Q

2.0

๐Ÿ›ข๏ธ  Upstream ยท Midstream ยท Downstream

Your AI Data Team for Oil & Gas.

Working alongside your operations, HSE, and engineering teams.

Six AI agents on a shared semantic layer. Ask. Analyze. Act.

Plain-English requests, routed to reliable execution โ€” across production optimization, predictive maintenance, HSE, and emissions reporting. xAQUA sits on your existing SCADA, historians, and ERP and stores nothing.

20%
Less unplanned downtime
25%
Lower maintenance cost
$500K/hr
Downtime cost โ€” prevented
๐Ÿ›ข๏ธ
Ask Cezu · Oil & Gas
Plain-English in. Reliable execution out.
Wells with declining production and abnormal pump vibration?
๐Ÿ›ข๏ธ
23 wells match. 8 show ESP vibration anomalies plus >15% production decline. Predictive model: 5 high-risk for failure within 14 days. Generate work orders?
Yes โ€” and calculate methane impact for Subpart W reporting
๐Ÿ›ข๏ธ
Work orders queued in CMMS. Subpart W methane: 2.3 metric tons COโ‚‚e avoided by predictive intervention. EPA-format report ready.
The Problem

Your stack is powerful.
But it doesn't work as one system.

An offshore platform alone runs SCADA, historians, MES, ERP, and a dozen vendor systems. Across upstream, midstream, and downstream, that's the textbook Frankenstack โ€” and downtime costs are measured in millions per hour.

๐Ÿ—„๏ธ
SCADA & Historian Sprawl

Multiple SCADA generations, OSIsoft PI, and proprietary historians โ€” none of them speaking the same language.

2/3
Of energy IES platforms are 10+ years old
๐Ÿ“Š
Standards Adoption Gaps

WITSML, PRODML, RESQML, ISA-95 exist โ€” but adoption is uneven. Manual mapping eats engineering time.

30%
Of data budgets spent on maintenance & mapping
โฑ๏ธ
Downtime Costs

Oil producers lose ~$500K/hour. Offshore: $8M/day. 70% of unplanned downtime is preventable.

$38M
Avg. annual upstream loss from unplanned shutdowns
You don't have a oil data system. You have a Frankenstack.
How xAQUA Works for Oil & Gas

Your Data Stays Where It Lives.
The Intelligence Comes to You.

xAQUA connects to your existing oil & gas systems and unifies them through a shared semantic layer โ€” without copying or storing a byte.

YOUR DATA SOURCES xAQUA SEMANTIC LAYER BUSINESS OUTCOMES SCADA & PLC Wellhead ยท pipeline ยท refinery Historians PI ยท Aspen ยท Honeywell ยท Yokogawa Production Volumes ยท pressure ยท flow rates Equipment / IoT ESP ยท pumps ยท vibration ยท acoustic ERP & CMMS SAP ยท Maximo ยท IBM CMMS HSE & Emissions Methane ยท flaring ยท safety events x xAQUA ๐Ÿถ Cezu AI concierge โ€” routes intent to right agent ๐Ÿง  Six AI Data Agents Steward ยท Governance ยท Analyst ยท Engineer ยท Scientist ยท BI ๐Ÿ“š Shared Semantic Layer Unified business definitions, metrics, glossary โšก AI Execution Engine GPT-OSS ยท embeddings ยท query planner ๐Ÿ”’ Governance & Trust PII masking ยท audit trail ยท RBAC ยท lineage Production Output optimization, decline analysis Maintenance Predictive failure, work-order automation HSE Safety event prevention, near-miss analytics Emissions Subpart W, flaring, methane LDAR xAQUA stores nothing โ€” your data stays where it lives. The semantic layer makes it conversational.
Your AI Data Team

Six Agents. One Mission.

Each agent is a full-powered application โ€” not a chatbot. They share one semantic layer, so what one agent learns about your data, every other agent knows.

Six AI Agents. One Mission. Your Oil & Gas Data Team. Each agent is a full-powered application โ€” and they share one semantic layer. ๐Ÿ›ข๏ธ Oil & Gas Shared semantic layer Plain-English in. Reliable execution out. ASK ยท ANALYZE ยท ACT ๐Ÿง  AI Data Steward Your data expert. Ask anything. FOR OIL & GAS โ€ข Unified asset registry across fieldsโ€ข Tag dictionary across SCADA generations ๐Ÿ›ก๏ธ AI Data Governance Quality. Privacy. Trust. FOR OIL & GAS โ€ข OT/IT data quality ยท trust scoresโ€ข HSE & emissions audit lineage ๐Ÿ“Š AI Data Analyst Ask. Prepare. Analyze. Act. FOR OIL & GAS โ€ข Plain-English well & asset queriesโ€ข Production decline / variance analysis ๐Ÿ”ง AI Data Engineer Pipelines from natural language. FOR OIL & GAS โ€ข SCADA ยท historian ยท ERP pipelinesโ€ข Standards mapping (WITSML, PRODML) ๐Ÿงช AI Data Scientist Models, predictions, insight. FOR OIL & GAS โ€ข ESP / pump failure predictionโ€ข Reservoir & yield modeling ๐Ÿ“ˆ AI BI Specialist Dashboards & narratives. FOR OIL & GAS โ€ข Operations & emissions dashboardsโ€ข Board-ready safety + production reports
What You Can Do

Built for Oil & Gas.

Real workflows that oil & gas teams run every day โ€” now conversational, reliable, and fully governed.

โš™๏ธ
Predictive Maintenance

ESP, pump, compressor, and turbine failure prediction. Cut unplanned downtime by 20%+.

๐Ÿ“ˆ
Production Optimization

Decline curve analytics, choke optimization, and well-level performance variance.

๐ŸŒฌ๏ธ
Emissions & Subpart W

Methane LDAR, flaring analytics, and EPA Subpart W reporting on demand.

๐Ÿ›ก๏ธ
HSE & Safety

Near-miss correlation, safety event clustering, and predictive risk indicators.

๐Ÿš›
Pipeline & Logistics

Flow imbalance detection, leak prediction, and tank-farm anomaly alerts.

๐Ÿ›ข๏ธ
Reservoir Insight

Combine seismic, well log, and production data into reservoir intelligence โ€” without moving petabytes.

The Architecture

Sits on Your Stack. Stores Nothing.

xAQUA is the conversational and semantic layer above your existing oil & gas data platforms โ€” your data never leaves your environment.

๐Ÿ‘ค PLAIN-ENGLISH REQUEST "Wells with declining production and abnormal pump vibration" x xAQUA Compound AI Data Platform ยท sits on your stack ยท stores nothing ๐Ÿ—ฃ๏ธ Conversational Layer
Cezu ยท 23-route intent classifier ยท plain-English routing
๐Ÿง  Shared Semantic Layer
Unified business definitions, metrics, glossary across agents
โšก AI Execution Engine
Six AI agents ยท query planner ยท text-to-SQL ยท ML pipelines
๐Ÿ”’ Governance & Trust
PII masking ยท RBAC ยท audit ยท lineage ยท tenant isolation
YOUR EXISTING DATA STACK ยท UNCHANGED ยท UNCOPIED โš™๏ธ SCADA & PLC ABB ยท Honeywell ยท Yokogawa ๐Ÿ“Š Historians OSI PI ยท Aspen ยท Honeywell ๐Ÿญ ERP / CMMS SAP ยท Maximo ยท IBM โ˜๏ธ Cloud Warehouse Snowflake ยท Databricks ยท BigQuery ๐Ÿ“ˆ BI Tools Spotfire ยท Power BI ยท Tableau ๐Ÿ—ƒ๏ธ Data Lakes S3 ยท ADLS ยท GCS ZERO DATA STORED PLAIN-ENGLISH IN
Built for Regulated Workloads

Compliance by Construction.

Every query is governed. Every action leaves an auditable trail. Every piece of data has lineage. Built for how regulators ask, not how vendors describe.

EPA Subpart WOSHA PSMAPI 1173PHMSAWITSML / PRODML / RESQMLISA-95 / ISA-99ESG / TCFDEU CSRD
Measurable Impact

Outcomes That Compound.

Augment your existing teams. Cut cycle time. Replace disconnected tools. Ship reliable AI in production.

20%
Less unplanned downtime
25%
Lower maintenance cost
$500K/hr
Downtime cost prevented
100%
Subpart W audit-ready lineage

Ready to Augment Your Energy Operations?

See how xAQUA's AI Data Team works alongside your SCADA, historians, and ERP โ€” making predictive maintenance, production, and emissions reporting conversational.