Konnect AI — Predictive Scoring and Knowledge Graph for EPC
AI agents with industrial context: risk scoring, cost forecasting, and anomaly detection powered by the Knowledge Graph.
Raw Data Pipeline
Bronze → Silver → Gold
The AI starts where the data starts. We ingest the chaos of reality — AVEVA, SAP, Hexagon, Primavera — through the Medallion Architecture. Raw signals are validated, deduplicated, and promoted through Bronze, Silver, and Gold tiers into curated, query-optimized truth.
Medallion Architecture →Knowledge Relationships
Data as triplets: Subject → Predicate → Object
"Pump-101 feeds Tank-B through Line Number 101-LPG-0079" is not a row — it's a relationship the system understands. 1.2M+ triplets of linked engineering data enable contextual queries, topology traversal, and relationship discovery that flat databases cannot match.
Knowledge Graph →Vector Embeddings
Continuous intelligence for every node
Every node in the Knowledge Graph receives a continuous vector embedding — a mathematical fingerprint that captures its context, relationships, and behaviour patterns. Similarity search, anomaly detection, and clustering algorithms operate on 52,000+ engineering entities across 384 dimensions.
Your Digital Engineering Team
Domain expertise. Industry codes. Clear instructions.
The intelligence needs a persona. We create agents with real engineering domain knowledge — piping codes, project controls, compliance standards. Each agent has a clear job description, specific skills, and instructions for how to act on the data.
Agent Builder →Piping Engineer Agent
Lead Process — Piping & MechanicalReviews every MOC submission against ASME B31.3 piping codes. Cross-references affected P&ID tags, traces downstream impact on connected equipment, and flags non-compliant changes for lead engineer review.
Agent Work. Human Decisions.
Every action has a hold point for its human companion
Agents attend MOC meetings, cross-reference piping codes, trace downstream impacts, and draft reports — but they never act alone. Every consequential action reaches a hold point where the human companion reviews, approves, or rejects. The AI does the homework. The human signs off.
MOC-042 — Piping Re-Route Review
Piping Engineer Agent attended MOC meeting. Cross-referenced 14 P&ID tags against ASME B31.3. Traced downstream impact on 3 connected systems.
Schedule Drift Alert — Critical Path
Planning Agent detected float erosion on 4 critical activities. Monte Carlo simulation shows 23% delay probability if not addressed.
Compliance Check — Vessel Spec Rev. C
Project Engineer Agent auto-validated against ISO 9001 and API 650. No non-conformances found. Report archived to Gold storage.
Frequently Asked Questions
What is Konnect AI?
Konnect AI is the intelligence layer of the Konnect xD platform. It runs AI agents, knowledge graph queries, and predictive scoring models against unified engineering data to detect risks, forecast costs, and score schedule health — continuously, not on request.
How does the Knowledge Graph improve AI accuracy?
The Knowledge Graph stores 1.2M+ engineering relationships as triplets (subject-predicate-object). AI agents query this graph for contextual answers grounded in real project data, preventing hallucination and ensuring every recommendation traces to verified sources.
What can AI agents do on Konnect xD?
AI agents monitor change events, draft impact reports, validate compliance against standards (ASME, ISO, API), forecast schedule delays, and surface anomalies. They operate within guardrails — every action requires human approval before execution.
Predict, Don't React
Join the leaders building the future of industrial project execution.