# Renacore — Map of Content A map of the **ideas** behind Renacore — the clearest live instance of [[The OT Intelligence Layer]] thesis playing out inside one company. It threads together a *thesis* (industrial failure is a forecasting problem, not a maintenance-budget problem), a *core principle* (physics is the moat against hallucination), an *architecture-as-strategy* (read-only is the whole go-to-market), a *trust posture* (human-in-the-loop agentic triage), and only then the company and commercials. Start anywhere and follow the wikilinks. > [!abstract] How to read this map > The story stacks into five layers. There is a **thesis** (the cost of *too late* dwarfs the cost of upkeep, so failure becomes a forecasting problem). There is a **core idea** ([[Physics Informed Neural Operators|physics-constrained]] prediction — the actual differentiator). There is an **architecture-as-strategy** (read-only over existing OT, which *is* the wedge). There is a **trust posture** (agentic, but human-approved in a safety-critical loop). And there is a **company** (Qatar LNG-first, pre-revenue, seed-stage). Read top-to-bottom for the narrative, or jump to [[#The company, compressed]] for the deal facts. > [!info] At a glance > - **What** — An asset-centric, physics-informed AI that sits *read-only* over existing SCADA/PLC/historian systems and forecasts failure risk on critical LNG rotating equipment 30/60/90 days out. > - **Core idea** — Statistical features + gradient-boosted trees, every prediction validated against physics constraints. Physics as a *guardrail*, not just a loss term. > - **Wedge** — A read-only edge connector at Purdue L3/DMZ, OPC UA, outbound HTTPS 443 only. Integrates in <30 days because nothing in the plant has to change. > - **Market** — LNG / rotating equipment, Qatar & GCC first (QatarEnergy, Shell Qatar, Dolphin, Nakilat), on the back of existing energy relationships. > - **Stage** — Pre-revenue on the LNG product; relationship-stage pipeline. Raising a $3M seed at $12M pre. --- ## 1 · The thesis — failure is a forecasting problem The industry frames maintenance as a *cost line*. Renacore's argument is that this misnames the problem. > [!quote] The core insight > The pitch isn't "spend less on upkeep" — it's "one unplanned LNG shutdown costs millions **per day**." The moment you price the downside correctly, reactive and calendar-based maintenance both look like uncontrolled risk, and the real question becomes: *can you see the failure coming?* Reframed that way, the job-to-be-done is **forecasting**, not servicing — and a forecast is something software can own. This is the [[Predictive Maintenance in O&G]] thesis applied to the highest-consequence assets in the plant, and the company-level expression of [[The OT Intelligence Layer]]: a read-only intelligence stratum that sits above control systems and turns raw telemetry into forward-looking risk. - Cost framing → [[Renacore/The Reactive Maintenance Gap]] · [[Maintenance CapEx]] - Why this is a *layer*, not a point tool → [[Renacore/Asset-Centric Intelligence Layer]] - Where it sits in the value chain → [[Natural Gas Value Chain]] ## 2 · The core idea — physics is the moat The defensible idea is *not* "more ML." It is constraining ML so it cannot be confidently wrong. > [!tip] Why physics-constrained, not black-box > In OT, a confidently wrong alert is worse than no alert — it burns operator trust and gets the whole system switched off. Renacore blends statistical features and gradient-boosted trees with **deterministic physical thresholds**, then validates every prediction against physics constraints before it ships. Physics as a *guardrail*. This is the practical, deployable cousin of [[Physics Informed Neural Operators]] — the same instinct, productised for a plant rather than a paper. The outputs are decision-grade, not score-grade: **failure probability**, **Remaining Useful Life (RUL)**, a health score, **Trip Risk %**, and a **Latent Degradation Index**. Each is something a reliability engineer can act on without trusting a black box. - Why a generic ML vendor can't cheaply copy this → [[Bespoke Engineering in Industrial AI]] · [[AI era Defensibility]] - Why narrow + deep beats broad + shallow here → [[The Age of Vertical Models]] · [[Where Domain Evals Matter Most]] - How trust is *earned and measured* → [[AI Verification]] ## 3 · Architecture as strategy — read-only is the whole wedge The most important design choice is a *refusal*: Renacore never touches the control loop. > [!note] The read-only edge connector > An Edge Connector sits at **Purdue L3 / DMZ**, speaks **OPC UA**, and makes **outbound HTTPS 443 only** — no inbound ports, no writes, nothing in the process changes. Because the plant doesn't have to be modified, integration lands in **<30 days** and the security review collapses at the same time as the deployment risk. This is the quiet genius of the model: the constraint that looks like a limitation is actually the go-to-market. "We can't break anything because we can't write anything" is the sentence that gets a paranoid OT buyer to yes. It is [[The OT Intelligence Layer]] thesis made literal — intelligence *over* the stack, never *in* it — and a textbook expression of Zero Trust. - The connector & infra detail → [[Renacore/Architecture and Infrastructure]] - The security posture as a sales asset → [[Renacore/Security and Zero Trust]] - Why this is a durable position → [[7 Powers]] · [[Defensibility Principles MOC]] ## 4 · The trust posture — agentic, but human holds the pen Renacore *is* an agent — it just never gets the last word. > [!warning] Autonomy stops at the work order > The agent drafts work orders into the CMMS (**SAP PM**, **IBM Maximo**); a human approves. No autonomous control action, ever. In a safety-critical environment this is the only defensible posture for [[Autonomous Agents]] — and it is *why* the system gets adopted, not a constraint on it. Trust is gated, not assumed. A model only goes live past an explicit quality bar: **>85% backtest precision**, **alert flicker <1/hr**, **zero physics violations**, and an explainability/RCA trace — earning a **Model Release Certificate**. Three validation layers stand in front of production: Input Hygiene → Golden Batch core → Logic Sanity Check. - The gating system in full → [[Renacore/Physics-First Quality and Governance]] - Why domain-specific evals decide trust here → [[Where Domain Evals Matter Most]] > [!danger] Diligence flag — alignment ≠ certification > Renacore is *aligned* to ISO 9001 / 14224 / 27001 / 31000 and SOC2/ISO-27001 *ready* — but holds none of these certifications yet. For a buyer whose procurement gate requires certs, this is a real timeline risk, not a checkbox. ## 5 · How it sells — the data is the moat, the relationship is the door The commercial idea mirrors the technical one: privileged access compounds. > [!info] Land-Prove-Expand, not product-led > No self-serve. Discovery → technical workshop → data review → **narrow paid pilot on one or two critical assets** → ROI report → multi-year expansion to the whole train, then the fleet. The wedge is small on purpose; the prize is the installed base. The edge isn't only the model — it's privileged access to Qatar LNG operators that a cold-outreach competitor cannot replicate. Echoing [[Predictive Maintenance in O&G]]: *the moat is in the data*, and the data comes through the relationship. - The pilot mechanics & KPIs → [[Renacore/Pilot Structure and KPIs]] - The commercial motion → [[Renacore/Business Model and Go-To-Market]] · [[Selling AI MOC]] - Why services-shaped delivery is the wedge → [[AI Eats Services Not Software]] · [[Industrial AI Unit Economics]] - Who actually buys → [[Renacore/Buying Committee and Personas]] ## The company, compressed > [!abstract] The deal facts, in one place > - **Origin** — Founded 2025; pivoted from a horizontal enterprise-AI platform into LNG predictive intelligence on the back of Qatar energy relationships. → [[Renacore/Company Overview and Pivot]] > - **Stage** — Pre-revenue on the LNG product; relationship-stage pipeline only. → [[Renacore/Traction and Pipeline]] > - **Raise** — $3M seed at $12M pre. → [[Renacore/Investment Snapshot]] > - **Reality check** — The technology story is strong; the *traction* story is not yet there. The bet is on relationships converting to paid pilots before the runway and the certification gap bite. See [[3 Hard Truths of Deep Tech Commercialization]]. ## Concept map ```mermaid graph TD THESIS[Cost of too-late: failure is a forecasting problem] --> LAYER[The OT Intelligence Layer] THESIS --> FORECAST[30/60/90-day failure risk] FORECAST --> PHYS[Physics-constrained prediction] PHYS --> GBM[Stat features + GBM] PHYS --> GUARD[Physics guardrails] PHYS --> OUT[RUL / Trip Risk % / Latent Degradation Index] LAYER --> READONLY[Read-only edge connector] READONLY --> PURDUE[Purdue L3 / DMZ · OPC UA · 443 out] READONLY --> WEDGE[<30-day install, zero disruption] OUT --> AGENT[Agentic triage] AGENT --> HITL[Human-in-the-loop work orders] AGENT --> CMMS[SAP PM / IBM Maximo] HITL --> GATE[Model Release Certificate] WEDGE --> GTM[Qatar LNG-first, Land-Prove-Expand] PHYS --> GTM GTM --> MOAT[Data moat + relationship door] class LAYER,PHYS,READONLY,AGENT internal-link; ``` > [!tip] One sentence that connects everything > Renacore reframes industrial failure as a [[Predictive Maintenance in O&G|forecasting problem]], solves it with [[Physics Informed Neural Operators|physics-constrained]] prediction so the model can't be confidently wrong, delivers it through a [[Renacore/Security and Zero Trust|read-only edge connector]] that *is* its go-to-market, keeps a [[Autonomous Agents|human in the loop]] so a safety-critical buyer can trust it, and sells it Qatar-first where [[The OT Intelligence Layer|privileged data access]] is the real moat. --- ### Related - [[The OT Intelligence Layer]] - [[Industrial AI MOC]] - [[Predictive Maintenance in O&G]] - [[The Age of Vertical Models]] - [[AI Eats Services Not Software]] - [[Defensibility Principles MOC]] - [[Selling AI MOC]] - [[Natural Gas Value Chain]] - [[History of Qatar]] Tags: #industrial-ai #predictive-maintenance #ot-security #company Links: [[The OT Intelligence Layer]] · [[Industrial AI MOC]] · [[Investing System MoC]]