Revoleap + AWS

The ambition is yours.
The foundation is ours to build.

AWS is our first choice for enterprise cloud foundations. We bring the architecture, migration discipline and operational depth to make it work for your business.

For the builders who want to go further.

Platform possibility.
Revoleap craft.
A foundation that carries the business.

Accounts, identity and networks, designed together.

01 / What we build

Deep work.
Across the platform.

We value the breadth of AWS. Our job is to turn that breadth into a clear architecture, a working service and a team ready to own it.

Explore our engineering capabilities.

01Cloud foundations & securityA governed estate that teams can actually use.

Account vending, identity boundaries, network topology, central audit and infrastructure as code. We make ownership and exception handling explicit before scaling the estate.

Control Tower · Organizations · IAM · VPC
02Migration & modernisationMove the business, with a credible way back.

Dependency discovery, migration waves, database replication and rehearsed cutovers. We assess where AWS Transform fits, validate application behavior and retain a tested rollback path.

AWS Transform · MGN · DMS · Migration Hub
03Kubernetes & application platformsGive product teams a repeatable route to production.

EKS platform design, GitOps, workload identity, autoscaling and developer paths. We combine containers, serverless and events around the workload rather than standardising every application onto one runtime.

Amazon EKS · ECR · Lambda · API Gateway
04Data & database engineeringMake data dependable from source to consumer.

Database selection and migration, streaming or batch ingestion, access boundaries and tested recovery. We reconcile data across transitions and tune the serving layer to the business workload.

S3 · Aurora · RDS · DynamoDB · Glue · Redshift
05Generative & agentic AIPut managed models to work in a controlled system.

Retrieval, agent tools, identity and evaluation around a specific task. We engineer the boundaries between model, data and action, with traceability and human approval for consequential decisions.

Amazon Bedrock · AgentCore · Knowledge Bases
06Custom models & AI infrastructureChoose the right place to train, tune and serve.

Containerised model serving, capacity planning and performance testing. We evaluate managed and self-operated paths against model requirements, throughput, unit cost and the team’s operating capability.

EC2 · EKS · SageMaker AI · GPU infrastructure
07Customer experience & integrationConnect conversations to the work behind them.

Contact-center journeys, CRM integrations and operational workflows. We preserve customer context, design human handover and make failures visible to the people responsible for the service.

Amazon Connect · Lambda · EventBridge
08Reliability, security & FinOpsA cloud platform that earns its place every day.

Service objectives, alert routing, recovery exercises and cost allocation. We build operating routines that connect technical health, security findings and spend to accountable service owners.

CloudWatch · OpenTelemetry · GuardDuty · AWS Backup
02 / Engineering blueprints

See the pieces
work together.

Starting architectures for real business needs. We shape the implementation around your systems, constraints and operating team.

Enterprise landing zone

A shared foundation for a distributed business.

For estates with many teams, regions and accounts.

  1. 01 / EstablishOrganizations + Control Tower
  2. 02 / ConnectIdentity + regional networks
  3. 03 / DeliverEKS + application accounts
  4. 04 / RunObservability + recovery

Control points

Account boundaries, policy as code and central audit.

What we leave with you

Account-vending code, network decisions and recovery runbooks.

How we validate it

Rehearse account creation, access changes and regional recovery.

VM estate to EKS

Modernisation with a controlled cutover.

For teams moving a live application estate without losing operational control.

  1. 01 / DiscoverDependencies + migration waves
  2. 02 / BuildEKS + GitOps + workload identity
  3. 03 / MigrateApplications + DMS database paths
  4. 04 / ValidateTraffic shift + rollback

Control points

Data reconciliation, workload permissions and staged traffic.

What we leave with you

Platform code, migration playbooks and service ownership.

How we validate it

Prove workload behavior, rollback and the agreed capacity envelope.

Production AI on AWS

One operating model, more than one model path.

For businesses combining managed AI with custom-model workloads.

  1. 01 / GroundAuthorised data + retrieval
  2. 02 / ReasonBedrock or EC2 / EKS models
  3. 03 / ActAgentCore + scoped business tools
  4. 04 / ImproveEvaluations + traces + cost

Control points

Identity at retrieval and tool boundaries, with approval gates.

What we leave with you

A deployable AI service, test cases and operational dashboards.

How we validate it

Test answer quality, tool execution, failure paths and cost per task.

03 / Engineering with accountability

100 workloads. Seven AWS regions.

A global modernisation engagement delivered by our team, across a 600-VM estate and three continents.

Read the engineering story
01 / Decide

A useful first scope.

The business task, system boundaries and acceptance criteria, agreed together.

02 / Build

Work beside your team.

Visible engineering, reviewed decisions and working increments you can assess.

03 / Transfer

Leave lasting capability.

Code, operating guidance and the knowledge to own what comes next.

Where to start

Let’s start with the work
that matters.

A working conversation about the opportunity, the constraints and a useful first step.