Your data is broken

See for yourself by checking the boxes below

CL-1084 — Superset custom charts · ongoing (14 mo)RF-2041 — permissions cleanup · Superset · wk 9AC-8020 — embed rollout (phase 2) · yr 2OR-1201 — Power BI → Superset migration · milestone 4/6TB-7118 — Tableau migration → Superset · 22 openCL-3301 — BI migration (wave 3) · month 11ID-8820 — dashboard port · 8 boards remainingPR-0991 — data audit · lineage mapping · retainer (18 mo)AC-1401 — audit · sources → BI map · week 4RF-0445 — metric mismatch · root cause passCS-8003 — SQL + Superset review · Q1OR-2201 — data engineering · Airflow · month 7CN-9774 — Kafka pipeline issues · 26 ticketsCL-5012 — Databricks jobs maintenance · long-term (5y)IM-6008 — pipeline recovery · sprint 12AC-7701 — orchestration · Airflow hardeningRF-1128 — spreadsheets → Superset · phase 2OR-9944 — warehouse loads · biweekly sync · 2yCL-4020 — metric definitions cleanup · Superset · wave 9PR-0663 — KPI layer consolidation · month 6CA-3901 — analytics layer · dashboards · 15 streamsRF-0884 — semantic model refresh · month 6CL-2100 — metrics vs dashboards alignment · month 13ID-0440 — Superset + metrics alignment · day 40AC-1201 — embedded engineer · month 10OR-0508 — embedded w/ team · shipping fixes · 6 moCL-9931 — retainer · pipelines + PRs · 8 jobsRF-0722 — embed sprint · week 4PR-1104 — embedded · Slack + GitHub · 19 moCB-8300 — fix / build backlog · 23 tasksCL-4402 — guardrails + roadmap · ongoing (12 mo)CL-1084 — Superset custom charts · ongoing (14 mo)RF-2041 — permissions cleanup · Superset · wk 9AC-8020 — embed rollout (phase 2) · yr 2OR-1201 — Power BI → Superset migration · milestone 4/6TB-7118 — Tableau migration → Superset · 22 openCL-3301 — BI migration (wave 3) · month 11ID-8820 — dashboard port · 8 boards remainingPR-0991 — data audit · lineage mapping · retainer (18 mo)AC-1401 — audit · sources → BI map · week 4RF-0445 — metric mismatch · root cause passCS-8003 — SQL + Superset review · Q1OR-2201 — data engineering · Airflow · month 7CN-9774 — Kafka pipeline issues · 26 ticketsCL-5012 — Databricks jobs maintenance · long-term (5y)IM-6008 — pipeline recovery · sprint 12AC-7701 — orchestration · Airflow hardeningRF-1128 — spreadsheets → Superset · phase 2OR-9944 — warehouse loads · biweekly sync · 2yCL-4020 — metric definitions cleanup · Superset · wave 9PR-0663 — KPI layer consolidation · month 6CA-3901 — analytics layer · dashboards · 15 streamsRF-0884 — semantic model refresh · month 6CL-2100 — metrics vs dashboards alignment · month 13ID-0440 — Superset + metrics alignment · day 40AC-1201 — embedded engineer · month 10OR-0508 — embedded w/ team · shipping fixes · 6 moCL-9931 — retainer · pipelines + PRs · 8 jobsRF-0722 — embed sprint · week 4PR-1104 — embedded · Slack + GitHub · 19 moCB-8300 — fix / build backlog · 23 tasksCL-4402 — guardrails + roadmap · ongoing (12 mo)

Audience

Two kinds of teams usually call us

Some already have a modern stack that no one trusts. Others are still running critical decisions through spreadsheets that the business has outgrown.

Broken systems

Pipelines & BI gaps

For teams whose data systems are already broken

If reporting meetings keep turning into debates, the issue is no longer visibility. It is system reliability.

  • Metrics don’t match across tools or teams
  • Pipelines fail silently and get caught too late
  • Definitions drift, ownership is unclear, trust is low

Spreadsheet ceiling

Exports & reconciliation

For teams whose spreadsheets are no longer enough

Spreadsheets feel cheap until they become infrastructure. Then every report depends on memory, manual work.

  • Critical reporting still depends on spreadsheets and exports
  • Manual reconciliation is eating time every week
  • The business needs a real system, not another excel sheet
Databricks
Apache Kafka
Apache Superset
Apache Airflow
Python
JavaScript

Founder-led execution

Founders in the work, not just on the call

The people who diagnose your system are the same people who implement and ship fixes. No handoff between sales and delivery.

direct accountabilityarchitecture + deliveryfast decision cycles
Rt Kazakov

founder

Rt Kazakov

Product Owner, Web Services Data Office at Dodo Brands

01
Involvement
Discovery, architecture, and delivery
Working mode
Hands-on with your team
View LinkedIn
Martin Grincevschi

founder

Martin Grincevschi

Product Owner, Data Platform at Dodo Brands

02
Involvement
Discovery, architecture, and delivery
Working mode
Hands-on with your team
View LinkedIn

Capacity

03

15+

Data analytics

Analytics coverage from metric design and reporting to decision support.

Capacity

04

10+

Data engineers

Hands-on implementation capacity for pipeline, platform, and reliability work.

Capacity

05

5+

Superset developers

Experienced dashboard and semantic-layer builders for Apache Superset.

Ready to fix it

Fix your data system

We'll look at your setup, find what's broken, and tell you what to fix first. No deck, no delay.