Build Circle builds AI as engineering infrastructure across the stack, not a feature bolted onto one product, so agents have the context they need to do work worth paying for.
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Kicking off a new series from the office wall at Build Circle. We asked the team for their ‘hypes’ and ‘gripes’ about AI right now. Our one rule for the team was full ho…
Company
Build Circle
Build Circle is a technology consultancy that scales your data, engineering, and AI capability.
- Industry
- IT Services and IT Consulting
- Location
- London, GB
- Company size
- 51–200 employees
About Build Circle
Build Circle is a technology consultancy that helps you achieve faster time-to-value, accelerating your future with strategic, data-forward engineering & GenAI. Book a free 15-minute consult with us: https://www.buildcircle.co.uk/book-a-call We partner with you to build the right product and get to market fast. We design, develop, and launch data and AI-powered solutions to enhance product quality and de-risk your data strategy and GenAI investments. Utilising lean principles, we specialise in modernisation - encompassing everything from data centre migrations and re-platforming to improving your KPIs and developer experience. The Challenges We Solve_ At Build Circle, we help businesses transform ideas into market-ready products and understand the practical and cultural shifts necessary for scalable, technological advancement. We apply a product-led approach to technical consulting to reduce overall costs and effort through engineering excellence, data services and AI implementation (GenAI Services). Find out more about Build Circle services here - https://www.buildcircle.co.uk/what-we-do
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Products & Services
Build Circle helps teams turn ideas into working software quickly, testing assumptions when they're still cheap to change.
Research & Knowledge
Build Circle published a cross-industry analysis showing that while AI is driving massive acceleration, it is not a silver bullet and requires navigating board-level expectations, restructuring into hyper-lean agile pods, building in model flexibility, establishing strict control over escalating token costs, and ensuring foundational technology is modern and robust enough to handle the speed of AI.
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