Our Services

From Idea to Production,
One Engineering Team

Bespoke software, AI solutions and agents, private and local AI, AI engineering enablement, forward-deployed engineers, cloud and on-premise infrastructure, and legacy modernization - in the stack your problem needs

AI Engineering Enablement

We help your developers use coding agents safely and productively - with the tools and process we use on our own work: independent multi-vendor review, human approval gates, and credentials agents never see.

  • AI discovery for your engineering team
  • Independent review gate: ConnectOtherAIs
  • Agent access without secrets: CredsForDevs
  • Team rules, workflow and approval gates
  • Hands-on training on your own codebase
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AI Engineering Enablement

Private & Local AI

We run AI models on your own servers or hardware, so sensitive data never leaves your control - for GDPR, regulated industries and anyone who cannot send data to a US cloud.

  • AI discovery for private AI
  • Model selection and hosting: Ollama, vLLM, ONNX
  • Search and RAG over internal documents
  • Hardware sizing, including AMD GPUs
  • Hybrid routing: local for sensitive work, cloud where allowed
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Private & Local AI

Bespoke Software Engineering

We turn a business problem into working software - web, desktop, mobile or backend - and choose the stack for the problem, not the other way round. 200+ projects since 2017.

  • Discovery and architecture
  • Web, desktop and mobile applications
  • APIs and integrations
  • AI-accelerated delivery, independently reviewed
  • Support after launch
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Bespoke Software Engineering

Legacy Modernization

Legacy isn't old code - it's a system the business depends on but can no longer change safely. We use AI to map what it really does, then replace it piece by piece without stopping the business.

  • AI-assisted mapping of what the system really does
  • Tests around today's behaviour first
  • Step-by-step replacement, never a big-bang rewrite
  • Data migration
  • Performance and security rescue
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Legacy Modernization

Cloud, DevOps & On-Premise

We build and run the infrastructure your software needs - public cloud, your own data centre, or both - including hosting for private AI models.

  • Azure, AWS, Google Cloud
  • On-premise and hybrid setups
  • CI/CD, infrastructure as code, containers
  • Migrations in both directions
  • GPU hosting for private AI models
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Cloud, DevOps & On-Premise

Forward-Deployed Engineering

Our senior engineers work inside your operations, learn how the work is really done, and ship software against your actual workflows. Remote by default, on-site for up to a month.

  • Senior engineers embedded in your team
  • Workflow discovery with the people who do the work
  • Shipping to production with your team
  • Remote by default, on-site up to one month
  • Billed hourly or as a project in man-days
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Forward-Deployed Engineering

AI Solutions & Agents

We build AI into your product and processes - agents, answers from your own documents, automation and generative features - with whichever model fits: OpenAI, Anthropic, Google or open-weight.

  • AI discovery: find where AI pays off
  • Agents and tool-using workflows
  • Answers from your own documents (RAG / GraphRAG)
  • Generative text and image features
  • Cost, latency and quality optimization
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AI Solutions & Agents

Our Tech Stack

The stack follows the problem. These are the technologies behind our published work - .NET, where our experience runs deepest, among them

.NET
.NET
C#
C#
Azure
Azure
SQL Server
SQL Server
TypeScript
TypeScript
React
React
Docker
Docker
Kubernetes
Kubernetes
PostgreSQL
PostgreSQL
Blazor
Blazor
Angular
Angular
AWS
AWS
Google Cloud
Google Cloud
MySQL
MySQL
Python
Python
Node.js
Node.js
Svelte
Svelte

Frequently Asked Questions

Direct answers about how we work

What does RemSoft.Dev do?

RemSoft.Dev is a remote software engineering company that has solved business problems with software since 2017, with 200+ projects delivered. We build web, desktop, mobile and AI systems in the stack each problem needs, across seven services: bespoke software engineering, AI solutions and agents, private and local AI, AI engineering enablement, forward-deployed engineering, cloud, DevOps and on-premise infrastructure, and legacy modernization. The company is based in Vienna, Austria, with engineering primarily in Ukraine.

How do you make sure AI-written code can be trusted?

Every plan and every code change passes three checks. AI agents write and test the code. Models from other vendors - Codex, Gemini, a second Claude or a local model - review the plan before coding and the changes after, through our ConnectOtherAIs review gate. Then a senior engineer approves the result. Across 1,087 review rounds, reviewers from different vendors overlapped on only 5-9% of their findings, so each one catches problems the others miss. You receive normal, tested, reviewable code.

Which technologies do you work with?

We choose the technology for the problem. .NET is where our experience runs deepest and appears in most of our published case studies. Our published work also uses Rust, Python, TypeScript, Angular, React, Svelte and Node.js, on Azure, AWS, Google Cloud or your own servers. For AI we are model-agnostic: OpenAI, Anthropic, Google, or open-weight models running locally through Ollama, vLLM or ONNX.

What is forward-deployed engineering, and do you work on-site?

Forward-deployed engineering means our senior engineers work inside your operations, in your tools, channels and meetings. They learn how the work is really done and build software against those real workflows, together with your team. They work remotely by default and come on-site for up to one month when the client covers travel and accommodation, typically for kickoff, discovery or a critical launch. It is billed by the hour, or as a project priced in man-days. More about forward-deployed engineering.

Can you run AI on our own servers, without sending data to the cloud?

Yes. We host open-weight models on your servers or workstations through Ollama, vLLM or ONNX, build search over your internal documents, and size the hardware, including NVIDIA and AMD GPUs. Your documents, code and customer data never go to an external AI provider. We run our own development this way: in our tests, a tool bridge we built made local AI agents up to 10x more effective. More about private and local AI.

How do we start a project, and what does AI discovery include?

With a short call about the problem, followed by a written proposal with scope, timeline and price. Work starts only after you approve it. For AI projects, the first step is usually AI discovery: a short, fixed-scope, paid engagement that checks which uses of AI pay off, whether they work with your data, whether to build or buy, what it will cost to run, and which data and compliance rules apply. It ends with a written recommendation and an estimate.

Who owns the code and intellectual property?

You do. All code, designs and documentation produced for your project are transferred to you in full under the contract. The same applies to code written with the help of AI agents.

How does remote collaboration work with RemSoft.Dev?

We work with an overlap in your time zone, daily written updates, a shared task board and weekly demo calls, so you always see what is being built and why. A project manager is your single point of contact, and time tracking is open for you to inspect. When being in the room matters, engineers come on-site for up to one month, with travel and accommodation covered by the client.

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