Request a demo and run your back office on AI.
ENESOL replaces legacy ERP and spreadsheet workflows with an agent-driven, semantic data architecture built for oil and gas.
Why is ENESOL built in Tulsa?
Tulsa is where energy operations and back-office complexity meet. ENESOL was founded here to build an AI-native ERP that speaks the language of oil and gas, replacing spreadsheets with semantic data architecture.
Built by people who've done this before
A team of energy operators and ERP builders who've run the back office themselves and know where the manual work lives.
Founder and Chief Technology Officer
Mike Orr
Veteran of upstream operations and energy SaaS, with decades of experience building data platforms for independents and majors alike.
Chief Financial Officer and Chief Operating Officer
Michael Tetzlaff
Strategic operator with 20+ years of financial and operational leadership, specializing in SaaS growth, M&A, and value creation.
Chief Product Officer
Greg Post
Former ERP growth executive with a track record scaling platforms and driving product-market fit in energy SaaS.
Snowflake-native adoption
Built on Snowflake-native dynamic tables, ENESOL is where legacy ERP workflows end and agent-driven operations begin.
6
Core modules replacing manual spreadsheet workflows for operators.
1
Semantic data layer unifying revenue, land, and production data.
0
Reconciliation errors with ML-powered, immutable audit trails.
Auditors notice the trail in the first pass
The immutable audit trail changes how back-office teams and their auditors review revenue and division order work. That feedback is shaping what we build next.
The immutable audit trail gave our team a single place to verify every revenue transaction. What used to take days of pulling spreadsheets now takes a couple of targeted queries.
Daniel Reyes
Revenue Accountant, Midland Operator
We went into the review expecting the usual reconciliation backlog. Instead, the semantic data layer meant every number had a path back to source. That's the standard we want everywhere.
Margaret Chen
Senior Auditor, Energy Practice
Division order setup used to be the slowest part of onboarding a new well. The agent-driven workflow cut the manual entry, and the trail behind each change is clean enough for any review.
Robert Campbell
Division Order Analyst, Tulsa-Based Operator
As an independent auditor, I look for systems that make the underlying data easy to trust. ENESOL's architecture does that without asking us to change how we verify.
Susan Miller
Independent Energy Auditor
Help operators run revenue on a semantic data architecture
Join the Tulsa team building the AI-native ERP for oil and gas, or partner with us to deploy ENESOL for your operator clients.