AI Development
AI Development
AI development studio building production-ready AI applications, agents and SaaS systems. We turn business challenges into working intelligent products — from strategy to deployment.
Who it's for
- Companies that want to bring AI into their products and processes
- Startups that need a production-ready AI MVP
- Businesses with data but no in-house AI engineering
Outcome
- A production-ready AI system that is deployed and working
- Clear architecture: models, data, integrations
- Your team gets a maintainable AI product
Problems it solves
AI without an engineering foundation delivers no results: prototypes die, integrations break, and support costs grow. We solve these problems systematically.
Who it's for
Laptop prototypes never become working products
LLM calls get expensive without control and monitoring
No engineering base for AI: infrastructure, tests, deployment
AI features are not integrated into existing business processes
It's unclear which data is needed and how to prepare it
When you need it
You want to ship an AI product, not a demo
AI must become part of your core business process
You need a reliable architecture: agents, RAG, integrations
An existing system requires AI modernization
Approach
A single process for every AI project: from research to production. No endless prototypes.
01
Discovery
Research, requirements and AI opportunity analysis
02
Architecture
AI system design: agents, RAG, data layer
03
MVP
Working product delivered in weeks, not months
04
Production
Deployment, monitoring, scaling and iteration
Technical expertise
The real stack our AI systems and products are built on.
OpenAI / Claude / Gemini
LLM integration and model selection per task
OpenRouter
Unified model access and cost management
RAG
Working with corporate knowledge and context
AI Agents
Multi-agent systems for complex processes
React / Next.js
Production-ready frontend and SSR
PostgreSQL
Reliable storage and analytics
Expert articles
How we approach this in our own products — from the knowledge base.
FAQ
What does production-ready AI development mean?
A system that works in production: deployed, monitored, scalable and maintained. Not a demo or prototype, but a product with tests, CI/CD and LLM cost control.
Which models do you use?
OpenAI, Claude, Gemini — the choice depends on the task. Through OpenRouter we can switch models without rewriting code and keep costs under control.
How fast can we see the first result?
Usually within 2-4 weeks of kickoff we show a working MVP. A full production-ready product takes 6 to 12 weeks depending on complexity.
Do you work with our data?
Yes. We design data pipelines, integrations and RAG systems on your infrastructure. NDA is available, and data is never used for training without explicit permission.
What if we don't have an AI team?
That's not a problem. We cover the full cycle: architecture, engineering, deployment, documentation. Your team gets the system and a transferable codebase.
How much does AI system development cost?
It depends on complexity and scope. You can start with an AI strategy or prototype from $1,500-3,000. Full products are discussed individually after task analysis.