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Book a free callMeet your new plant team.
Four agents, each built for one job on the plant floor.
From first call to lifetime support.
We talk through your plant, your data and where to start.
We map your process, data flow and where automation fits.
We configure the agent on your data and rules with your team.
We track results, tune the agent, and report what it's saving you.
New lines, process changes, questions — we stay with you for as long as you use it.
Mark
Mark monitors your process control charts in real time, flags statistical deviations before they become defects, and keeps your SPC records up to date — without anyone having to stare at a screen.
Kevin
Kevin reads the night's production data, writes the daily log and lot records, and emails your team a summary before first shift. The report is on desks before anyone walks onto the floor.
Rose
Rose keeps the team organized — she tracks open items across email and messages, reminds people when something is waiting on them, and gives leadership a clear picture of what's moving and what's stuck.
Mary
Mary keeps every project moving — quotes, approvals, POs, deliveries and quality complaints. She sees where work stalls and nudges whoever owns the next step until the project is closed.
Plants that automated, measured, and won.
These aren't projections. They're published numbers from real plants that deployed AI on their operations data.
A manufacturer automating batch-sheet data entry cut production reporting from 2 days down to 3 hours. Engineers stopped re-keying data and started acting on it immediately. Quality control and production forecasting improved as a direct result.
General Electric deployed AI-powered predictive maintenance across 50,000+ sensors. Annual savings reached $27 million, with maintenance costs down 25% plant-wide. Every failure prevented is a line that didn't stop.
An electronics contract manufacturer losing $1.8M per year to unplanned line stoppages deployed AI monitoring. Downtime fell 40%, AOI false positives dropped 62%, and the full deployment paid for itself in under five months.
Toyota's AI-powered plants reduced production defects by 53% and cut logistics costs by 29%. Fewer defects downstream means less rework, less scrap, and more throughput per shift — without adding headcount.
AI ROI in manufacturing averages 200% across tracked deployments — the highest of any sector — because factory operations have quantifiable baselines and direct cost-to-savings mapping. Most plants find $2–10M in addressable losses once they look.
Built by engineers who got tired of writing the same reports every morning.
Auto Faktory was built by a group of Chemical and Mechanical Engineers with backgrounds in process engineering, continuous improvement and plant leadership. Every agent comes from a problem we've solved on a real line — then turned into a tool any plant can run.
See it on your own data.
A 30-minute walkthrough. Bring one report or one stalled workflow and we'll show you exactly how an agent would handle it.