About Inwedo

Inwedo empowers enterprise innovation by delivering tailored software solutions using deep expertise in .NET, ASP.NET, and C#. From concept validation to full-scale implementation, we help companies harness the Microsoft ecosystem and AI to create scalable, future-ready systems aligned with their unique business goals.

Our services include product development consulting, AI-driven solutions, custom software development, technical audits, quality assurance, and long-term maintenance. We also modernize and optimize existing .NET systems to unlock new opportunities for efficiency and growth.

We specialize in fine-tuning models, managing inference, and integrating AI with internal knowledge bases, focusing on NLP, LLMs, and ML within .NET-based systems. Our expert team refines concepts and ensures feasibility with open-source models while customizing AI for specific use cases. This approach enables our clients to accelerate product development, test innovations risk-free, and achieve measurable results within their organizations.

With a proven track record across industries like manufacturing, construction, IT, education, and retail, we blend technical expertise with a client-first approach. Whether you’re enhancing an existing solution or building one from scratch, Inwedo provides tailored services that deliver measurable results and long-term value.

Locations

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Headquarter
  • Location

    Wólczanska 143 Lodz Lodzkie Poland 90-525

Certificate

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Focus Area

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Inwedo's Technical Expertise

C# 30%
.NET 50%
ReactJS 20%

Focus Client

  • Small Business (<$100000) 15%
  • Medium Business ($100001 - $500000) 40%
  • Large Business (>$500000) 45%

Inwedo's Industry Expertise

  • Information Technology 20%
  • Food & Beverages 20%
  • Manufacturing 15%
  • Consumer Products 5%
  • Education 5%
  • Financial & Payments 5%
  • Government 5%
  • Hospitality 5%
  • Real Estate 5%
  • Transportation & Logistics 5%
  • Retail 5%
  • Industrial 5%

Portfolio

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AI-powered decision support system for environmental and land management

Inwedo collaborated with Informed Solutions, a UK-based company, to support the development of an AI-driven decision support system designed to improve environmental management and land planning. Acting as a team extension, Inwedo contributed to web development, application testing, and enhancing the platform's scalability. The solution utilizes advanced technologies such as .NET and AWS, ensuring robust performance and cloud-based reliability. Core features: Data science module: Based entirely on microservices, this module analyzes documents and keywords related to cases, processing information about protected areas and species. Using AI techniques, it identifies similar cases, enabling consistency and efficiency in decision-making. Dynamic application form: Guides external users step-by-step through the application process, adjusting to specific requirements. It advises on proposal correctness and provides real-time information about the area to which the proposal applies. Flexible and configurable design: The system is easily adaptable to meet the needs of different clients and use cases without requiring bespoke development, making it highly versatile. Results delivered: Enhanced decision-making: AI-powered insights streamlined environmental and land management processes. Improved user experience: Dynamic forms simplified the application process, ensuring user-friendly navigation for external users. Scalability and flexibility: The configurable design allows the platform to cater to diverse client needs and grow with future demands. Consistency and efficiency: The data science module ensured accuracy and reliability by analyzing and cross-referencing data effectively. By acting as an integral part of the development team, Inwedo contributed to creating a scalable, intelligent platform that supports informed environmental and land-use decisions while fostering sustainability. Read More

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Industry

Information Technology

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Budget

Not Disclosed

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Timeline

Weeks

AI-powered decision support system for environmental and land management

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