Large Language Models for Your Business

Delivering production-ready LLMs for chatbots, question-answering and more.

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I would recommend Winder.AI because they are experts with real-world experience, led by Phil Winder, who is well-respected in the industry. They are quick to respond, quick to scale up and they deliver when you need them to.

Hunter Powers
VP of Machine Learning

LLM Consulting Services - Large Language Model Development

We've been developing text-based language models for nearly a decade. Today we offer a range of services to suit your specific needs.

  • Enterprise LLM Development We specialize in delivering enterprise-ready LLM solutions. We've moved LLMs into production for AI companies you already know, e.g. Stability AI, Shell and many more.
  • LLM Consulting Are you unsure where to start? We're happy to provide a holistic consulting approach to help drive your AI solutions forward. We're able to analyze your business needs, advice on architectural decisions and inform your LLM strategy.
  • LLM Product Delivery Leveraging our AI product development expertise, it couldn't be easier to produce your new idea. Let our experienced consultants help scale your delivery efforts.
  • LLMOps Go beyond the POC. Leveraging our MLOps consulting expertise, we can help you deliver LLM production readiness.

The World's Best AI Companies Trust Winder.AI

We've worked with hundreds of amazing people, all over the world.

  • Machine learning product development for Google.
  • Kubeflow consulting for Microsoft.
  • MLOps consulting and development for Shell.
  • Deep reinforcement learning consulting and development for Nestle
  • MLOps product development for Canonical.
  • MLOps consulting for Docker
  • MLOps consulting for Ofcom
  • MLOps product development for Grafana.
  • MLOps consulting for Stability AI
  • Authors of a Reinforcement learning book with O'Reilly
  • Data science lecturing with Pearson
  • Machine learning integration for Pachyderm.
  • Vendor MLOps product development for Modzy.
  • MLOps consulting for Neste.
  • Deep reinforcement learning consulting for CMPC.
  • Deep reinforcement learning consulting for Novelis.
  • Reinforcement learning consulting for Genesis
  • MLOps consulting for Lightning AI
  • AI product development for Protocol Labs
  • MLOps consulting for Tractable
  • MLOps consulting for Interos.AI
  • MLOps consulting for Ultraleap
  • MLOps consulting for AICadium
  • DAS and digital signal processing for OptaSense
  • DAS and digital signal processing for Focus Sensors.
  • DAS and digital signal processing for Frauscher
  • MLOps consulting for Living Optics
  • AI Product Development for Expanso

LLM Development Expertise - Our Sweet Spot

We specialize in developing enterprise-ready LLM solutions.

Dedicated AI Company

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.

Production Ready

We combine our bespoke AI solutions with cloud-agnostic or on-premise software engineering to produce production-ready large language models.

Collaborative Working

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.

LLM Solutions - LLM Capabilities

Winder.AI is a flexible, decentralized, independent AI company that can deliver full-stack solutions. LLMs provide a wide range of experiences via human-like interaction.

Bespoke AI-Driven Chatbots

Intelligent chatbots, or agents, are able to perform a wide range of roles, including in sales, customer service and HR.

Private Knowledge

Integrate your internal knowledge bases (through your website, documents and emails, Slack, SharePoint, Salesforce, HubSpot, etc.) to empower your automated agents.

Question-Answering

Expose corporate knowledge via streamlined question-answering systems to make your workforce more efficient, e.g. QA platform for Shell.

Summarization and Smart Products

Deliver next-generation intelligent products by dynamically collating and disseminating information.

Multi-Cloud

Any Library

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We ♡ GitOps

Selected Case Studies

Some of our most recent work for our clients. You can find more in our portfolio.
MLOps in Supply Chain Management

Case study

MLOps in Supply Chain Management

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.

Announcing Stable Audio: A Generative AI Music Service

Case study

Announcing Stable Audio: A Generative AI Music Service

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.

MLOps in Insurance

Case study

MLOps in Insurance

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.

Recent ChatGPT Articles

Find more articles in our blog.
Exploring Small Language Models

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Exploring Small Language Models

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.

LLM Prompt Best Practices For Large Context Windows

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LLM Prompt Best Practices For Large Context Windows

This article delves into the nuances of using large language models (LLMs) with large context windows, highlighting the benefits and challenges they present, from enhancing coherence and relevance to demanding more computational resources. Learn practical strategies for prompt design, maintaining narrative coherence, and utilizing attention mechanisms effectively.

Calculating Token Counts for LLM Context Windows: A Practical Guide

ChatGPT

Calculating Token Counts for LLM Context Windows: A Practical Guide

This article discusses the concept of token counts in large language models (LLMs) and their impact. Tokens are fragments of language used for text processing, representing words, parts of words, or punctuation marks. Code walkthroughs demonstrate how to calculate token counts and examples provide insight.

FAQs - Frequently Asked Questions

This page provides answers to our most common questions. If you have a query that isn't covered, please get in touch.

Start Your LLM Development Project Now

The team at Winder.AI are ready to collaborate with you on your llm 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.

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