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AI Development Services in London

Myth Digital is an AI development company in London. Our Shoreditch studio builds AI products end to end, from in-person discovery through model integration to production deployment, with a senior in-house team of engineers and designers. Pilot features typically ship in weeks, not quarters.

  • In-house engineering and design from Shoreditch
  • Milestone-based delivery with clear deliverables
  • Discovery to production, no offshoring
Book a discovery callSee our services
Since 2015 Building digital products
300+ Projects delivered
In-house London and Belfast teams
Myth Digital's London studio in Shoreditch with team members working together at laptops

We handle every stage of your AI build from our London studio. Our senior in-house team runs discovery workshops, shapes your data strategy, selects and fine-tunes models, designs the UX, wires API integrations, deploys to Azure and monitors production.

Explore our services

AI development services cover the full spectrum of work needed to move from idea to live product. We start with in-person discovery at our Shoreditch office, mapping your data landscape and identifying where AI adds real value. From there our engineers and designers handle model selection and fine-tuning, UX design, bespoke software builds and API integration with your existing systems. Every project deploys on Microsoft Azure with monitoring in place from day one. There's no offshoring or subcontracting. The people you meet in the workshop are the same team writing your production code.

AlphaVictor
Bushmills
Coca-Cola
Complieye
Elecsys
Glen Dimplex
LifePass
The Lir
NHS
The North Face
Perks
Queen's University
Deep RiverRock
SPAR

What AI capabilities do we build?

  • Language Models

    LLM Integration

    We connect large language models to your existing systems, building retrieval-augmented generation (RAG) pipelines and prompt layers tuned to your domain data.

  • Conversational AI

    NLP and Chatbots

    Custom chatbots and natural language interfaces that handle real queries, route conversations and learn from feedback. Built on your data, hosted on Azure.

  • Intelligent Automation

    AI Workflow Automation

    Agent-based workflows that automate repetitive processes. Document triage, approval routing, data extraction: the kind of work that eats your team's week.

  • Forecasting

    Predictive Analytics

    How confident are you in next quarter's numbers? We train models on your operational data to surface trends, flag risks and support faster decisions.

  • Visual Intelligence

    Computer Vision

    Image classification, object detection and visual inspection systems integrated into your product or internal tools. We set clear accuracy benchmarks before go-live.

  • Data Engineering

    Data Pipeline Architecture

    Clean, reliable data pipelines built in Python and hosted on Azure. Good AI features need solid foundations, so we structure ingestion, transformation and storage properly from the start.

Myth Digital team at work in the studio

Why does in-person discovery change what you ship?

Remote calls miss context. When our team runs discovery workshops face to face from our Shoreditch studio, we catch assumptions early, align stakeholders faster and develop solutions together. That matters doubly for AI features. Edge cases hide in how real people phrase questions or react to outputs.

We run local user testing with actual London users before a feature reaches production. Watching someone interact with an AI prototype in person reveals friction that screen recordings and analytics simply don't capture. The result is sharper requirements, fewer rework cycles and AI features people actually adopt.

How do we handle data and security?

Every AI project we build follows a structured technical approach. Here's how we handle model hosting, data, integrations and ongoing performance for UK clients.

Model Selection and Hosting
Myth Digital team at work in the studio

Model Selection and Hosting

The right model depends on your data, latency requirements and budget. We test before we commit.

  • Model providers and frameworks are selected per project based on your specific constraints
  • All hosting runs on Microsoft Azure, with options for private or shared cloud instances
  • We benchmark candidate models against your real data before committing to a production choice
Data Handling and GDPR Compliance
Compliance dashboard with stats and a UK map

Data Handling and GDPR Compliance

Your data stays under your control. We build with UK data protection requirements from day one.

  • Lawful basis for processing is established during discovery and documented before any training data is used
  • Anonymisation and pseudonymisation are applied where personal data touches model pipelines
  • Data residency stays within UK or EEA Azure regions unless you specify otherwise
  • Retention and deletion policies are defined per milestone and handed over with the build
Integration Patterns
Myth Digital team at work in the studio

Integration Patterns

AI features plug into your existing systems cleanly. Nothing gets ripped out that already works.

  • RESTful APIs built in C# / .NET Core expose model outputs to your front-end or back-office tools
  • Inference pipelines are designed for async or real-time use depending on your latency needs
  • Python handles AI-specific logic alongside the broader .NET and React stack
Security and Compliance
Interior of a modern office workspace

Security and Compliance

We follow UK guidance on securing AI systems throughout the build.

  • Role-based access controls and encrypted data at rest and in transit across Azure infrastructure
  • Builds are aligned with NCSC and ICO principles for AI transparency and accountability
  • Audit logging on model inputs and outputs lets you demonstrate compliance to regulators
Monitoring and Iteration Post-Launch
Laptops open on a table in a working environment

Monitoring and Iteration Post-Launch

Shipping is step one. What happens next determines whether the feature actually delivers value.

  • Model accuracy, latency and error rates are tracked through Azure monitoring dashboards
  • Feedback loops let real user behaviour feed back into model tuning
  • Milestone-based iteration keeps improvements tied to measurable outcomes
Myth Digital team members working together on laptops in the Shoreditch studio

Your team, under one roof

Every project is built by our senior in-house team across engineering, AI, UX/UI design and QA. Product strategists run discovery. ML engineers and full-stack developers write the code. Designers shape the interface. The people you meet in our Shoreditch studio are the people who build your product.

We don't offshore or subcontract. If you have an existing technical team, we embed alongside them, sharing repos, standups and tooling so there's no handoff gap. One team, one codebase, built from London.

Where are you starting from?

AlphaVictor app Make it happen The North Face campaign AI development Newell Stores app Software development Juice Jar app App development MPS Data Discovery to deployment The Lir website In-house UK team

How does an AI development project work?

Most pilot features ship in a matter of weeks. Production-ready integrations take longer depending on scope. Here's how we break that down.

  1. Discovery and Scoping

    We run in-person workshops at our Shoreditch studio to map your problem, define success metrics and agree milestone deliverables. This is where the shape of the project gets set.

  2. Data Audit and Model Selection

    Our team reviews your data landscape, identifies gaps and selects the right model architecture. This typically runs alongside discovery.

  3. UX Design and Prototyping

    Designers and engineers collaborate on interactive prototypes you can test with real users locally.

  4. Sprint-Based Build

    We build in focused sprints with working demos at each milestone. Pilot builds are shorter. Production integrations run longer depending on complexity, but you see progress throughout.

  5. Testing and User Validation

    Local user testing sessions from our London office surface real feedback before launch.

  6. Deployment and Monitoring

    We deploy to Microsoft Azure with monitoring in place from day one. Post-launch, we track model performance and either hand over to your team or continue iterating with you.

Myth Digital team at work in the studio
Our track record

Cross-sector AI delivery from our in-house team since 2015

Since 2015
Delivering digital products
100%
In-house, no offshoring
2 UK studios
London and Belfast
See all our services

  • Hospitality and venue management

    AI-driven tools for real-time operations, space management and customer experience. We build features that work under pressure in busy, physical environments.

  • Food and beverage brands

    From ordering platforms to supply chain automation, we've built products that handle high transaction volumes and integrate with existing systems.

  • Recruitment and HR platforms

    Intelligent matching, candidate screening and workflow automation. Our AI builds help teams reduce manual effort and surface better results faster.

  • Product configuration tools

    Complex product selection simplified through AI-assisted recommendations and guided workflows. We build configurators that reduce errors and speed up quoting.

  • Retail and consumer brands

    Mobile apps, in-store integrations and personalised experiences. We've delivered cross-platform builds that connect digital touchpoints with physical retail.

  • Bespoke software and integrations

    Legacy system modernisation, API layers and custom dashboards. Our team connects new AI features to the tools your organisation already relies on.

Projects from our studio

How much does AI development cost in London?

We price every engagement around milestones, not time-and-materials. Each tier below ships defined deliverables at agreed checkpoints, so you know what you're paying for before work begins.

  • A short, focused engagement

    Discovery Sprint

    A few thousand pounds

    Validate the opportunity before you commit to a full build. You get a clear technical direction and a costed roadmap.

    • In-person discovery workshop at our Shoreditch studio
    • Data and systems audit
    • Feasibility assessment with architecture outline
    • Prioritised feature roadmap
    • Costed milestone plan for the next phase
  • A focused engagement over several weeks

    AI Pilot / MVP

    Typically a five-figure investment

    Ship a working AI feature or standalone MVP your team and users can test in production conditions.

    • UX/UI design and interactive prototype
    • Model selection, fine-tuning or integration
    • Core feature build on Azure
    • Local user testing from our London office
    • Deployment to a staging or live environment
  • A longer engagement depending on complexity

    Production Integration

    Scoped individually per project

    Full integration of AI capabilities into your existing product or platform, built for scale and security.

    • End-to-end architecture and API design
    • Production model hosting on Azure
    • Integration with your existing systems and data
    • Security review and GDPR compliance checks
    • Handover, documentation and support transition

All prices are indicative. We scope and quote after a discovery conversation, so your proposal reflects your actual requirements.

Are we the right fit?

We're not for everyone, and that's fine. Here's how to tell quickly.

A great fit

  • You want a hands-on London team you can meet face to face
  • You need AI integrated into an existing product or workflow
  • You value transparent, milestone-based delivery with clear deliverables
  • You want the same senior team from discovery through to production
  • You prefer in-person collaboration and local user testing

Not the right fit

  • You're looking for the lowest-cost offshore option
  • You need pure academic research with no shipped product
  • You want a single freelancer rather than a cross-discipline team
  • You need a team to work on-site at your office full time
  • You're after a white-label reseller, not a build partner
FAQ

AI development FAQs

What do AI development services include?

Our AI development covers discovery workshops, data preparation, model selection, UX/UI design, back-end integration and production deployment. We handle everything from early prototyping through to a live, monitored system you can build on.

How long does an AI build usually take?

Timelines vary by scope. A focused pilot typically ships in a matter of weeks. Production integrations run longer. We scope milestones during discovery so you have a realistic timeline before committing.

How is an AI development project priced?

We use milestone-based pricing. Each milestone has defined deliverables and acceptance criteria, so you know what you're paying for before work starts. No open-ended retainers or surprise invoices.

Where is the team based and who builds the product?

Our senior in-house team works from studios in Shoreditch, London and Belfast. The engineers, designers and AI specialists you meet in discovery are the same people who build your product. We don't offshore or subcontract.

What tech stack do you use for AI projects?

We typically use Python for AI and ML work, C# / .NET Core for back-end services, React for front-ends and React Native for mobile. Everything is hosted on Microsoft Azure. Model and tooling choices are made per project based on your requirements.

How do you handle data privacy and GDPR?

Data handling is scoped during discovery. We identify lawful bases for processing, apply anonymisation where appropriate and keep storage within compliant Azure regions. Privacy by design is built in from the start.

Can you integrate AI into our existing product?

Yes. Many of our projects involve adding AI features to live systems rather than building from scratch. We audit your current architecture, identify integration points and deploy new capabilities without disrupting what already works.

What happens after launch?

We monitor performance, review model accuracy and address issues that surface with real usage data. From there we can hand over with full documentation or continue iterating in further milestone phases.

Explore Our Services

Browse related services, technical guides and industry solutions from our team.

AI & Machine Learning

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UX, Design & Prototyping

Resources & Insights

Visit us

Visit our Shoreditch studio

White Collar Factory, Old Street Yard, EC1Y 8AF. We run discovery workshops and user testing sessions from our studio in London's tech quarter. Drop in or book a session.

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London Office White Collar Factory
Old Street Yard, London EC1Y 8AF +44 20 7458 4569 Get directions
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