Data Engineering · AI Systems

Your data is scattered. Your AI ambitions aren't.

We build the data infrastructure and AI systems that turn your business data into real decisions. Pipelines, data warehouses, custom agents and ML models. All on your own data.

97%
Revenue prediction accuracy
3 wks
From first call to first AI model
100%
Built on your own data, not generic models
5x
Cheaper to retain than acquire

From scattered data to working AI

We sit between your data and your AI ambitions. We build the infrastructure and intelligence layer that makes them work together.

Your Data

CRM & ERP
Product Events
Billing Data
External APIs
Legacy Systems
Churnless
Data + AI Layer
PipelinesAI AgentsML Models

AI Capabilities

Custom AI Agents
ML Models
MetAgent (BI)
Churn Prediction
Pricing Intelligence

Most AI tools fail because the data behind them isn't ready.

Your data lives across a CRM, an ERP, a product database, and a dozen spreadsheets. AI tools promise intelligence but they need clean, connected data to actually deliver it. That gap is what we close.

We make your data ready for AI. Then we build the AI on top of it.

Works with your existing stack

H
HubSpot
Z
Zoho
O
Odoo
SF
Salesforce
P
Pipedrive
+ your stack
BEFOREData scattered across CRM, ERP, spreadsheets
AFTEROne unified data layer, ready for AI
BEFOREAI tools promise intelligence but can't reach your data
AFTERPipelines that feed your AI tools in real time
BEFORENo visibility into what's driving churn or pricing gaps
AFTERML models trained on your specific patterns
BEFOREAnalyst bottleneck for every data question
AFTERAnyone asks questions in plain English

What We Build

Everything is custom. Designed for your data, your stack, your team. No generic dashboards.

Data Warehouse & Pipelines

We design and build the data backbone your AI tools need. Clean, structured pipelines that bring your CRM, ERP, product events, and billing data together into a single layer you can actually query.

  • Custom DWH architecture
  • Real-time and batch pipelines
  • ETL/ELT from any source

Custom AI Agents

Not generic chatbots. These agents know your products, your customers, your history. They answer business questions, flag risks, and draft outreach without anyone having to ask.

  • Agents connected to your DWH
  • Slack, CRM, and tool integrations
  • Fully custom to your workflows

ML Models

Custom machine learning models trained on your specific data. Churn prediction, pricing optimization, demand forecasting. Whatever your business needs to get ahead of the curve.

  • Churn and retention models
  • Pricing and demand models
  • Deployed on your infrastructure

MetAgent

Ask your database a question in plain English and get back an answer with a chart. Our AI agent connects directly to Metabase so your whole team can reach the data they need. No SQL required.

  • Natural language queries
  • Metabase and Slack integration
  • Charts generated automatically

How We've Done It

Real patterns from real clients. No buzzwords.

Data InfrastructureFinTech

DWH + pipelines that made AI tools actually work

The data was there. In CRMs, in ERPs, in product logs. But it wasn't connected. We designed a data warehouse and built the pipelines to feed it in real time. Their AI tools now run on clean, unified data.

Unified DWH built from scratch
Real-time pipelines from 4 sources
AI tools integrated and running
Custom AI AgentSaaS

Existing DWH connected to an AI agent that knows their business

They had a data warehouse but no way to surface insights without pulling in an analyst. We built a custom AI agent that knows their schema, their products, their customers. Now anyone on the team can just ask it a question.

Agent connected to existing DWH
Natural language business queries
MetAgent deployed on their stack
ML ModelsEnterprise

ML models for churn prediction and pricing decisions

Two strategic levers, neither of them driven by data. We built ML models trained on their actual customer and transaction data. One flags churn early. The other optimizes pricing across the portfolio.

Churn prediction model in production
Pricing optimization model
Both on existing infrastructure
ConnectBuildDeploy

How It Works

From your current data setup to a working AI system. In weeks, not quarters.

01
Connect

Map and connect your data sources

We look at what you have: CRM, ERP, product events, billing, external data. Then we design a clean unified layer that makes all of it queryable and ready for AI.

02
Build

Design the AI layer on top

Whether you need pipelines to feed AI tools, a custom agent that knows your business, or ML models for prediction, we build the right system for your actual problem.

03
Deploy

Ship working systems in weeks

You get a system running on your real data, making real decisions. Not a demo. Not a proof of concept. Something your team can actually use from day one.

Trusted by teams around the world

Ready to make your data work for you?

Book a free 30-minute call. We'll look at your current setup together and give you an honest read on what's possible. Pipelines, agents, models, or all three. No pitch. Just a real conversation.

Book a Free Call

From the Lab

How we think about AI, data, and keeping customers.

All Articles →
Building an AI-Powered SQL Assistant with Metabase
April 2023 · Sebastian Cajamarca

Building an AI-Powered SQL Assistant with Metabase

How I built a two-agent system that lets anyone query a database in plain English. The first version of MetAgent.

Read more
AIR: K-Nearest Neighbors
October 2024 · Sebastian Cajamarca

AIR: K-Nearest Neighbors

Using KNN to find the optimal price for an Airbnb in Medellín. A real investment decision made with data.

Read more
MetAgent Local — Running a Multi-Agent Analytics System on Your Own Infrastructure
March 2026 · Sebastian Cajamarca

MetAgent Local — Run the Full Stack on Your Own Infrastructure

One Docker Compose command. No cloud accounts. No data leaving your network. Full multi-agent analytics with local LLM observability.

Read more