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Artificial Intelligence at BearStudio
AI is profoundly transforming how we design, develop, and use digital products. At BearStudio, we take a pragmatic, results-oriented approach to artificial intelligence: no buzzwords, just concrete solutions that deliver real value to your users and your business.
Our expertise covers the full spectrum of AI applied to product development: from designing AI-integrated interfaces (chat, content generation, smart suggestions) to LLM solution integration (RAG, autonomous agents, APIs) and AI-assisted development with tools like Claude Code, Cursor, and GitHub Copilot.
We don't just plug in an API: we think about user experience, technical architecture, use case relevance, and the real cost of AI solutions. Our goal is to help you get the best out of AI, where it truly makes sense.
Let's talk AI
Let's discuss your AI projects and find the best solutions for your needs together.
Our AI expertise
Whether you want to rethink your interfaces to integrate AI, connect LLMs to your existing products, or accelerate your development with AI tools, we bring our hands-on expertise and product vision to the table.
UX & AI
Designing AI-integrated interfaces that feel natural and intuitive. We craft new interaction patterns: conversational chat, content generation, smart suggestions, semantic search, and guide your users in adopting these new experiences.
AI solution integration
Integration of LLM APIs (OpenAI, Anthropic, Mistral), implementation of RAG (Retrieval-Augmented Generation) pipelines, development of autonomous agents, and connecting AI to your existing products. We master the technical architecture needed for reliable and performant AI solutions.
AI-assisted development
We use Claude Code, Cursor, GitHub Copilot and other AI tools daily to accelerate our development. We share our methodology, best practices, and train your teams to get the most out of these tools to boost productivity without sacrificing code quality.
Our AI team
Our approach to AI
At BearStudio, we're not AI evangelists: we're practitioners. We use AI every day in our projects, which allows us to clearly distinguish what works from what's just marketing.
Our approach is based on three principles: pragmatism (AI should solve a real problem, not be a gimmick feature), quality (a poorly designed AI product is worse than no AI at all), and transparency (we'll tell you if AI isn't the right solution for your use case).
We combine our expertise in UX design , web development , and mobile development with our mastery of AI technologies to create complete, coherent, and truly useful products.
Frequently asked questions about our AI services
Find answers to the most common questions about our artificial intelligence services.
What types of AI projects do you support?
We support a wide variety of AI-integrated projects:
- Chatbots and conversational assistants integrated into your web and mobile products
- Semantic search and embedding-based recommendation systems
- RAG pipelines to query your documents and internal knowledge bases
- Autonomous agents capable of executing complex tasks
- Content generation (text, images) integrated into your workflows
- AI-augmented internal tools for your teams
What AI technologies do you use?
We work with the leading language model providers: OpenAI (GPT-4), Anthropic (Claude), Mistral , and others as needed. For infrastructure, we use solutions like LangChain, Vercel AI SDK, pgvector for vector databases.
For AI-assisted development, we daily use Claude Code, Cursor, GitHub Copilot and have developed workflows and best practices that we share with our clients.
How do you design AI interfaces?
Designing AI interfaces is a real UX challenge. Classic patterns are no longer enough: we need to invent new ways of interacting with probabilistic systems.
Our UX design team works hand in hand with our developers to create interfaces that handle uncertainty, response times, errors and deliver a smooth experience despite the non-deterministic nature of AI.
What does an AI project cost?
The cost of an AI project depends on several factors: use case complexity, data volume, model selection, and required infrastructure.
A POC (Proof of Concept) can be done in a few days to validate feasibility. A complete product with AI integration typically requires several weeks to a few months of development.
We help you evaluate recurring infrastructure costs (API calls, tokens, hosting) so you have a clear picture of the total cost of ownership before committing.
How does AI-assisted development change the way you work?
Tools like Claude Code and Cursor have fundamentally changed our development workflow. We use them to accelerate code writing, refactoring, testing, documentation, and debugging.
The result: a significant productivity gain on repetitive tasks, allowing us to focus more on architecture, quality, and user experience. We always maintain a critical eye on generated code: AI is a powerful tool, but human review remains essential.
We can train your teams on these tools and help them set up effective workflows to get the most out of them.
Why choose BearStudio for your AI projects?
Because we're not an AI agency: we're a product agency that masters AI. The difference is fundamental: we don't think "technology" first, but "user problem" first.
Our strength is combining UX design, development, and AI within the same team. We know how to design complete experiences, not just plug a model into an interface.
Finally, we use these tools ourselves every day. Our feedback isn't theoretical: it's based on real projects where we've integrated AI into our processes and products.