Software Development Company in Nottingham

Nottingham has spent a century making things used by millions of people at once. Akoode develops custom software, AI systems and data platforms for consumer, health and financial organisations here.

UK Client Projects

Delivering software for Nottingham's consumer, health, financial services and creative organisations, sprint after sprint.

+ 58%
Software engineer building a consumer-scale data platform for a Nottingham client

AI-Powered Solutions

Intelligent, scalable, and future-ready software built for modern businesses.

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110+ Happy Clients trust Akoode globally
⭐ 5/5 on Clutch

180+

Projects Delivered

Across global markets

97%

Client Retention

Long-term technology partnerships

30+

AI-Powered Solutions Built

Scalable AI systems for modern businesses

15+

Industries Served

From FinTech to HealthTech and SaaS

At Nottingham Scale, a Rounding Error Has a Name and an Address

A system serving half a million people turns a 0.1 percent defect rate into five hundred individuals having a bad day, several of whom will ring you about it. That arithmetic changes how software should be built, and it drives the four habits below.

We Test the Unglamorous One Percent

Most defects that reach real users live in the cases nobody demos: the apostrophe in a surname, the account created in 2009, the order placed as a promotion expires. Test coverage goes there deliberately.

Errors Are Visible, Not Silently Absorbed

A system that quietly swallows a failed payment or a dropped record is worse than one that stops, because nobody finds out until a customer does. Failure paths get designed alongside the happy ones.

Load Figures Come From Your Real Peaks

Sizing built around average traffic falls over on the day that matters, whether that is a product launch, a payday or a January surge. We ask for genuine peak numbers during architecture.

Someone Can Answer What Happened to This Person

When an individual customer's record behaves oddly, your team needs to reconstruct what occurred without a developer digging through logs for an afternoon. Auditability at individual level is designed in.

Platform Ratings

What our clients say across leading platforms.

Google, 4.9 out of five stars
Google
4.9
Clutch, 5.0 out of five stars
Clutch
5.0
GoodFirms, 4.8 out of five stars
GoodFirms
4.8

What clients love about working with us

Built for the Scale You Actually Operate At

Peak load figures come from your real numbers rather than a comfortable average.

Failures That Surface Instead of Hiding

A dropped record or failed payment raises an alert rather than being quietly absorbed until a customer notices.

One Customer's History, Reconstructable

When an individual record behaves oddly, your team can trace what happened without a developer reading logs all afternoon.

Tested Where Real Users Actually Break Things

Coverage goes to the awkward cases: the unusual surname, the decade-old account, the expiring promotion.

A City Built on Things Millions of People Use

Ibuprofen was developed here, at Boots. So, at the university, was magnetic resonance imaging. Two things used constantly, worldwide, by people who have never given a thought to where they came from, which is a reasonable summary of what Nottingham does well. Boots still runs a large campus at Beeston as the area's biggest private employer, and around it sits a genuine life sciences cluster: BioCity, on a former Boots research site, is among Europe's larger life science incubators, with MediCity focused specifically on consumer healthcare, diagnostics and medical technology.

The other half of the city's character is consumer data. Experian's UK headquarters is here, which means Nottingham hosts one of the places where credit information about a very large share of the British population is processed. Capital One's UK operation is in the city too. Software built in this environment carries an obligation easy to state and hard to live up to: the record in the database is a person, decisions made about it affect their life materially, and being wrong about one in a thousand of them is several thousand people.

Then there is the part that surprises people. Games Workshop, a FTSE 100 company, is headquartered in Nottingham and has built an unusually devoted global customer base from here. The Creative Quarter around the Lace Market and Hockley supports a dense set of studios and agencies, and the city's manufacturing history in lace, bicycles and hosiery still shapes how the place thinks about making things properly at volume.

Where Ibuprofen and MRI Came From

Both were developed in Nottingham, which says something durable about the city's habit of making things that reach very large numbers of people.

A Consumer Healthcare Cluster With a Pedigree

BioCity occupies a former Boots research site and is among Europe's larger life science incubators, with MediCity focused on consumer health and diagnostics.

Consumer Data at National Scale

Experian's UK headquarters and Capital One's UK operation make Nottingham a genuine centre for data about individual people.

A FTSE 100 Company Built on Devoted Customers

Games Workshop runs a global business from Nottingham, alongside the Creative Quarter's studios and both universities' enterprise programmes.

Nottingham city centre and Lace Market representing the local consumer, health and creative economy

Software Development Services for Nottingham Businesses

From consumer platforms that hold under real peak load to systems handling personal data for hundreds of thousands of people, these are the services Nottingham organisations ask for most. Senior engineers, a scope fixed before billing starts, and failures that surface instead of hiding.

01 / 06Software Development
Service 01

Custom Software Development in Nottingham

Building for the general public is harder than building for staff, because you cannot train your users, cannot assume a decent connection, and cannot rely on anyone reading an instruction. The difficulty is rarely the core feature. It is the twenty percent of people who will use the system in a way nobody anticipated.

  • Discovery run with the people using the system daily, not only the sponsor
  • Interfaces that work for varied ages, devices, connections and confidence levels
  • Error handling that tells a real person what to do next, in plain language
  • Automated test coverage on the workflows that would hurt if they failed
  • Handover documentation aimed at an engineer who has never met us
Node.jsTypeScriptPostgreSQLReact
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02 / 06eCommerce Solutions for Businesses
Service 02

eCommerce Solutions for Nottingham Retail and Consumer Brands

Retail software fails in public and usually at the worst possible moment. Nottingham has enough retail and consumer-brand headquarters that we see the same pressure points repeatedly: stock figures that stop being true, promotions interacting badly, and checkout behaviour under load nobody tested for.

  • Order and inventory systems that stay accurate across channels under real load
  • Subscription, billing and renewal logic built for the edge cases that generate complaints
  • Promotion and pricing engines tested against combinations, not just individually
  • Point-of-sale, warehouse and fulfilment integration keeping figures honest
  • Peak-readiness work done before the peak rather than diagnosed afterwards
Node.jsPostgreSQLRedisAWS
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03 / 06Big Data Analytics Services
Service 03

Big Data and Customer Data Platforms in Nottingham

Systems holding records about individual people carry obligations beyond the technical: subject access requests arrive with deadlines, deletion has to actually happen everywhere, and a record merged wrongly creates a problem genuinely difficult to unwind.

  • Identity resolution that is conservative about merging records it should not
  • Subject access, correction and deletion built as working features, not manual processes
  • Consent and preference management honoured consistently across every system
  • Audit trails that reconstruct what happened to one individual's data and when
  • Retention rules enforced automatically rather than depending on somebody remembering
PythonPostgreSQLAzureClickHouse
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04 / 06Artificial Intelligence
Service 04

Artificial Intelligence and Decision Systems in Nottingham

Where a model influences something affecting a person, whether an offer, a price, a recommendation or a priority, the engineering question shifts. It stops being about average accuracy and becomes about who the errors land on, and whether a human can overturn a decision when it is wrong.

  • Retrieval systems grounded in your own content with answers traced to source
  • Models evaluated for how errors distribute across groups, not just overall accuracy
  • Clear override paths so a person can reverse an automated decision
  • Monitoring for drift, so a model degrading quietly does not go unnoticed
  • Documentation of how a decision was reached, for the times somebody asks
PythonPyTorchOpenAI APIPinecone
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05 / 06Mobile App Development Services
Service 05

Mobile App Development in Nottingham

A consumer mobile build lives or dies on conditions nobody demos: a mid-range phone on a poor connection, a permission denied, a session resumed three weeks later. Those get designed for from the start rather than patched after the app-store reviews arrive.

  • Native iOS and Android builds where performance genuinely requires it
  • Cross-platform builds using Flutter or React Native for one well-architected codebase
  • Performance budgets set for mid-range devices, not flagship handsets
  • Accessibility designed in from the start rather than audited before launch
  • App-store submission and compliance handled end to end
FlutterReact NativeSwiftKotlin
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06 / 06Cloud & DevOps Solutions
Service 06

Cloud and DevOps Solutions for Nottingham Teams

Organisations that have grown steadily accumulate infrastructure nobody fully understands, frequently configured by people who have since left. We begin with an accurate map, because modernising around a wrong picture is a reliable way to cause an outage.

  • Infrastructure audit documenting what genuinely runs before any migration
  • Infrastructure-as-code so environments stop depending on individual memory
  • CI/CD pipelines catching failures before customers encounter them
  • Autoscaling and cost management sized against your real traffic pattern
  • Disaster recovery rehearsed rather than merely documented
AWSAzureTerraformGitHub Actions
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Six Stages, and the Number We Watch at Each

Opinions about progress are easy to produce and hard to check. Each stage has something measurable attached, so the conversation about whether a project is healthy stays factual.

Work With a Similar Shape

Selected for resemblance to Nottingham briefs rather than recency, weighted toward consumer platforms, personal data systems and high-load retail work.

Commission Levels 4 TiersTravel & Hospitality - Canada

Building a Closed-Loop Ambassador Referral Platform for a Tourist Attraction

Replacing spreadsheet-tracked referrals with automated attribution, tiered payouts, and a live ticketing sync.

Commission Levels
4 Tiers
Live Ticketing Data
5-Min Sync

Sectors Behind Nottingham Software Projects

Fifteen industries, many of them serving the general public at scale. When a system reaches hundreds of thousands of people, small error rates stop being small.

Healthcare

Healthcare

Healthcare

Products built for the general public where accessibility is the core design problem.
Clinical and research data platforms handled under proper governance from the outset.
Diagnostics and medical technology software built to the standards the sector expects.
Integration with existing health systems rather than duplicating them.
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Retail and E-Commerce

Retail and E-Commerce

Retail and E-Commerce

Order and inventory systems that stay accurate across channels under real load.
Subscription and billing logic built for the edge cases that generate complaints.
Promotion engines tested against combinations rather than individually.
Peak-readiness work done in advance rather than diagnosed afterwards.
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Media and Entertainment

Media and Entertainment

Media and Entertainment

Community and customer platforms for brands with genuinely devoted audiences.
Backend services, telemetry and live-operations tooling for studios.
Digital asset management for large libraries with inconsistent metadata.
Analytics going past headline figures into actual customer behaviour.
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Finance and Banking

Finance and Banking

Finance and Banking

Systems holding personal financial data with audit trails at individual record level.
Decision tooling with clear override paths where an outcome affects a person.
Subject access, correction and deletion built as working features.
AI fraud detection tuned to your real transaction patterns.
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Automotive

Automotive

Automotive

Fleet management and telematics platforms for regional operators.
Dealer and aftersales systems integrating with manufacturer platforms.
Connected vehicle data pipelines built for real-time volume.
AI diagnostics trained on your own service history.
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Agriculture

Agriculture

Agriculture

Farm management systems for agribusinesses across the East Midlands.
IoT crop and livestock monitoring built for rural connectivity.
Traceability platforms meeting assurance scheme requirements.
AI yield forecasting built on your own field data.
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Telecommunication

Telecommunication

Telecommunication

Network and service management tooling for regional operators.
BSS and OSS platforms handling provisioning and billing.
Telemetry platforms sized for genuine infrastructure volumes.
AI churn and fraud detection on real subscriber behaviour.
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Manufacturing

Manufacturing

Manufacturing

Production and quality systems preserving the records customers audit.
Data capture from machinery never designed to provide it.
Predictive maintenance built on real sensor history.
Supply chain visibility across multi-site operations.
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Public Sector and Government

Public Sector and Government

Public Sector and Government

Citizen-facing portals meeting public sector accessibility standards.
Case management and document workflow for council and agency teams.
Data platforms built to public sector governance requirements
Integration with established government digital service patterns.
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Real Estate

Real Estate

Real Estate

Property management platforms handling tenancy, maintenance and compliance together.
Portfolio and valuation analysis for commercial holdings across the East Midlands.
Document automation for transaction-heavy processes.
Listing and search tools built for how buyers actually filter.
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Energy and Utilities

Energy and Utilities

Energy and Utilities

Consumption monitoring and smart metering data platforms.
Distributed asset management for renewable generation.
Sustainability reporting that tracks changing requirements.
Customer portals covering usage, billing and transparency.
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Travel and Hospitality

Travel and Hospitality

Travel and Hospitality

Booking platforms built to handle peak-season load.
Guest-experience apps tying check-in, requests and loyalty together.
Revenue management responding to genuine demand signals.
Integration with third-party channels without manual reconciliation.
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Education

Education

Education

LMS platforms shaped around how a course is actually taught.
Student and applicant systems handled with proper protection discipline.
Assessment tools scaling from a class to an institution.
Research data management for university and institute teams.
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Insurance

Insurance

Insurance

Claims platforms that cut manual handling without loosening accuracy.
Underwriting tools calibrated against your own loss history.
Policy administration covering renewals and adjustments cleanly.
AI fraud detection tuned to your claims patterns specifically.
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Logistics and Supply Chain

Logistics and Supply Chain

Logistics and Supply Chain

Route and fleet optimisation for East Midlands distribution operations.
Warehouse systems built around your actual physical layout.
Shipment visibility customers treat as a baseline expectation.
Carrier integration reconciling inconsistent data formats.
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How We Compare With the Other Four Options

You are realistically choosing between five things, and we are only one of them. Here is where each of the others is genuinely the better answer, and where we are.

Awards & Recognitions

Recognised by leading platforms, startup ecosystems, and global technology communities.

Top US-Based IT Services Firm 2026
Clutch
Outlook
Ai Automation
Business Standard
YourStory
Good Firms
Top Machine Learning Companies - Goodfirms
Top eCommerce Development Company
Entrepreneur
ZBusiness
Times of India
Hindustan Times
Top US-Based IT Services Firm 2026
Clutch
Outlook
Ai Automation
Business Standard
YourStory
Good Firms
Top Machine Learning Companies - Goodfirms
Top eCommerce Development Company
Entrepreneur
ZBusiness
Times of India
Hindustan Times

Against a large consultancy

They bring scale, formal governance and a brand your board already recognises, which genuinely matters on a multi-year transformation. What you tend to pay for is management structure. For a defined build under six months, that structure is overhead rather than protection, and that is where we compete well.

Against a local Nottingham agency

Proximity is worth real money when someone needs to sit with your team regularly, and local procurement conditions sometimes settle it outright. Our argument is senior engineering at a lower cost with sufficient hours of overlap. Where being in the room matters more than the rate, take the local option.

Against hiring in-house

Almost always better long term if you can recruit and keep the people. The catch is timing: senior hires take months and rarely align with a launch date or a funding milestone. We are frequently the bridge, and where your hiring pipeline is healthy we will say that building internally is the stronger answer.

Against freelancers

Cheaper, faster to start, and completely reasonable for a bounded piece of work. The risk arrives with continuity and with anything spanning several disciplines, since nobody owns the whole. If the work needs one person for six weeks, hire one person for six weeks.

Akhilesh K Verma, Founder of Akoode Technologies

Talk Directly with Our Founder

Discuss your software vision, AI roadmap, and delivery strategy with the team leading product engineering at Akoode.

Three Ways Nottingham Engagements Are Structured

Consumer-facing products usually move to a dedicated team once they are live, since public-facing systems need continuous attention. Internal systems more often suit a fixed-scope build.

What Nottingham Clients Ask Before Signing

Direct answers on budget, personal data, peak load and what an engagement actually feels like day to day.

It shapes the architecture rather than being a policy statement. Identity resolution is built to be conservative about merging records it should not, deletion has to work everywhere rather than in the main table, and audit trails need to reconstruct what happened to one individual. We would also rather your compliance lead reviews the design during architecture than after launch, when changes are considerably more expensive.
It is most of the design problem rather than a refinement at the end. Prototypes get tested with less confident users specifically, performance budgets assume mid-range phones and poor connections, and error messages are written to tell a real person what to do next. Testing only with enthusiastic users produces reassuring and misleading results.
There is roughly six and a half hours of overlap with Nottingham hours most days, and anything needing live discussion sits inside it. Written updates land before your morning stand-up. Teams that work asynchronously find this useful; teams wanting someone reachable at five in the afternoon find it less so, which is fair to weigh up front.
A dedicated team is a full cross-functional group working on your product as a unit, which suits organisations without internal engineering capacity. Augmentation adds specialists to a team you already have. If you already employ developers, augmentation is usually the better answer and we will say so.
You own it as written, and leaving is a supported outcome. Repositories and infrastructure are in your accounts from the first commit, so ending an engagement means revoking access rather than extracting anything from us. Documentation is written throughout for whoever maintains the system next.
Usually, beginning with a proper audit rather than a glance. On some inherited systems the honest recommendation is a staged rebuild, and it is better to establish that before committing budget than four sprints into remediation. You get the assessment before you decide.
Only if it is sized against your real peak, which is why we ask for actual figures during architecture rather than accepting a description. Systems built around average load are the ones that fail publicly on the busiest day of the year. Load testing then happens against those agreed numbers rather than a convenient approximation.
It depends on scope, integration count and data sensitivity. An MVP generally falls between £25,000 and £60,000 depending on how much is genuinely needed at launch. Consumer platforms handling personal data at scale sit higher. Scoping produces a detailed breakdown and a fixed proposal before you commit.
Yes, with conditions we would want agreed upfront. Errors need examining for how they distribute rather than only in aggregate, a person needs a clear route to overturn a decision, and there should be a record of how any given outcome was reached. Where a client wants a fully automated decision with no override on something materially affecting people, we would push back.
A tightly scoped MVP usually takes eight to twelve weeks. A consumer platform with billing, personal data handling and real peak load is closer to four to six months. Work involving governance approvals or messy source data takes longer, and you get dated milestones before development begins.
Yes, before any detailed technical or commercial conversation, using your template or ours. Everything created during the engagement transfers to you in full, with no retained rights over code, designs or documentation.
Fairly regularly. Usually it is an existing product that would meet the requirement for far less, an AI brief where achievable accuracy sits below the threshold that would make it useful, or a platform scoped well past what the current stage needs. Saying so during scoping costs us the work and saves you considerably more.

What Breaks First When Everyone Turns Up at Once?

Usually people already know the answer: the checkout, the reporting job, the one integration held together with goodwill. Start there. You will get a straight view on whether we are the right fit, a realistic cost range, and whether the timeline stands up. A senior engineer takes the call.

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