Polygon/ConsultingStart

Software delivery partner for serious B2B systems

Enterprise software delivery with senior control and faster execution.

Polygon Consulting designs, builds, modernizes, and deploys business software: custom platforms, web applications, backend APIs, DevOps systems, and Kubernetes-ready products for B2B clients.

B2B
Product and internal systems
AI
Assisted but supervised
K8s
Deployment-aware delivery

Delivery model

Architecture first. AI where it pays. Review always.

Discovery01
Architecture02
AI-assisted implementation03
Human review04
Deployment readiness05

Capabilities

Software development across product, platform, and operations.

The offer is deliberately practical: build new systems, stabilize existing ones, integrate APIs, and make software deployable, secure, and maintainable.

Custom software development

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.

Backend and API engineering

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.

Cloud, Kubernetes, and DevOps

Containerized applications, CI/CD, ingress, secrets, observability, health checks, rollout plans, and infrastructure review.

Designed so the application can actually be operated after launch.

Web application development

Modern frontends with stable architecture, measurable performance, accessible UI, clear state handling, and maintainable component systems.

Built for production teams, not one-off demos.

Legacy modernization

Incremental refactoring, migration planning, interface stabilization, test coverage, and replacement paths that avoid risky big-bang rewrites.

Modernization plans that respect live business operations.

Technical consulting

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

Faster coding is useful. Unsupervised coding is not a delivery model.

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.

Accelerate implementation

Use AI-assisted development for well-scoped coding tasks, prototypes, repetitive UI work, test scaffolding, and refactoring support.

Control the architecture

Keep senior engineers responsible for system boundaries, data contracts, deployment assumptions, and technical trade-offs.

Review every material change

Treat AI output as code that must pass human review, static checks, tests, and integration reasoning before it ships.

Lower cost responsibly

Reduce manual repetition and speed up iteration while preserving accountability for security, maintainability, and production behavior.

Why work with us

A technical partner for companies that need momentum without losing control.

Good software delivery is not only code production. It is scope discipline, integration judgment, operational readiness, and clear ownership of quality.

Senior-led delivery

Architecture, risk management, review, and release decisions stay with experienced engineers.

Commercially practical AI

AI/vibe coding is used as a controlled delivery accelerator, not as a substitute for engineering judgment.

Integration discipline

APIs, forms, external services, authentication, data, and deployment concerns are handled as product requirements, not afterthoughts.

Nearshore fit

Serbia-based software delivery for European and international B2B clients that need pragmatic collaboration and cost control.

Operational awareness

Docker, Kubernetes, environment variables, health checks, secrets, and rollout paths are considered before production handoff.

Maintainable codebase

Readable TypeScript, clear components, documented assumptions, and implementation choices that another team can extend.

Process

A delivery process designed for fewer surprises.

The work is split into verifiable stages so scope, architecture, build quality, and deployment assumptions stay visible.

01

Clarify

Define the business outcome, users, constraints, risks, and non-negotiable quality gates.

02

Architect

Select a maintainable stack, data model, integration boundaries, deployment path, and review strategy.

03

Build

Use senior-led implementation with AI-assisted coding where it safely reduces repetitive development work.

04

Verify

Run code review, tests, build checks, performance review, security hygiene, and deployment readiness checks.

05

Transfer

Leave documentation, runbooks, environment notes, and repository structure that a team can operate.

Representative engagements

Representative B2B work patterns.

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

Replacing spreadsheet-heavy workflows with auditable software

Discovery, process modeling, secure web application delivery, role-based workflows, reporting foundations, and a backlog that business stakeholders can understand.

Cloud delivery

Preparing a product for Kubernetes operation

Docker build hardening, health checks, environment separation, ingress planning, secrets review, and operational documentation for a controlled rollout.

Delivery rescue

Stabilizing a stalled software initiative

Architecture review, backlog triage, risk isolation, critical path implementation, and senior technical governance over AI-assisted iteration.

Technology

Modern stack, conservative operations.

Tooling is selected for maintainability, hiring availability, deployment practicality, and long-term operational control.

TypeScriptReactNext.jsNode.jsPostgreSQLREST APIsDockerKubernetesNginx IngressCI/CDObservabilityAI coding workflows

Contact

Bring the business problem. We will challenge the technical path.

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.

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