Award-winning Enterprise AI Agency delivering AI for Business.

2026/Case study

How Winder.AI Helped Duetto Evaluate Reinforcement Learning for Hotel Pricing

Winder.AI helped Duetto evaluate offline reinforcement learning for dynamic hotel pricing. Over five months, the engagement progressed from behavioural cloning baselines through Implicit Q-Learning experiments on real booking data, revealing where RL outperforms simpler approaches, what data quality prerequisites exist, and how to evaluate pricing agents when ground truth is unavailable.

2025/Case study

How Winder.AI Helped Apartment List Eliminate Data Drift and Scale MLOps Automation

Winder.AI helped Apartment List modernize its machine learning operations by unifying data pipelines, automating Kubeflow workflows, and introducing enterprise-grade governance. The outcome: consistent training and inference data, faster deployment cycles, and self-service capabilities that enabled Apartment List’s data science team to scale model delivery with confidence.

2025/Case study

AI in Aviation Case Study: Flight Scheduling Using Digital Twins and Reinforcement Learning

Using digital twin data to build flight traffic simulators and train reinforcement learning AI agents. A leading aerospace business and Winder.AI opened new horizons for dynamic, data-driven scheduling solutions that integrate with our client’s advanced flight planning technology.

2026/AI

Why AI Agents Fail in Production, and the Engineering That Stops It

The agent has been fine for six weeks. Then a customer complains, you open the trace, and every step is green. Nothing timed out, nothing threw an exception, and the summary at the end says the job is done. It is not done.

Agents fail in production in a small number of recognisable ways, and almost none of them are the model being wrong. They call the right tool with the wrong arguments. They run out of context partway through a long task and forget a constraint you gave them at the start. They report success after a step that failed. They loop, and you find out when the bill arrives. Or they answer confidently from data that stopped updating on Tuesday.

Every one of those has an engineering fix, and every fix is code inside your agent loop, not a product you buy.

2026/AI

Top AI Agent Development Companies in 2026: Who Has Actually Shipped One

The right AI agent development company depends on which tier your problem sits in. For a bespoke agent that has to survive production and be trusted near a system of record, the engineering-led specialists: Winder.AI and Neurons Lab. For capacity on a long programme, the large offshore benches: LeewayHertz, Appinventiv and N-iX. For a configurable product instead of a commissioned build, the platform vendors, which since December 2025 means ServiceNow, because it bought Moveworks. And for a multi-year transformation where agents are one workstream of twenty, Accenture and Deloitte.

We are Winder.AI, so we sell against most of the firms below. We appear in the specialist tier, and this comparison is ours.

Every firm here sells agent development. The question that sorts them is narrower. Can they name a client, name the agent they put into production for that client, and quote a number that agent moved? I went looking on 14 August 2026. Of the eight firms in the table below, one answers it in full and one answers it halfway. Being the firm that passes is less flattering than it sounds, because the bar is a single number on a single case study.

Buyers building this shortlist are afraid of one thing: spending six months and a budget on something that demos beautifully and then cannot be trusted near a system of record. That fear has numbers behind it. In a survey of 1,340 practitioners run between 18 November and 2 December 2025 by LangChain, whose own users it over-samples, 57.3% had agents in production, quality was the top barrier for everyone else at 32%, and only 37.3% of respondents ran any online evaluation at all (LangChain).

2026/AI

Best AI Consultancy 2026: Who Is Still Independent

The right AI consultancy depends on what is broken. For an enterprise-wide programme that needs board cover, that means Accenture, which now owns Faculty, or McKinsey’s QuantumBlack, or BCG X. For anything data-centric that has to reach production, it means the specialist tier: Winder.AI for production machine learning of any vintage, from forecasting and anomaly detection through to reinforcement learning and LLM engineering, Datatonic for organisations that want a Google-first partner, Cambridge Consultants where the AI has to live inside hardware. For a large software rebuild with AI threaded through it, Thoughtworks. For a programme that needs hundreds of people for years, Tiger Analytics and Fractal Analytics.

We are Winder.AI, so we sell against several of the firms below. We appear in the specialist tier, not at the top.

The reason to read a 2026 comparison rather than a 2024 one is ownership. Seven firms a shortlist would have called independent two years ago now answer to somebody else, and Faculty is only the largest. Most lists in this category have not caught up, which is why the table below carries a column none of them do.