We build custom AI systems, LLM integrations, computer vision, and predictive analytics for Liverpool businesses, in a city with a genuine and growing presence in the UK's AI landscape. We keep strategy, model development, integration, and monitoring with one team, not split across separate vendors.
Built by a Team That Ships AI Products, Not Just Demos
Liverpool's AI ecosystem has grown steadily enough to earn a place among the UK's leading cities for AI readiness, and local expectations have grown alongside it. Every Liverpool AI build runs entirely in-house, from discovery through deployment and monitoring.
A Roadmap You Can Set a Watch By
We build production-grade AI systems for Liverpool businesses. The roadmap for every engagement is milestone-driven, and it only gets set once data readiness has been genuinely, honestly assessed.
GMT and BST Hours, Genuinely Covered
Our teams keep dedicated India-UK overlap hours structured around GMT and BST, so Liverpool clients stay connected through Slack, Jira, and GitHub for the length of the engagement.
Built for Explainability, Not Just Accuracy
We design AI systems that can be audited and explained, not just ones that score well on a benchmark, because a model nobody can explain is a liability for a Liverpool business, not an asset.
Ratings That Hold Up Past Liverpool
Clutch and Google scores are earned across AI, mobile, and commerce work, delivered by engineers who build in RAG pipelines, computer vision, and production LLM integrations daily.
Platform Ratings
What our clients say across leading platforms.
Google, 4.9 out of five stars
4.9★★★★★★★★★★
Clutch, 5.0 out of five stars
5.0★★★★★★★★★★
GoodFirms, 4.8 out of five stars
4.8★★★★★★★★★★
What clients love about working with us
Milestones That Land When Promised
Milestones get tracked and sprints held accountable, keeping engagements on schedule with visibility throughout, not just at a final demo.
Nothing Gets Buried in an Inbox
Dedicated overlap hours keep planning, model reviews, and deployment real-time, with nothing important left waiting in a channel.
Trusted With Real Production Data
We build to a documented architecture with data-handling standards set from the start, not discovered the hard way after an incident.
A Long-Term AI Partner, Not a Vendor
A model left unmonitored drifts, which is why most clients stay on well past launch, and why we design for that reality from the beginning.
Why Liverpool Businesses Choose Akoode
Liverpool ranked ninth in the UK's 2026 AI Cities Index, part of a genuine top-ten national ranking rather than a struggling regional afterthought. We build every Liverpool AI project with that same level of seriousness.
GMT and BST overlap. Our India-UK delivery model is structured to provide dedicated overlap during Liverpool business hours for sprint planning, model reviews, and deployment.
Pricing in GBP. Everything is quoted and invoiced in GBP, leaving no room for currency ambiguity.
Every model and pipeline in this build is written by our own team, nothing contracted elsewhere.
A single senior engineer stays attached to this build from the opening discovery call through to deployment.
We build with UK GDPR and the Data Protection Act 2018 in mind from the outset, looping in your legal team wherever formal compliance sign-off is required.
Working Hours Built Around GMT and BST
Structured India-UK overlap windows keep planning, model reviews, and deployment calls landing inside Liverpool's own working day.
Built With AI Technology Chosen to Last
Long-term reliability under real traffic is the rule here, frameworks and vector databases earn their place by holding up, not by trending. That keeps a Liverpool AI system maintainable years after launch, not just at release.
Sector Depth Beyond a Single Vertical
Deep delivery experience across Liverpool's dominant industries: Logistics & Supply Chain, Retail & E-Commerce, Manufacturing.
Support That Doesn't End at Deployment
Model monitoring, drift detection, and retraining continue after launch, so a Liverpool AI system stays accurate as real-world data shifts, not just on demo day.
The Six Things a Liverpool AI Engagement Actually Covers
Whether the client is a two-person Liverpool startup testing a first AI feature or an enterprise retooling a core workflow, every engagement covers the same ground: strategy, data readiness, model development, integration, and support that continues past launch day. As a working guide, UK AI pricing runs from £8,000 for straightforward integrations up to £75,000-plus once you're into enterprise territory.
01
AI Strategy and Discovery for Liverpool Businesses
Most AI projects that go wrong go wrong before a single model gets trained, in the gap between what a Liverpool business wants and what its actual data can support. Every project opens with an honest read on the data, not a confident-sounding roadmap that's really just optimism in disguise.
Data readiness and quality assessment before any commitment is made
Use-case prioritisation based on real business impact, not novelty
Build-versus-buy analysis for off-the-shelf APIs versus custom models
A scoped technical roadmap with realistic milestones
Custom AI and Machine Learning Development in Liverpool
When an off-the-shelf API can't do what a Liverpool business actually needs, we build custom models: classification, prediction, and recommendation systems trained on real data, not a generic public dataset.
Custom classification, prediction, and recommendation models
Model training, validation, and performance benchmarking
MLOps pipelines for retraining as new data arrives
Explainability built in from the architecture stage, not bolted on
Generative AI and LLM Integration for Liverpool Teams
We integrate LLMs into real business workflows for Liverpool teams, RAG pipelines grounded in a client's own documents, AI assistants that actually know the business, and content generation tools that don't hallucinate their way into a compliance problem.
RAG pipelines grounded in your own documents and data
In-app AI assistants using OpenAI, Anthropic, and open-source models
Prompt engineering and evaluation frameworks, not guesswork
Guardrails and output validation built in from day one
Computer Vision Development for Liverpool Businesses
From defect detection on a production line to document processing in a back office, we build computer vision systems for Liverpool businesses trained on real operational images, not stock photo datasets that fall apart in production.
Object detection, classification, and image segmentation
Document processing and optical character recognition
Quality inspection and defect detection for manufacturing
Real-time video analysis for production environments
AI-Powered Automation and Predictive Analytics in Liverpool
We build predictive models and automation that actually change how a Liverpool business operates, demand forecasting, anomaly detection, and workflow automation grounded in real historical data, not a dashboard nobody acts on.
Demand forecasting and anomaly detection models
Workflow automation triggered by predictive signals
Recommendation engines tuned to real customer behaviour
Dashboards built for decisions, not just reporting
A model that isn't monitored drifts, quietly, until it's making bad decisions nobody notices until the damage is done. We provide ongoing monitoring, retraining, and performance tracking so a Liverpool AI system stays accurate as real-world data changes.
Model performance monitoring and drift detection
Scheduled retraining as new data becomes available
Cost and latency optimisation for production inference
Flexible staff augmentation when an in-house team needs extra AI capacity
How an AI Project Gets Built in Liverpool, Step by Step
Six stages that keep every Liverpool AI engagement transparent and accountable, from the first data conversation through deployment and beyond.
Stage 01
Discovery and Data Assessment
Every Liverpool engagement starts with a genuine assessment of what data actually exists and what state it's actually in, not an assumption that the data is ready simply because someone said it was.
Timeline
1 to 3 weeks
Most engagements find this stage runs longer than expected, because an honest data assessment genuinely takes time to do properly.
You receive
Data readiness and quality report
Use-case feasibility assessment
Technical scope document with realistic milestones
Risk register covering data, compliance, and integration risks
What'sActually Running Underneath a Liverpool AI Build
What's here is chosen for durability in production, never for a leaderboard placement. OpenAI and Anthropic cover most generative needs adequately on their own. PyTorch and TensorFlow get reserved for genuinely bespoke model work.
PyTorch
TensorFlow
scikit-learn
HuggingFace
Results We're Happy to Show You
Genuine AI projects, genuine outcomes: model performance, adoption, and business impact you can put in front of your own leadership.
AI-Powered Pelvic Floor Fitness App
Key Outcomes
300ms
Max Feedback Latency
2
Platforms Live
Challenge
Pelvic floor rehabilitation requires a level of movement precision that standard fitness apps are not built to verify. Users performing exercises at home have no mechanism for knowing whether their form meets the biomechanical criteria that make the exercise therapeutic rather than harmful. Building a platform that bridges that gap requires solving problems in real-time pose validation, data privacy, cross-platform delivery, and subscription-based programme access that most fitness app frameworks do not address out of the box.
What We Built
The brief required productising a validated AI proof of concept into a fully deployable, subscription-based mobile fitness platform. The finished system needed to deliver real-time pose correction on standard smartphones, support structured 12-week pelvic health programmes with group and subscription access controls, and give M2 Method's team complete independence to manage content, users, and programmes without developer involvement.
Hair transplant consultations have not kept pace with patient expectations. Most clinics still rely on manual scalp inspection, verbal outcome descriptions, and approximate graft estimates that vary between practitioners. For a patient making a significant financial and personal decision about a visible aesthetic procedure, that process generates more hesitation than confidence. The clinics with the strongest clinical capability are often losing patients not because of their outcomes but because of how those outcomes are communicated before treatment begins.
What We Built
The brief required a complete AI-powered consultation platform that could run on flagship smartphones, deliver scalp analysis results within seconds, simulate post-transplant outcomes in real time, calculate graft counts and pricing through a standardised engine, and support at-home patient assessment as well as in-clinic use. Every objective connected directly to a specific point in the patient decision journey where the existing process was creating friction or losing conversions.
High-ticket real estate buyers do not convert the way e-commerce shoppers do. They research for weeks, visit multiple platforms, talk to multiple agents, and still leave most sites without taking any action. The platforms dominating Indian real estate search are built for discovery at scale, not for decision support at depth. For a consultancy where the average transaction involves crores, a website that shows listings and a contact form is not a business asset. It is a missed opportunity.
What We Built
The brief was not to build a listings website. It was to build a digital advisory platform where AI handled early buyer guidance, WhatsApp handled lead conversion, and the listings engine handled discovery. Every feature was mapped to a specific moment in the buyer journey where the previous experience was creating friction or losing the conversation entirely.
Akoode has delivered AI systems across the industries that make up Liverpool's economy, tuned to real regional data rather than a generic default.
1
Real Estate
AI-powered valuation and lead-scoring tools for property platforms in Liverpool, trained on regional pricing data rather than a generic UK-wide default.
Demand forecasting and predictive-maintenance AI for energy and utility providers around Liverpool, tuned to real seasonal and regional consumption patterns.
Senior-led delivery and a no-subcontracting model that gives Liverpool clients direct access to the people actually building their AI system.
Awards & Recognitions
Recognised by leading platforms, startup ecosystems, and global technology communities.
Every Model Stays In-House, Start to Finish
Nothing here gets farmed out to a third party, at any stage. Whoever's on the call is whoever's building it, ML engineers and data scientists included, with nothing routed through a middleman.
AI Built to Earn Enterprise Trust
We build AI into the product from the first sprint, with each feature required to earn its place through real production value, not a good demo.
One Senior Engineer Owns the Whole Build
A senior engineer leads every Liverpool project, directly involved in architecture decisions, model reviews, and deployment, writing code alongside the team rather than managing tickets from a distance.
Trust-Grade Compliance From the First Sprint
UK GDPR, the Data Protection Act 2018, and any relevant sector regulator's expectations all get built into a Liverpool AI system from the first design sprint, rather than left as a last-minute scramble before launch.
Talk Directly with Our Founder
Discuss your software vision, AI roadmap, and delivery strategy with the team leading product engineering at Akoode.
Straight answers on process, pricing, timelines, compliance, and what working with Akoode actually looks like for Liverpool AI projects.
Three real bands cover most UK AI projects in 2026. A simple API integration, wiring an LLM like GPT or Claude into something you already run, typically costs £8,000 to £15,000. A custom model built specifically on your own data usually lands between £15,000 and £75,000. Enterprise-scale work or a genuinely custom fine-tuned model starts around £75,000 and climbs from there depending on how messy or extensive the underlying data is. We'll narrow that down to an actual figure once we've looked at your data properly.
We match the tool to the actual problem. Off-the-shelf APIs cover most generative needs efficiently. Custom models make sense once your data or use case is specific enough that a general-purpose model falls short. Discovery decides, not assumption.
There's no size cutoff here. Startups shipping a first AI feature, growth-stage companies scaling something already working, and enterprise teams running larger transformation programmes are all part of the mix. The model shifts to fit each one.
Our teams operate dedicated India-UK overlap hours structured around GMT and BST, so Liverpool clients get real-time collaboration during planning, model reviews, and deployment through Slack, Jira, GitHub, and weekly sprint reporting.
A dedicated team means a complete unit assigned to your work, ML engineers, data scientists, technical lead, all of it. Staff augmentation is smaller in scale: one or two specialists dropped into a team structure you already run, there to close a gap rather than build something new.
Send your project through the contact form on this page and it gets read personally by a senior team member, with a reply within a business day. Complex data situations usually warrant a short paid discovery phase upfront.
We build this in at the architecture stage deliberately, rather than reacting to it once it's already a problem. Anywhere personal data is involved, UK GDPR and the Data Protection Act 2018 get mapped directly into the model design, including a clear answer for how a given decision could be explained if a client is ever asked to justify one.
Baseline support means monitoring, drift detection, and keeping infrastructure current as the underlying models change. From there, scheduled retraining and cost or latency tuning typically get added once production volume is real.
Data readiness matters more here than almost any other single factor. A tightly scoped API integration is usually live within four to six weeks. Training a custom model on your own data generally takes eight to fourteen weeks end to end, longer if there's real cleanup standing between the raw data and anything trainable.
We do both regularly, though integration into an existing product or workflow is more common than starting standalone. Whichever it is, the AI work is designed around your existing systems, not tacked on afterward.
Honestly, that's the norm rather than the exception, and it's exactly why discovery exists. Data quality gets assessed truthfully upfront, and if real cleanup work is needed before a model can train on it properly, that becomes its own scoped and quoted piece of work rather than something quietly rushed and buried inside the build.
This happens more often than you'd think. First comes a technical audit of whatever already exists, the model, the pipeline, the codebase, then an honest quality and risk assessment, and only then a remediation plan before development actually resumes.
Always, and well before any genuine specifics are on the table. Everything a finished engagement produces, models, code, documentation, is yours outright once it's done; we retain nothing.
Not a dedicated one, by deliberate government choice. The UK set out a pro-innovation, principles-based approach in its March 2023 White Paper, deciding against a single horizontal AI law like the EU's. Instead, existing regulators, the ICO for data protection, the FCA for financial services, the MHRA for medical AI, the CMA for foundation models, apply five cross-cutting principles within their own sectors. The Data (Use and Access) Act 2025 also came into force in large part from February 2026, updating the rules around automated decision-making while keeping the underlying safeguards. We build to that real framework, not a horizontal AI Act that doesn't exist here.
Yes, this matters more than most people expect. Production data drifts from training data slowly enough to go unnoticed, until it isn't. Monitoring, drift detection, and scheduled retraining are available as a retainer or an as-needed service.
Our strongest sector experience in the Liverpool AI market covers Logistics & Supply Chain, Retail & E-Commerce, Manufacturing, with data-handling and explainability standards built to what those industries actually require.
Reading for Liverpool AI Product Teams
Practical guidance on AI strategy, model deployment, and technical decisions for founders and product leaders building with AI.
Tell us what you're working on and we'll reply with a scoped estimate plus a recommended direction.
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IP Ownership
100% yours from day one
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