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Investor overview · Data room open to qualified investors under NDA

The operating layer for oil and gas. Raising the next round.

We sit on top of SCADA, ERP, CMMS, and production accounting and answer the question every distributed operator needs answered every morning: what should we work on right now, in what order, with which crew? Live across 5,000+ wells and 2,000+ miles of pipeline modeled, measured in live deployments. Studies in minutes. Plans by 6 AM.

NDA · 48-hour reply

Live deployment figures5,000+ wells2,000+ miles of pipeline modeled15% more free cash flow, same crewUpstream + MidstreamSOC 2 Type II in progress · IEC 62443-aligned

How it fits together

One backbone. Two operating products.

The DataHub sits in the middle of the operator’s existing stack. FlowSync and WellOPS draw from it, write to it, and let the customer’s data lake stay the source of truth. Nothing rips. Nothing replaces.
  1. Customer's existing stack
    Nothing rips. Nothing replaces.
    • P2
    • Quorum
    • Peloton
    • Enertia
    • Maximo
    • SAP
    • AVEVA PI System
    • AVEVA
    • Cygnet
    • Esri GIS
    • ION SCADA
  2. The brain
    WorkSync DataHub

    Included in your WellOPS or FlowSync subscription.

    39 integrations
  3. Two operating products
    WellOPS and FlowSync
    Operations · 5,000+ wells
    WellOPS · Willie, AI field specialist
    Engineering · 2,000+ miles modeled
    FlowSync · Taylor, AI engineer agent
Live across the Anadarko, the Permian, Wyoming, and a midstream corridor. Well and pipeline figures measured in live deployments.

DataHub

Pre-built integrations to the SCADA, ERP, CMMS, and accounting systems the operator already runs. Included in your WellOPS or FlowSync subscription.

FlowSync

The engineering side. Build models from PDFs. Simulate on live data. Studies in minutes. Taylor inside.

WellOPS

The operations side. The ranked plan in every truck cab by 6 AM, scored by cash flow and risk. Willie inside.

What WorkSync delivers

Two sides. One operating layer.

Operations

15%

more free cash flow

Same crew. Four-week pilot. Cash-flow and risk-aware daily work plans in every truck cab by 6 AM.

Measured across 5,000+ wells in live deployments

Engineering

2,000+

miles of pipeline modeled

Hydraulic model builds go from weeks of manual effort to minutes of verification. Engineers stop rebuilding models and start running studies.

Deployment account

The proof, by the numbers

The operating layer for oil and gas.

Live across upstream and midstream. Running on the SCADA, accounting, and engineering systems operators already own. Charge when the metric moves, not before.
  • 5,000+
    wells live across our customer base
    Measured across live deployments
  • 15%
    more free cash flow on the same crew
    Measured in live deployments, four-week pilot
  • 35%
    fewer miles driven, same production coverage
    Measured deployment figure
  • Weeks → Minutes
    hydraulic model builds, manual effort to verification
    Deployment account

Upstream producers and midstream pipeline operators, on gathering and transmission, run the same backbone with different modules on top.

Charge when the metric moves. Not before.

Field operations at golden hour: rig, frac tanks, water pit, and vehicle staging across an open landscape
Rig, frac tanks, and vehicle staging at golden hour

WorkSync is not another system to log into. It is the operating floor the whole field day runs on.

Investment thesis

Four reasons WorkSync becomes the operating layer.

  1. 01

    The intelligence layer is a category.

    Every distributed energy operator runs the same stack: SCADA, ERP, CMMS, GIS, production accounting. None of them tell a foreman what to do tomorrow morning. The thin software tier that does is a category, not a feature. We are building it.
  2. 02

    The buyer pain is acute and measurable.

    Operating cost is set by what the field actually does each day, and the order that work happens in is still chosen by hand, lease by lease, every morning. That gap has a number on it. WorkSync moves free cash flow 15 percent on the same headcount and the same wells inside a four-week pilot (measured in live deployments).
  3. 03

    Agentic AI is a 24-month gap, not a 24-month feature.

    Stanford AI Index: inference costs down 99 percent 2018 to 2025. Deloitte 2026: 67 percent of finance leaders integrating agentic. Operators who deploy now compound the lead. Operators who wait spend the next decade catching up.
  4. 04

    The moat is the DataHub, not the model.

    Models commoditize. Pre-built integrations to P2, Quorum, Maximo, SAP, AVEVA PI System, AVEVA, Cygnet do not. The WorkSync DataHub is the work no competitor wants to redo, and we include it in your WellOPS or FlowSync subscription.

Inference is 99 percent cheaper. Free cash flow moves 15 percent on the same crew. The arbitrage window is open right now.

Stanford AI Index 2025 · WorkSync deployment figure

Defensibility

Five things competitors will not redo.

  1. 01

    Pre-built oilfield-native integrations

    P2, Quorum, Peloton, Enertia, Maximo, SAP, AVEVA PI System, AVEVA, Cygnet, ION, SCADA Pack, and the rest of the named connector library. Two-year head start on anyone trying to enter without it.
  2. 02

    Two named AI agents shipping today

    Willie (field) and Taylor (engineering) run on the same DataHub. Productized agents with operator-facing UX, not lab demos. Built to make your best engineers and pumpers faster. Not to replace them.
  3. 03

    Risk-shared commercial model

    Impact Guarantee: four-week pilot with license fees only when the metrics move. We charge when the metric moves, not before. Carrying the risk on our side is what shortens the enterprise sales cycle.
  4. 04

    Outcome data flywheel

    Every deployment captures what happened, what we predicted, and what moved. Models retrain nightly. The longer customers run, the wider the gap to a Year 1 entrant.
  5. 05

    OT-grade security from day one

    SOC 2 Type II in progress (report targeted Oct 30, 2026), IEC 62443-aligned, on-prem LLM option. Built for the operators who cannot use the public cloud and the IT teams who will not approve another SaaS perimeter risk.

Market

6 of 10of the highest-value upstream AI use cases are daily field operations. That is the layer WorkSync builds.

McKinsey, August 2026

McKinsey ranked upstream AI use cases by value in August 2026 and put roughly $230 billion of full-potential annual value on the industry, with the top ten carrying close to half of it. Six of those ten happen on a lease, on a shift, with a truck and a crew and a pump. Those are McKinsey’s dollar figures, not WorkSync revenue figures, and the classification of the six as field operations is ours.

Our own market model, sized bottom-up, is in the data room.

Field-operations use cases by full-potential value
McKinsey, August 2026
Use caseFull potential

ESP optimization

WellOPS

$20B

Gas lift optimization

WellOPS

$14B

Predictive maintenance

WellOPS, Willie

$11B

Rod pump optimization

WellOPS

$8B

Schedule optimization

WellOPS, the 6 AM plan

$7B

Supply chain

DataHub

$5B

Figures are McKinsey’s published full-potential values (McKinsey & Company, August 2026). The full ranking, the arithmetic across these six, and the reconciliation of the two different $65 billion figures in circulation are set out on the Upstream AI Value Map.

Why now

The window is closing.

  • 99%
    drop in inference cost
    Stanford AI Index, 2018 to 2025
  • 67%
    finance leaders integrating agentic
    Deloitte 2026
  • Under 20%
    of AI deployments measure the value they produced
    McKinsey, August 2026

Operators who deploy field intelligence in 2026 compound the lead across three years of cost takeout, capital efficiency, and safety performance. Operators who wait spend the next decade trying to close the gap.

WorkSync is what an operator picks when the window starts to close.

The plan

Where the next 24 months of investment go, in order.

  1. 01

    Go-to-market expansion

    Direct coverage across the producing basins we already deploy in, plus the midstream pipeline vertical. A larger field deployment crew, because deployment speed is the constraint, not demand.
  2. 02

    Product and AI agent development

    The next agents on the roadmap for midstream operations and regulatory reporting. Continued investment in the DataHub connector library, which is the part nobody wants to redo.
  3. 03

    Customer success and deployment science

    Repeatable four-week pilot mechanics and the outcome telemetry that proves the metric moved. The Impact Guarantee only works if the measurement is instrumented before the pilot starts.

Round mechanics, the split of the investment across these priorities, valuation guidance, ARR, NRR, gross margin, burn, runway, our bottom-up market model, and customer references are in the data room. Available to qualified investors under NDA.

The ask

The operating floor your competitors are on. Now.

Founded by Michael Atkin, P.Eng, on the conviction that the daily decision about what the field works on next is the most valuable unmodeled decision in the business. Leadership across upstream production engineering, midstream pipeline hydraulics, OT cybersecurity, and enterprise AI deployment. Detail and bios in the data room.