strolley

AI / Software / Cloud / Serverless / Architecture / Automation

Engineering what's next.

Strolley helps organisations design, build and modernise intelligent technology systems across AI, software, cloud and serverless infrastructure.

Positioning

Technology rarely fails because organisations lack tools.

It fails when architecture, systems and business problems are treated separately.

Strolley brings artificial intelligence, software engineering and cloud infrastructure into one technical conversation.

Problem first. Architecture next. Engineering after that.

Engineering judgement

Start with the problem.

Then choose the technology.

Strolley doesn't begin with a product, platform or fashionable technology. We understand what needs to change, design the architecture around it and engineer the solution using the technologies that make sense.

01

Problem

02

Understand

03

Architect

04

Engineer

05

Operate

06

Improve

Convergence

AI isn't a separate system anymore.

Modern applications increasingly combine software, cloud infrastructure, data, APIs, automation and artificial intelligence.

Strolley designs these capabilities as one architecture rather than treating AI as an isolated add-on.

AI
APIs
Applications
Events
Cloud
Data
Automation
Software

ARCHITECTURE

One intelligent system

Serverless architecture

Infrastructure that responds to demand.

Serverless and managed cloud architectures allow systems to scale without requiring organisations to manage unnecessary infrastructure.

Event-driven

Systems respond to events rather than relying on tightly coupled processes.

Elastic

Infrastructure grows and contracts with demand.

Managed

Reduce unnecessary operational burden through managed services.

Automated

Infrastructure and deployment become repeatable engineering processes.

Serverless where it makes sense. Containers where they make sense. Architecture before ideology.

How Strolley works

From question to production.

01

Discover

Understand the organisation, systems, constraints and desired outcome.

02

Architect

Design the system, select technologies and establish the engineering approach.

03

Build

Implement the solution through iterative engineering.

04

Evolve

Measure, optimise and extend the system as requirements change.

Selected technologies

Technologies we work with.

Cloud

AWSCloud-native servicesServerlessContainers

Infrastructure

TerraformInfrastructure as CodeCI/CD

Software

JavaPythonREST APIsEventsMicroservices

AI

LLMsRAGAI agentsMCPKnowledge systems

Architecture

Distributed systemsAPI architectureServerless architecture

Operations

ObservabilityMonitoringLoggingAutomated deployment

Problems we solve

When technology becomes the constraint.

Our systems don't scale anymore.

Architecture review, cloud modernisation and platform engineering.

We know AI could automate this, but we don't know how.

Workflow analysis, AI architecture and implementation.

Our teams spend too much time doing this manually.

Automation, integration and intelligent workflows.

Our systems don't talk to each other.

API development and integration architecture.

We're moving to the cloud and don't want to recreate our old architecture there.

Cloud-native and serverless architecture.

We need senior technical direction before we build.

Solution architecture and technical advisory.

Our prototype works. Now it needs to become a real product.

Production architecture, software engineering and platform engineering.

Technical advisory

Senior technical thinking, when you need it.

Not every organisation needs another development team. Sometimes the challenge is deciding what should be built, how it should work and which technology decisions will matter three years from now.

Strolley provides independent technical advisory across architecture, cloud, software, AI and technology strategy.

Discuss a technical challenge

Start

Bring us the difficult problem.

Tell us what you're building, changing or trying to understand.

Start a conversation