Your data pipeline is held together with duct tape.
Fragile scripts, manual data processing, engineers on call for jobs that should just work. We build AI-powered systems that pull, clean, and deliver your data reliably - so your team can focus on what the data means, not how to move it.
The problem
Data work that eats your engineering bandwidth.
Engineers babysitting data jobs
Your data team spends more time fixing broken pipelines than building new ones. Schema changes upstream, API rate limits, silent failures that nobody catches until a dashboard goes blank. It is reactive work that never ends.
Manual data entry across systems
Information lives in emails, PDFs, spreadsheets, and SaaS tools. Someone has to copy it from one place to another, normalize the formats, and hope nothing gets lost. That process does not scale past a handful of sources.
Reports that take days to compile
Board decks, investor updates, regulatory filings - all assembled by hand from scattered data sources. By the time the report is ready, the numbers are already stale.
What we build
Pipelines that run themselves. Reliably.
Intelligent ingestion agents
AI agents that pull data from APIs, documents, emails, and legacy systems. They handle format changes, mismatches, and edge cases that break traditional data pipelines.
Self-healing data pipelines
Orchestration systems that detect failures, diagnose root causes, and fix common issues automatically. When something truly novel breaks, they alert the right person with full context.
Automated reporting and analysis
Agents that compile reports from live data sources on schedule or on demand. Investor updates, operational dashboards, compliance filings - assembled in minutes, not days.