1.What Changed in 2026 and Why It Matters for Your Shortlist

Generative AI work in 2026 looks very different from the chatbot experiments of a couple of years ago. Clients now expect AI features that are woven directly into the product, not bolted on as an afterthought. That means the firms worth hiring need to be genuinely strong at both the AI layer and the underlying application, which is exactly why full stack development services and AI expertise have started to merge into a single offering rather than two separate departments.

Another shift worth knowing about is cost transparency. UK clients are far more comfortable asking for fixed scope pricing and milestone based contracts than they were before, so most credible full stack software development services providers now publish or quickly share rate ranges rather than hiding behind a contact us form. Keep that in mind as you read through the profiles below, because pricing honesty is often a quiet signal of how the rest of the engagement will go.

2.A Quick Note on the Numbers Below

Each profile below includes an hourly rate range and a rough team size, both gathered from public sources and direct conversations where available. Treat these as a starting point for budgeting rather than a fixed quote, since actual pricing depends on project scope, how much custom AI work is involved, and whether you need a dedicated team or a smaller part time engagement. If a number looks off by the time you read this, it is worth a quick check directly with the company, since rates in this space tend to move every few months as demand for AI talent keeps shifting.

3.The 20 Best Generative AI Full Stack Development Companies in the UK

1. HireFullStackDeveloperIndia

HireFullStackDeveloperIndia has built a name for itself among founders who want senior full stack talent without the agency markup that comes with London based studios. The company runs a hybrid model, with client facing leads in the UK and dedicated engineering pods overseas, which keeps both cost and communication in a good place. Their generative AI work usually starts with a clear discovery phase, where they map out where a large language model can genuinely save time inside a workflow rather than adding it for the sake of a feature list. If you are looking to hire full stack developers who can also build retrieval based AI features on top of an existing product, this is one of the more dependable names on this list. They are also a sensible pick for companies exploring full stack development services on a tighter budget, since their pricing model rewards longer term engagements rather than one off sprints.

2. Endava

Endava sits at the larger end of this list and is best suited to organizations that need a partner capable of handling complex, multi system environments, think banks, insurers, and large retailers. Their generative AI practice leans heavily on responsible AI frameworks, which matters a great deal once you are dealing with regulated industries and need an audit trail for every model decision. They are not the cheapest option here, but for a CEO managing a board that wants assurances around compliance and scalability, Endava brings a level of process maturity that smaller shops simply cannot match yet. Expect a fairly formal onboarding process, with detailed documentation and security questionnaires, which slows the start of a project but tends to pay off once the system is in production.

3. DataEximIT

DataEximIT has quietly become one of the go to partners for SaaS founders who need a full stack AI development company that can take a rough product idea and turn it into a working platform within a few months. Their teams are organized around verticals such as fintech, healthtech, and logistics, so the engineers assigned to your project usually already understand the domain language instead of needing weeks of onboarding. What stands out about DataEximIT is how openly they share their AI model evaluation process during the proposal stage, which gives clients a much clearer picture of cost and timeline before any contract is signed. They also offer ongoing maintenance retainers after launch, which many smaller AI vendors do not provide, giving clients a single point of contact long after the initial build is finished.

4. Netguru

Netguru has spent years building a reputation around product strategy, and that focus carries through into their generative AI offering as well. Rather than jumping straight into development, they typically run a short strategic sprint to validate where AI actually adds measurable value to the product, which can save founders from spending budget on features users never asked for. Their engineering bench covers most modern stacks, and they have a track record of working with venture backed startups that need to move quickly while still building something that can scale once the next funding round lands. Their design and engineering teams sit together rather than in separate departments, which tends to shorten the feedback loop when an AI feature needs visual or interaction adjustments mid project.

5. Backend Development Company

Despite the name, Backend Development Company offers a genuinely full stack service, with the backend focus simply reflecting where their original strength lies. That matters a lot for generative AI projects, because most of the hard engineering work, things like vector databases, model orchestration, and secure API gateways, happens behind the scenes rather than in the interface. Founders who already have a frontend team in place but need serious backend and AI infrastructure support often find this firm to be a strong fit, particularly for projects involving real time data processing alongside AI features. They also publish fairly detailed technical case studies, which gives prospective clients a realistic sense of how their architecture decisions hold up once real traffic and real data start flowing through the system.

6. Hedgehog Lab

Hedgehog Lab built its early reputation on mobile app development, and that mobile first thinking still shapes how they approach generative AI today. If your product lives primarily on a phone, whether that is a consumer app or an internal field service tool, this team understands the constraints around latency, offline behavior, and battery usage that desktop focused agencies sometimes overlook. They have worked with several UK retail and logistics brands to add AI powered search and recommendation features, and their delivery process tends to be a good match for companies that value structured project management over a looser, more freeform engagement style. Pricing tends to sit in the middle of the market, reflecting their mix of senior architects and mid level engineers assigned across most client teams.

7. WebClues Infotech

WebClues Infotech offers a genuinely broad set of full stack development services, covering everything from e-commerce platforms to custom AI dashboards, which makes them a reasonable single vendor option for founders who do not want to manage three separate agencies. Their generative AI work often centers on customer-facing chat experiences and internal automation tools built on top of established model providers rather than custom trained systems, which keeps both cost and delivery time predictable. Clients frequently mention their responsiveness during the early discovery calls as a reason they chose to move forward with the team. Their account managers are known for staying involved throughout delivery rather than disappearing after the contract is signed, which smaller clients in particular tend to appreciate.

8. Apadmi

Apadmi has worked with a fairly wide range of household name UK brands over the years, and that experience shows in how structured their discovery and design process is before any code gets written. Their generative AI services tend to focus on practical use cases such as content generation tools, internal knowledge assistants, and personalization engines rather than chasing the latest research trend for its own sake. For a CEO who wants a partner that can also handle the design side of the product, not just the engineering, Apadmi is worth a serious look. Their AI engineers typically work in small cross functional pods, which keeps decision making fast and avoids the long approval chains that can slow down larger consultancies.

9. HireAIDevelopers

As the name suggests, HireAIDevelopers is built specifically around the needs of companies that want to hire AI developers without going through a long, generalist recruitment process. They position themselves among the AI full stack development companies UK founders search for when the project genuinely needs both deep machine learning know-how and solid application engineering. Their teams have hands-on experience fine tuning open source models for specific business use cases, which can be a meaningful cost saver compared to relying entirely on third party API calls for every AI feature in a product. They also run a short technical audit before quoting a project, flagging any data quality issues early so clients are not surprised by extra cleanup costs partway through development.

10. Somo

Somo has been part of the UK digital agency scene for over two decades, which gives them a level of institutional knowledge that newer studios cannot replicate overnight. Their generative AI projects often involve adding intelligent features to platforms that already have a large existing user base, meaning their engineers are comfortable working carefully around legacy code rather than starting from a blank slate. This makes them a sensible choice for established businesses that need to modernize rather than startups building something brand new from day one. Their long client relationships also mean they have a deep bench of engineers familiar with older enterprise systems, which is useful when AI features need to talk to legacy infrastructure.

11. Selleo

Selleo runs a leaner operation than several others on this list, and that smaller size tends to translate into closer, more direct communication with the founders or product leads on a project. They have a strong background in Ruby on Rails and React, two stacks that remain common among SaaS startups, and they have layered generative AI capabilities on top of that core strength over the past couple of years. Companies that want a senior, hands on team rather than a large account management structure often gravitate toward Selleo for exactly this reason. Clients describe their communication style as direct and low on jargon, which CEOs without a technical background tend to find refreshing during scoping calls.

12. Codal

Codal has a particular strength in e-commerce and retail platforms, and their generative AI offering reflects that focus, with a lot of their recent work centered on personalization engines, AI generated product descriptions, and smarter search experiences. Their UK office works closely with the wider international team, which can be useful for brands that operate across multiple regions and need consistency in how AI features behave for different markets. For founders running an online store that wants to compete with bigger players on customer experience, Codal is a sensible name to add to the shortlist. Their pricing reflects the more design-heavy nature of e-commerce work, since a noticeable share of project time goes into testing how AI recommendations actually affect conversion rates.

13. Intellectsoft

Intellectsoft positions itself as a full stack AI development company that can handle fairly demanding enterprise requirements, including industries like construction, logistics, and healthcare where data privacy and system reliability carry real weight. Their delivery teams typically include dedicated AI architects who work alongside backend and frontend engineers from day one rather than being brought in later, which tends to reduce the rework that happens when AI features are added on as an afterthought. They are a solid option for mid size and larger companies with more complex technical requirements than a typical early stage startup. They also maintain a research arm that publishes regular updates on emerging AI tooling, which keeps their delivery teams current on practices that smaller firms sometimes take longer to adopt.

14. ThoughtWorks

ThoughtWorks is one of the more established names in technology consulting globally, and their UK office brings that same level of engineering rigor to generative AI projects. They tend to be a better fit for organizations that already have an internal technical team and want an experienced partner to help design the AI architecture, set best practices, and mentor existing staff rather than fully outsourcing development. Their rates sit at the higher end of this list, which generally reflects the seniority of the consultants involved and the depth of their published research on responsible AI practices. Engagements here often double as a knowledge transfer exercise, with internal client teams left more capable of maintaining and extending the AI systems once the consultants roll off the project.

15. Mobiquity

Mobiquity has built deep expertise in healthcare and life sciences, an industry where generative AI adoption requires extra care around data handling and regulatory approval. Their full stack teams understand the compliance landscape well enough to design systems that can pass scrutiny from internal legal and security reviewers, which saves a lot of back and forth later in a project. If your company operates in a regulated space and needs an AI partner who will not need a crash course in healthcare data rules, Mobiquity is a name worth shortlisting. Their proposals usually include a dedicated section on data governance, which is a detail many generalist agencies skip entirely until a client specifically asks about it.

16. Hourlydeveloper

HourlyDeveloper helps startups, SMEs, and enterprises build scalable AI-powered web and mobile applications with dedicated full stack development teams. The company specializes in modern technologies such as React, Angular, Node.js, Python, and AI frameworks to deliver intelligent, high-performance digital products. With flexible hiring models, transparent pricing, and rapid project onboarding, HourlyDeveloper is an ideal partner for businesses looking to accelerate product development while maintaining quality and cost efficiency.

17. Synextra

Synextra focuses heavily on cloud native architecture, which has become a quiet but important part of any serious generative AI project given how much infrastructure is needed to run models reliably at scale. Their engineers are comfortable working across AWS, Azure, and Google Cloud, and they often help clients figure out the most cost effective way to host AI features without overpaying for compute that goes unused outside of peak hours. Startups that are technically minded but want a partner to help manage the infrastructure side tend to work well with this team. Their smaller team size means founders typically deal directly with the engineers building the system, rather than through a layered account management structure.

18. Solwin Infotech

Solwin Infotech started out in the WordPress and custom plugin space and has since expanded into broader full stack and AI development work, which gives them an interesting angle for businesses that already run on WordPress or WooCommerce and want to add AI features without a full platform rebuild. Their rates are among the more accessible on this list, making them a practical option for smaller businesses or early stage founders who need to be careful with budget while still getting reliable engineering work. Communication happens mostly through async tools and scheduled calls, which suits founders who prefer a structured weekly check in over constant back and forth messaging.

19. Code Computerlove

Code Computerlove has a long history in the Manchester tech scene and has gradually shifted its focus toward AI powered digital products over the past few years. Their process puts a noticeable amount of weight on user research before development begins, which means generative AI features tend to be built around an actual identified need rather than added because a client asked for them without a clear use case. Mid-size UK businesses looking for a partner with strong local presence and a collaborative way of working often find this team a good cultural fit. Their proposals tend to include a clear breakdown of design versus engineering hours, which helps clients see exactly where their budget is going before work begins.

20. Brainvire

Brainvire offers a wide menu of full stack software development services, and over the last couple of years they have built out a dedicated generative AI division to sit alongside their existing e-commerce and enterprise application work. Their scale means they can usually staff a project quickly, which is useful for companies on a tight timeline, though it also means it is worth asking specifically about the experience level of the engineers assigned to your account rather than assuming everyone on the bench has deep AI specific expertise. They also offer a useful middle ground for companies that want enterprise scale delivery capacity but are not yet ready for the higher rates charged by firms like ThoughtWorks or Endava.

4.Making the Final Call

Reading through 20 company profiles can start to blur together after a while, so here is a simpler way to narrow things down. Write out your three biggest constraints, budget, timeline, and the complexity of your data, then cross off any firm whose specialization does not match what you actually need this quarter rather than what might be useful someday.

The best generative AI full stack development companies in the UK are not necessarily the ones with the longest client list or the flashiest case studies. They are the ones who ask hard questions about your data before quoting a price, who explain their reasoning instead of just their tech stack, and who are honest when a feature you want is not actually worth building yet. Take that approach into your shortlisting calls and you will end up with a partner, not just a vendor.

One final piece of advice: before committing to a full development project, consider starting with a short paid discovery engagement. It is a cost-effective way to evaluate a team’s communication, technical expertise, problem-solving approach, and overall project fit. Contact us to schedule a discovery session and explore how our AI-powered full stack development experts can help bring your vision to life with confidence.