Our AI engineers help vendors build amazing AI products. From MLOps vendors to ML product companies, Winder.AI is ready to scale your development.
Winder.AI allowed us to rapidly work on ideas that our core engineering team didn’t have time for. This allowed us to build new features faster… Their expertise significantly improved our product.
Our development services make it easy to leverage AI in your product. With over a decade of experience, we've helped the likes of Google and Grafana, Microsoft and Modzy, Shell and Stabilty.AI fulfill their AI dreams.
We've worked with hundreds of amazing people, all over the world.
We specialize in developing production-ready AI-powered applications.
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-native software engineering and MLOps to produce production-ready AI.
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 who can deliver full stack solutions. Let us help you take advantage of AI in your product.
For intelligent interaction in text-based domains, e.g. QA platform.
As experts in AI, we’re able to deliver models, infrastructure and APIs to match your requirements, e.g. an aerospace company.
Infrastructure is often at the heart of AI scale, and we’ve worked hard with our clients to optimize their costs, e.g. optimizing training costs on Kubernetes
Automate your backend processes to enable scale and improve efficiency, e.g. in Finance.
Your product needs a feature that requires a machine learning lifecycle, e.g. E2E MLOps solution in Grafana.
We’re experienced at developing full products where AI is the core value proposition, e.g. Bacalhau.
Case study
Leveraging predictive analytics and a stand-to-runway modelling approach, Winder.AI and our aviation client improved taxi time predictions to reduced ground delays and improve fuel efficiency.
Case study
Legal AI assistant improves legal coding efficiency by automating data analysis, reducing workload, and accelerating research.
Case study
Interos, a leading supply chain management company, partnered with Winder.AI to enhance their machine learning operations (MLOps). Together, we developed advanced MLOps technologies, including a scalable annotation system, a model deployment suite, AI templates, and a monitoring suite. This collaboration, facilitated by open-source software and Kubernetes deployments, significantly improved Interos’ AI maturity and operational efficiency.
Talk
As AI-native transformation reshapes the technology landscape, organizations must rethink not just their tools but their entire structures and processes. Simply adopting AI technologies is not enough. True transformation requires organizational change, guided by a deep understanding of both technical feasibility and business value.
Talk
As visual data becomes increasingly central to enterprise content, traditional retrieval-augmented generation (RAG) systems often fall short when faced with richly visual documents like PDFs filled with charts, diagrams, and infographics. Vision RAG is a cutting-edge pipeline that leverages vision models to generate image embeddings, enabling intelligent indexing and retrieval of visual content.
In this session, you’ll explore the state of the art in visual RAG, see a live demo using open-source tools like VLLM and custom Python components, and learn how to integrate this capability into your own GenAI stack. The presentation will also highlight Helix, our secure GenAI platform, showcasing how Vision RAG fits into a scalable, enterprise-ready solution.
Talk
Building LLM-powered applications is challenging. But the most important challenge is when products are not useful to their users. This presentation is about the different ways you can gather feedback to improve LLM applications. I’ll review the state of the art, offer some practical tips, and share some examples.
This page provides answers to our most common questions. If you have a query that isn't covered, please get in touch.
Our knowledge, experience and flexibility allows us to deliver untold value to you and your product. We’re renowned experts (e.g. RL), we helped to found fundamental shifts in AI delivery (e.g. MLOps), and we’ve helped countless others develop their products.
In a product development role, we provide AI consulting services within a production-ready framework that suits the project we’re working on. That could be as simple as a REST API with minor monitoring elements or a fully-fledged full-stack application with an MLOps suite.
Check out our about page to learn more about how we work.
We like to work with time and material contracts to provide flexibilty. But we’re happy to work on fixed cost projects too. Check out our pricing page.
The team at Winder.AI are ready to collaborate with you on your ai product 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.
