Payment platforms, marketplaces, IoT analytics and AI systems
for startups and enterprises in fintech, healthcare, energy and automotive
A SaaS serving many companies had to take payments correctly when two customers check out at once, and keep each company's data sealed off. We hardened checkout against double processing, enforced tenant separation on the server and caught corrupted translations before users did.
An app where teams work with AI agents holds API keys, queued messages and settings - where a quiet bug does lasting damage. We fixed five defects that lost data or exposed secrets, from dropped messages to API keys leaking in streamed replies, each proven by a test first.
Payroll is where a small calculation error becomes a real payment. We built our own payroll system with exact part-month commissions, access that updates the moment a role changes, and business rules enforced on the server.
An automated image-generation workflow for a client product: structured requests become prompts, jobs are submitted through the GPT image API, and outputs are stored, reviewed and regenerated - without users working in ChatGPT.
A private AI system that generates UI concepts from development tasks on local AMD hardware - approving a grid and visual direction once, then keeping the same layout, palette and components on every page.
Custom Rust software that runs ONNX models on AMD GPUs through WSL/ROCm, splitting a local RAG workload across a discrete and an integrated GPU so search stays available while indexing runs.
An MCP platform with a dedicated test framework for tool quality and a bridge that lets local models on Ollama, ONNX and vLLM use sandboxed files, GraphRAG and code-RAG tools - up to 10x higher task effectiveness with models up to 32 GB.
A complete online and in-person payment infrastructure for an Angolan fintech startup, built on .NET and Azure by a 10-person RemSoft.Dev team over two years - now processing transactions across 25 banks.
An AI wellness logging and coaching app - chat-like meal, workout and weight logging with photo and barcode capture, and an AI coach with tool calling and memory - where a 500-case QA cycle raised the pass rate from 15% to 83.8% and a two-tier vision strategy cut image costs ~7×.
A code-intelligence platform combining LLM-generated semantic descriptions, Qdrant vector retrieval, PostgreSQL full-text search and Neo4j dependency graphs - so developers and AI agents can search large codebases by meaning, identifiers, call hierarchies and architecture.
An automated reply system for private messages and comments across Facebook, Instagram and TikTok, using retrieval-augmented generation for accurate, brand-consistent responses - with one abstraction over Claude, GPT and other providers for easy switching and cost control.
An AI analytics platform that scores real engineering effort per pull request - semantic task alignment, code constructs and change type rather than raw lines - tracks developer output over time and quantifies whether AI tooling actually improves delivery.
For a company with 100+ developers, an AI estimation and sprint-planning system - initialised on company data and refined after every completed task - reached ~90% agreement with the strongest developers' estimates after six months, cutting sprint planning to hours.
A client's four AI coding tools ran continuously against direct token APIs at unsustainable monthly cost. A redesigned execution layer with quota-aware routing across licensed subscription runtimes cut token cost roughly 1,000-fold - with no workflow change for developers.
A multi-agent development platform - Claude Code, Codex, Gemini and local LLMs orchestrated on .NET 10/Aspire - that takes Azure DevOps, Jira or free-text work items to specs, code, tests and pull requests under human approval gates. Proven on two commercial projects.
An application that helps concierges manage visitors, deliveries, announcements, pool and parking bookings and emergency notifications for residential buildings and hotels - modernised from .NET 4 to .NET 6 with Blazor, EF Core, MySQL and AWS.
Remote consultations, diagnosis, treatment and follow-up care through web and mobile applications - built on .NET 6 and .NET Framework 4.8 APIs, Azure Functions and Angular for one of Europe's leading university medical centres.
Architecture and delivery of enterprise-level healthcare management modules - patient management, clinical workflow automation and cross-department coordination - on C#/.NET with React and Angular front ends and SQL Server.
Continuous feature delivery on a microservices platform for a major US automotive services company: ASP.NET Core Web APIs, Svelte and React front ends, EF Core on MySQL, AWS, SonarQube quality gates and CI/CD on GitHub Enterprise.
A Blazor Hybrid desktop app, background Worker Services and central Web APIs on SQL Server with Microsoft Entra ID - giving a hardware company safe local firmware flashing with secure remote control, monitoring and synchronisation of device state.
A platform connecting startup founders, investors and well-networked connectors - RESTful and OData APIs plus a Blazor WebAssembly front end on the newest Microsoft frameworks - delivered by a 12-person team in four months.
A brand-new enterprise CRM for a Canadian company that buys and sells used cars, built from the ground up on .NET and Blazor - including automatic vehicle evaluation that cut valuation time by ten times.
A from-scratch solution for taxi operators that calculates optimal routes from real-time road conditions, passenger locations and trip costs, combines trips and serves passengers with disabilities - increasing available cars fourfold.
A scholarship-backed educational game with 10 activities and 300+ pages of content that improves children's pronunciation and rhythm - built with Electron.NET and Blazor for multiple platforms, and delivered up to three times faster than the client expected.
Augmentative and Alternative Communication (AAC) software on .NET and Windows 10, integrated with Tobii eye-tracking hardware and AI-based word prediction, giving people who have lost the ability to speak a reliable voice - a two-year build by a three-person team.
Sitecore 8.2 → 9.2 upgrade with a Helix structure, full Azure DevOps CI/CD and a development VM, followed by web and mobile versions of the customer account - one year, four people, for an energy company in Northern Europe.
Web and desktop applications built from the ground up to calculate optimal voltage-transformer configurations - hundreds of billions of computations, hundreds of gigabytes of logs - cutting specification time for customer equipment from two weeks to two days.
Custom sensors, PCB design and a .NET/Blazor platform that turn raw water-quality readings into near-real-time, actionable information for water utility operators - enabling real-time control of pollution over a two-year build by a four-person team.
A casino payment system suffering from high CPU, RAM and disk load, slow queries and manual deployments was cleaned up, re-architected for scale, moved from on-premise to Azure and put on automated pipelines - by a 10-person team over two years.
For a US sales-technology startup, a 12-person team built email plugins for Gmail, Chrome, Outlook and Office 365, iOS and Android apps, and two web applications - a CRM that let sales reps work four times faster, over a four-year engagement.
A Lithuanian marketplace for car parts, handling large volumes of data, got a new architecture built from scratch: faster for users, more users served, and a threefold reduction in the resources it consumed.
Tell us about it - we will show you how we approached comparable projects and what it would take.
