Beautiful dashboards are the easy part to see. The hard part is the structured, deduplicated, validated warehouse underneath — and that foundation is exactly what we build, maintain and quality-control. Get the structure right, and the insights take care of themselves.
How your data flows
From raw sources to clear dashboards in minutes. Hover over any step to see the underlying tech stack.
Let's build your data pipeline — structured, validated, and built to be trusted.
Our philosophy
Behind every clean dashboard is a well-structured warehouse — data ingested, deduplicated, validated and quality-controlled around the clock on infrastructure built for the job. That foundation is the hard part, and it's what we build. Get the structure right, and the insights follow.
What we do
From raw, scattered data to BI anyone can read — any source, any complexity.
Connect any source — databases, CRM, ERP, APIs, files, streams — moved reliably with automated, tested ETL/ELT.
A clean, well-modeled warehouse — the reliable structure everything else stands on.
Deduplication, validation and anomaly detection — so the numbers are always trustworthy.
Power BI dashboards and KPIs that turn data into decisions anyone can read.
Ask your data questions in plain language — agents return SQL, charts and reports.
Servers on-prem or cloud, orchestrated pipelines running around the clock on data quality.
How we deliver
Every project runs with a team of AI agents working alongside our engineers. They draft pipelines, write tests, generate documentation and watch data quality around the clock — turning days of repetitive engineering into hours. We stay in control: the agents propose, we review and approve.
Discuss a projectOn the repetitive, error-prone work — boilerplate, tests and docs — without ever skipping validation.
Agents monitor pipelines and data quality 24/7 and flag anomalies before they ever reach a dashboard.
Agents operate on schemas, rules and metadata under our supervision. They never train on, copy or retain your data.
Process
No silent bad data. Every stage is tested, validated and tuned.
Map sources, business goals and constraints. Define what "correct" means for your data.
Design the pipeline, schema and contracts before a line of code is written.
Production-ready pipelines with unit and data tests from day one.
Reconciliation, anomaly checks and data-quality gates — no silent bad data.
CI/CD, monitoring, then tune for speed and cost.
Selected work
Real production cases. Open any for the full breakdown — problem, architecture, optimization, validation and results.
One trusted conversion view across CRM & ERP — manual reconciliation eliminated.
View case studyAn automated RFM pipeline feeding live BI — actionable segments, refreshed on schedule.
View case studyAnomaly detection on lead data — inflated metrics cleaned, KPIs made trustworthy.
View case studyA secure REST gateway that serves every analytical table as an always-fresh endpoint — so CRM, ERP and apps integrate in minutes.
View case study10 pipelines under one master DAG — faster reporting, full lineage, failures caught early.
View case studyA lead-work-density & temperature engine that scores team and manager effectiveness — and flags leads as they cool.
View case studyTools
Battle-tested tools for ingestion, modeling, orchestration and BI
About Us
We're a senior data engineering team with years of hands-on experience running production data platforms at scale — multi-source ingestion, a 2000-table warehouse, and ten orchestrated pipelines serving daily analytics.
We believe the warehouse structure is everything. We know how to design a quality data warehouse, keep it fresh, deduplicate and validate every load, and monitor data quality continuously — so the analytics on top are simply correct. That's the hard, unglamorous work most teams underestimate, and it's exactly what we do well.
Bring us your data pains — siloed sources, untrusted numbers, slow reports — and we'll close them.
Pricing
Clear rates for data engineering — scale up or down as your needs change
For small projects and individual needs
Full data engineering stack for growing companies
Custom solutions for large-scale data needs
Tell us about your sources and goals — we'll reply within 24 hours.
Discuss a project →Get In Touch
Have a data problem to solve? We'll get back to you within 24 hours.
Ukraine · Remote-friendly · EU timezone
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