Platform Overview

Beyond simulation.
A decision engineering platform.

Wenberg is an advanced engineering software platform that transforms how complex systems are understood, modelled, and optimised. We operate at the intersection of engineering, software, and real-world systems, combining mathematics, physics, and data into interactive, decision-driven environments.

Wenberg enables users to move beyond static calculations and fragmented tools. Engineers, operators, and decision-makers gain the ability to understand system behaviour, identify inefficiencies, evaluate scenarios before implementation, and make faster, more confident decisions.

Deployed across 14 industrial sites

Platform Type

Decision Engineering

Wenberg is not a monitoring tool and not a traditional calculator. It is a decision engineering platform that turns complexity into clear, actionable insight.

Modelling Engine

Physics-Based Modelling

Systems modelled from first principles: mathematics and physics that reflect real-world behaviour, not approximations or historical curve fits.

What It Replaces

Beyond Spreadsheets

Wenberg brings engineering out of spreadsheets and fragmented tools into interactive, real-world applications connected to live system data.

Intelligence Layer

Equations + Data + Systems

Connects equations, operational data, and physical systems into a unified intelligence layer, enabling confident decisions before and during operation.

002

Integration Stack

Three layers. One system.

Wenberg converges artificial intelligence, cloud infrastructure, and IoT orchestration into a single coherent decision engine. Each layer is independently scalable. Together, they are unified.

NODE: WB-INTEGRATION-ENGINE · Status: NOMINAL

LAYER DIAGNOSTIC UTILITY

--

LAYER_01 / AI

AI

ARTIFICIAL_INTELLIGENCE

Multi-model inference pipeline running continuously across edge and cloud. Anomaly detection, predictive maintenance, real-time decisions.

INFERENCE_SPEED94%

MODEL_ACCURACY94.6%

EDGE_COVERAGE87%

Multi-model orchestration (Transformer + GNN)
Real-time inference at edge nodes
Continuous learning from operational feedback
Contextual decision graphs · confidence scoring
Automated model retraining and versioning

LAYER_02 / CLOUD

CLD

CLOUD_INFRASTRUCTURE

Hybrid multi-cloud backbone for industrial resilience. Compute scales with demand. State distributed across regions. Updates propagate in seconds.

UPTIME_SLA99.97%

THROUGHPUT2.4M/s

REGION_COVERAGE91%

Hybrid multi-cloud topology (AWS/Azure/GCP)
Kubernetes orchestration with auto-healing
Auto-scaling stateless compute pods
Event-driven architecture (Kafka/Redis Streams)
Sovereign cloud deployment support

LAYER_03 / IoT

IoT

IOT_ORCHESTRATION

Edge-to-cloud device mesh handling millions of data points per second. Unified protocol translation, digital twin sync, deterministic command execution.

EDGE_LATENCY47ms P99

DEVICE_SYNC99.4%

PROTOCOL_COV96%

Protocol abstraction and auto-translation
Digital twin state synchronization
Edge compute distribution and load balancing
Deterministic actuation with fallback chains
Device shadow management · offline buffering

SYS // LAYERS OPERATE INDEPENDENTLY · CONVERGE THROUGH WENBERG DECISION ENGINE

LOG // Integration stack status: ALL_LAYERS_NOMINAL · Rev 4D · wenberg.uk

AWAITING INPUT_

003

System Metrics

Numbers from production. Not projections.

Edge Latency

0ms

P99 decision-to-actuation

-12ms from baseline

Uptime SLA

0%

Annual availability

Zero unplanned outages Q4

Data Points/sec

0M

Processed throughput

+800K from Q3

Prediction Accuracy

0%

Anomaly detection rate

+3.2% after retraining

004

Intelligence Loop

Closed-loop intelligence.

Every cycle refines the model. Every decision improves the next. The system learns from the physical world it governs, continuously and autonomously, with optional human oversight at every stage.

01

SENSE

Sensors, actuators, and devices generate continuous high-frequency data streams

02

INGEST

Normalize, validate, compress, and route data through the edge pipeline

03

ANALYZE

AI models detect patterns, anomalies, and predict system behavior trajectories

04

DECIDE

Decision engine selects optimal action with confidence scoring and risk assessment

05

ACT

Commands execute on physical systems with deterministic timing and fallback chains

Continuous feedback. Every cycle improves the model. Autonomous optimization.

Cycle Time

~120ms avg

Full sense-to-act loop

Model Retrain

Every 6 hours

Automated with drift detection

Decision Autonomy

Level 4 / 5

Human-in-loop optional

005

Design & UX

Complex systems
made usable.

Engineering systems are inherently complex.
Understanding them should not be.

Wenberg interfaces are designed to expose system behavior clearly: relationships, dependencies, and outcomes. This is not visual design. It is system translation.

UI and UX are developed in collaboration with MANGOOTRIBE, ensuring that engineering logic becomes structured, intuitive, and usable. The result is not a dashboard. It is a system you can understand and control.

Design is not decoration.
It is how systems become usable.

Human-Centered WCAG 2.1 AA

01

Functional Minimalism

Every pixel serves a purpose. Elements are removed until the interface breaks, then the last removal is undone. Nothing more.

02

Progressive Disclosure

Show what matters first. Reveal depth on demand. Operators see the overview by default; engineers drill down when needed.

03

Spatial Consistency

Grid-locked layouts with mathematical rhythm. If something moves, it moves along the grid. No surprises. No exceptions.

04

System Aesthetics

The interface must feel like the system it controls. Technical precision in every margin, weight, and spacing decision.

Design Intelligence Partner

Design partner for interface intelligence. Mangoo Tribe translates complex engineering systems into clear, structured, decision-ready interfaces.

Designed with Mangoo Tribe · Engineered by Wenberg

006

What We Build

We write code for things that
move, heat, flow, and break.

From factory floors to simulation screens. Software that touches the physical world.

01

Industrial Software

PLC programming, SCADA integration, real-time control systems. We write the code that runs inside machines, not above them.

02

IoT & Edge

Device firmware, protocol bridges, edge gateways. Connecting sensors to decisions with deterministic timing.

03

Simulation & Modelling

Physics-based digital twins, scenario testing, process optimisation. Understand the system before you touch it.

04

AI & Data

Anomaly detection, predictive maintenance, demand forecasting. Models trained on real operational data, not benchmarks.

05

UI/UX & Design

Operator dashboards, engineering tools, complex data visualisation. Making technical systems readable by humans.

06

Education & Training

Interactive simulations, gamified engineering tools, onboarding platforms. Teaching through doing.

007

Where It Runs

14 sites. 6 industries.
One engineering approach.

We don't sell licences. We solve engineering problems.

01 Energy

02 Manufacturing

03 Maritime

04 Infrastructure

05 Defence

06 Research

Deployments

14

Industries

6

Countries

8+

Stockholm · London · Remote · On-site

008

System Specifications

Full technical reference.

Complete technical reference. All figures verified at release.

Rev 4D.2026 — 2026.04

Platform Type	Engineering Intelligence Platform
Architecture	Distributed Cloud-Native Microservices
AI Engine	Multi-Model Inference Pipeline — Transformer + Graph Neural Networks + Gradient Boosted Trees
Cloud Infra	Hybrid Multi-Cloud · Kubernetes (K8s) · Horizontal Pod Autoscaling · Service Mesh
Messaging	Apache Kafka · Redis Streams · MQTT Broker Cluster
IoT Protocols	MQTT 5.0 · CoAP · OPC-UA · Modbus TCP/RTU · REST · gRPC · AMQP
Edge Latency	<50ms decision-to-actuation (P99)
Throughput	2.4M data points/sec sustained · 8M burst
Uptime SLA	99.97% annual availability
Security	Zero-Trust Architecture · TLS 1.3 · AES-256 · RBAC · mTLS Service Identity
Data Model	Time-Series (TimescaleDB) + Graph (Neo4j) · Edge-First Eventual Consistency
Observability	OpenTelemetry · Prometheus · Grafana · Distributed Tracing · Structured Logging
Design System	Interface Intelligence — Design partner: MANGOOTRIBE · WCAG 2.1 AA compliant
Compliance	ISO 27001 · IEC 62443 · SOC 2 Type II · GDPR · EU Data Act
Deployment	On-Premise · Private Cloud · Sovereign Cloud · Hybrid Multi-Cloud
API	RESTful + GraphQL + gRPC · OpenAPI 3.1 Spec · SDK (Python, Go, Rust)

Beyond simulation. A decision engineering platform.