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Software Development Company

Inwedo

Software company building .NET and AI systems for mid-size businesses, from prototypes to legacy modernisation

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About Inwedo

Software built around the client's data

Inwedo builds software for mid-size companies whose records are scattered across spreadsheets and systems that can no longer keep up. Its teams work through analysis, design and development, then put the result into the systems a client already uses, so one group carries a project from the first conversation to a finished product. The company centres its work on .NET and artificial intelligence, and it reports that it takes responsibility for the whole project rather than passing parts of it to other contractors.

Four situations that bring clients in

Clients tend to arrive with one of four problems. Some want to organise their data and start using AI. Others need to recover an implementation that failed or stalled. A third group is trying to connect systems that do not work together, and a fourth wants to replace older applications gradually. Inwedo's stated aim in each case is to bring order to operations, support better decisions and let a business grow without losing control of its processes.

AI and process automation from a working prototype

Inwedo reports that it can take a company from an AI idea to a working prototype and a written business case in four weeks. Its AI work covers machine learning and generative models that improve forecasts, automate complex workflows and streamline supply chains. Process automation targets repetitive tasks and the slow or error-prone steps in a process, and AI-based monitoring watches critical operations so that faults are flagged early and downtime falls.

Data integration and staged modernisation

Data integration joins multiple systems into one connected store that AI tools can draw on, and it leaves the existing systems in place. Legacy modernisation follows the same principle. Old applications are replaced in stages, so operations carry on while the parts holding the business back are rebuilt. The company offers BridgeAI, which connects a company's tools to AI models, and Inwedo Continuum, a route for modernising legacy systems without rewriting them from scratch.

Rescue, audits and support for .NET systems

When a project has stalled or disappointed, Inwedo brings it back under control. For organisations that already run .NET systems, it offers in-depth audits that find bottlenecks and show where workflows can be streamlined and delivery sped up. After a system goes live, the company provides maintenance and support, and it describes its approach as one team covering the full product lifecycle from analysis through implementation.

Case work in construction, food production and events

Inwedo's published examples include a project-management application for a global building and construction group, which brought all of its administrative processes into one application. Another involved data-assisted production planning for an ultra-fresh food producer, with the stated goal of reducing food waste. A third was an event networking product that lets participants lead and join discussions.

Stack and team

The company works mainly with .NET and C#, and it lists Azure and AWS among its cloud platforms. Its team covers front-end and back-end development, quality assurance and design, so a client can hand over a project from start to finish.

TrustList summary

Inwedo is a software development company specialising in .NET and artificial intelligence. It works with mid-size businesses whose data sits in scattered spreadsheets and systems, taking responsibility for a project from the first conversation.

What Inwedo offers

  • AI and process automation: reducing repetitive work and bringing AI into slow or error-prone processes, starting with a working prototype and a business case.
  • Custom software: products built from analysis and design through development.
  • Project rescue: getting stalled or disappointing implementations back under control.
  • Data integration: joining several sources into a single layer that AI tools can use.
  • Legacy modernisation: replacing old systems in stages without stopping operations.

Customers and markets

Companies wanting to organise data, adopt AI, connect separate systems or recover from a failed implementation. Past case studies cover construction, food production and administration platforms.

Key facts

  • Technology: .NET and enterprise-grade tools
  • Delivery: a single team covering the full product lifecycle

Summary written by TrustList from the business's own published information, Nov 2026.

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