From cloud platforms and data pipelines to enterprise applications, security and quality engineering — the stacks our consultants and candidates work in every day.
We build AI systems that survive contact with real enterprise data — grounded retrieval, measurable accuracy and guardrails your risk team can sign off on.
Where we focus
Retrieval-augmented assistants grounded in governed enterprise knowledge
Evaluation harnesses so model quality is measured, not assumed
Responsible-AI guardrails, prompt safety and human-in-the-loop review
Elevations we have driven
Cut manual document review effort by more than half on knowledge-heavy workflows
Moved proof-of-concept assistants into monitored production in under a quarter
LLM application frameworks
RAG and vector search
MLOps pipelines
Model evaluation and guardrails
Landing zones that scale and stay affordable
Cloud & Infrastructure
Multi-cloud platform engineering with infrastructure as code at the centre — repeatable environments, predictable spend and no snowflake servers.
Where we focus
Well-architected landing zones on AWS, Azure and Google Cloud
Kubernetes platforms with autoscaling, policy and cost visibility
Migration and modernisation waves planned around business risk
Elevations we have driven
Double-digit percentage cloud cost reduction through rightsizing and scheduling
Environment provisioning cut from weeks to hours with Terraform modules
AWS
Microsoft Azure
Google Cloud
Kubernetes
Terraform
Trusted pipelines, decisions people act on
Data Engineering & Analytics
Lakehouse and warehouse builds with contract-tested pipelines, documented lineage and dashboards leadership actually opens on Monday morning.
Where we focus
Streaming and batch ingestion into Snowflake and Databricks lakehouses
dbt modelling with tests, lineage and business-owned semantic layers
Self-service analytics adoption, not another unused dashboard
Elevations we have driven
Reporting cycles compressed from overnight batches to near real time
Data quality incidents reduced through automated freshness and test gates
Spark
Databricks
Snowflake
dbt
Airflow
Power BI
Tableau
Deep bench across the languages enterprises run on
Programming Languages
Our consultants and candidate network span the polyglot reality of enterprise estates — legacy modernisation on one side, greenfield services on the other.
Where we focus
Java and .NET modernisation of long-lived core systems
Python and Go services for data, automation and platform work
TypeScript-first engineering standards across front and back end
Elevations we have driven
Monolith-to-service refactors delivered without customer-facing downtime
Shared coding standards and reviews that lifted defect escape rates
Java
Python
C#/.NET
JavaScript & TypeScript
Go
Scala
Products that feel fast on every device
Application & Mobile Engineering
Accessible, performance-budgeted web and mobile products built with design systems so teams ship consistently long after we hand over.
Where we focus
React and Angular front ends with reusable design systems
Native and React Native mobile delivery with store release pipelines
Core Web Vitals and WCAG treated as delivery requirements
Elevations we have driven
Page load times materially improved through bundle and image budgets
Release cadence moved from quarterly drops to fortnightly increments
React
Angular
Node.js
Spring Boot
iOS & Android
React Native
Ship often, sleep well
DevOps, SRE & Observability
Delivery pipelines, error budgets and observability that turn releases into routine events instead of weekend operations.
Where we focus
CI/CD with automated quality, security and rollback gates
SLOs, error budgets and on-call practices that reduce noise
Unified logging, metrics and tracing across services
Elevations we have driven
Deployment frequency increased while change-failure rate dropped
Mean time to detect incidents cut sharply with actionable alerting
CI/CD pipelines
Docker
Prometheus & Grafana
Datadog
Splunk
Right store for the right workload
Databases & Data Stores
Relational, document, cache and streaming stores tuned for the access pattern in front of them — with backup, failover and cost all planned up front.
Where we focus
Query and index tuning on Oracle, SQL Server and PostgreSQL estates
Event streaming with Kafka for decoupled, replayable integration
High availability, disaster recovery and retention design
Elevations we have driven
Critical query latency reduced by an order of magnitude after tuning
Zero-data-loss migrations executed inside agreed maintenance windows
PostgreSQL
Oracle
SQL Server
MongoDB
Redis
Kafka
Platforms configured around how you actually work
Enterprise Applications
SAP, Salesforce, ServiceNow, Workday and Dynamics work delivered with clean integration patterns and adoption planning, not just configuration tickets.
Where we focus
Implementation, rollout and support across core enterprise platforms
Integration layers that keep customisation out of the core
Change management and enablement so adoption sticks
Elevations we have driven
Manual back-office steps eliminated through workflow automation
Support backlogs cleared with stabilisation squads post go-live
SAP
Salesforce
ServiceNow
Workday
Dynamics 365
Security designed in, not bolted on
Cybersecurity & Identity
Zero-trust identity, hardened pipelines and continuous posture management aligned to the frameworks your auditors already use.
Where we focus
IAM, SSO and least-privilege access models
Zero-trust segmentation and secure-by-default architecture
Vulnerability and cloud posture management with real remediation SLAs
Elevations we have driven
Audit findings closed ahead of deadline with repeatable evidence
Critical vulnerability remediation windows shortened significantly
IAM and SSO
Zero-trust architecture
Vulnerability management
Cloud security posture
Confidence at the speed of release
Quality Engineering & Testing
Automation-first quality strategy — risk-based coverage, stable suites and performance and accessibility testing wired into the pipeline.
Where we focus
Test automation frameworks that teams maintain willingly
Performance and load testing tied to real user journeys
API contract testing and accessibility conformance checks
Elevations we have driven
Regression cycles reduced from days to hours through automation
Production defect leakage cut with shift-left quality gates
Test automation frameworks
Performance testing
API testing
Accessibility testing
Technology coverage varies by engagement scope, location, technical requirements and resource availability. Product and platform names referenced on this page are the trademarks of their respective owners.
