in-warehouse pipelines that monitor processes and escalate exceptions

  • Generative & agentic AI

    RAG expert systems, vector databases, and LLM-powered data pipelines

  • AI-augmented delivery

    an AI-assisted SDLC that ships and evolves your data pipelines faster, under human guardrails

Selected work

  • Sierra Circuits

    a Snowflake data lake unifying legacy SQL Server and SaaS data, plus a Cortex AI pipeline that monitors business processes and escalates customer issues

    Read the case study

  • A Fortune 100 financial-services & insurance firm

    a working prototype aggregation engine that computes complex multi-dimensional aggregations in Snowflake, replacing legacy Oracle Essbase

  • Agentic RAG expert system

    a retrieval-augmented AI built over a vector database of 12 years of professional-services IP

Trusted by

  • Geometrics
  • Sierra Circuits
  • Fortune 100 Financial Services & Insurance Company

Plus many more, across telecom, retail, financial services, government and industrial IoT.

Why RhinoSource

Most firms do data or AI. We do both, and we've done the hard part — governed, production-grade data platforms that are actually ready for AI, not demos that fall over in production.

From the blog

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