We modernise enterprise systems and make them intelligent.
Every .NET version since 1.1 in 2003. Still shipping on .NET 10.
Architected and led personally, every engagement. We build new systems, bring old ones forward, and wire AI into both.
✓ Free diagnostic · ✓ No obligation · ✓ Avg Response Time 24h
Where does your estate actually stand?
Forty-five minutes on your system, then a short written summary: which .NET version you are on, whether it is still supported, the two or three biggest risks, and whether modernising is worth doing yet.
- 45 minutes, with Anil, no obligation
- Written summary afterwards, yours to keep
- "Leave it alone for now" is a real answer
Question specifically about AI? Ask for the AI fit check instead.
Current Stack: .NET 10, Azure, Python & AI
Most AI Initiatives Don't Stall Because of the Models
They stall because the system they need to plug into was designed years before any of this existed. The model works. The integration is where the project dies — and that is a legacy problem, not an AI one.
Where the pilots actually die
There is no API to call. Authentication predates OAuth. The data the model needs is spread across a schema nobody documented and a reporting database that is refreshed overnight. The demo worked against a spreadsheet, and the production system is not a spreadsheet.
Why we are an odd fit for it, in a useful way
Working with .NET continuously since its first release — .NET 1.1 in 2003 — through to .NET 10 today. The firms that are fluent in current AI tooling are rarely the ones who have spent two decades inside the kind of .NET estate it has to attach to. Doing both is the whole proposition.
We Don't Publish a Retention Percentage
You would be right to discount one — and we would rather not publish a figure we could not evidence if you asked. Here are two engagements instead, and you are welcome to ask for a reference on either.
A UN counter-terrorism programme, supported across successive rounds of member-state onboarding.
A UK retail and hospitality client supported across multiple systems over several years.
Clients keep us because we're the ones who know why the system works the way it does.
About Softwiz
Built on 20+ years of .NET expertise, we build greenfield .NET products and maintain, modernize, and future-proof legacy systems, guided by a founder's journey from .NET Framework 1.1 to .NET 10.
Our Mission
To build new .NET products on .NET 8/10 for ambitious teams and to give pre-2012 .NET applications the expert maintenance and modernization they deserve, without disrupting the business they support.
Our Vision
A world where organizations can build new .NET products with confidence and treat existing systems as assets, not liabilities, working with specialists who span greenfield architecture and nearly two decades of legacy .NET.
Anil's .NET Journey: Every Era, First-Hand
Softwiz Infotech was founded in 2021. The timeline below is founder Anil Channa's own experience, from .NET 1.1 in 2003 to .NET 10 and AI today, the depth the company was built on.
Console & WinForms
C# 1.0, WinForms desktop apps, ADO.NET data access, and his first enterprise Windows applications.
WCF & WebForms
ASP.NET WebForms, WCF services, LINQ, Entity Framework, and complex enterprise web portals.
MVC & Web API
ASP.NET MVC, async/await, Web API, Parallel Framework, and the shift to RESTful architectures.
Framework Maturity
.NET Core cross-platform revolution, Blazor, gRPC, and large-scale enterprise microservices.
Modern .NET
Unified platform, Minimal APIs, Native AOT, cloud-native containers, and cross-platform excellence.
The AI Era
Python AI services — LangGraph agents, open-weight models, computer vision — wired into new .NET 10 builds and legacy apps alike.
Engineering that moves
businesses forward.
14 specialist services, from wiring AI into systems already in production, to building, maintaining and modernising the .NET underneath them.
AI, wired into systems already running your business
Bring LLM capability to systems that are already running your business: integrated, governed, and auditable, not bolted on.
AI Integration for Enterprise Systems
Python AI services wired into your existing .NET applications, with auth boundaries, cost control, and evaluation before anything ships.
Learn moreRAG Over Your Business Data
Retrieval-augmented generation over your documents and databases: hybrid search, reranking, and an honest answer on when retrieval is the wrong tool.
Learn moreAI Readiness Assessment
A fixed-scope, fixed-price engagement that tells you which AI use cases in your estate are actually viable and what they will cost to run.
$3,500 · 2 weeks · fixed scopeLearn moreBuild, maintain and modernise the .NET it all runs on
Working with .NET continuously since its first release — .NET 1.1 in 2003 — through to .NET 10 today. Most AI work only becomes possible once this part is in order.
Most people arrive knowing something is wrong rather than knowing which service fixes it. Start with the free diagnostic, or go straight to the assessment if you already know the estate is the problem — the AI work is usually the step after that one, not before it.
Systems that carry real weight.
Quote-to-cash billing for a UK B2B services company. Rostering and labour cost across a multi-venue hospitality group. A coaching platform running in production in Vietnam. Current builds, on .NET and React.
CRM & Billing
A full commercial-lifecycle platform for a UK B2B services company: quote, contract, engineer site visit, invoice, payment, credit note, bank reconciliation and reporting, plus a self-service portal for their own customers.
View case studyVenue Operations
A multi-venue platform for a bar and pub group: rostering, clock-in, timesheets and labour cost for managers, with a React Native app for staff to check their schedule, request time off and swap shifts.
View case studyElev8 Performance
A multi-sided training and studio management platform for a Vietnam-based performance coaching business, built on .NET and React with three payment providers and an installable web app.
View case studyReferences, Not Testimonials
We do not publish client quotations. Most of our work sits under NDA, and a testimonial you cannot verify is worth very little to you anyway. What we will do instead is arrange a direct conversation with someone who has worked with us, so you can ask the awkward questions without us in the room.
Ask for a referenceStay ahead of the curve.
Practical guides, migration strategies, and lessons learned from 20+ years of .NET development.
AI in Regulated Systems: The Audit Trail Comes First
Every financial services firm we speak to in 2026 has an AI initiative somewhere on the roadmap. Most of them are technically feasible. A meaningful number are quietly undeployable, not because the model performs badly, but because nobody worked out how the firm would explain a single decision to a regulator eighteen months after it […]
Read more ›
Clean Architecture in .NET: Where It Earns Its Complexity
Clean architecture has become close to a default recommendation for new .NET projects, and for good reason: separating domain logic from infrastructure concerns makes a codebase easier to test and easier to change later. It also adds real ceremony: more projects, more interfaces, more indirection between a request coming in and a database row being […]
Read more ›
WebForms to Blazor: A Realistic Migration Path, Not a Rewrite
WebForms applications have a reputation problem. They are old, the tooling around them has quietly stopped improving, and every conference talk assumes you have already left. None of that changes the fact that a lot of WebForms applications are still running real logistics and operations businesses today, reliably, and a full rewrite is rarely the […]
Read more ›Ready to Modernise, AI-Enable, or Maintain Your .NET Systems?
Start free: a 45-minute call and a short written summary of where you actually stand. Serious about a change already? Go straight to the fixed-scope assessment and get a written answer in two weeks.