Case study
Transforming Legal Research with AI Legal Text Analysis
Legal AI assistant improves legal coding efficiency by automating data analysis, reducing workload, and accelerating research.
Our AI engineers help vendors build amazing AI products. From MLOps vendors to ML product companies, Winder.AI is ready to scale your development.
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
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.
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.
Talk
Join Phil Winder and Charles Humble in this insightful interview as he delves into the critical components of an enterprise AI strategy, based upon his excellent article on the subject.
Gain actionable insights on aligning AI with your business goals, building robust data infrastructure, and prioritizing projects based on ROI. Learn about MLOps, AI security, and the role of generative AI and reinforcement learning across industries.
Generative AI
Discover how to deploy open-source LLMs using LLM agent frameworks, orchestration frameworks, and LLMOps platforms. Learn about serving frameworks like vLLM and Ollama, and explore LLMOps tools that enhance language model performance in production environments.
Talk
In this webinar I’m pleased to present a recorded interview with Kai Zenner, Head of Office and Digital Policy Adviser for MEP Axel Voss. Kai is a key figure in the EU AI Act, responsible for authoring parts of the regulation, whilst advising and debating the rest.
In this interview we discuss the impact of the EU AI Act on the AI industry, the implications for AI ethics, and the future of AI in Europe. We talk about the potential challenges for AI companies, especially those that lie outside of the EU. We find that although there are holes in the regulation, it is a step in the right direction for the AI industry. Kai makes his suggestions as to how companies can prepare for and help to improve the regulation.
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.