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What we do

Expertise overview

We deliver custom software for enterprises where technology is operationally critical. From architecture and development through deployment and long-term maintenance — structured delivery, transparent execution, and full pipeline ownership.

Custom software development process

Custom Software Development

We manage the full software delivery pipeline for businesses where software is operationally critical — from requirements and architecture through development, QA, deployment, and long-term maintenance.

To Custom Software Development

Enterprise system modernization

Enterprise Solutions

We modernize, integrate, and digitize the systems your operations depend on — replacing legacy platforms, connecting disconnected tools, and turning manual processes into structured, auditable software.

To Enterprise Solutions

AI solutions engineering

We build generative AI into enterprise systems — LLM features, retrieval over your own data, and agentic workflows — scoped, evaluated, and access-controlled like any other production software.

To AI Solutions

What expertise do you need?

Custom Software Development

We deliver the full software pipeline — requirements, architecture, development, QA, deployment, and maintenance — for enterprises where delivery maturity and long-term reliability are non-negotiable.

Enterprise Solutions

The systems behind your operations — legacy modernization, system integration and APIs, process digitization, data migration, and reporting for organizations where software must stay auditable and maintainable over years.

Technology Consulting

We help enterprise teams define architecture direction, plan delivery roadmaps, assess vendors, and structure technical strategy before committing to large-scale investment.

Self-Service Portal Development

We build structured digital self-service platforms that replace manual operational processes, reduce support burden, and give customers reliable direct control over their interactions.

Web Development

The web layer your people and clients work in — enterprise web applications, client and partner portals, and internal tools, built on frontend architecture that holds up on performance, accessibility, and access control.

We build generative AI into enterprise systems — LLM features, retrieval over your own data, agentic workflows, and the MCP integration layer underneath — scoped, evaluated, and access-controlled like any other production software.

Nearshore Software Development for Danish Companies

Toughlex delivers nearshore software development for Danish businesses from Lithuania — same time zone, cultural alignment, EU/GDPR compliance, and senior engineering teams ready to integrate with your delivery process.

We deploy and manage enterprise workloads on AWS — scalable, secure, and production-grade cloud infrastructure for systems where reliability and uptime are operationally critical.

We build performant, component-driven interfaces in React — from customer-facing portals to complex internal tools that require speed, responsiveness, and long-term maintainability.

Angular is our framework of choice for building structured, maintainable enterprise frontends — particularly well-suited to complex forms, dynamic workflows, and large-scale internal platforms.

We build responsive, maintainable frontends in Vue.js — a practical choice for self-service portals, customer-facing platforms, and enterprise web applications that need clean, scalable UI architecture.

We use Node.js for high-throughput backend services and API layers where event-driven, non-blocking performance matters — particularly in integration-heavy or real-time enterprise systems.

.NET is our primary backend platform for enterprise custom software delivery — reliable, scalable, and well-suited for regulated environments, complex business logic, and long-term system ownership.

We use Kubernetes to orchestrate containerized enterprise workloads — enabling reliable deployments, automated scaling, and operational resilience for complex distributed systems.

Model Context Protocol (MCP) is an open standard for connecting AI models to tools and data — the integration layer that gives AI assistants controlled, auditable access to enterprise systems.

Agile Methodology

Agile delivery gives enterprise teams the structure to move fast without losing control — iterative progress, continuous feedback, and the flexibility to adapt as requirements evolve.

Ready to make software delivery predictable?

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