Your most tedious data work,
finally running itself.
IO22 Labs is a research-led practice — the person studying what's changing in data and AI is the same person who builds it and stands behind the recommendation. Most of the work happens in the lab first, so by the time something ships, it's already been tested. Seven years of business operations behind every call.
What We Do
Process Automation
We map the reports your team rebuilds every week, the exports living across five spreadsheets, the manual steps nobody has time to question — then build systems that run them correctly without anyone touching them.
Analytics & Reporting
Reporting your team can actually stand behind. We build validation in from the start so the numbers you share are complete, accurate, and defensible — not just a best guess that looked right on Friday.
AI-Augmented Workflows
AI applied to the parts of your process that are slow, inconsistent, or just boring — classification, extraction, summarization, routing. Designed to work alongside what you already have, not blow it up.
Data Quality & Governance
Bad data costs more than no data. We build quality checks, lineage tracking, and access controls that give teams confidence in what they're working with before it ever reaches a decision-maker.
Background
Based out of Austin, TX, the work splits roughly 75/25: most of it experimentation — testing new tools and studying how data and AI systems fail — and the rest implementation, grounded by everything that was tested before it.
Since 2019 the focus has been analytics and automation — understanding the processes that eat hours of someone's week, then building systems that run them correctly without anyone touching them. seven years across sales ops, customer support, cloud optimization, and data gives that work real context.
This has been applied at Fortune 500 scale — Charles Schwab, Salesforce, Apple — and for small teams still running reports by hand on Sundays. Working with a lab means you get recommendations that have already been stress-tested, not figured out on your dime.
7+
Years across data, ops & analytics
3
Fortune 500 companies served
2019
Year analytics became the full focus
50+
Stakeholders served per engagement
Tools & Stack
Case Studies
iOS Product
Building KineticForm on Apple Frameworks
Architecture and product decisions behind a native iOS fitness platform with real-time Vision AI form analysis and Apple Watch heart rate streaming.
Financial Services · Risk · AI
Cutting 400 Analyst Hours Down to Size
An AI-augmented compliance review process that reduced a 400-hour manual cycle by 80% — through automated scoring, LLM-assisted review, and rigorous backtesting.
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