1 expert. A team of AI agents. Zero grunt work.

RavenCoreX runs AI agents that handle the repetitive side of Looker and BigQuery — so your engineers can focus on the decisions that actually matter.

Who We Are

I'm Martín Vélez — a Looker and BigQuery specialist who got tired of watching skilled engineers spend their weeks on repetitive audits, manual documentation, and the same PR reviews over and over.

So I built a team of AI agents to handle exactly that. Scout audits your LookML. Ledger monitors your BigQuery costs. Sage documents your models. Shield reviews your PRs before they cause incidents.

Your engineers stay in control. The agents do the grunt work. And the team gets their week back.

AI-native from day one: We don't use AI as a feature. We run AI agents as our primary workforce.

Production knowledge, not docs: Our agents are trained on real LookML and BigQuery patterns from enterprise deployments.

Your team stays in control: Agents surface the problems. Your engineers make the calls. Always.

RavencoreX team collaborating on data analytics and cloud solutions

Meet the agents

Six specialized AI agents handle the work your team shouldn't have to do manually. Each one focused on a specific layer of your Looker and BigQuery stack.

Live — Managed Service

Scout

Crawls your LookML and flags anti-patterns, unused fields, missing primary keys, and fan-out risks — with P0/P1/P2 severity.

Live — Managed Service

Sage

Documents your LookML models automatically. Enforces naming conventions and best practices across your entire codebase.

Beta — Q3 2026

Specter

Analyzes performance: explores without always_filter, PDTs missing datagroup triggers, explores causing full table scans.

Live — Managed Service

Ledger

Monitors your BigQuery costs in real time. Identifies your most expensive queries and predicts savings before you run them.

Beta — Q3 2026

Forge

Generates LookML from plain English requirements. Describes what you need — Forge writes the view, the measure, the explore.

Beta — Q3 2026

Shield

Reviews every PR before it merges. Catches performance regressions, broken references, and governance violations automatically.

Three ways to work with us

Need automation? Need expertise? Need someone on your team? You don't have to hire full-time for all three.

LKMind — AI Agents

Six specialized agents running on your Looker instance — continuously auditing, documenting, and monitoring. Always on. Available now as managed service, self-serve in Q3 2026.

Expert Consulting

Martín works directly with your team on complex projects: LookML architecture, Looker migrations, BigQuery strategy, custom visualizations. For the work that needs a human expert.

Staff Augmentation

Need a Looker or BigQuery engineer on your team? We place senior specialists directly in your squad — without the overhead of a full-time hire. Perfect for project peaks and hiring freezes.

Our Impact

Real results from enterprise-grade analytics engagements.

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Report Prep Time

Automated dashboards eliminate manual reporting

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Faster Dashboard Load

Optimized queries and caching strategies

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BigQuery Cost

Smart partitioning and query optimization

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Data Adoption

Self-service BI drives org-wide engagement

These are typical outcomes we achieve with enterprise-grade analytics engagements.

Methodology

Our Approach to Client Partnerships

At RavencoreX, we prioritize collaboration and transparency. Our tailored methodologies ensure that we meet your unique business needs.

Discovery Phase

We begin with a thorough analysis of your business goals and challenges.

Implementation Phase

Our team executes solutions quickly, ensuring agility and adaptability throughout the process.

Partnership and collaboration in data engineering and cloud computing

Ready to Transform Your Data?

Schedule a 30-minute discovery call to map your analytics roadmap. We'll discuss your data challenges, explore solutions, and outline how we can accelerate your path from raw data to business decisions.