Data Architecture, Engineering and Analytics Agency
We don't stop at reports. We build the intelligence layer that makes your entire company smarter - from raw data to AI powerhouse.
The Problem
Every growing tech company hits the same wall.
10+ tools, zero unified view. Your product data doesn’t talk to your marketing data, which doesn’t talk to finance.
Someone asks “what’s our retention?” and waits days. Decisions stall. The data exists - it’s just unreachable.
You hire an analyst. They spend 6 months understanding where data lives. Then they leave. You start over.
What We Build
From raw ingestion to AI assistance — every layer designed to work together.
Every data source consolidated into a single BigQuery warehouse. 20+ connectors via Airbyte, automated syncing, built-in cost protection.
170+ dbt models converting messy operational data into clean, tested, business-ready views. Revenue, retention, attribution — defined once, consistent everywhere.
Lightdash dashboards-as-code — every chart is a YAML file in git, fully AI ready. Product, Marketing, Finance get tailored dashboards. No more conflicting numbers.
Custom Python models in automated pipelines. RFM segmentation, churn prediction, conversion forecasting — predictions written directly into your warehouse.
Our in-house developed tool, ai.tvaras, with live access to your data warehouse, BI platform, ad platforms, and task management tools. Ask any question either from UI or Slack, get an answer in seconds.
Kanban workflow, structured request intake, weekly iterations, 1–5 day turnaround. We operate as your embedded data team.
Data-Driven PPC
Most agencies optimize in the dark. We connect ad platforms with our AI-powered data layer, track every change in real-time, and let intelligence do the heavy lifting.
Every click, conversion, and cost synced to Data Warehouse in real time. Attribution models built on actual data, not platform guesses.
Custom ML models trained on your warehouse data predict conversion probability and adjust bids — beyond what native Smart Bidding can see.
Our monitoring pipeline flags anomalies in spend, CPA, and ROAS within minutes. No more discovering problems in the weekly report.
Audience Targeting Precision
From scattered clusters to intelligent full-funnel coverage
Test & Learn Speed
From slow manual A/B tests to rapid data-driven experimentation
Engagement Models
Three models, each proven in production.
For companies starting from scratch or rebuilding.
For companies with existing infrastructure that need a reliable data team.
For companies with existing data infrastructure that want the AI layer.
Track Record
From our reference production deployment — running since inception.
Client Data Satisfaction Score
Average self-reported score across all clients
Work Distribution: Before & After
How the team's focus shifts once the foundation is set
Time to Answer a Data Question
From request to answer, median response time
Where the Data Team Spends Time
From firefighting to building — how focus shifts after onboarding
Our Toolkit
Ideal Fit
You run several products or business units, and each one generates data in different systems — CRMs, payment platforms, ad tools, internal apps. Nobody connects them, so decisions are made on fragments instead of the full picture. We unify everything into a single source of truth.
Data requests are outpacing your analyst capacity. Every team wants answers yesterday, the ticket queue keeps growing, and your best people spend more time firefighting than building. We eliminate the bottleneck by building self-serve analytics and AI-powered assistants that give everyone instant access.
Marketing, Product, Finance, and Operations all need different views of the same data — and the numbers keep conflicting between teams. We build a governed semantic layer so every department sees consistent, trustworthy metrics while still getting the specific views they need.
You want teams to explore data independently, but every attempt has ended in conflicting reports, broken queries, and ungoverned spreadsheets. We design the guardrails — access controls, validated metrics, curated dashboards — so exploration happens safely at scale.
You’re ready to go beyond static dashboards. Your team wants to ask questions in Slack and get instant answers, automate campaign management through natural language, and generate reports with a single message. Our DataBot AI assistant makes this real — deployed on your data in weeks, not months.
We’ve built end-to-end analytics for major e-commerce companies. Ready connectors for Shopify, Google/Meta Ads, Stripe, payment gateways, inventory systems, and product catalogs. From attribution modeling to cohort analysis to demand forecasting — we know the e-commerce data playbook inside out.
Every capability described above is running in production today.
Or reach us at albus@vej.ai
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