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.
Generative AI
The article examines the challenges of moving GenAI from prototypes to production. It highlights issues such as resource constraints, performance monitoring, cost management, and security, and suggests strategies for efficient scaling, robust guardrails, and continuous monitoring to ensure sustainable enterprise-grade deployments.
AI
Enterprise AI Assistants unify disparate data sources, providing real-time insights and access control. Building domain-specific assistants and orchestrating them (hierarchical or federated) offers scalability, specialized features, and better performance than single-vendor solutions. Ultimately, organizations need a tailored approach that consolidates knowledge, fosters collaboration, and addresses evolving AI integration challenges.
Talk
At Winder.AI, we’re seeing a shift in how businesses are adopting AI—not just for innovation, but for real, tangible commercial outcomes. I had the privilege of sharing these insights as a keynote speaker at ITAPA in beautiful Bratislava, Slovakia. The audience was looking for an insight into how AI is being used and some of the key challenges that are being faced today. I took the opportunity to share some of my thoughts about the importance of data transparency, some interesting use cases, and future regulation to watch out for.
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.
