Software & AI engineering studio
We design and build websites, mobile apps and digital products with AI-powered engineering workflows, and we create MCP servers so models like Claude or ChatGPT can look up, decide and act inside your systems.
Which orders are delayed today? Let the customers know.
erp.orders.search{ status: "delayed", date: "today" }crm.customers.get{ ids: [1042, 1057, 1093, 1108] }email.send{ template: "delay-notice" }I found 4 delayed orders and drafted a notice for each customer. Shall I send them?
Services
We build websites and mobile apps at the speed of AI, and we create software so AI can do real work in your company.
Websites, web platforms, APIs, internal tools and SaaS products. We bring AI into the whole engineering cycle to ship faster, with human review, tests and quality standards at every step.
Fast, easy-to-use iOS and Android apps, connected to your systems and ready to ship on the App Store and Google Play. One codebase to reach both platforms.
We connect language models to your ERP, CRM, databases and workflows. Your teams ask the AI for what they need and it carries out business operations with scoped permissions and full traceability.
Agents for support, operations and sales; search over your documents (RAG); classification and data extraction. We measure quality with evals so they work in production, not just in the demo.
Model Context Protocol
MCP is the open standard that lets AI assistants use external tools. An MCP server exposes your company’s operations as safe actions the model can call: check inventory, create a quote, record a payment or open a ticket.
Build the server once and it works with any MCP-compatible client.
Each tool defines what data the model sees, what it can do and what needs human approval.
Every call is logged: who asked, what ran and what came back.
What your teams will be able to ask
Process
We learn your operation, your systems and which business outcome we will move.
We design the solution, the AI integration map and the security boundaries.
Short cycles with frequent demos. You see real progress every week.
Monitoring, evals and continuous improvement once in production.
How we work
Least privilege, well-kept secrets and human approval for sensitive actions.
AI speeds up the work; important decisions stay with your team.
We set success metrics up front and evaluate the quality of every agent.
The code and infrastructure are yours. Documented and ready for your team to own.
Technology
Web & mobile
Backend
AI
Cloud
FAQ
It is a service that exposes your business operations (look up, create, update) as tools an AI model can use. It lets your teams work with AI on real data and processes instead of copying and pasting information.
No. Each tool defines exactly what information it can read and which actions it can perform. Sensitive operations can require human approval, and everything is logged.
With the leading models, such as Anthropic’s Claude and OpenAI’s models, and with any MCP-compatible client. We choose based on the use case, cost and privacy requirements.
The opposite. AI speeds up repetitive work and leaves more time for architecture, testing and review. All code goes through human review and automated tests.
It depends on scope. A first MCP server or a working prototype is usually ready in a few weeks; full products ship in stages so you see value from the start.
Tell us what you want to build or which process you want to automate. We will reply with a clear proposal for next steps.