AI is changing the world. It’s breaking barriers, reshaping industries, and redefining how we interact with knowledge. But something is off.
AI is everywhere. It’s being sold as a silver bullet, a magic wand that can transform businesses overnight. Just plug in your data, open the floodgates, and let a massive model—trained on everything from astrophysics to medieval poetry—make decisions for you.
The race to build bigger, more complex models has led to a paradox—AI that knows everything but understands too little. Models so vast they absorb the entire internet, yet so clumsy they struggle with precision. Companies are handing over their data to black-box systems, hoping for insights but getting unpredictable outputs, hallucinations, and a loss of control instead.
This isn’t the AI we believe in.
We believe AI should be sharp, not bloated. It should be precise, not reckless. And above all, it should work for you—not the other way around.
We see a different future. A future where AI isn’t measured by size but by efficiency, accuracy, and real-world impact. Where businesses don’t need to rely on massive, generalist models filled with irrelevant knowledge, but instead have lean, specialized AI designed to truly serve their needs.
Imagine AI that is tuned to you, not the entire world. AI that doesn’t just regurgitate information but retrieves, filters, and reasons. AI that thinks before it speaks. AI that helps us make decisions faster, smarter, and more responsibly—without compromising privacy, without bloating infrastructure, and without sacrificing control.
At Unconventional Wisdom, we are building that future.
We don’t chase the biggest models, the flashiest trends, or the latest hype. We build intelligent, controlled AI solutions that truly understand your business, retrieve only the knowledge that matters, and deliver insights without compromising security.
We believe that in the future, the world will not run on massive AI models—it will run on smart, efficient, and purpose-driven AI. AI that works for people, for businesses, for progress.
Not bigger. Smarter.
Not black-boxed. Transparent.
Not reckless. Reliable.
This is the unconventional path. This is AI done right.
This is Unconventional Wisdom.
Answers to questions you might have about Unconventional Wisdom.
Unconventional Wisdom is an AI Engineering Studio that builds secure, agentic AI solutions tailored to your business needs.
We specialize in creating conversational AI applications that integrate with your private data without exposing unnecessary information to external LLMs. Our solutions leverage Retrieval-Augmented Generation (RAG), agentic workflows, and orchestration layers to ensure AI delivers relevant, structured, and actionable insights—all while keeping you in control.
We work with companies that need intelligent AI solutions (mainly for their internal teams) without waiting years for results. Whether you need a custom AI assistant, a database-driven chatbot, or an enterprise AI interface, we design and deploy solutions that work on your terms.
An abstraction and orchestration layer is the intelligent middleware that sits between your data, AI models, and user interactions. It ensures that AI doesn’t blindly access raw data but instead retrieves, structures, and processes it efficiently before generating responses.
• Abstraction – Controls how much and what type of data is shared with an LLM, reducing unnecessary exposure and improving security.
• Orchestration – Manages the flow of AI reasoning, allowing multi-step workflows, tool integrations, and structured decision-making before a final answer is generated.
In practice, this means instead of simply sending user queries to an LLM, we retrieve relevant information, structure reasoning steps, and ensure AI responses are accurate, contextual, and aligned with business needs.
We don’t follow a one-size-fits-all tech stack—instead, we select the best tools and frameworks based on each client’s specific needs. However, our core technology choices include:
• Python – Our primary language for AI development.
• FastAPI – For building high-performance, scalable backends.
• LangGraph & LangSmith – For agentic workflows, structured reasoning, and AI monitoring.
• Ollama – For running and managing local LLMs when privacy is a priority.
• Hetzner – Our preferred infrastructure provider for reliable and cost-effective cloud hosting.
This adaptable approach ensures that we always deliver the most efficient and tailored AI solutions
No, we are not limited to a single LLM provider. Since most of our workflows and agentic systems are built using LangChain, we support all LLMs that LangChain integrates with, giving our clients flexibility in model selection.
If you require a specific model that is not natively supported by LangChain, we can explore alternative solutions, including custom integrations using Ollama for local or specialized deployments. Our goal is to ensure you have the right AI model for your needs, whether hosted externally or deployed privately
Our process is structured into three key phases to ensure a seamless and effective implementation:
1. Discovery Phase – We collaborate with our clients to understand their specific challenges and assess whether our AI solutions are the right fit. If so, we evaluate the data sources that will serve as the application’s knowledge base, ensuring they are sufficient to meet expectations.
2. Development & Implementation Phase – In this stage, we design, build, and refine the conversational AI application. Early testing and client feedback are integral to fine-tuning the solution before full deployment.
3. Deployment Phase – We handle infrastructure provisioning and application deployment, aligning with the client’s operational model to ensure a smooth transition into production.