Solutions
Build and modernise software at AI-era speed, without sacrificing engineering discipline
We modernise legacy platforms, build new products and add AI capabilities to existing applications, using SYGNISYS Flow, our AI-native delivery method. AI speeds up analysis, coding and testing. Senior engineers stay accountable for every line that ships.
Software that should be faster to change
- Legacy platforms make every change slow, risky and expensive.
- New products need to reach the market before the window closes.
- Your customers expect AI features, but your team has no time to build them properly.
- “AI-generated” code is arriving faster than anyone can review it.
What we build
AI-accelerated modernisation
Move legacy applications onto modern, maintainable platforms. AI-assisted code analysis and test generation reduce risk and speed up the work; engineers own the architecture and every decision.
AI feature engineering
Add generative AI, copilots, intelligent search, knowledge retrieval, conversational interfaces and agents to products you already run, with evaluation and monitoring built in.
Agent-ready systems
Make your systems safe for AI agents to use: well-defined APIs, MCP servers, scoped permissions and audit logs. Useful whichever agent platform you choose.
Product launch
For founders and new ventures: discovery, prototype, MVP, production and scale, with the architecture to grow.
Digital product and enterprise engineering
Complete product teams and secure, integrated enterprise platforms.
Common modernisation paths
- .NET FrameworkModern .NET
- AngularJSCurrent frameworks
- MonolithDecomposed services
- On-premisesCloud
Delivery method
Delivered with SYGNISYS Flow
Six stages, with human review gates at Design, Assure and Deploy.
AI accelerates engineering discipline. It does not replace it.
See how we deliverTested before it ships
- Automated tests generated and reviewed alongside the code.
- Security scanning and dependency checks in the pipeline.
- AI features evaluated for accuracy, safety and regression before release.
- Code you own, documented for your team.
AI features are tested with the same discipline we apply in AI Assurance.
How we can work together
Fixed-scope delivery
For defined projects and modernisation phases, priced by milestone.
Product pods
Pods that own an ongoing roadmap.
Modernisation programmes
Delivered in measured slices, so value arrives before the programme ends.
Technology we work with
Leading AI models, cloud platforms and engineering stacks. We choose for the problem.
Your workflow
The outcome you need sets the stack. Each layer below is chosen for it.
AI models
Model-agnostic
- OpenAI
- Anthropic
- Open-source models
Software engineering
- .NET
- Java
- Python
- Node.js
- React
- Angular
- Native and cross-platform mobile
Cloud
Cloud-agnostic
- Microsoft Azure
- AWS
- Google Cloud
Frequently asked questions
Which legacy systems can you modernise?
We move legacy applications onto modern, maintainable platforms, for example .NET Framework to modern .NET, AngularJS to current frameworks, monolith decomposition and cloud migration. AI-assisted code analysis and test generation reduce the risk; engineers own the architecture.
How do you use AI without lowering code quality?
Every change goes through SYGNISYS Flow, with human review gates at Design, Assure and Deploy. Tests are generated and reviewed alongside the code, security scanning runs in the pipeline, and senior engineers stay accountable for everything that ships.
Can you add AI features to a product we already run?
Yes. We add generative AI, copilots, intelligent search, knowledge retrieval, conversational interfaces and agents to existing products, with evaluation and monitoring built in.
How can we work together?
Three ways: fixed-scope delivery for defined projects, priced by milestone; product pods that own an ongoing roadmap; and modernisation programmes delivered in measured slices, so value arrives before the programme ends.
Which technologies do you use?
.NET, Java, Python, Node.js, React, Angular, and native and cross-platform mobile, on Microsoft Azure, AWS and Google Cloud, with leading AI models and orchestration tools. We choose for the problem.