Agentic AI · Upstream Asset Decisions
Agentic AI for upstream asset decisions.
Petropt helps operators, investors, and asset teams evaluate oil & gas assets faster — production analysis, decline forecasts, reserve/economics sensitivity, risk flags, and decision memos.
Start with the decision, not the model.
We map the fragmented engineering workflows on your team, find the few places where AI actually moves the work, and scope agentic systems around measurable field decisions — not generic copilots, dashboards, or transformation theater.
MIT found that 95% of enterprise GenAI pilots deliver zero measurable return. The fix is tighter workflow selection, hard operating constraints, and a deployment path tied to real business outcomes from day one.
How We Engage
From first workflow to production system.
Engagements are founder-led, with a hand-picked network of specialist engineers brought in per scope. See the full engagement model on the enterprise page →
Step 1 · Fit
Confidential 30-Minute Briefing
No system access required
We identify the workflow, the decision process, and your team context. We walk through one private workflow pattern relevant to your team. Either answer — fit or no fit — is useful.
Step 2 · Scope
Focused Scoping Engagement
NDA in place
We map the current workflow, quantify the friction, and define what a useful first deployment would need to prove. In writing — what gets built, what success looks like, who owns what.
Step 3 · Build
Pilot or SOW Delivery
Founder-led, end-to-end
We build around a narrow, high-value workflow with clear technical owners, success criteria, and handoff expectations. Code, models, and documentation hand back to your team. No vendor lock-in.
Founder-Led Domain Depth
Petropt is founder-led by a Stanford PhD and former Baker Hughes AI Transformation & Technology Leader — with experience across digital twins, autonomous optimization systems, and production intelligence tools.
Built to Deploy
Every engagement is founder-led and built toward a working system in production — not a slide-deck handoff. The goal is measurable field value, not advisory drift.
Decision tracking, then digital twin
We capture engineering decisions, assumptions, and field changes in one operational spine — a practical starting point for digital twin-style workflows and a concrete example of how fragmented context becomes usable. Reviewed privately on briefing.
Faster, defensible decisions on upstream assets.
Tell us about the decision you’re working on. 30-minute scoping call, NDA-bound.