Software development services
Build secure, high-quality software faster and more
cost-effectively with AI-assisted engineering.
Software economics have changed.
So should the delivery model.
At Fabrity, we use AI-assisted engineering to change how software gets delivered.
How to make AI-assisted engineering work
How we help
From modernizing legacy systems and digitizing business processes to building AI-enabled platforms, we help enterprises address complex technology challenges. Using AI-assisted engineering throughout the software development lifecycle, we deliver secure, scalable solutions faster and more cost-effectively—improving operational efficiency, increasing flexibility, and giving organizations greater control over their technology, data, and business logic.
1. Build AI-enabled systems for critical operations
Use AI to automate complex work, improve decisions, and support business-critical processes.
When it fits
A critical process requires more than a standard application. It may involve large volumes of information, visual data, complex planning, simulations, or decisions that still depend on time-consuming manual work.
What we do
- Design end-to-end solutions around the business process.
- Combine AI agents, enterprise knowledge bases, computer vision, predictive models, or optimization tools.
- Integrate workflow automation with human review and existing systems.
- Deploy in the cloud, private cloud, or on premises while keeping your data and business logic under your control.
Examples from our project portfolio
AI for product formulation optimization
Challenge: Complex formulations require repeated laboratory testing.
Solution: Predictive models combine enterprise data, certificates, and formulation knowledge to predict product properties and recommend compositions.
Value: Faster development, better-informed decisions, and fewer laboratory tests.
AI-powered material quality mapping
Challenge: Material quality varies depending on where it is extracted.
Solution: Location data, operational datasets, and ML are combined into a digital quality map that predicts material composition.
Value: Better extraction planning, more consistent quality, and improved efficiency.
AI-powered delivery quality control
Challenge: Manual control cannot reliably detect practices affecting raw-material weight and supplier settlements.
Solution: Edge AI analyzes unloading in real time, detects suspicious activity, and records evidence.
Value: Stronger delivery control and more reliable supplier data.
Automated rail wagon identification and documentation
Challenge: Manual wagon identification, weighing, and documentation are slow and error-prone.
Solution: Computer vision, OCR, and Document AI identify wagons, match weight data, and automate documentation.
Value: Faster operations, fewer errors, and complete traceability
Start with one critical process
We define the objective, assess feasibility and risks, and build a PoC to validate measurable business value.
2. Accelerate business process digitalization
When it fits
Your backlog is growing faster than IT capacity. Business teams wait months, while spreadsheets, email, and shadow IT remain part of everyday processes.
What we do
- Prioritize business needs through a structured application backlog.
- Apply shared architecture, security, and technology standards.
- Reuse components, integrations, single sign-on, and role-based access.
- Accelerate development, testing, documentation, and deployment with AI.
Examples from our project portfolio
Scalable employee applications for factory environments
Challenge: Digitizing employee processes across mobile devices and factory-floor kiosks can be costly, fragmented, and difficult to scale.
Solution: A shared application platform with reusable components, mobile and kiosk access, RFID login, enterprise identity integration, and apps for HR, schedules, parking, news, and issue reporting.
Value: Faster process digitization, a consistent user experience, and lower development and platform costs.
FINANCIAL SERVICES
PROCESS DIGITALIZATION
APPLICATION PLATFORM
Clearing an application backlog for internal processes
Challenge: Requests for internal applications waited months in the IT queue, while teams kept running the processes in spreadsheets and email.
Solution: A prioritized backlog delivered on a shared platform—common architecture, single sign-on, role-based access, reusable components, and AI-assisted development and testing.
Value: A predictable delivery pace, one consistent user experience, and audit-ready process records.
MANUFACTURING GROUP
PROCESS DIGITALIZATION
COMPLIANCE & ESG DATA
Replacing spreadsheets in multi-site reporting
Challenge: ESG and compliance data arrived from dozens of sites in spreadsheets—without validation, ownership, or an audit trail.
Solution: A web application with site-level data entry, validation rules, and an approval workflow—delivered first as a PoC, then extended after the first reporting cycle.
Value: One source of data, shorter reporting cycles, and traceable approvals.
Start with one high-value process
We select one high-value need, validate it with a PoC, and deliver the first application using a scalable model. Depending on scope and integrations, a PoC can be delivered in days and an MVP in weeks.3. Replace costly SaaS with software you own
Replace restrictive or expensive SaaS platforms with custom software built around your business.
When it fits
Subscription and maintenance costs continue to rise, licensing restricts users or integrations, changes depend on expensive specialists, or critical data and business logic remain controlled by a vendor.
What we do
- Compare the total cost of ownership of your current platform with a custom solution.
- Identify hidden costs and vendor dependencies.
- Design around your processes and migrate data, integrations, and business rules.
- Replace the platform in stages and transfer the source code, documentation, and knowledge.
Examples from our project portfolio
Custom-made MPS production planning system
Challenge: Production planning relied on ERP, Access, Excel, and paper records, creating manual work, inconsistent data, and dependence on costly off-the-shelf platforms.
Solution: A custom-made, client-owned, on-premises MPS system combining electronic operation records, IDP/LLM, machine telemetry, OEE, CMMS, predictive maintenance, and ERP integration.
Value: Full system ownership, lower licensing and maintenance costs, less manual work, and one integrated view of production.
LIFE SCIENCES
SAAS REPLACEMENT
DOCUMENT WORKFLOW
Replacing a per-user licensed document workflow platform
Challenge: Per-user licensing limited how many employees could take part in document review and approval, and every configuration change required vendor involvement.
Solution: A custom approval platform with electronic sign-off, full audit trail, and versioning—deployed in the client’s own environment.
Value: All employees included without incremental license cost, changes delivered in days instead of months, and audit records under the client’s control.
Start with a total cost of ownership analysis
We compare the current platform with a custom alternative, including direct costs, hidden dependencies, migration effort, operational risk, and long-term ownership benefits.
4. Modernize legacy software
Replace outdated applications with secure, maintainable systems—without disrupting critical business operations.
When it fits
Your organization relies on outdated or difficult-to-support technologies (for example, Lotus Notes/Domino, Delphi, or older versions of .NET). Changes are slow, maintenance costs are rising, and essential knowledge is held by a small number of specialists.
What we do
- Map code, business rules, integrations, and dependencies.
- Identify security risks, technical debt, and migration blockers.
- Recommend the right modernization approach.
- Plan migration and knowledge transfer with minimal operational risk.
Examples from our project portfolio
Replacement of a critical domain system
Challenge: A business-critical Oracle system becomes costly to maintain and develop, while standard SaaS alternatives may not provide the required functionality, UX, or integration flexibility.
Solution: A custom .NET and React platform replaces the legacy system incrementally and integrates with the existing application ecosystem.
Value: Lower technology and licensing costs, better fit to business needs, improved UX, and greater flexibility for future development.
INSURANCE
LOTUS NOTES/DOMINO MIGRATION
Exit from Lotus Notes/Domino
Challenge: Dozens of business-critical Notes applications held undocumented business rules, while support depended on a shrinking group of specialists.
Solution: Application inventory and rationalization, business-rule extraction supported by AI-assisted code analysis, and a staged rebuild on .NET and React.
Value: A supportable technology stack, documented business logic, and no interruption to daily operations.
ENERGY / UTILITIE
LEGACY MODERNIZATION
DESKTOP-TO-WEB MIGRATION
From a Delphi desktop application to a web platform
Challenge: A Delphi application supporting field and back-office work could no longer be extended, required installation on every workstation, and blocked mobile access.
Solution: Reverse engineering of the data model and business rules, a rebuilt web application integrated with existing ERP and reporting systems, with both versions running in parallel during cutover.
Value: Remote and mobile access, faster release cycles, and a maintainable codebase.
Start with a legacy audit
Get a clear view of your system, key risks, modernization options, and recommended next steps.Where AI adds value
Requirements and design
Analysis, backlog preparation, solution design, and documentation.
Development
AI-assisted coding and integration, reviewed by experienced engineers.
Testing
Test-case generation, test data, and automated regression testing.
DevSecOps and deployment
CI/CD, security scanning, Infrastructure as Code, and repeatable environments.
Service and maintenance
Request classification, knowledge search, and faster diagnosis.
Human in the loop
Experienced engineers review outputs and remain responsible for final decisions.
How we deliver
Faster delivery comes from experienced engineers, repeatable processes, and built-in quality—not uncontrolled experimentation.
1. Experienced engineering teamsy
Small, senior-led teams take end-to-end responsibility for delivery.
- Cross-functional expertise covers architecture, UX, security, performance, development, and quality.
- Engineers decide where AI can create measurable value.
- People remain accountable for code review, engineering oversight, and final decisions.
People lead the tools—not the other way around.
2. A mature end-to-end process
Discovery, requirements, design, development, testing, deployment, and maintenance are managed as one delivery flow.
- AI and automation support the stages where they improve speed, consistency, and traceability.
- CI/CD, Infrastructure as Code, and standardized environments make releases repeatable.
- Documentation and knowledge are maintained throughout the software lifecycle.
Repeatable, measurable, and ready to scale.
3. Quality and security built in
Quality, security, and maintainability are part of delivery from day one.
- Automated testing, peer review, static analysis, and DevSecOps are standard.
- SBOMs, vulnerability management, and security controls are integrated into delivery pipelines.
- Performance and maintainability are considered throughout design and development.
- Our practices are supported by ISO 9001, ISO/IEC 27001, and Cyber Essentials.
Verified standards—not declarations.
Technology—a complete stack for modern software engineering
Applications & experience
Business applications
web & mobile
UX/U
portals
employee apps
React
.NET / ASP.NET Core
Python
Architecture & integration
Business logic
APIs
enterprise integrations
ERP integration
SSO
event-driven architecture
modular monoliths
microservices
Data & AI
Data platforms
lakehouses
analytics
AI agents
RAG
ML
computer vision
OCR / IDP
Databricks
Snowflake
Spark
MLflow
Cloud & platform engineering
Azure
AWS
GCP
private cloud
on-premises
Docker
Kubernetes
Infrastructure as Code
CI/CD
Azure DevOps
Security & operations
DevSecOps
automated testing
observability
SBOM
vulnerability management
encryption
RBAC
production support
ISO 27001
Cyber Essentials
Engagement models
Work closely with the team
Stay involved in delivery and build the solution together with us.
- Transparent backlog and progress tracking
- Hybrid teams with your specialists
- Shared tools, repository, and communication
- Ongoing knowledge transfer
Receive a ready-to-run solution
- Regular demos and sprint reviews
- Working, tested, production-ready software
- Full handover of code and documentation
- Support and further development if needed
Commercial models
Fixed fee
A defined scope, budget, and delivery plan.
Outcome-based
Fees linked to agreed and measurable business outcomes.
Development subscription
A fixed monthly fee for continuous development and maintenance.
Why Fabrity
A long-term technology partner for enterprises
Specialized in custom software, data, and AI
Engineering expertise since 2007
300+ experts across five offices in Poland
Listed on the Warsaw Stock Exchange: FAB
ISO 9001, ISO/IEC 27001 and Cyber Essentials
Our clients
Ready to accelerate software delivery with AI?
Discuss how AI-assisted engineering can help you modernize existing systems, build new applications, or develop AI-enabled solutions—without compromising quality, security, or control.
No detailed brief is required. We will help you define the right starting point, from an audit or workshop to a PoC or MVP.
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