Custom software · Private AI · Geospatial · Secure infrastructure
TheCodeLives delivers custom software, private AI and secure infrastructure for companies and organisations: from live operational pictures to AI agents, deployed on premises or in the cloud and handed over in full.
The vision behind TheCodeLives: software, data and AI built around how each company and organisation works, running where needed and owned outright by the client.
Documents, imagery and operational data are processed in an environment the client controls, on premises or in the cloud, so AI and analytics are brought to the data, not the data to a service.
Platforms are designed around real workflows and teams, so technology adapts to the organisation instead of the other way round.
Open standards, full source code and portable systems keep every option open: to audit, extend, move or run offline.
01 Services
TheCodeLives delivers custom software, the infrastructure it runs on, AI that works with the organisation’s own data, and the integration that connects it all: one team from design to day-to-day operation.
Where TheCodeLives started, and still the core of every delivery: each service is engineered, versioned and handed over as code.
Digital transformation. When it is time to modernise end to end, all four combine into a digital transformation programme that is sequenced, measurable and owned by the internal team.
02 About
TheCodeLives started as a software development company, and code is still the centre of every delivery: software, infrastructure and AI designed, built and deployed for organisations that need full control over critical technology.
Senior teams design, build and run every delivery, from the first architecture sketch to day-to-day support.
Every engagement ends with source code, documentation and know-how in the hands of the client team, not in a licence.
No reseller ties and no proprietary lock-in: technology is chosen for the problem, open source first.
03 Projects & references
Selected work for public and private organisations. Each delivery builds on production-proven components, engineered to fit the infrastructure and needs of the client.
Multiple sectors
Private language models, retrieval, computer vision and agents taken from pilot to production on infrastructure each client controls, with client teams trained for day-to-day operation.
Public sector
Tools that collect open-source information at scale and help analysts filter, correlate and assess it, on infrastructure under the client’s control.
Data
High-volume streams from sensors, systems and open sources ingested and correlated into one searchable, real-time picture on infrastructure under the client’s control.
Geospatial
3D mapping and geospatial systems deployed and configured end to end inside a restricted network, from GPU photogrammetry and storage to digital twins and user access.
Geospatial
Real-time tracking and video feeds integrated into an existing 3D GIS, running on premises with controlled external access.
Infrastructure inspection
Computer-vision models that find corrosion and place each detection as a georeferenced marker on the asset’s 3D model.
Health & performance
Pose estimation and movement analysis without markers or wearables, for ergonomics, safety and performance use cases, with video processed locally.
Enterprise
Retrieval and fine-tuned language models over ERP, CRM and data-lake sources, so teams query data without writing SQL.
Public sector
Structured training across departments, from data management and AI to secure IT practice, with incident-response tracks and penetration-testing exercises.
Smart operations
IoT sensors, a LoRaWAN gateway and an encrypted MQTT platform validated end to end before rollout, without relying on the vendor’s cloud.
Professional services
CRM, payments and web platform consolidated for a growing services company.
04 Data sovereignty
Control is not a feature added at the end. It shapes every architecture decision, from where a model runs to who holds the keys, so the organisation keeps full authority over its systems long after delivery.
Deployed in an environment the organisation controls, on premises or in the cloud. Nothing calls home.
Open-weight models run on infrastructure the organisation controls, and anything trained on the organisation’s data belongs to it.
Open standards and open-source building blocks, so any part can be replaced or taken in house.
Every delivered component can run fully disconnected from the internet.
Every layer can be inspected by internal teams or an independent reviewer.
Training and documentation so internal teams can operate, extend and audit the system.
Handed over in full
05 Comparison
How a private deployment compares with public AI services and with an in-house build.
Where data lives
On premises or cloud, under own control
Offline and air-gapped operation
Supported by design
Model choice
Open and commercial models, swappable
Time to production
Fast, starting from proven components
Integration with internal systems
Full, delivered end to end
Operation
Shared, then transferred to internal teams
Lock-in
Low: code, configuration and keys handed over
06 Process
Custom software, infrastructure and AI projects delivered in short iterations, side by side with the client team.
Needs assessment
Reference architecture
Working increments
Production release
Handover pack
07 FAQ
Engagements, ownership and data, answered up front.
Custom software, IT infrastructure, AI implementation, data integration and training, from a single component to an end-to-end programme, always built for the specific requirements of the client.
No. Each solution builds on production-proven components and open-source foundations, engineered to fit the infrastructure and needs of the client, so the effort goes into what makes each project unique.
With a discovery phase: goals, constraints and existing systems are mapped with the client team, and scope, architecture and delivery plan are agreed before development starts.
Fixed-scope projects, phased programmes or a dedicated team, depending on how well the requirements are defined at the start.
Yes. Existing systems are integrated rather than replaced where possible, and internal teams take part in design, reviews and testing.
On infrastructure owned or controlled by the client: on premises, in a national data centre, or in a private or public cloud. Nothing is sent to external services unless explicitly agreed.
The client: source code, configuration, documentation and credentials are handed over, with no licence dependency.
Support, maintenance and further development continue for as long as needed, while internal teams are trained to run the system independently.
08 Contact
Describe what needs to be built and the constraints it has to operate under.
Agents assembled this page. Engineers build the systems and hand over the keys.
Message received
How this page is built
A small swarm of software agents assembles this page, layer by layer, on scroll.
It visualises the delivery model: agents and engineers working together, each layer checked before it ships. Hover any block and an agent will inspect it.
Everything runs locally in the browser. Nothing is sent anywhere.
