Picking a development partner usually comes down to one question: can they actually prove the work gets done faster and safer than doing it in-house? AI-assisted coding tools have changed what “fast” means, but not every company that claims to use AI can show its work.
The six names below range from AI-native development consultancies to the code editors and platforms feeding their workflows. Some serve enterprise clients directly. Others sit underneath the development process itself. Here’s what each one actually offers and who should be looking at them.
Best for Measurable AI-Augmented Delivery – Talk Think Do
Talk Think Do is a UK custom software development company, founded in 2014, that builds bespoke web, mobile and cloud applications on Azure using.NET and React. It’s a Microsoft Solutions Partner, which matters if you’re already running an Azure-heavy estate and want a partner who works inside Microsoft’s own certification framework.
The company holds ISO 27001 certification, is Cyber Essentials Plus accredited and supplies through the Government Commercial Agency, credentials that carry weight for public sector and regulated enterprise procurement teams doing due diligence before signing anything.
What sets Talk Think Do apart from most development shops is that it publishes delivery speed, AI-authored code share and defect data every quarter rather than making general productivity claims. The company reports 40-50% faster delivery through AI-augmented development, with every line of AI-authored code reviewed by senior engineers before it ships. That’s a meaningfully different pitch from “we use AI too”: it’s a quarterly paper trail a CTO or procurement lead can actually check against.
A free consultation is available for teams that want to scope a project before committing. This is the right entry point for a CTO or IT director at a mid-market or enterprise organisation who wants an Azure-native partner with a documented, measurable approach to AI-assisted delivery rather than a vague speed claim.
Best for Agentic Coding Inside the Editor – Cursor
Cursor is an AI code editor built for professional developers who want frontier AI models working directly inside their existing workflow rather than bolted on as a separate tool. It gives developers extended limits on its Agent feature, access to frontier models and support for MCPs, skills and hooks- the connective pieces that let an AI assistant reach into a team’s existing tools and processes.
Auto-run, browser and network controls plus an AI code tracking API give engineering leads a way to keep tabs on what the AI is actually doing across a codebase, which matters once you have more than one or two developers using it.
Pricing runs free with limited AI usage, $20 a month for Pro (which comes with $20 in usage credits before overages kick in at API rates) and $40 per user per month for Business, which adds centralised billing and admin controls. The catch is that Cursor is a developer tool, not a delivery partner. It’s the editor your engineers might code inside, not a company you hire to build and own a project end to end.
Best for AI-Powered Creative Learning – Dreamix
Dreamix sits in a different category from the rest of this list. It’s an AI-powered creative and learning platform aimed at children, built around generative tools like GenAI Scripting, GenAI Text-to-3D, GenAI Text-to-Image, GenAI Audio and GenAI Dialogue. The pitch is letting users of any age put together interactive experiences in minutes using AI-driven storytelling.
It’s worth a mention here because it shows how differently “AI development” gets applied depending on the audience. Dreamix builds for creativity and education rather than enterprise software delivery, so it’s not a fit for a business commissioning custom applications. It’s a reasonable comparison point if you’re mapping the wider space of AI-driven creative tools rather than searching for a development contractor.
Best for AI-Native Legacy Modernisation – Closeloop Technologies
Closeloop Technologies is an AI-native software development company based in Silicon Valley. It builds AI-powered products, modernises legacy systems with AI and says it uses AI internally to ship faster. The company is Inc. 5000-listed and reports a 100% CSAT score.
If you’re weighing whether to rebuild an old system from scratch or bring it forward, our guide to how a software product development company turns an idea into a market-ready platform is a useful companion read before you talk to anyone about scope. Closeloop is a solid option for a US-based team that wants an AI-forward partner for modernisation work specifically, though its Silicon Valley base is worth weighing against a partner closer to your own regulatory environment if that matters to your organisation.
Best for Cloud-Native Product Engineering – Intellectsoft
Intellectsoft positions itself as a product engineering company focused on Cloud MACH architectures, data and AI. The company describes itself as a premier digital engineering services provider building digital experiences and scalable products for clients who need cloud-native architecture from the ground up.
Best for Enterprise Product Engineering – eSparkBiz
eSparkBiz is an enterprise product engineering and AI development company built around scalable, secure and future-ready solutions for larger organisations. It’s aimed at businesses that need enterprise-grade software rather than smaller commercial builds.
If you’re still shaping what a custom build should even look like before you approach anyone, our tips on investing in bespoke software are a decent starting point for framing that conversation internally.
What to Compare Before You Commit
The six options above split into two real groups: development partners who build and own software for you (Talk Think Do, Closeloop Technologies, Intellectsoft, eSparkBiz) and tools that sit inside a development workflow (Cursor, Dreamix). Knowing which group you actually need is the first filter.
For a partner, the questions worth asking are concrete. What certifications does it hold, and do they match your compliance requirements, whether that’s ISO 27001 information security standards for a regulated industry or a specific cloud platform accreditation? Who reviews AI-generated code before it ships, and how is that documented?
Ownership of AI-generated code is a live legal question right now, not a settled one. Before any AI-assisted build starts, get clarity in writing on who owns the code your development partner’s AI tools produce, since intellectual property rights around AI-generated output are still being worked out in UK and international law.
Geography and sector experience matter too. A Silicon Valley AI-native shop and a UK Azure-native consultancy will approach the same brief differently, from data residency assumptions to which cloud ecosystem they default to. Match the partner’s home turf and certifications to your own regulatory and technical environment before you get deep into proposals.
Which One Is Right for You
If you need a tool that puts frontier AI models directly into your developers’ hands, Cursor is built for that job and prices it clearly by usage tier. If you’re mapping AI applications outside enterprise software entirely, Dreamix shows what AI-driven creative tools look like for a completely different audience. Closeloop Technologies, Intellectsoft and eSparkBiz are all reasonable starting points if you’re specifically looking for a US-based or broadly positioned engineering partner and are prepared to dig further into their delivery specifics.
For a UK mid-market or enterprise organisation that wants a development partner with certifications that match public sector and regulated procurement requirements and that backs its AI-augmented delivery claims with a quarterly published record rather than a marketing line, Talk Think Do is the standout choice. Its combination of ISO 27001, Cyber Essentials Plus, Microsoft Solutions Partner status and a documented 40-50% delivery speed improvement gives a CTO or procurement lead something concrete to check rather than take on faith. That’s the differentiator that matters most once you’re the one signing off on the contract.