Technology Consulting & Systems Integration

smart Business and Research Observatory

A new intelligence layer for your enterprise.

sBRO develops and integrates Enterprise Intelligence Systems that unify heterogeneous data, translate it into a common enterprise representation and create the process knowledge foundation for advanced analytics, AI and industrial use cases.

Explore the model

What sBRO is

A technology consulting and systems integrator company.

sBRO works where industrial operations, enterprise systems, advanced engineering and research meet. We integrate complex technology environments and provide the consulting expertise required to turn integrated data into deployable industrial value.

Our role is not to replace the systems that already run your business. It is to connect them, give their data a common meaning and make that knowledge usable across the enterprise.

ManufacturingLogistics

Our main product

Enterprise Intelligence System EIS

We position the EIS as the enterprise's highest layer of data integration and process knowledge: a common intelligence foundation that spans the systems already operating across the company.

Not another system of record. An intelligence layer across them.

ERP, WMS/TMS, MES, SCADA, control systems, field devices, databases, APIs, files and IoT platforms each contain part of the operational picture. EIS integrates across those layers.

The result is a unified and contextualized representation of the enterprise that can support multiple departments, digital twins and future use cases without rebuilding the integration logic for every new project.

EIS core functions

  • Smart ETL and data integration
  • Digital Twins
  • Agnostic cyberphysical systems
  • Abstract and data-driven solutions
  • Enterprise-wide analytics and AI
See how EIS transforms the data →
EISEnterprise intelligence & process knowledge
↕
Resource planningERP · WMS/TMS · planning · business applications
Operations & executionMES · SCADA · historians · operational platforms
Control & physical layerPLC · equipment · sensors · actuators · IoT

Illustrative view: EIS spans the existing technology landscape and creates a common enterprise-level representation.

How EIS works

One coherent path from raw data to enterprise context.

01
⌁

Integrate any source

Static and non-static data from files, databases, APIs, enterprise systems, industrial platforms, machines, sensors and IoT.

→
02
⇢

Unify as streaming data

Convert heterogeneous inputs into a single streaming-oriented representation so information can be handled consistently.

→
03
✓

Clean & standardize

Clean, validate, normalize and standardize structures, timestamps, keys and values.

→
04
▦

Organize by domain

Group information according to the company scope, process or organizational domain it represents.

→
05
◇

Abstract the enterprise

Translate the normalized information into a proprietary high-level abstract language developed by sBRO experts.

→
06
◎

Contextualize with digital twins

Assign the resulting information to one or more relevant digital twins, creating reusable process and system context.

The outcome

A reusable enterprise intelligence foundation.

Once EIS is in place, new analytics, AI, optimization, decision-support, simulation and process-improvement use cases can build on the same integrated and contextualized data foundation.

Our innovation model

Mature the foundation first. Configure the use case next.

sBRO deliberately separates reusable technology development from client-specific deployment. This is fundamentally different from treating every industrial use case as a new linear TRL 0-to-10 project.

THE EIS PRODUCT

Stages 1 + 2

Agnostic, robust and smart components are researched, specified, prototyped, digitally de-risked and validated. They are then integrated into the Enterprise Intelligence System, whose architecture, interoperability and performance are developed and tested before client-specific use cases are built.

  • Reusable technological components
  • Validated EIS architecture
  • Interoperability and performance foundation
  • System basis for multiple client use cases
→
CLIENT-SPECIFIC SERVICES

Stage 3

After acquiring the EIS, the client can commission use-case work from sBRO, another technology consulting or systems integration company, or universities and ENESIIs. Stage 3 covers on-site integration, client data transformation, use-case configuration, algorithm and human-in-the-loop work, adaptation, acceptance testing and sustained deployment.

sBROTechnology partnersUniversities / ENESIIs

sBRO hybrid R&D & engineering approach

The complete operating logic

sBRO innovation approach showing Stage 1 components, Stage 2 Enterprise Intelligence System, and Stage 3 client-specific activities

Stage 1 develops and validates reusable components. Stage 2 integrates them into the EIS. Stage 3 applies that mature foundation to the client's environment and use cases.

Why this is different

TRL activities, deliberately reconfigured around a reusable system foundation.

Traditional R&D projects typically mature one client problem progressively from early research to deployment. sBRO separates the maturation of reusable technology from the configuration of each client solution. The TRL labels still describe the nature of the work, but they are not used as a single linear sequence for every new use case.

TYPICAL PROJECT LOGIC

Use case first

Research, architecture, integration and validation are repeatedly developed around each specific client problem.

sBRO LOGIC

Foundation first

Reusable intelligence components and the EIS are matured as a product foundation; client-specific engineering builds on top of that foundation.

Reusable componentsEIS foundationClient use cases

Consulting & systems integration

EIS is the foundation. We can also help build what comes next.

sBRO can deliver Stage 3 services directly or collaborate with the client's preferred technology partners, systems integrators, universities and research institutions.

01

Enterprise integration

On-site integration, connectivity, deployment architecture and interoperability across enterprise and operational systems.

02

Use-case engineering

Translate business and operational challenges into technically feasible configurations, workflows and intelligent applications.

03

AI, analytics & optimization

Develop predictive, diagnostic, prescriptive and decision-support capabilities on top of the EIS foundation.

04

Industrial validation

Adapt solutions to site characteristics, test against operational requirements and support acceptance and sustained use.

05

Research & technology transfer

Connect complex industrial challenges with leading experts, universities and ENESIIs when new knowledge or technology is required.

06

Partner-enabled delivery

Enable third-party technology consultants and integrators to develop client use cases on a common, structured enterprise intelligence base.

An open innovation ecosystem

The right expertise can come from anywhere. The enterprise foundation stays coherent.

Industrial companyOperations, data and business challenges
sBRO + EISIntegration, intelligence foundation and engineering
Leading expertsTechnology partnersUniversities & ENESIIs

Industries we serve

Built for complex, data-intensive operations.

Our experience is concentrated in environments where enterprise information, physical systems and operational decisions must work together.

01

Manufacturing

Production systems, quality, bottlenecks, maintenance, resource efficiency and human-machine environments.

02

Logistics

Warehouses, ports, terminals, distribution, freight, transport networks, last-mile operations, fleet and asset utilization.

Why sBRO

Integration depth. Research capability. Industrial execution.

A product foundation and consulting model designed for organizations that need more than isolated point solutions.

Cross-stack systems integration

Connect enterprise, operational, control and field information without replacing the systems already in place.

Reusable enterprise intelligence

Build new use cases on a common semantic and digital-twin foundation instead of reintegrating data from scratch.

Award-recognized founders

Leadership experience recognized nationally and internationally across AI, machine learning, continuous improvement and engineering.

Start with the integration problem

What would your company do if all of its data shared the same context?

Talk to sBRO about your current systems, data sources and operational priorities. We can assess where EIS fits and what consulting or integration work is required next.