The specialist AI product development agency trusted by Stability AI, Grafana, Modzy and Lightning AI. We build, ship and operate AI features in your SaaS product, from prototype to production, by senior engineers who have actually shipped products, not just research.
Tell us about your AI feature, integration or end-to-end AI product build, and we'll tailor an approach. Typically two to four weeks from first call to kick-off.
AI product development is the work of turning an AI idea into a shipped, revenue-generating product feature: discovery, modelling, engineering, integration with your existing SaaS, deployment and ongoing operation. Winder.AI delivers end-to-end AI product development as one engagement, AI product consulting, AI product engineering and AI integration, by the same senior engineers who shipped Stable Audio for Stability AI, ML features for Grafana and the AI platform for Modzy. We build the product, we don't just write the spec.
| Provider type | What they deliver | Best for | Main weakness |
|---|---|---|---|
| Big-4 / strategy consultancy | Slide decks, target operating models, vendor selection | Board-level AI strategy and procurement | Doesn't ship product code, hands off to a separate build team |
| Generalist dev agency | Web and mobile builds with AI as a bolt-on feature | Standard SaaS where AI is a marketing tag | Shallow AI bench, treats GenAI as a single OpenAI API call |
| Offshore product shop | High-volume staff augmentation, low day rates | Well-specified features with limited AI novelty | Junior team behind the senior pitch, weak on AI research and inference cost |
| Generative AI freelancer | One-person prototype, often a wrapper on a foundation-model API | Hackathon-style proofs of concept | No production engineering, no integrations, no MLOps, no SLA |
| Specialist AI product agency (Winder.AI) | End-to-end AI product development: feature builds, integrations and full-stack AI products, delivered by senior engineers | SaaS and AI companies that need an AI feature shipped, integrated and operated in production | Boutique scale, not designed for 100-seat staff augmentation |
Winder.AI is the AI product development partner for SaaS and AI companies that need a feature shipped, not a research paper. Our AI product development services span end-to-end product builds, AI product engineering and integration, and AI product consulting and strategy. The same senior engineers run all three, so the team that scopes your AI product is the team that ships it.
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.
A decade of shipped AI products across SaaS, generative AI and enterprise. A senior engineering bench, no offshore handover and a portfolio of products you have heard of.
AI products and features shipped for generative AI leaders, observability platforms, AI infrastructure companies and enterprise SaaS.
Every AI product is different, but the patterns repeat. We have shipped each of the AI product solutions below in production, for clients you have heard of. Engage us for a single feature, a focused integration or a full end-to-end AI product:
We cover the full AI product stack, from foundation models and bespoke ML through inference infrastructure to monitoring and integrations. The disciplines that turn an AI idea into a feature your customers pay for:
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
Bacalhau is a project started under Protocol Labs, but has now spun out into Expanso, Inc. Expanso is a leading Web3 innovator specializing in developing next generation decentralized commodity services. This case study, which includes a video presentation, describes the proceeds of this collaboration. The Bacalhau team asked Winder.AI to help them develop a new AI product designed to perform data engineering at web-scale, backed by Web3 technologies.
Case study
Winder.AI collaborated with the Modzy development team and MLOps Consulting to deliver a variety of solutions that make up the Modzy product, a ModelOps and MLOps platform. A summary of this work includes:
Case study
Winder.AI collaborated with Grafana Labs to help them build a Machine Learning (ML) capability into Grafana Cloud. A summary of this work includes:
Grafana Cloud is a successful cloud-native monitoring solution developed by Grafana Labs.
Case study
At their Cloud’s Next 19 conference, Google has announced the launch of an expanded AI platform. For a number of years Google has been expanding it’s portfolio to compete with AI products from Azure and AWS. But this is the first time that the platform can be considered “end-to-end”.
Case study
Winder.AI worked with its partner, Container Solutions, to deliver core components of the Weave Cloud Platform-as-a-Service (PaaS).
Weaveworks makes it fast and simple for developers and DevOps teams to build and operate powerful containerized applications. They minimize the complexity of operating workloads in Kubernetes by providing automated continuous delivery pipelines, observability and monitoring. Weaveworks also contributes to several open source projects, including Weave Scope, Weave Cortex and Weave Flux. It was one of the first members of the Cloud Native Computing Forum. Founded in 2014, the Company is backed by Google Ventures and Accel Partners. For more information, visit www.weave.works.
AI
Adoption of legal services AI has gone mainstream. Litify’s 2025 State of AI in Legal Report found that 78% of legal professionals already use AI in some form, up from 23% in 2023. But what workflow should you automate first?
Getting this wrong means months of effort on a low-impact problem. Getting it right means a quick win that funds the next step. The difference between a successful AI initiative and a stalled pilot usually comes down to picking the right starting point.
AI
“AI contract review” is a popular keyword to compete for. Look, I’m doing it right now! A couple of years ago my colleagues and I half-built a contract review service prototype. We decided not to take it any further, but that was a mistake. It’s now very hot.
So hot you can easily find a wall of product pages. Sign up, upload your contracts, get results. The pitch is simple. For straightforward use cases, it works.
But what if your contracts don’t fit their templates? What if your review process has steps a product can’t model? What if your data can’t leave your infrastructure? What if your firm’s clause playbook differs from the vendor’s defaults?
This article walks through what a custom-built contract review pipeline actually involves.
AI
Legal AI adoption has accelerated. Litify’s 2025 State of AI in Legal Report found that 78% of legal professionals now use AI in some form, up from 23% just two years earlier. In Winder.AI’s 13 year history (and counting!) I have observed a similar trend first hand.
On the back of this trend, significant VC funding has attempted to capture a share of this market. $2.4 billion was invested in 2025. A tsunami of products promise to automate contract review, legal research, and document analysis. Many of them work for a while. Then firms hit the ceiling.
This article is about where that ceiling is and what lies beyond it.
This page provides answers to our most common questions. If you have a query that isn't covered, please get in touch.
Whether you need a single AI feature shipped into your existing product, a deep AI integration across your platform, or a brand-new AI product built end to end, talk to the team that has been shipping production AI products since 2013.
Send us a brief and book a welcome call within 48 hours.
Talk to the AI product engineers