Under the Hood

Key Technologies

Four pillars of AI architecture that make QONG the most advanced engineering documentation platform for the Oil & Gas sector.

Architecture

Four Technology
Pillars

👁️

Computer Vision for P&ID

Symbol detection, OCR for extracting tag numbers and texts, graph extraction for pipelines, nodes & equipment digitalization of drawings. Every line, valve, instrument and connection is captured with precision.

Symbol Detection OCR Graph Extraction
🧬

EKG, SLMs, API, Native Architecture

Convert all extraction into structural engineering data, auto-create documents using SLM, existing API adoption and cloud deployment for EPCs. The knowledge graph links all extracted data intelligently.

EKG SLMs Cloud API
⚖️

Rule & Standard Engine

Encoder engineering rules (ISA, IEC, API, IECEX), validate class to safety ensuring compliance across all domains of process. Every generated document adheres to industry standards automatically.

ISA IEC API IECEX
🔮

Gen-AI, Digital Twin Layer

Auto-generate documents and structured output for integrating simulation and real-time digital twin when drawings are dynamically uploaded. The living plant model that updates in real-time.

Gen-AI Digital Twin Real-Time
Timeline

QONG
Roadmap

Our phased journey from MVP to global scale — building the world's most intelligent engineering platform for industrial plants.

June 2026

MVP

Valve List, Instrument Index, Instrument Datasheet — the core documentation set delivered from P&ID.

July 2026

Pilots

Alpha pilots testing and teaching the model with real-world EPC projects and industry data.

July 2027

Fledge

Product developed at steady state. Cause & Effect, Control Narrative, Equipment List, Line List, Manuals, Cable Schedule, Junction Box Schedule added.

Oct 2027

GTM

Go-to-Market: direct EPCS through Vendors/Customers with full product offering.

Dec 2028

Scale

Global scaling with enterprise contracts, cloud expansion, and new sector verticals.

Competitive Edge

QONG vs The Market

Feature QONG Hexagon AVEVA
P&I Extraction (AI) ✔ ◑ ◑
Scanned PDF Support ✔ ◑ ✘
Instrument Index Gen ✔ ✘ ◑
Control Logic Narrative ✔ ✘ ✘
Datasheet Automation ✔ ◑ ✘
Multidisciplinary Eng. ✔ ◑ ◑
Digital Twin Output ✔ ◑ ✘
End-to-End Automation ✔ ✘ ✘
✔ Full Support ◑ Partial ✘ Not Available
Market Timing

Why Now?

Digital Wave

The AI in Oil & Gas market is already USD ~$7.64B in 2025 and is expected to grow to USD ~$25.24B by 2034. AI spending in O&G is growing at a CAGR of ~13%.

Delivery & Skill Shortage

Projects projected 2–3 years get delayed due to high document iterations and skill shortage — leading EPCs to lose competitive projects and revenue.

Future for EPC

EPC demands fast productivity. AI integration is the future for EPCs in preparing documents and new cloud deployments — QONG is that future, today.