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
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.
Case study
Tractable.AI is a leading insure-tech company based in the UK and has made significant strides in the motor vehicle insurance sector by leveraging AI technologies. Their innovative approach has allowed them to automate various aspects of the insurance lifecycle, including the complex process of loss adjustment. This AI-driven strategy has not only increased their operational efficiency but also enhanced their service delivery, making them a preferred choice for many customers.
Generative AI
This presentation investigates several common production-ready architectures for RAG and discusses the pros and cons of each. At the end of this talk you will be able to help design RAG augmented LLM architectures that best fit your use case.
ChatGPT
Large language models (LLMs) are powerful but demand significant resources, making them less ideal for smaller setups. Small language models (SLMs) are a practical, resource-efficient alternative, offering quicker deployment and easier maintenance. This article discusses the benefits and applications of SLMs, focusing on their efficiency, speed, robustness, and security in contexts where LLMs are not feasible.
MLOps
In an insightful session presented by Enrico Rotundo, we explore the innovative approach to scaling StableAudio globally. This presentation sheds light on the synergy between NVIDIA Triton and AWS SageMaker.
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 will design and execute a solution specific to your needs, so you can focus on your own goals. Fill out the form below to get started.
