Delivering production-ready LLMs for chatbots, question-answering and more.
I would recommend Winder.AI because they are experts with real-world experience, led by Phil Winder, who is well-respected in the industry. They are quick to respond, quick to scale up and they deliver when you need them to.
We've been developing text-based language models for nearly a decade. Today we offer a range of services to suit your specific needs.
Enterprise LLM Development
We specialize in delivering enterprise-ready LLM solutions. We’ve moved LLMs into production for AI companies you already know, e.g. Stability AI, Shell and many more.
LLM Consulting
Are you unsure where to start? We’re happy to provide a holistic consulting approach to help drive your AI solutions forward. We’re able to analyze your business needs, advice on architectural decisions and inform your LLM strategy.
LLM Product Delivery
Leveraging our AI product development expertise, it couldn’t be easier to produce your new idea. Let our experienced consultants help scale your delivery efforts.
LLMOps
Go beyond the POC. Leveraging our MLOps consulting expertise, we can help you deliver LLM production readiness.
We've worked with hundreds of amazing people, all over the world.
We specialize in developing enterprise-ready LLM solutions.
Unlike larger, more general purpose IT agencies, we specialize in developing AI solutions. We’re more flexible, more pragmatic and better suited to integrate AI into your product.
We combine our bespoke AI solutions with cloud-agnostic or on-premise software engineering to produce production-ready large language models.
We exist to help companies like yours build better products. We collaborate closely with your internal engineering teams to both upskill and deliver pragmatic results.
Winder.AI is a flexible, decentralized, independent AI company that can deliver full-stack solutions. LLMs provide a wide range of experiences via human-like interaction.
Intelligent chatbots, or agents, are able to perform a wide range of roles, including in sales, customer service and HR.
Integrate your internal knowledge bases (through your website, documents and emails, Slack, SharePoint, Salesforce, HubSpot, etc.) to empower your automated agents.
Expose corporate knowledge via streamlined question-answering systems to make your workforce more efficient, e.g. QA platform for Shell.
Deliver next-generation intelligent products by dynamically collating and disseminating information.
Case study
We’re pleased to announce the release of Stable Audio, a new generative AI music service. Stable Audio is a collaboration between Stability AI and Winder.AI that leverages state-of-the-art audio diffusion models to generate high-quality music from a text prompt.
Ai
I recently migrated a production Python codebase to Go using Claude Code as the primary coding agent. The codebase was Kodit, an MCP server and CLI tool for indexing code repositories. It had a well-structured Python backend with a FastAPI server, SQLAlchemy ORM, Pydantic models, and a search pipeline combining BM25 and vector embeddings.
Talk
Building AI-powered applications is exciting, until you need to evaluate whether your model actually works. How do you test an AI system that gives different answers every time? How do you gather enough test data to be confident in your results? This one-hour practical webinar will transform you from uncertain to confident about AI evaluation.
Talk
While 71% of organizations have deployed generative AI in at least one business function, fewer than 5% of AI pilots achieve meaningful revenue impact. This gap between experimentation and production success represents both the greatest challenge and opportunity for technical leaders in 2025.
This page provides answers to our most common questions. If you have a query that isn't covered, please get in touch.
ChatGPT is a product from OpenAI. Under the hood they use large language models (LLM) to generate responses. As an AI agency, we create custom LLMs and generative-AI products for our clients.
Large language models are deep learning models that are pre-trained in a supervised manner, over large text-based datasets. They are used to transform text into a vector (a.k.a. an embedding) for recommendation tasks, or for generation by predicting the next word. Check out our blog series introducing LLMs.
ChatGPT is based on a large language model trained by OpenAI. It works by repeatedly predicting the next word when given a context. The model internalizes knowledge by learning from a wide variety of knowledge graphs like Wikipedia. Check out our talk ChatGPT from Scratch.
Large language models, like those at the heart of ChatGPT can be customized. This process of fine-tuning, allows you to update the machine learning model weights with new knowledge, using your data. Retraining a model from scratch is best avoided because it can incur prohibitive costs. Check out our talk ChatGPT from Scratch.
The team at Winder.AI are ready to collaborate with you on your llm development project. We tailor our AI solutions to meet your unique needs, allowing you to focus on achieving your strategic objectives. Fill out the form below to get started.
