Software development & IT consulting
AI-assisted speed.
Engineer-led delivery.
Build your first product, add AI to an existing workflow or modernise the software your business relies on. We work with founders and technology teams, using AI to assist development while experienced engineers remain accountable for delivery.
- Engineers accountable for delivery
- Code review and release checks
- Agreed scope and responsibilities
- MVP development
- AI and ML solutions
- System modernisation
- Cloud and DevOps
- IT consulting
Services
Build a product, add AI or improve your existing systems
Choose the starting point that matches your problem. We’ll work through the scope, dependencies and delivery responsibilities with you.
MVP Development
Define and build a first release around the user problem you need to test.
Explore service 02AI & ML Solutions
Assess an AI use case, evaluate its outputs and integrate it into your workflow.
Explore service 03Digital Transformation & IT Consulting
Find the bottlenecks in your current systems and plan which changes to make first.
Explore service 04ERP Implementation & Customization
Connect finance, operations and workforce systems around agreed data and workflows.
Explore ERP SolutionsERP Solutions by Actinode
Your ERP, connected and compliant.
ERP implementation, integration and support — including UAE e-invoicing readiness. Explore our dedicated ERP Solutions website.
How we work
AI assists the work. Engineers own the decisions.
AI can help with code exploration, test drafts and documentation. Engineers review the output and remain responsible for architecture, security, testing and release decisions. We agree where AI tools may be used and what project data they may access.
- 01
Understand
Identify the user problem, existing systems and constraints.
- 02
Agree the scope
Define what to build, what to leave out and how to judge the release.
- 03
Build and review
Use AI where it helps, with engineers reviewing code and testing critical workflows.
- 04
Release and hand over
Review release risks and agree deployment, documentation and ongoing ownership.
Case studies
See the work behind the results
Explore the original challenges, engineering decisions and reported results from selected projects.
Kubernetes Migration & Infrastructure Modernization
Read case study AI & MLAI-Powered Customer Support Chatbot
Read case study Cloud & DevOps80% Infrastructure Cost Reduction Through Vercel to Kubernetes Migration
Read case study ERP & IntegrationEnterprise Workforce Data Integration Across Multiple ERP & HR Systems
Read case studyIndustries
Software for the way your industry works
Explore the workflows, data requirements and operational risks that shape each industry’s software.
Healthcare
Patient-data access, clinical integrations and care delivery workflows.
View industryWaste Management
Dispatch, routing and records for field and back-office teams.
View industrySustainability & ESG
Data collection, calculation history and traceable ESG reporting.
View industryRegulatory Compliance
Access controls, audit trails and evidence collection.
View industryAuction & Marketplace
Bidding, payments and dispute workflows for marketplace operators.
View industryWhy Actinode
Clear scope, reviewed code and accountable delivery
- Agree the scope, dependencies and release criteria before committing to a delivery plan.
- Keep architecture, security and release decisions with experienced engineers.
- Review AI-generated code and test it against the agreed requirements.
- Choose technology around your existing systems and the team that will maintain it.
- Discuss progress, blockers and scope changes with your team.
- Agree deployment responsibilities, documentation and support needs before handover.
Insights
Practical guides to engineering decisions
Production RAG Systems: Chunking Strategies, Retrieval Metrics, and Failure Modes Users Actually See
Read article Waste ManagementField Operations Software for Waste and Recycling: Routing, Manifests, and Regulator-Ready Exports
Read article MarketplaceTwo-Sided Marketplace Reliability: Engineering Payouts, Disputes, and Trust at Scale
Read articleMVP planning
Decide what belongs in your first release
Discuss the user problem, essential features and dependencies before setting a delivery target.
Tell us what you want to build or improve
Share the problem, your current systems and any constraints. We can discuss a first release, an AI use case or the next step for an existing system.
Discuss your project