Technologies
Platforms an operating company actually runs.
Cloud, enterprise systems, cybersecurity, marketing technology, and a studio for graphics, video, and animation. Application engineering sits underneath that work.
Cloud platforms
The environments operating companies run on, from a single region to a hybrid estate.
Amazon Web Services
Compute, data, networking, and managed services across an AWS estate.
Microsoft Azure
Cloud hosting, identity, and data for organizations already on Microsoft.
Google Cloud
Analytics, application hosting, and data platforms on Google Cloud.
IBM Cloud
Workloads that stay close to IBM systems and regulated environments.
Oracle Cloud
Infrastructure and applications for Oracle-centred operations.
Hybrid and private cloud
Work that has to stay split between a data centre and a public cloud.
Enterprise systems
The systems of record and the process layer that sits on top of them.
IBM BPM
Business process management on IBM Business Automation, including workflow and case work.
IBM Business Automation
Process, decisions, and content across an IBM automation estate.
SAP
Process extensions, integrations, and reporting around SAP.
Salesforce
Sales, service, and custom objects on the Salesforce platform.
Microsoft Dynamics 365
CRM and finance operations inside the Microsoft estate.
ServiceNow
IT service, workflows, and internal request platforms.
Oracle
Applications and data that already live on Oracle.
SharePoint and Microsoft 365
Intranets, document control, and the tools staff already open every day.
Cybersecurity
Identity, detection, edge protection, and the reviews a larger buyer expects.
Security operations
Monitoring, alerting, and incident handling across the estate.
Identity and access
Single sign-on, privileged access, and least-privilege reviews.
Microsoft Defender
Endpoint, identity, and cloud protection inside Microsoft.
Microsoft Sentinel
Security information and event management on Azure.
AWS security
IAM, WAF, GuardDuty, and account structure on Amazon Web Services.
Cloudflare
DNS, web application firewall, and edge protection.
Vulnerability management
Scanning, patch priority, and retesting after a fix.
Penetration testing
Application and infrastructure tests with a written finding list.
Zero trust
Access that assumes the network is not a safe boundary.
Control programs
Evidence and reviews for ISO 27001 and SOC 2 programs.
Marketing and revenue systems
The platforms that run pipeline, campaigns, and the handoff from marketing to sales.
GoHighLevel
Funnels, CRM, pipelines, calendars, and automation in one operating system.
HubSpot
Inbound, CRM, and marketing automation for a sales team.
Salesforce Marketing Cloud
Journeys and audience programs on top of Salesforce.
Marketo
Enterprise lead management and nurture programs.
Klaviyo
Lifecycle email and SMS for commerce brands.
ActiveCampaign
Automation for smaller revenue teams that still need a real CRM.
Google Ads
Search, Performance Max, and the measurement behind the spend.
Meta and LinkedIn ads
Paid social for demand generation and account-based programs.
Search and content
Technical SEO, landing systems, and the content operation around them.
Analytics
GA4, Looker Studio, and the events a revenue report actually needs.
Creative, video, and animation
Brand, campaign, and product visuals produced with the same delivery discipline as the software.
Brand and identity
Marks, systems, and the rules a company uses across every channel.
Graphic design
Campaigns, sales material, presentations, and digital layouts.
Adobe Creative Cloud
Photoshop, Illustrator, and InDesign for production work.
Figma
Product interface, design systems, and prototypes engineers can build from.
Video production
Explainers, product films, interviews, and campaign edits.
Premiere Pro
Editorial for long-form and campaign video.
After Effects
Motion graphics, titles, and compositing.
Cinema 4D
3D scenes, product shots, and title sequences.
2D and 3D animation
Explainers, UI motion, and animated brand films.
Campaign creative
The stills, cuts, and variants a media plan needs each month.
Data, analytics, and AI
The warehouse, the reports, and the models applied to a named business task.
Snowflake
A shared warehouse for finance, product, and marketing data.
Databricks
Lakehouse workloads, pipelines, and data science.
Microsoft Fabric
Analytics inside the Microsoft data estate.
Power BI
Operational and executive reporting for Microsoft shops.
Tableau
Governed dashboards for teams that already standardized on it.
Azure OpenAI
Model features inside an Azure tenancy and its compliance boundary.
Amazon Bedrock
Model access on AWS without standing up a separate AI vendor.
OpenAI
Assistants, document workflows, and agents via API.
Claude
Long-document and assistant work on Anthropic models.
AI voice
Voice agents for reception, qualification, and follow-up.
Integration
How the systems above actually talk to each other.
MuleSoft
API-led integration across a large application estate.
IBM App Connect
Flows between IBM systems and the rest of the business.
Boomi
Integration for companies that standardized on Boomi.
Apache Kafka
Event streams between operational systems.
REST and GraphQL
The interfaces products and partners actually call.
EDI
Partner document exchange for supply chain and finance.
Digital experience and commerce
Customer-facing sites and stores, including the enterprise platforms in front of them.
Adobe Experience Manager
Enterprise content management for multi-brand, multi-region sites.
Sitecore
Experience platforms for organizations already on Sitecore.
Contentful
Headless content for product and marketing teams.
Next.js
Marketing sites and web applications, including static delivery.
Shopify Plus
High-volume commerce, custom checkout, and multi-store setups.
Adobe Commerce
Larger catalogs, multi-store, and Magento migrations.
WordPress
Corporate publishing where the editor has to stay familiar.
Webflow
Campaign sites with a visual editor and clean output.
Application engineering
The languages and frameworks underneath the platforms. They are how we build, not the whole practice.
Java
Services and integrations in enterprise estates that already run on Java.
.NET
Line-of-business systems on the Microsoft stack.
Node.js
APIs and services next to JavaScript products.
TypeScript
Typed application code for safer change over time.
Python
Data, automation, and AI services.
React
Application interfaces and design-system implementations.
PHP and Laravel
Business portals and integrations where PHP is already the house standard.
Vue.js
When the existing product is already on Vue.
Mobile
Store releases that share identity, data, and process with the rest of the estate.
iOS
App Store releases, signing, and device testing.
Android
Play Store releases across a wide device range.
React Native
One codebase for both stores, close to the web stack.
Flutter
Cross-platform apps with a consistent interface.
Swift
Native iOS where a shared framework is the wrong fit.
Kotlin
Native Android for platform features a shared framework does not cover.
Platform engineering
How releases, environments, and observability stay in place after the project team leaves.
Kubernetes
Container platforms for services that have to scale and recover.
Docker
Repeatable application environments.
Terraform
Infrastructure written down, reviewed, and reapplied.
Azure DevOps
Boards, pipelines, and releases for Microsoft delivery teams.
GitHub Actions
Build and deploy pipelines tied to the repository.
Datadog
Service health, logs, and the alerts an on-call rotation uses.
Nginx
Web server, TLS, and reverse proxy configuration.
Ubuntu
Server build, hardening, and day-to-day care.
Data stores
The database is chosen for the system it serves, including the ones already in production.
SQL Server
The operational database for Microsoft line-of-business systems.
Oracle Database
Systems of record that are not moving off Oracle.
PostgreSQL
Relational data for products and reporting.
MySQL
The usual store for PHP, WordPress, and commerce platforms.
MongoDB
Document data where the shape changes often.
Redis
Caching, queues, and short-lived session data.
Elasticsearch
Search and log analysis at volume.