Accelerate implementation
Use AI-assisted development for well-scoped coding tasks, prototypes, repetitive UI work, test scaffolding, and refactoring support.
Software delivery partner for serious B2B systems
Polygon Consulting designs, builds, modernizes, and deploys business software: custom platforms, web applications, backend APIs, DevOps systems, and Kubernetes-ready products for B2B clients.
Delivery model
Architecture first. AI where it pays. Review always.
Capabilities
The offer is deliberately practical: build new systems, stabilize existing ones, integrate APIs, and make software deployable, secure, and maintainable.
Product platforms, internal systems, portals, dashboards, and workflow tools shaped around real operating constraints, integrations, and ownership models.
Useful for B2B products, internal operations, and team-specific workflows.
APIs, service boundaries, data models, authentication flows, third-party integrations, and reliability work for business-critical systems.
Practical contracts, predictable errors, and integration-aware delivery.
Containerized applications, CI/CD, ingress, secrets, observability, health checks, rollout plans, and infrastructure review.
Designed so the application can actually be operated after launch.
Modern frontends with stable architecture, measurable performance, accessible UI, clear state handling, and maintainable component systems.
Built for production teams, not one-off demos.
Incremental refactoring, migration planning, interface stabilization, test coverage, and replacement paths that avoid risky big-bang rewrites.
Modernization plans that respect live business operations.
Architecture review, delivery rescue, vendor evaluation, cost control, AI coding workflow design, and executive technical due diligence.
Senior judgment when the path is unclear or already off track.
AI-assisted delivery without fantasy
AI-assisted software development is used to accelerate implementation, reduce repetitive manual work, prototype quickly, and lower delivery cost where the risk profile allows it.
Senior engineers remain responsible for architecture, integration, code review, testing, security hygiene, deployment readiness, and final delivery control. AI does not replace engineering judgment.
Use AI-assisted development for well-scoped coding tasks, prototypes, repetitive UI work, test scaffolding, and refactoring support.
Keep senior engineers responsible for system boundaries, data contracts, deployment assumptions, and technical trade-offs.
Treat AI output as code that must pass human review, static checks, tests, and integration reasoning before it ships.
Reduce manual repetition and speed up iteration while preserving accountability for security, maintainability, and production behavior.
Why work with us
Good software delivery is not only code production. It is scope discipline, integration judgment, operational readiness, and clear ownership of quality.
Architecture, risk management, review, and release decisions stay with experienced engineers.
AI/vibe coding is used as a controlled delivery accelerator, not as a substitute for engineering judgment.
APIs, forms, external services, authentication, data, and deployment concerns are handled as product requirements, not afterthoughts.
Serbia-based software delivery for European and international B2B clients that need pragmatic collaboration and cost control.
Docker, Kubernetes, environment variables, health checks, secrets, and rollout paths are considered before production handoff.
Readable TypeScript, clear components, documented assumptions, and implementation choices that another team can extend.
Process
The work is split into verifiable stages so scope, architecture, build quality, and deployment assumptions stay visible.
Define the business outcome, users, constraints, risks, and non-negotiable quality gates.
Select a maintainable stack, data model, integration boundaries, deployment path, and review strategy.
Use senior-led implementation with AI-assisted coding where it safely reduces repetitive development work.
Run code review, tests, build checks, performance review, security hygiene, and deployment readiness checks.
Leave documentation, runbooks, environment notes, and repository structure that a team can operate.
Representative engagements
These examples describe the type of commercially useful work the company is built to handle. Client-approved case studies can replace them later without changing the page structure.
Operations platform
Discovery, process modeling, secure web application delivery, role-based workflows, reporting foundations, and a backlog that business stakeholders can understand.
Cloud delivery
Docker build hardening, health checks, environment separation, ingress planning, secrets review, and operational documentation for a controlled rollout.
Delivery rescue
Architecture review, backlog triage, risk isolation, critical path implementation, and senior technical governance over AI-assisted iteration.
Technology
Tooling is selected for maintainability, hiring availability, deployment practicality, and long-term operational control.
Contact
Send a short project brief for custom software development, web application work, backend/API development, Kubernetes deployment, DevOps consulting, or modernization.
Typical first response
Scope fit, obvious risks, missing inputs, and a proposed next step.