Silent tables
Tables stop updating, and the failure stays invisible until a stakeholder asks.
We build focused tools for data engineers and analysts who are tired of finding out about broken pipelines from their stakeholders.
Problems
Tables stop updating, and the failure stays invisible until a stakeholder asks.
An upstream schema change breaks models, and nothing flags it.
Row counts drop while every job still shows green.
The morning goes to finding where it went wrong, with no time left for real work.
Approach
Founded by a senior data engineer with 15+ years building and running data platforms in the UK. We've been the person paged at 7am because a dashboard was wrong. We build the tools we wished we had: simple to set up, quiet until something matters, and clear about what broke and why.
We pair a data engineer's instincts with AI that does the tedious digging, so alerts arrive with context, not just a red light.
An AI watchdog for silent data-quality problems. It watches your Postgres tables for stale data, schema drift and unexpected row-count changes, and explains the likely root cause in plain English when something breaks.
Visit Row MonitorKnow when a DAG is late, not just when it fails.
Why Eklavya? Eklavya, the self-taught archer, known for focus and precision, plus AI. Our tools aim at one problem and hit it.