GOSBLO

Engineering · Software · Artificial Intelligence

Complex systems. Clear outcomes.

Technical, analytical and commercial expertise for large-scale engineering and software projects from strategy and design through integration and delivery.

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2012GOSBLO established
End to endStrategy through to delivery
LeanExpertise without unnecessary overhead

About GOSBLO

Technical depth, commercial awareness and practical delivery.

GOSBLO Assurance works with organisations tackling complex software, systems and operational challenges. Our flat structure connects clients directly with experienced technical specialists, keeping communication clear and overheads low.

We also help businesses tailor their use of artificial intelligence and automation to reduce overheads and improve operational efficiency.

What we do

Capability across the full engineering lifecycle.

Focused support can be embedded within an existing team or shaped as an end-to-end solution.

01

Engineered software solutions

Requirements, architecture, design, delivery and through-life support for dependable software systems.

02

Complex systems integration

Open architectures, interfaces, interoperability, validation and verification across software and hardware platforms.

03

Artificial Intelligence

With almost a decade of experience working internally with Amazon at the forefront of AI deployed at scale, we are well equipped to help your business find the right AI solution.

04

Technical leadership

Clear technical direction, team mentoring and stakeholder alignment under cost and schedule pressure.

05

Business improvement

Lean and Six Sigma analysis, automation and workshops that remove friction and improve delivery performance.

06

Commercial delivery

Risk, schedule and earned-value management, customer engagement, business development and tender responses.

How we work

Make the complicated understandable, then make it work.

Modern systems span platforms, organisations and interfaces. Our approach keeps the whole operational outcome in view.

  1. Start with the outcomeAlign technical decisions with the real operational and commercial need.
  2. Design for interoperabilityUse open, evolvable architectures that support innovation and reduce lifecycle cost.
  3. Test the important thingsPut evidence, traceability and risk-based assurance at the centre of delivery.
  4. Improve continuouslyMeasure performance, remove waste and leave teams stronger than we found them.

Selected experience

Experience across demanding, high-consequence environments.

Computer vision & robotics

Amazon

Amazon Fulfillment

Fulfillment & logistics

Amazon

Retail & grocery

Rail & resources

Aurizon

Project Pluto

Aerospace & defence

Boeing

5077 Phase 5A upgrade

Mining technology

Caterpillar

MineStar

Leadership

Paul Ellis

Director and engineering leader with over 20 years experience on large-scale, complex software development and artificial intelligence projects.

Paul brings leadership, technical, business development and improvement experience to the teams he joins, with a record of working across organisational layers and delivering under cost and schedule pressure.

  • Scaled AI solutions
  • Software engineering
  • Systems engineering
  • Risk management
  • Stakeholder engagement
  • Team mentoring
  • Technical customer relationships

Contact

Let’s discuss the problem you need to solve.

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