ai decision layer for CDU/VDU + Hydrotreaters
reads refinery's data(pi, lab, cmms, ledger) → maps losses → guides to solutions.
week-1: production potential + $ sized → free diagnostic → go/no-go
≤4 weeks: validated opportunity portfolio → deployed workspace
ops leaders at <200 kbpd independent us refineries. aim: fix constraints + run cdu/vdu + hdts at peak.
crude variability, tighter fuel specs (ulsd / jet), and h₂ + energy limits squeeze margins. when cut-points drift, preheat fouls, treat-gas misallocates, or bad actors force downtime → barrels + margin leak. subatix spots constraints, validates root causes with historian / lab / cmms data, and guides plant-owned fixes → hold rate, cut give-away.
end-to-end diagnostic in days → any stage of value chain
validated root causes + opportunity packs → design-ready potential
ops-owned ai workspace → convert gaps into fixes
ceo / cfo-ready evidence + input checklist → data-backed docs
plant-owned, budget-safe process → zero consultant dependence
zero risk: see value before commitment.
WEEK 0
demo + nda + data share
WEEK 1
free diagnostic: subatix runs analysis ex-mbb consultants verify diagnostic results
WEEK 2
ops team onboarded, workspace tailored
WEEK 3
opportunity validation led by your team
WEEK 4