Oil and gas does not buy from strangers.
For the high-stakes commercial decisions of selling into oil & gas. We help technology, equipment, and software companies align product, positioning, and go-to-market strategy with how the industry actually operates — from where your solution fits in the value chain to an executable plan that generates traction. And now that AI systems decide who gets surfaced to a buyer, we make sure those decisions are defensible too.
Built on 25+ years of energy commercialization advisory · DIG · Certified AI Ethicist & Auditor (Oxethica) · NIST Cyber AI Profile Community of Interest
Six proof cases across energy go-to-market and AI governance. Read the case studies →
Market Intelligence & Advisory. AI Decision Governance.
Better decisions, and defensible ones. Both arms serve the same person: the executive accountable for a high-stakes commercial decision in energy.
Market Intelligence & Advisory
Go-to-market and commercialization advisory for companies selling into oil & gas. Product, positioning, and strategy aligned with how the industry actually buys — grounded in the value chain, the stakeholders, and an executable plan.
AI Decision Governance
AI decision governance through Digital Information Governance® (DIG). When an AI-influenced decision is challenged, the record shows who authorized it, against what policy, and on what basis.
Five questions, answered in order.
Every engagement works through the same sequence — from where you fit to a plan you can execute.
Value-chain fit
Where your solution actually fits in the oil & gas value chain — upstream, midstream, or downstream — and what that placement means for how it gets bought.
Who has the problem
Which operators, service companies, and technology buyers feel the problem you solve acutely enough to act on it.
Decision-makers & stakeholders
The people who authorize, influence, and block the purchase — and how the decision actually moves through an energy organization.
Market-entry strategy
Positioning and go-to-market strategy aligned with how the oil & gas industry actually operates, not how outsiders assume it does.
Executable traction plan
A concrete, sequenced plan that generates traction — not a strategy deck that sits on a shelf.
From value-chain fit to traction — one engagement.
See what we doMeasured, not asserted.
Six proof cases across energy go-to-market and AI governance — including the first measured proof case for Digital Information Governance® (DIG).
Tamboran Resources
60 days from invisible to #1 across 4 brand-basin queries on 6 LLMs — AI brand visibility doubled, and 6 LLMs corrected from misrepresenting the operator. The first measured proof case for Digital Information Governance® (DIG).
Test the decision before the market does.
Most companies discover that their positioning is wrong after the launch, after the campaign, or after the sales team has spent six months explaining a product buyers do not immediately understand.
ModalPoint Buyer Decision Simulation creates evidence-grounded synthetic buyer panels modeled around the roles, pressures, objections, and decision criteria found inside the energy buying committee.
We use them to stress-test positioning, market entry, messaging, proof requirements, and adoption friction before the decision becomes expensive.
Synthetic research for speed. Market evidence for grounding. Human judgment before the final call.
- Energy-specific buyer roles
- Structured simulated interviews
- Objection and proof mapping
- Documented validation plan
When an AI decision is challenged, can you prove who authorized it?
We surface unsanctioned AI already running inside your organization, and produce the defensible record regulators are about to ask for. Authorize before — not detect after.
- decision_id
- DR-2026-0419-007
- authorized_by
- M. Chen / VP Operations
- policy_basis
- DIG-2.4 / TRAIGA §552.105
- risk_class
- HIGH (EU AI Act)
- model
- azure-openai-gpt-4
- decision_class
- REGULATED
- audit_status
- DEFENSIBLE
- ts
- 2026-04-19T14:22:08Z
Illustrative Decision Registry entry.
Information Provenance
Where the data came from, who is allowed to use it, and what its license terms permit.
Decision Traceability
Which inputs, models, and policies produced a given decision — reproducible from the record.
Representation Integrity
How AI-generated outputs are labeled, attributed, and disclosed in regulated workflows.
Audit Readiness
Systems, policies, and decision registries that hold up when the record is examined.
Digital Information Governance® (DIG) — the four-pillar operating framework for AI accountability. U.S. trademark, USPTO Reg. No. 8147558.
Oil & gas companies directory
Good go-to-market starts with knowing who is out there. Browse our directory of oil & gas companies across the value chain.
Analysis worth your inbox
Published deep-dives on energy go-to-market and AI decision governance — the framework, the regulatory landscape, and how the industry actually buys.
ModalPoint · Houston, TX · Operating in US + EU · Response within one business day
We publish what we learn, every week.
Much of how we read the energy buyer comes from the show Mark LaCour and Matthew Bertramhost on the Oil & Gas Global Network — 99 episodes with the sales leaders, marketers, and operators who actually close deals in energy. It is the working notebook behind the advisory.
- How energy buyers actually evaluate vendors
- What earns a meeting with an operator
- Where marketing loses the technical buyer
Talk to ModalPoint
A 20-minute call to see if ModalPoint is the right firm and whether the timing makes sense. No obligation either way.