Integrated engineering / 01

From difficult questions to dependable systems.

EBAT brings research, controls, software and field engineering into one accountable team. We turn operating constraints into technology that can be tested, deployed and maintained.

Connected control racks supporting a complex industrial systems stack
01Input
02Model
03Build
04Proof

System state / verified

Engineering disciplines

One team across the complete technology stack.

Our disciplines are organized around the system outcome, not departmental handoffs. Each engagement combines the right depth of physical, digital and operational expertise.

CAP-01

Systems engineering

Translate complex requirements into architectures with clear interfaces, measurable risks and an executable validation path.

  • Requirements and interface control
  • Architecture and trade studies
  • Verification planning
CAP-02

Automation and controls

Build deterministic control layers that connect equipment, operators and plant systems without obscuring how decisions are made.

  • Motion and process control
  • Industrial connectivity
  • Safety and interlocks
CAP-03

Data and intelligence

Turn machine signals into trusted operational context through observable pipelines, interpretable models and useful interfaces.

  • Edge data architecture
  • Predictive analytics
  • Operator decision support
CAP-04

Lifecycle services

Protect performance after commissioning with diagnostics, structured knowledge transfer and a practical improvement backlog.

  • Field commissioning
  • Reliability engineering
  • Training and sustainment
Delivery chain

Evidence at every engineering decision.

A gated path reduces uncertainty before it reaches operations. Teams can see what has been learned, what remains open and what qualifies the next step.

  1. 01

    Discover

    Observe the process, map constraints and define the outcome in operational language.

  2. 02

    Architect

    Compare solution paths, expose interfaces and retire the highest technical risks first.

  3. 03

    Prototype

    Create representative hardware and software that answers the critical unknowns.

  4. 04

    Validate

    Test performance, failure behavior, security and maintainability against agreed criteria.

  5. 05

    Deploy

    Commission in the field, transfer knowledge and measure real operating results.

Ways of working

An engagement model matched to the problem.

Some challenges need a focused technical answer. Others need a multidisciplinary program or a long-running engineering partner. Scope and governance adapt without lowering rigor.

MODEL / A

Embedded team

Specialists join your delivery organization and work inside established technical governance.

Best suited to
Capability gaps and critical workstreams
Working cadence
Integrated weekly delivery
MODEL / B

Outcome program

EBAT owns a defined result from architecture through field acceptance with transparent gates.

Best suited to
New systems and modernization
Working cadence
Milestone-led execution
MODEL / C

Technical advisory

Senior engineers test assumptions, diagnose risk and shape an independent action plan.

Best suited to
Decisions with high consequence
Working cadence
Focused review cycles
Operational assurance

Designed for the day after handover.

A system is successful only when operators can understand it, maintain it and trust its response under pressure.

Interoperable by design

Explicit interfaces and open protocols prevent unnecessary dependence on a single component or supplier.

Observable in operation

Health signals, decision logs and useful alarms make performance legible to the people responsible for it.

Maintainable in the field

Documentation, spares strategy and diagnostic workflows are developed with the system, not after it.

Typical program controls

Context-setAvailability objective

Defined jointly for each program and operating environment

Boundary-setControl response objective

Specified and validated at the relevant system boundary

Evidence-ledRequirement assurance

Critical requirements connect to planned acceptance evidence

Start with the constraint

Bring us the requirement that does not fit the standard answer.

We will frame the technical decision, identify the first evidence needed and define a responsible path forward.

Start a technical conversation