Oil & gas · Local & private AI

Local and private AI for oil and gas operations

The useful extraction work here sits on handwriting, scans, and daily reports, and the contractual position on that data is usually that it does not leave the operator's control. A model running on infrastructure the company owns resolves that directly, and it also happens to be the deployment that works on a site with no reliable connection.

Start a buildIndustry overview
08Self-hosted inference · Retrieval on private data
Local & private AI08
Self-hosted inferenceRetrieval on private dataDe-identification
Oil & gasIllustrative

Local & private AI models

Self-hosted inference, fine-tuning, retrieval on private data, and de-identification.

Local & private AI · Oil & gasOne pairing of the matrix
Service
Local & private AI models
Industry
Oil & gas
Covers
Service companies · Working-interest operators · Field & wireline · Midstream services
Architecture
Unchanged from every other vertical — only the breaks differ
Engagement
A defined build, or run under management

What usually breaks

Before anything gets built.

The same failures recur across oil & gas. Strygon maps the specific system before proposing anything, but these are the ones worth checking for.

Paper in the field

Tickets are written by hand at the location and travel back in a truck. Anything illegible, lost, or disputed three weeks later is revenue the company already spent to earn.

Coding after the fact

Costs get coded to the well, lease, or AFE by someone in the office guessing from a ticket, long after the person who did the work could have said.

Invisible until month end

Spend against an AFE is only knowable once the period closes, so an overrun is discovered when it is far too late to do anything about it.

Recurring in oil & gasObserved pattern · the specific system still gets mapped

The approach

What Strygon does about it.

Local & private AI models, aimed at those failures specifically rather than at a generic checklist.

01Local & private AI
Handwriting read where it was writtenLocal & private AI
01
Part of the scoped build

Handwriting read where it was written

Extraction from tickets and daily reports runs on self-hosted models, so nothing is uploaded to a third party to be read, and anything unclear is flagged rather than guessed.

02Local & private AI
Daily reports summarized into the recordLocal & private AI
02
Part of the scoped build

Daily reports summarized into the record

Field and safety reports are summarized into structured fields on the job record instead of remaining as PDFs nobody opens after the day they arrive.

03Local & private AI
It runs where the connection does notLocal & private AI
03
Part of the scoped build

It runs where the connection does not

Inference on local hardware keeps working at a location with no bandwidth, which is the same property that makes the privacy position hold.

The approach for this pairingScoped in writing before work starts

What gets built

Concrete deliverables.

Everything in local & private ai models, applied to how oil & gas actually runs.

All of local & private aiIndustry overview
Self-hosted / on-prem LLM and vision deployment
Fine-tuning, evaluation, and quantization pipelines
Retrieval (RAG) over private data
On-device and edge inference
De-identification and policy guardrails
In scopeScoped in writing before work starts

Also for this industry

Other parts of the same system.

Custom software
Custom software02
Internal toolsData pipelines
Applied hereIllustrative

Custom software

The work happens where there is no signal. Any tool that assumes a connection is a tool the field will go around, and paper wins by default.

Read the custom software read
CRM & automation
CRM & automation03
Pipeline architectureSpeed-to-lead
Applied hereIllustrative

CRM & automation infrastructure

Service work is won on relationships and a callback. The pipeline is usually a phone and a memory, and it does not survive the operator's procurement cycle.

Read the crm & automation read
Accounting & financial ops
Accounting & financial ops11
Invoicing & ARReconciliation
Applied hereIllustrative

Accounting & financial operations

Ticket to invoice is measured in weeks, and every day of that is money the company already spent to earn sitting uncollected.

Read the accounting & financial ops read

Start

Start with what’s broken.

Send the situation in a paragraph. Strygon comes back with a read on what’s likely wrong and what it would take to fix, before anyone talks about price.

Most builds start withleads dying in an inbox., three half-finished pipelines., follow-up nobody owns., numbers that never agree., four vendors blaming each other.

Or email hello@strygon.com

What to send
A paragraph. What broke, and where it shows up.
What comes back
A read on what is likely wrong and what fixing it takes.
Price
The last conversation, not the first