AI agents for
data engineering
& analytics
Faster insights. Lower costs. Always on.
Your next data hire will be an Agent
Data engineering and analysis is often slow, labor intensive and expensive – until you hand it off to AI Agents.
We build always-on AI Agents that deliver tailored analytics for technical, product and growth teams.
They work quietly in the background 24/7, keep you updated, and only ask for input when needed.
Empowering teams with 24/7 data expertise
From automation to insight
Understanding business context automatically
From just documentation and github, our data engineer Agent (“Nash”) will be able to generate standardised documentation that interprets the business activity behind the raw data, and then will use this to generate the higher level tables, example questions and system prompt context for the analytical agents to then their work. The framework is subject matter agnostic – from market data, to internal financial or marketing data, to complex blockchain data.
Driving growth through better analytics
The analytical Agent (“Ada”) will be working 24/7. As well as responding to ad-hoc SQL queries, charts and dashboards initiated from plain language questions, Ada can also look for changing patterns and trends several layers down in the data that may not be obvious from the headline KPI.
Learning and improving over time
Through long-term memory the Agents will “learn” and improve over time, both in technical terms and also in the types and style of answers that different users want. Where they are not sure on how to proceed the Agents will use “interrupts” to get decisions and clarification from humans in the loop.
AI powered data engineering & analysis
Your future agentic data team
Nash
Agentic Data Engineer
Nash takes project websites, documentation and code on GitHub and runs through a workflow to identify the business context and metadata needed to understand how available data relates to actions. Nash then creates required tables/views to meet the data needs of Ada and Emmy.
In testing, using data on Snowflake and Databricks
Ada
Agentic Data Analyst
Ada uses data created by Nash to conduct product, community, growth and other analysis (e.g. what’s affecting growth, revenue, KPIs). Can be queried in Slack or own Terminal to give answers to specific questions, as well as creating analytical boards and reports in Studio for detailed insight.
Q&A via Terminal and Slack. In Alpha with selected users
Emmy
Agentic Data DevOp
Emmy monitors data deployments, pipelines and infrastructure, creates Prometheus and Grafana data and exports for wider montitoring, and generates alerts when there are infrastructure issues that need human intervention as well as assisting with configuration and troubleshooting. Able to collaborate via PR.
In internal testing