Our Services.
Your business faces complex challenges - our services are designed to meet them with elegant, effective digital solutions.
We partner with you to transform your vision into a powerful, tailor - made software asset.
Custom Software Development
This service is the core of arctec's offering. It involves creating unique, bespoke software applications that are precisely tailored to address the distinct challenges and workflows of a client's business, especially those in the AEC sector.
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Focus on Differentiation: Instead of using off-the-shelf software, custom development ensures the final product aligns perfectly with unique processes (e.g., specialized design validation, complex project management, or niche material tracking).
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Full Lifecycle Management: This includes everything from initial concept and requirements gathering to coding, testing, deployment, and post-launch optimization.
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Key Deliverables: Tools like project management platforms, field data collection apps, specialized design automation scripts, or internal resource planning systems built from the ground up.
UI/UX Design
User Interface (UI) and User Experience (UX) design focuses on making the custom software not just functional, but also intuitive, efficient, and enjoyable to use. In AEC, this is crucial for field teams and engineers who need quick, reliable access to information.
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User Research and Persona Development: Understanding who the end-users are (e.g., architects, site managers, structural engineers) and designing the software around their specific needs, cognitive load, and work environment.
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Interface Design: Creating the visual elements of the software—layout, buttons, color schemes, and typography—to ensure clarity and brand consistency.
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Workflow Mapping: Optimizing the steps a user takes to complete a task (e.g., checking a blueprint or submitting an inspection report) to minimize clicks and reduce errors, thus improving field productivity.
Data Analytics &
Power BI Design
This combined service helps AEC firms leverage their vast amounts of project and operational data to drive strategic insights and optimize performance.
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Data Aggregation and Cleaning: Collecting raw data from disparate sources (BIM models, financial systems, project schedules) and transforming it into a clean, unified structure.
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Performance Monitoring: Creating key performance indicators (KPIs) to track project health, budget adherence, resource utilization, and risk exposure.
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Power BI Specialization: Using Microsoft Power BI to design sophisticated, interactive dashboards and reports that allow users to drill down into data, visualize trends, and gain actionable intelligence at a glance.
Process Automation
Process automation utilizes technology to streamline and execute routine, high-volume tasks that traditionally require manual effort.
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Efficiency Gains: The goal is to remove repetitive tasks from skilled employees, allowing them to focus on high-value work (e.g., design, problem-solving, client relations).
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Specific Examples in AEC: Automating report generation, standardizing document control and distribution, or automatically extracting data from submittal documents.
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Consistency and Compliance: Automated processes ensure tasks are executed the same way every time, reducing human error and aiding regulatory compliance and quality assurance.
Integration of third-party services
Modern businesses rely on a diverse set of specialized software tools. This service ensures that new custom solutions can communicate seamlessly with existing applications.
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API and Connector Development: Building bridges (Application Programming Interfaces or APIs) between internal systems and external software like BIM platforms (Revit, Civil 3D), ERP systems (SAP, Oracle), or common tools like Microsoft 365.
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Data Synchronization: Ensuring critical information (e.g., material inventory, scheduling updates) is consistent and up-to-date across all platforms without manual double-entry.
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Avoiding Data Silos: Creating a unified data ecosystem where information flows freely, preventing the creation of isolated "data silos" that hinder collaboration.
AI Integration
Artificial Intelligence (AI) and Machine Learning (ML) integration moves beyond simple automation to introduce intelligent capabilities into software solutions.
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Predictive Analytics: Using ML models to forecast outcomes, such as predicting potential project delays, cost overruns, or equipment failure based on historical data.
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Intelligent Automation: Incorporating AI for tasks like image recognition (e.g., analyzing site photos for safety hazards or progress tracking) or natural language processing (e.g., automatically categorizing incoming emails and documents).
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Generative Design: Utilizing AI to explore design possibilities and optimize layouts or material usage based on defined parameters (a common application in AEC).
Maintenance and Upgrades
Post-launch support is vital to ensure the long-term viability and security of a software asset. This service covers the ongoing health of the custom-built application.
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Proactive Monitoring: Continuous oversight of system performance, server health, and security vulnerabilities to prevent downtime.
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Bug Fixes and Troubleshooting: Quickly identifying and resolving any issues or defects that arise during operation.
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Feature Evolution: Implementing updates, scaling the system as the business grows, and adding new functionality based on changing user needs or new technological capabilities.
Technical Research & Consulting
This advisory service leverages arctec's deep technical expertise to help clients make informed strategic decisions about their technology roadmap.
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Feasibility Studies: Evaluating the technical and financial viability of new software ideas before development begins, including proof-of-concept creation.
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Technology Roadmapping: Helping businesses define a clear, multi-year plan for their digital transformation, identifying the best technologies and platforms to invest in.
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Technical Due Diligence: Providing expert evaluation of existing software architecture, third-party vendor solutions, or potential technical risks within a project.

