About PetroBrain
We come from the rig floor, not the venture office.
PetroBrain is built by oil & gas people for oil & gas people. Everything about it — the safety-first instinct, the refusal to guess, the obsession with citing sources — comes from having been the person on the hook for the answer.
The founder
Decades in the field — wellsite to boardroom.
Founder photo
placeholder — replace
[Founder name], [Title — e.g. Founder & Principal Engineer]
[Placeholder bio — replace with the real story.] A petroleum/process engineer with [X]+ years across the value chain: [upstream — drilling, well integrity, production], [midstream — pipelines, integrity], and [downstream — refining, process safety]. From the wellsite to the boardroom, [he/she/they] has carried the responsibility that PetroBrain is designed to support.
[Placeholder — a specific, credible career detail or two: operators worked with, a hard problem solved, the moment that made the case for a safety-first AI built for this industry. Keep it concrete and true; no invented metrics.]
[Placeholder — why this person is building PetroBrain now: the conviction that the industry’s hardest-won knowledge shouldn’t retire with the people who hold it.]
Our mission
Make the work safer — and less stressful — for everyone in the sector.
From the junior engineer at 2 a.m. to the HSE lead carrying a deadline, the people who run this industry deserve tools that have their back: instant, sourced, honest answers, and a system that knows the difference between a helpful suggestion and a safety-critical decision.
Why us
Built by industry people — not Silicon Valley tourists.
Plenty of teams can build a chatbot. Very few understand why a wrong torque value or a fabricated production figure isn’t a bug — it’s a hazard. That difference is the whole company.
We’ve made the calls ourselves
The people building PetroBrain have stood on the rig floor and sat in the boardroom. We know which answers are safety-critical because we’ve been accountable for them.
Domain-locked on purpose
We didn’t bolt oil & gas onto a general chatbot. The product is built from the industry’s standards, hazards and workflows outward — which is why it knows when to say “verify this”.
On the ground, not flying over
We’re close to the operators we serve — their regulators, their fields, their realities. That proximity is the foundation everything else is built on.
The vision · future tense
Where we’re going — not today’s productFrom operations copilot to the intelligence platform the African upstream never had.
We’re not trying to out-data the global incumbents from day one. We’re building the one thing they can’t — the AI intelligence layer that starts inside the operator’s own world — and letting that foundation grow into the data platform the African upstream has never had. In the right order, and honest at every stage about where on the path we stand.
Stage 1 · Today
LiveAI reasoning over your own data and the public record
PetroBrain reasons over the operator’s own operations — production, maintenance, incidents — together with free public data (EIA, OPEC, IEA, NUPRC, public satellite methane). This is live now, and it’s the foundation the rest stands on.
Stage 2 · Next
ExpandingMake the market feeds you already pay for usable
We build connectors so an operator who already subscribes to a market feed can have PetroBrain reason over it in context with their own operations — the customer’s licence, used on their behalf. We become the intelligence layer over data they already buy.
Stage 3 · The horizon
On the roadmapThe definitive intelligence platform for the African upstream
Over time — usage-generated, public-record-assembled, and selectively licensed — a proprietary West African upstream dataset that the global incumbents can’t easily replicate. The definitive intelligence platform for the niche first, then beyond.
A note on tense
Build it with people who’ve been in your boots.
See what an AI built by oil & gas engineers does with your hardest question.
Built in Nigeria, for the African and global energy industry.