info@triaxis-is.be+32 492 90 87 78
Markt 54 E, 2440 Geel, Belgium
Software Engineering

Software Engineering

Data architecture, Big Data solutions, AI-driven applications, and custom software development to digitise operations and build modern data ecosystems.

Lead: Wajda Asjad Naaz · 18+ years · Data architecture, cloud & AI
Where we do our best work
Four areas, not the whole industry.
We choose the architecture around the problem, not the problem around a preferred stack. These are the four places where that choice matters most — and where software meets the electrical and environmental sides of a project rather than running beside them.
01

Data & AI Foundation

The layer everything else fails without.

  • Enterprise data architecture
  • Data governance
  • Data quality
  • Lineage and traceability
  • AI readiness assessment
02

Industrial Data Systems

Where the plant meets the platform.

  • SCADA and telemetry integration
  • Streaming and event pipelines
  • IoT and edge collection
  • Operational analytics
  • Asset data models
03

Intelligent Applications

Decisions, not dashboards.

  • AI and machine learning
  • Retrieval-augmented generation
  • Enterprise automation
  • Decision support systems
  • Custom applications
04

Architecture & Performance

For systems that already exist and are straining.

  • Architecture assessment
  • Performance engineering
  • Platform modernisation
  • Cloud cost and efficiency
  • Technical due diligence
Capabilities
The rest of what we build.
Beyond the four focus areas, these are the services that come up regularly on integrated projects.

Data Architecture & Big Data

Enterprise data platform design, data lake/warehouse architecture, and Big Data ecosystem implementation.

AI & Machine Learning

Custom ML model development, NLP pipelines, predictive analytics, and AI integration.

Custom Web & Cloud Applications

Full-stack web apps, cloud-native architectures, SaaS platforms on AWS, Azure, or GCP.

System Integration & APIs

Enterprise system integration, RESTful/GraphQL API design, and middleware solutions.

Web3 & Decentralised Data

Blockchain, decentralised identity, verifiable credentials, and linked data solutions.

Data Engineering & Analytics

ETL/ELT pipelines, real-time streaming, BI dashboards, and advanced analytics.

DevOps & Cloud Infrastructure

CI/CD pipelines, Docker/K8s, infrastructure as code, and cloud architecture.

Mobile & Cross-Platform

Progressive web apps, responsive design, and cross-platform mobile solutions.

Training & Certification
Training & Professional Development
Hands-on workshops to upskill your team in modern software engineering practices.

Data Architecture Fundamentals

Data modelling, warehouse design, lake architecture essentials.

Fundamentals

AI/ML for Business

Practical AI and machine learning applications for enterprise.

Applied

Cloud & DevOps Workshop

AWS/Azure/GCP services, CI/CD, containerisation hands-on labs.

Workshop

Big Data Technologies

Hadoop, Spark, Kafka, and modern data stack training.

Technical

API Design & Integration

RESTful API design patterns, GraphQL, and system integration.

Design

Web3 & Blockchain

Decentralised technologies, smart contracts, and verifiable credentials.

Emerging
Audits & Reviews
Technical Audits & Code Reviews
Independent technical assessments to identify risks, improve quality, and optimise performance.
01

Architecture Review

System architecture assessment, scalability analysis, and improvement recommendations.

02

Code Quality Audit

Codebase health check, technical debt assessment, and refactoring roadmap.

03

Security Assessment

Application security review, OWASP compliance, and vulnerability analysis.

04

Data Quality Audit

Data integrity, completeness, accuracy, and governance review.

05

Cloud Infrastructure Review

Cloud cost optimisation, security posture, and best practices audit.

06

Performance Audit

Application performance profiling, bottleneck identification, and optimisation.

Products & Solutions
Software Products & Solutions
Turnkey software products and managed solutions tailored to your business needs.

Custom Software Development

End-to-end bespoke software from requirements to deployment and support.

Data Platform Solutions

Complete data ecosystem: ingestion, processing, storage, analytics, and visualisation.

AI-Powered Applications

Intelligent applications with embedded ML models, NLP, and predictive capabilities.

Digital Transformation

Legacy system modernisation, process automation, and digital workflows.

Analytics & BI Dashboards

Interactive BI dashboards with real-time data visualisation and reporting.

Managed Development Teams

Dedicated development team augmentation for ongoing projects.

Technology Stack
Chosen per problem, listed for completeness.
Stacks change; the reasoning does not. This is what we have worked in, not a statement about what a project should use — that follows from the requirements, the team who will maintain it, and what the client already runs.

Languages

PythonJavaScriptTypeScriptJavaScalaGo

Frontend

ReactNext.jsVueAngular

Backend

Node.jsSpring BootFastAPIDjango

Data

SparkKafkaAirflowdbt

Cloud

AWSAzureGCPDockerKubernetes

AI / ML

TensorFlowPyTorchscikit-learnLangChain

Databases

PostgreSQLMongoDBNeo4jRedisElasticsearch

Web3

EthereumFlureeIPFSVerifiable Credentials
AI integration consulting
Everyone wants AI. Few are ready.
Don’t automate chaos. Build AI that delivers.

Most companies rush into AI without the right data, processes or strategy — then wonder why results fall short. AI is rarely a tool problem. It is a readiness problem.

  • Strategy that aligns with business goals
  • Data that is trusted, connected and governed
  • Processes that are AI-ready, not AI-reactive
  • Solutions that scale and deliver ROI
01

AI Readiness Assessment

Evaluate your data, systems, people and processes to identify the gaps, risks and opportunities before anything is built.

02

AI Strategy & Roadmap

A prioritised roadmap aligned to business goals and value drivers, so the first project is the one worth doing.

03

Data Foundation & Governance

Secure, scalable data architecture that powers trusted and responsible AI — lineage, quality and access control included.

04

AI Solution Design & Integration

From use case to deployment: designing and integrating solutions that fit your existing stack rather than replacing it.

05

AI Enablement & Change

Upskilling teams, managing change, and embedding adoption across the organisation so the system is actually used.

In the field
Where the data comes from
Industrial operations generate the data our architectures model, store and report against.
Data centre — racks, structured cabling and cooling distribution
Plant operations — the source of the data our systems model