ATX Logic is an AI systems engineering consultancy for founder-led, operations-heavy businesses. We build client-owned systems around recurring, high-value workflows and the tools a team already uses.
You name the outcome. We measure against it. Clients don’t bring us problems to patch. They tell us the outcomes they want to drive, we baseline the operating condition, and every reading after deployment measures the distance closed. Quantified client results will appear only after evidence and disclosure review.
01
GROWTH METRICSNew leads, follow-ups, and booked conversations the system drives02
OPERATIONAL EFFICIENCYHours returned and manual steps removed from recurring workflowsWhat actually happened when the system went in. Problem as found, fix as built, readings before and after. Client names withheld where an NDA applies.
EVIDENCE REVIEW IN PROGRESS
We are preparing engagement records for publication. No client name, quote, or quantified result will appear here until its evidence and disclosure level are approved.
01
Observe the workflow, define the operating condition, and agree on the outcome and boundaries.
02
Connect the required knowledge, tools, and workflow steps in an isolated implementation.
03
Test outputs against real operating examples and tune permissions, routing, and review points.
04
Release through an approved production gate with monitoring and rollback prepared.
05
Maintain the system as workflows, providers, and business requirements change.
06
Transfer client-specific files, credentials, history, documentation, and operating control cleanly.
Every system we build follows the same shape. Your raw data at the base, a company brain on top of it, and the work delivered in the apps you already use.
Implementation scope follows the workflow, integrations, permission boundaries, migration work, and support required. Model usage, hosting, and storage remain separate operating costs.
Eight years in data, ops, and markets. Most recently VP of Strategy & Ops at a distributed data infrastructure company. Track record of scaling early-stage ventures from pre-launch to product maturity, across GTM, data optimization, competitive positioning, and financial structuring.
Builds companies and backs them early. Most recently an angel investor focused on backing teams building novel AI and distributed systems. Track record of leading emerging technology research efforts, consulting on database management systems, and building top-of-funnel marketing businesses.