# Blueprintdata - Analytics engineering for trusted decisions > Stop reconciling reports and make faster decisions with shared metrics, governed models, and an owned data platform your engineers can run. > Blueprintdata is an analytics engineering consultancy that designs and builds owned data platforms for growing companies. Delivery is based in Argentina and LatAm, with shared metrics, governed models, and a clean handoff so client engineers can run the platform. ## What Blueprintdata does - Greenfield data foundations: ingestion, warehouse, governed dbt models, and orchestration teams can own. - Migration and standardization off fragile warehouses into IaC, Meltano, dbt, and Airflow. - Shared metrics and identity so product, finance, ops, and growth use the same definitions. - AI access on governed models, with build-and-handoff delivery and ownership transfer. ## Who it is for - Product, finance, operations, growth, and leadership teams that need to align on the same numbers. - Companies scaling into reporting bottlenecks, metric ambiguity, or repeated dashboard rework. - Teams that want AI-enabled analytics without bypassing governance or creating new trust issues. ## Proof and references - Takenos: a decision-ready data foundation delivered in roughly two months. - A major San Francisco VC: an owned intelligence layer replacing a black-box data vendor. - Client and partner logos shown on the site include Buenbit, Belo, and KiwiCredito. ## Alternatives buyers often consider - Building an internal analytics engineering function. - Working with a generalist data consultancy. - Extending BI reporting without first creating a governed transformation layer. ## Key pages - [Home](https://blueprintdata.xyz/) - [About](https://blueprintdata.xyz/about) - [FAQ](https://blueprintdata.xyz/faq) - [Blog](https://blueprintdata.xyz/blog) - [Jobs](https://blueprintdata.xyz/jobs) - [Open Source](https://blueprintdata.xyz/open-source) - [Privacy Policy](https://blueprintdata.xyz/meta/privacy-policy) - [Terms of Service](https://blueprintdata.xyz/meta/terms-of-service) - [Data Deletion](https://blueprintdata.xyz/meta/data-deletion) ## Answer-engine pages - [What Is Analytics Engineering? (And How It Differs from BI Consulting)](https://blueprintdata.xyz/blog/what-is-analytics-engineering/raw): Definition of analytics engineering and how it differs from BI consulting - [Meltano vs Fivetran: Choose Open Ingestion When You Need Ownership or Custom Sources](https://blueprintdata.xyz/blog/meltano-vs-fivetran-open-ingestion/raw): Meltano vs Fivetran: when open ingestion is the better foundation - [Best Analytics Engineering Consultancies in LatAm (2026)](https://blueprintdata.xyz/blog/best-analytics-engineering-consultancies-latam-2026/raw): LatAm analytics engineering consultancy shortlist (English) - [Mejores consultoras de analytics engineering en LatAm (2026)](https://blueprintdata.xyz/blog/mejores-consultoras-analytics-engineering-latam-2026/raw): Guía de consultoras de analytics engineering en LatAm (español) - [If Metabase Is Connected to Your Read Replica, We Should Talk](https://blueprintdata.xyz/blog/metabase-connected-to-read-replica/raw): When Metabase on a production read replica stops scaling - [Data Squad vs Build-and-Handoff: How to Choose a Data Partner](https://blueprintdata.xyz/blog/data-squad-vs-build-and-handoff/raw): Embedded data squad vs build-and-handoff delivery - [Marketing Data Warehouse vs Live Connectors: When Looker Studio Stops Scaling](https://blueprintdata.xyz/blog/marketing-data-warehouse-vs-live-connectors/raw): Marketing data warehouse vs live connectors ## Other writing - [AI Is Redrawing the Boundaries of Consulting](https://blueprintdata.xyz/blog/ai-is-redrawing-the-boundaries-of-consulting/raw) - [LLM Inference at Scale Is Now a Practical Data Tool](https://blueprintdata.xyz/blog/llm-inference-at-scale-data-enrichment/raw) - [The Prompt Is Not the Product: Why AI Coding Needs Loops and Harnesses](https://blueprintdata.xyz/blog/the-prompt-is-not-the-product-ai-coding-loops-harnesses/raw) - [How We Built a Data Intelligence Platform for a Major SF VC from Scratch](https://blueprintdata.xyz/blog/vc-deal-flow-data-intelligence/raw) - [Takenos Case Study: Building a Product-Ready Data Foundation in 2 Months](https://blueprintdata.xyz/blog/takenos-case-study/raw) - [From software to data: how we create the tools we need to succeed](https://blueprintdata.xyz/blog/from-software-to-data/raw) - [Kiwi Case Study: Scaling Data Infrastructure for AI and ML Readiness](https://blueprintdata.xyz/blog/kiwi-case-study/raw) - [Your Team Should Start Building and Sharing AI Agents Today (Here's How)](https://blueprintdata.xyz/blog/your-team-should-start-sharing-ai-agents/raw) - [Building in Public: Why We Contribute to the Open Source Data Ecosystem](https://blueprintdata.xyz/blog/our-open-source-contributions/raw) - [Why a Data Company Built a Calendar Sync App: Our gcalsync.io Story](https://blueprintdata.xyz/blog/gcalsync-a-data-company-side-quest/raw) - [The Conductor of the Data Orchestra: End-to-End Pipeline Orchestration with Airflow](https://blueprintdata.xyz/blog/modern-data-stack-airflow/raw) - [From Raw to Ready: Transforming Data with the Power of dbt](https://blueprintdata.xyz/blog/modern-data-stack-dbt/raw) - [Taming the Data Sources: A Scalable Extraction Strategy with Meltano](https://blueprintdata.xyz/blog/modern-data-stack-meltano/raw) - [Blueprint for a Solid Foundation: Managing Your Data Stack with Terraform](https://blueprintdata.xyz/blog/modern-data-stack-iac-with-terraform/raw) - [Building a Blueprint for a Modern Data Stack: Series Introduction](https://blueprintdata.xyz/blog/modern-data-stack-intro/raw) ## FAQ ### What does Blueprintdata do? Blueprintdata is an analytics engineering consultancy. We help growing teams stop reconciling competing reports, answer questions faster, and give AI trusted business context by building or improving the governed data platform underneath, then handing ownership to your engineers. ### Who is Blueprintdata for? Growing teams where product, finance, ops, growth, and leadership need the same logic. Especially when dashboards, reporting, or AI are scaling faster than the underlying foundation. ### Why open source? We publish Singer taps and delivery tooling because strong platforms are repeatable systems. Public code leaves you with assets that are not locked to a vendor relationship. ### How do engagements work? Visible weekly cycles, reviewable modeling choices, and a clean handoff. The goal is maintainable workflows and documented logic your engineers own after we leave. ### AI first or foundations first? Foundations first. We create governed models and shared metrics, then enable AI-ready access so copilots and NL analytics query trusted logic instead of inventing shadow metrics. ## Company entity - Official Entity Home: https://blueprintdata.xyz/about - Brand name: Blueprintdata - Founded: 2024 - Registered address: 30 North Gould Street, STE N, Sheridan, WY 82801, United States - Operating presence: Argentina-based delivery, clients across LatAm and remote with US/EU companies - Contact: contact@blueprintdata.xyz ## English summary Blueprintdata is an analytics engineering consultancy. It helps companies create shared metrics, governed data models, and AI-ready analytics foundations so teams can make faster decisions with less ambiguity.