AI-led yield optimization

Predict Yield. Optimize Performance.

Every day your hydrocracker runs, a decision gets made with only part of the picture, and the margin from the rest of it disappears quietly.

Silos Cost You Yield

Operations, logistics and commercial each optimize their own piece. None of them sees the whole one.

Operations: what they see
Unit performance, not what logistics needs or what a contract is worth.
Logistics: what they see
Vessel and shipping constraints, not how a feed change shifts yield.
Commercial: what they see
Pricing and contracts, not the operational cost of hitting them.

Decisions made in isolation. Margin left on the table.

From Data to a Decision You Can Act On

We connect what you already have (historian data, planning models, contracts, shipping constraints) into one model of your unit. It predicts the yield impact of a decision before it's made, and ranks the options. Your engineers review every recommendation before anything changes. Nothing acts on its own.

Connect your data
Read-only access, no changes to your infrastructure.
Predict the outcome
Trained on your unit's own operating history, not a generic model.
Review before acting
Every recommendation goes to your engineers first.

See It Working

What your engineer sees: the option, its predicted yield impact, and how confident the model is. What happens on approval: the change is logged, and the outcome is tracked against the prediction.

Ranked recommendation: engineer review state
Feed rate deviation92% confidence
Recommended yield adjustmentPending engineer review
Modeled crack-spread capture$4.10 / bbl
Simplified process schematic: feed surge to reactor train to separator to stripper to fractionator, splitting into light and heavy product streams

A simplified, illustrative schematic of the flow our model connects to, not your unit's actual configuration or P&ID.

Modeled, not achieved

The Opportunity (Modeled)

$0K/yr
Low case: 30,000 bbl/day, 0.8% yield improvement
$0K/yr
Base case: 50,000 bbl/day, 1.2% yield improvement
$0M/yr
High case: 75,000 bbl/day, 2.0% yield improvement

Assumes 300 operating days per year. “Crack-spread capture” is the portion of the distillate crack spread realized by shifting yield toward higher-value product, not the full market spread itself. These are modeled ranges from stated assumptions, not a result we've achieved for any client. Your unit's actual numbers will differ. We model them specifically once we see your data.

Embedded, Not Consulted

Our engineers work inside your operation, not from a slide deck.

NDA
Before anything else.
Diagnostic session
We learn your unit, your data, your constraints.
3–4 week POC
A working model, on your data, reviewed by your team.

Why Hydrocracker.ai

FactorLegacy opt. (LP / RTO / sheets)ConsultingDIYHydrocracker.ai
Update frequencyQuarterlyPer engagementDepends on staffContinuous
Cross-domain viewNoNoRarelyYes
Speed to valueSlowMonths of scopingDepends on team3–4 weeks
Accountable for outcomeYouAdvisory onlyYouEmbedded with your team

Read-only access. No changes to your infrastructure. Every recommendation reviewed by your engineers before anything changes.

Who We've Worked With

“They tied together data sources that had never talked to each other before, and gave us real-time visibility into our trading decisions and the margin impact behind them. That turned into a strategic advantage, not just an operational one.”

Regional Director, Large US-based export refinery

“What stood out was the review step — every recommendation came with the reasoning, and our people made the call, not the model. And they moved fast: we had something real in front of us in weeks, not a quarter of scoping meetings.”

GM Refinery Operations, State-owned Refinery, India

Attributed by role and refinery type only: no company names or logos. Both contacts have approved this exact wording. No dollar figures or yield percentages appear here or anywhere near either quote.

Who We Are

Rahul (راهول)
Rahul (راهول)
Founder & CEO
$1B+ in AI-led value delivered across enterprise engagements spanning AI strategy, commercial optimization, and oil & gas supply chain. Leads client relationships and company direction.
Chandra (تشاندرا)
Chandra (تشاندرا)
Senior Advisor, Refining & Process Engineering
35 years heading refining operations at state-owned South Asian refineries. Expert in hydrocracking chemistry, catalysts, and yield optimization. Has run hydrocracker units at scale and knows every lever from the inside.
Claude (كلود)
Claude (كلود)
AI Reasoning Engine, powered by Anthropic
Frontier AI embedded as Hydrocracker.ai's core reasoning layer, holding chemistry, economics, and live market data in one model. Runs in advisory mode: every output is reviewed by our team before anything changes.

Let's look at your unit.

A 3–4 week POC costs far less than the margin you're already losing.

Get in touch

General: info@hydrocracker.net