AI Native Technology

Engineering stack

Code. Cloud. Data. AI. Platforms. Experience. One engineering capability across the entire technology lifecycle.

We do not only advise on technology. We build with it.

From C, C++, Java and Python to AI agents, Kubernetes, cloud platforms, data architectures, enterprise applications and MarTech ecosystems, engineers work across the stack to architect, develop, integrate, deploy, secure, measure and continuously optimise the systems an enterprise runs on. The stack below is the complete inventory of that hands-on capability, organised by the layer of the enterprise it serves.

Technology is selected to fit the architecture, the security posture, the workload and the economics of the enterprise, never the other way around. Every discipline listed here is one that can be architected, built and operated in production, and the marks shown belong to the technologies themselves.

Two engineers reviewing code together at night

How technology is chosen

The tests every technology decision passes before it enters an enterprise architecture

Architecture first

Technology follows the target architecture and the use case, not a vendor roadmap or a team's habit.

Security and sovereignty

Where data may live, who may reach it and how it is protected are constraints on the choice, not afterthoughts.

Workload economics

Cost per request, per model and per user is modelled before a platform is chosen, and measured after.

Platform independence

Hyperscalers, model providers and enterprise platforms are integrated on merit, with no commercial preference between them.

Languages & Web

The languages and web standards every system is written in, chosen for the platform, the team and the lifetime of the code rather than fashion.

Programming Languages

From systems languages to scripting and query languages, chosen for the platform, the performance envelope and the team that will maintain the code for years.

  • C
  • C++
  • C#
  • Java
  • JavaScript
  • TypeScript
  • Python
  • Go
  • Rust
  • Kotlin
  • Swift
  • Dart
  • PHP
  • Ruby
  • Scala
  • R
  • Objective-C
  • Perl
  • Lua
  • Groovy
  • MATLAB
  • Julia
  • Solidity
  • SQL
  • PL/SQL
  • T-SQL
  • Bash
  • PowerShell

Web Technologies

The open standards of the web: markup, styling, real-time transport, components, progressive apps and WebAssembly for near-native performance in the browser.

  • HTML
  • HTML5
  • CSS
  • CSS3
  • Sass
  • Less
  • XML
  • JSON
  • WebSockets
  • WebRTC
  • Web Components
  • Progressive Web Apps
  • Service Workers
  • WASM
  • WebAssembly

Frontend Engineering

Component frameworks, meta-frameworks and design systems for interfaces that are fast, accessible and consistent across an enterprise estate.

  • React
  • Next.js
  • Angular
  • Vue.js
  • Nuxt
  • Svelte
  • SvelteKit
  • SolidJS
  • Astro
  • Remix
  • Gatsby
  • Ember.js
  • Backbone.js
  • jQuery
  • Bootstrap
  • Tailwind CSS
  • Material UI
  • Chakra UI
  • Ant Design
  • Storybook

Mobile Engineering

Native iOS and Android alongside cross-platform frameworks, selected by how deeply the product needs the device and how many platforms it must serve.

  • Swift
  • SwiftUI
  • Objective-C
  • Kotlin
  • Jetpack Compose
  • Java
  • Android SDK
  • iOS SDK
  • Flutter
  • React Native
  • .NET MAUI
  • Xamarin
  • Ionic
  • Capacitor
  • Cordova

Backend & Architecture

The services, frameworks and architectural styles that carry enterprise logic, and the APIs that let systems and agents call it.

Backend Engineering

Service frameworks across the JVM, .NET, Node.js, Python, PHP, Ruby, Elixir, Go and Rust ecosystems, engineered for reliability at scale.

  • Node.js
  • Express
  • NestJS
  • Fastify
  • Spring
  • Spring Boot
  • Jakarta EE
  • .NET
  • ASP.NET Core
  • Django
  • Flask
  • FastAPI
  • Laravel
  • Symfony
  • CodeIgniter
  • Ruby on Rails
  • Phoenix
  • Gin
  • Fiber
  • Actix
  • Rocket

Application Architecture

The architectural styles that decide how systems are decomposed, how they communicate and how they change, from modular monoliths to event-driven and edge.

  • Monoliths
  • Modular Monoliths
  • Microservices
  • Service-Oriented Architecture
  • Event-Driven Architecture
  • Serverless
  • Distributed Systems
  • Domain-Driven Design
  • API-First Architecture
  • Headless Architecture
  • Composable Architecture
  • Edge Computing

APIs & Integration

API styles, contracts, identity standards and integration platforms that connect systems of record to each other and to the intelligence layer.

  • REST
  • GraphQL
  • gRPC
  • SOAP
  • WebSockets
  • Webhooks
  • OpenAPI
  • AsyncAPI
  • OAuth
  • OAuth 2.0
  • OpenID Connect
  • SAML
  • JWT
  • API Gateways
  • Enterprise Integration
  • iPaaS
  • ETL
  • ELT

Enterprise Architecture

Architecture frameworks, domain architectures and governance that keep a multi-year estate coherent as it changes.

  • TOGAF
  • Solution Architecture
  • Cloud Architecture
  • Data Architecture
  • Application Architecture
  • Integration Architecture
  • Security Architecture
  • AI Architecture
  • Technology Roadmaps
  • Architecture Governance

Data & Analytics

Where the enterprise keeps what it knows: relational and NoSQL stores, search, streaming, lakehouses, analytics and the vector stores models reason over.

Databases: Relational

Transactional and analytical relational databases, on premises and cloud-native, for the records the enterprise cannot lose.

  • PostgreSQL
  • MySQL
  • MariaDB
  • Oracle Database
  • Microsoft SQL Server
  • IBM Db2
  • SQLite
  • CockroachDB
  • Aurora

Databases: NoSQL

Document, key-value, wide-column and graph databases where the shape of the data or the scale of access calls for them.

  • MongoDB
  • DynamoDB
  • Cassandra
  • Couchbase
  • Firebase
  • Cosmos DB
  • Neo4j
  • ArangoDB

Caching & Search

In-memory caches and search engines that make data fast to reach and easy to find, for applications and for retrieval-augmented AI.

  • Redis
  • Memcached
  • Elasticsearch
  • OpenSearch
  • Solr
  • Algolia
  • Meilisearch

Data Engineering

Batch and streaming processing, change data capture, orchestration and transformation frameworks that move and shape data reliably.

  • Apache Spark
  • Apache Flink
  • Apache Beam
  • Hadoop
  • Kafka
  • Kafka Connect
  • Debezium
  • Airflow
  • Dagster
  • Prefect
  • dbt
  • Trino
  • Presto
  • Databricks

Data Warehousing & Lakehouse

Cloud warehouses and open lakehouse formats that hold governed, analysis-ready data at enterprise scale.

  • Snowflake
  • BigQuery
  • Amazon Redshift
  • Azure Synapse
  • Databricks Lakehouse
  • Delta Lake
  • Apache Iceberg
  • Apache Hudi

Business Intelligence & Analytics

The analytics and reporting platforms through which leaders read the business, connected to the same semantic layer models use.

  • Power BI
  • Tableau
  • Looker
  • Looker Studio
  • Qlik
  • MicroStrategy
  • Domo
  • Sisense
  • ThoughtSpot
  • Mode

Vector & AI Databases

Vector stores and vector-capable engines for embeddings, similarity search and the retrieval that grounds generative systems.

  • Pinecone
  • Weaviate
  • Milvus
  • Qdrant
  • Chroma
  • pgvector
  • Redis Vector Search
  • Elasticsearch Vector Search
  • OpenSearch Vector Search

AI & Generative AI

Machine learning, generative AI and the architecture that turns models into governed enterprise capability.

AI & Machine Learning

Deep learning and classical machine learning frameworks with the experiment tracking, model management and serving that make them operable.

  • PyTorch
  • TensorFlow
  • Keras
  • scikit-learn
  • XGBoost
  • LightGBM
  • JAX
  • ONNX
  • MLflow
  • Kubeflow
  • Weights & Biases

Generative AI & LLM Engineering

Model providers, open models, orchestration frameworks and serving engines for building on large language models with governance intact.

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • Mistral
  • Cohere
  • Hugging Face
  • Azure OpenAI
  • Amazon Bedrock
  • Google Vertex AI
  • LangChain
  • LangGraph
  • LlamaIndex
  • Semantic Kernel
  • DSPy
  • Ollama
  • vLLM
  • Transformers
  • PEFT
  • LoRA

AI Architecture

The patterns that make AI enterprise-grade: retrieval, evaluation, guardrails, routing, tool use, agents and observability.

  • RAG
  • Vector Search
  • Embeddings
  • Fine-Tuning
  • Prompt Engineering
  • Function Calling
  • Tool Use
  • Multimodal AI
  • AI Agents
  • Agentic Workflows
  • Multi-Agent Systems
  • Knowledge Graphs
  • AI Evaluation
  • Guardrails
  • Model Routing
  • Model Observability

AI Native Engineering

Building applications, copilots, agents and knowledge systems that are designed around intelligence from the first line of code.

  • LLM Applications
  • AI Copilots
  • AI Agents
  • Autonomous Workflows
  • Agent Orchestration
  • Enterprise Knowledge Systems
  • AI Search
  • AI Personalisation
  • Predictive Systems
  • Decision Intelligence
  • AI Governance
  • Human-in-the-Loop Systems

Emerging Computing

Edge AI, digital twins, spatial computing, robotics and the frontiers beyond, engineered where they earn their place in an enterprise.

  • Edge AI
  • Digital Twins
  • Spatial Computing
  • AR
  • VR
  • XR
  • Computer Vision
  • Speech AI
  • Multimodal Systems
  • Robotics
  • Quantum Computing
  • Neuromorphic Computing

Cloud & Platform

The hyperscalers, containers, infrastructure as code and platform engineering that run intelligent workloads securely and economically.

Cloud Platforms

The hyperscale and specialist clouds, selected by workload, sovereignty and cost rather than by preference.

  • AWS
  • Microsoft Azure
  • Google Cloud Platform
  • Oracle Cloud
  • IBM Cloud
  • Alibaba Cloud
  • Cloudflare

AWS

Compute, storage, data, integration, AI and governance services across Amazon Web Services.

  • EC2
  • ECS
  • EKS
  • Lambda
  • S3
  • RDS
  • Aurora
  • DynamoDB
  • Redshift
  • CloudFront
  • Route 53
  • API Gateway
  • EventBridge
  • SQS
  • SNS
  • Step Functions
  • Glue
  • EMR
  • SageMaker
  • Bedrock
  • IAM
  • VPC
  • CloudWatch

Microsoft Azure

Compute, data, integration, AI, identity and monitoring services across Microsoft Azure and Fabric.

  • Azure VMs
  • AKS
  • Functions
  • Blob Storage
  • Azure SQL
  • Cosmos DB
  • Synapse
  • Data Factory
  • Event Hubs
  • Service Bus
  • Logic Apps
  • API Management
  • Azure AI
  • Azure OpenAI
  • Machine Learning
  • Microsoft Fabric
  • Entra ID
  • Monitor

Google Cloud

Compute, data, analytics, AI and API services across Google Cloud.

  • Compute Engine
  • GKE
  • Cloud Run
  • Cloud Functions
  • Cloud Storage
  • Cloud SQL
  • BigQuery
  • Pub/Sub
  • Dataflow
  • Dataproc
  • Data Fusion
  • Vertex AI
  • Firebase
  • Apigee
  • Cloud CDN
  • IAM

Containers & Orchestration

Container runtimes, Kubernetes distributions, service mesh and GitOps delivery for workloads that scale and recover on their own.

  • Docker
  • Kubernetes
  • OpenShift
  • Helm
  • K3s
  • Rancher
  • Docker Compose
  • Istio
  • Envoy
  • Argo CD
  • Argo Workflows

Infrastructure as Code

Declarative infrastructure and configuration management so environments are reproducible, reviewable and auditable.

  • Terraform
  • OpenTofu
  • Pulumi
  • AWS CloudFormation
  • Azure Bicep
  • Ansible
  • Chef
  • Puppet
  • SaltStack

Operating Systems

Server, desktop and mobile operating systems the estate runs on, from enterprise Linux to Windows Server, macOS, Android and iOS.

  • Linux
  • Ubuntu
  • Debian
  • Red Hat Enterprise Linux
  • Amazon Linux
  • Windows Server
  • Windows
  • macOS
  • Android
  • iOS

Networking

Protocols, routing, VPN and software-defined networking, load balancing and CDN that carry traffic securely and fast.

  • TCP/IP
  • HTTP/HTTPS
  • DNS
  • DHCP
  • VPN
  • SD-WAN
  • LAN/WAN
  • BGP
  • OSPF
  • Load Balancing
  • CDN
  • DNS Management
  • Network Automation

DevOps & Quality

How code moves from commit to production and how it is proven along the way: pipelines, collaboration, testing and observability.

DevOps & CI/CD

Source control platforms and continuous integration and delivery systems that take code to production repeatably.

  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Jenkins
  • CircleCI
  • Travis CI
  • GitHub Actions
  • GitLab CI/CD
  • Azure DevOps
  • Argo CD
  • Spinnaker
  • TeamCity
  • Bamboo

Source Control & Collaboration

Repositories, issue tracking, documentation and messaging that keep engineering and the business working from one record.

  • GitHub
  • GitLab
  • Bitbucket
  • Azure Repos
  • Jira
  • Confluence
  • Linear
  • Trello
  • Notion
  • Slack
  • Microsoft Teams

Testing & Quality Engineering

Unit, integration, end-to-end, mobile, API, performance and static analysis tooling that proves software before and after release.

  • JUnit
  • TestNG
  • pytest
  • Jest
  • Vitest
  • Mocha
  • Cypress
  • Playwright
  • Selenium
  • Appium
  • Postman
  • Newman
  • k6
  • JMeter
  • Gatling
  • SonarQube
  • ESLint
  • Prettier

Observability & Monitoring

Metrics, logs, traces and error tracking across platforms and applications so operations see what is happening as it happens.

  • Prometheus
  • Grafana
  • OpenTelemetry
  • Jaeger
  • Zipkin
  • ELK
  • Elastic Observability
  • Splunk
  • Datadog
  • New Relic
  • Dynatrace
  • Sentry
  • CloudWatch
  • Azure Monitor

Security & Identity

The control plane: security architecture, platforms and identity for people, services and agents.

Cybersecurity

The disciplines of enterprise security, from identity and privileged access to detection, response, zero trust and DevSecOps.

  • IAM
  • PAM
  • SIEM
  • SOAR
  • EDR
  • XDR
  • DLP
  • WAF
  • Zero Trust
  • SASE
  • Secrets Management
  • PKI
  • Encryption
  • Vulnerability Management
  • Penetration Testing
  • DevSecOps

Security Platforms

The security platforms operated in enterprise estates for detection, protection, identity and secrets.

  • Microsoft Sentinel
  • Defender
  • CrowdStrike
  • Palo Alto Networks
  • Fortinet
  • Okta
  • CyberArk
  • Splunk
  • Cloudflare
  • HashiCorp Vault

Identity & Access

Identity providers, directories and the standards and controls that govern who and what may act.

  • Microsoft Entra ID
  • Active Directory
  • Okta
  • Auth0
  • Keycloak
  • Ping Identity
  • ForgeRock
  • OAuth
  • OIDC
  • SAML
  • MFA
  • RBAC
  • ABAC

Enterprise & Customer Platforms

The systems of record and engagement the business already runs on, and the marketing, data and analytics platforms around them.

Enterprise Platforms

The ERP, CRM, service, HR and finance platforms that run the business, integrated rather than worked around.

  • SAP
  • Salesforce
  • ServiceNow
  • Microsoft Dynamics 365
  • Oracle Cloud
  • Workday
  • SuccessFactors
  • NetSuite
  • Adobe Experience Cloud
  • Atlassian

CRM & Customer Platforms

Customer relationship and service platforms across enterprise and mid-market estates.

  • Salesforce
  • HubSpot
  • Microsoft Dynamics
  • Zoho
  • SAP CX
  • Oracle CX
  • Zendesk
  • Freshworks
  • Intercom
  • Pipedrive

MarTech & Marketing Automation

Marketing platforms and automation suites that run campaigns, journeys and lifecycle communication.

  • Adobe Experience Platform
  • Adobe Campaign
  • Marketo
  • Salesforce Marketing Cloud
  • HubSpot
  • Braze
  • Iterable
  • Klaviyo
  • Mailchimp
  • Pardot
  • Eloqua
  • ActiveCampaign

Customer Data Platforms

Customer data platforms that unify identity, behaviour and consent across channels.

  • Segment
  • Tealium
  • mParticle
  • Treasure Data
  • Adobe Real-Time CDP
  • Salesforce Data Cloud
  • Twilio Segment

Digital Analytics

Web, product and experience analytics that show how people actually use what has been built.

  • Google Analytics
  • GA4
  • Adobe Analytics
  • Mixpanel
  • Amplitude
  • Heap
  • Hotjar
  • FullStory
  • Contentsquare

Advertising Technology

Search, social, retail and programmatic advertising platforms and the measurement around them.

  • Google Ads
  • Microsoft Advertising
  • Meta Ads
  • LinkedIn Ads
  • TikTok Ads
  • Amazon Ads
  • DV360
  • Campaign Manager 360
  • The Trade Desk
  • Xandr
  • Criteo

Commerce & Experience

Commerce engines, content platforms and the design tooling behind customer and employee experience.

Commerce Technology

Commerce platforms, headless commerce and payment providers for digital trade at scale.

  • Shopify
  • Shopify Plus
  • Adobe Commerce
  • Magento
  • WooCommerce
  • BigCommerce
  • Salesforce Commerce Cloud
  • SAP Commerce
  • commercetools
  • VTEX
  • Stripe
  • Razorpay
  • PayPal
  • Adyen

CMS & Digital Experience

Content management, headless CMS and digital experience platforms behind enterprise web estates.

  • WordPress
  • Drupal
  • Joomla
  • Contentful
  • Contentstack
  • Sanity
  • Strapi
  • Sitecore
  • Adobe Experience Manager
  • Optimizely
  • Webflow
  • Wix
  • Framer

Design & Experience Engineering

Design and prototyping tooling, design systems and the research and engineering practice that turn them into product.

  • Figma
  • FigJam
  • Adobe XD
  • Photoshop
  • Illustrator
  • After Effects
  • Premiere Pro
  • Sketch
  • InVision
  • Principle
  • Framer
  • Design Systems
  • Design Tokens
  • Accessibility
  • UX Research
  • UI Engineering

Automation, IoT & Emerging

Workflow and robotic automation, blockchain, connected devices, embedded systems and the computing frontiers that follow them.

Automation & Workflow

Workflow automation and integration platforms that connect applications and orchestrate work across them.

  • n8n
  • Make
  • Zapier
  • Workato
  • MuleSoft
  • Boomi
  • Tray.io
  • Power Automate
  • UiPath
  • Automation Anywhere
  • ServiceNow Flow Designer

Robotic Process Automation

Software robots for deterministic, high-volume work, extended with AI where judgement is needed.

  • UiPath
  • Automation Anywhere
  • Blue Prism
  • Power Automate
  • Robocorp

Blockchain & Web3

Smart contracts, distributed ledgers and wallet integration for applications where shared, tamper-evident records matter.

  • Solidity
  • Ethereum
  • Polygon
  • Hyperledger
  • Solana
  • Web3.js
  • Ethers.js
  • Smart Contracts
  • Wallet Integration
  • Decentralised Applications

IoT & Edge

Industrial protocols, cloud IoT services, edge computing and digital twins that connect physical assets to the enterprise.

  • MQTT
  • OPC UA
  • Modbus
  • AWS IoT
  • Azure IoT
  • Google Cloud IoT
  • Edge Computing
  • Digital Twins
  • Embedded Systems
  • Raspberry Pi
  • Arduino

Embedded & Systems Engineering

Firmware, real-time and embedded Linux systems, drivers and silicon platforms for devices and machines.

  • C
  • C++
  • Rust
  • Assembly
  • RTOS
  • Linux
  • Embedded Linux
  • Firmware
  • Drivers
  • ARM
  • RISC-V
  • FPGA

Platform-independent by design

Independent by design, connected by capability.

Few enterprises operate within a single technology ecosystem. iFortis Worldwide works across cloud, data, AI, application, security and infrastructure platforms, and holds no commercial preference between them.

AI & DataCloud & InfrastructureEnterprise PlatformsSoftware & EngineeringCybersecurityAutomation & Agentic AIDigital ExperienceAnalytics & Intelligence

Our work is measured by what the technology produces in the business, not by the technology selected.

The ecosystem we build on.

Powered by the world’s leading enterprise technologies.

Enterprise outcomes

Measured in the operating business, not in the programme report

Faster decision cycles

Reduce the distance between enterprise data and action.

Lower cost of operations

Automate the work itself, so cost per outcome falls as quality rises.

Higher engineering velocity

Accelerate product, platform and application development.

Greater automation

Automate work across processes, functions and workflows.

Reduced technology complexity

Modernise fragmented estates and simplify the enterprise architecture.

Improved enterprise visibility

See operations, risk and performance in one governed picture.

Scalable AI adoption

Move successful AI from individual use cases to enterprise-wide capability.

Continuous operating intelligence

An enterprise that improves without waiting for the next programme.

Frequently asked questions

Hands-on delivery decides. A technology appears when engineers have architected, built and operated it in production, and it is retired when the platform no longer belongs in an enterprise estate.

No. Selection follows architecture, security requirements, workload characteristics and cost. Most enterprises end up with more than one, and the architecture is designed so they can change as the market moves.

Yes. The stack is broad precisely so that engineering can meet an enterprise where it already is, extend what it has, and introduce new technology only where it earns its place.

Everywhere. Models, agents and vector stores are engineered with the same pipelines, identity, observability and cost controls as any other production system, which is the whole point of AI Native Technology.

Build the intelligent enterprise. Explore an AI transformation opportunity with iFortis Worldwide®.

iFortis Worldwide®

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