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Solvexa Systems AI & Software

Software engineering

Full-stack development for the systems your business runs on

Ten services covering the whole lifecycle: designing and building new systems, connecting them to what you already run, deploying them properly, and keeping them healthy afterwards.

On this page

Software development services

Each section covers what the service is, who it suits, the problems it solves, and what you receive.

01

Custom web applications

Browser-based applications built around a specific business process.

What it is

An application built for one organisation and one set of processes, rather than a product configured to almost fit. It covers the interface people work in, the rules behind it, the data model underneath, and the integrations that connect it to everything else you run.

Who it is suitable for

  • Companies whose process does not fit an off-the-shelf product without heavy workarounds.
  • Teams paying for several tools that still require manual work between them.
  • Organisations where the process itself is a competitive advantage.

Common problems it solves

  • Work is coordinated in spreadsheets that several people edit at once.
  • The same data is entered into more than one system.
  • There is no reliable record of who changed what, or when.
  • Reporting requires someone to assemble a file by hand each month.

Typical deliverables

  • A responsive web application with role-based access control.
  • A documented data model and API.
  • Automated tests covering the business rules that matter.
  • Deployment pipeline, environments, and monitoring.
  • Handover documentation and a walkthrough for your team.
02

Business management systems

Internal systems for operations, approvals, scheduling, and reporting.

What it is

Software that runs an internal process end to end: intake, assignment, status, approval, completion, and reporting. These systems replace a mix of shared files, email threads, and verbal handovers with one place where the current state is visible.

Who it is suitable for

  • Operations, service, logistics, and back-office teams.
  • Companies that have outgrown a spreadsheet-based process.
  • Organisations that need an audit trail for compliance or client reporting.

Common problems it solves

  • Nobody can answer "where is this right now" without asking three people.
  • Approvals sit in inboxes and stall without anyone noticing.
  • Historical data is inconsistent, so trends cannot be measured.
  • New staff take months to learn a process that only exists in people’s heads.

Typical deliverables

  • Workflow and status model agreed with the people who do the work.
  • Role-based permissions and a complete audit trail.
  • Notifications and escalation for items that stall.
  • Reporting views and data export.
  • Import tooling for existing records where the data supports it.
03

SaaS product development

Multi-tenant products with accounts, roles, billing hooks, and admin tooling.

What it is

Building a product that many customers use, each with their own isolated data. Beyond the features themselves this means tenancy, onboarding, subscription and usage handling, an admin surface for your own team, and the operational tooling to support customers once they are live.

Who it is suitable for

  • Founders taking a validated idea to a first commercial release.
  • Companies productising an internal system they already run.
  • Existing products that need a maintainable second version.

Common problems it solves

  • A prototype cannot support a second customer without manual setup.
  • Tenant data separation was never designed and is now a risk.
  • Support requests need a developer because there is no admin tooling.
  • Every release risks breaking an existing customer.

Typical deliverables

  • Multi-tenant architecture with enforced data isolation.
  • Authentication, roles, invitations, and account management.
  • Subscription and usage integration with a payment provider.
  • Internal admin tooling for support and configuration.
  • Release process with automated tests, staging, and rollback.
04

Frontend engineering

Interfaces that stay fast, accessible, and maintainable as features grow.

What it is

The part of the product people actually use. We build with React and TypeScript for application interfaces and with Astro for content-heavy sites, keeping client-side JavaScript proportionate to what the page genuinely needs to do.

Who it is suitable for

  • Products where usability directly affects adoption or support load.
  • Teams with a working backend and a frontend that has become hard to change.
  • Companies that need an accessible interface for procurement or compliance reasons.

Common problems it solves

  • The interface is slow on mid-range devices and mobile connections.
  • Small changes cause regressions elsewhere in the application.
  • The product fails accessibility review and cannot be sold to public-sector clients.
  • Design and implementation have drifted apart, so every screen looks different.

Typical deliverables

  • Component library with consistent, documented patterns.
  • Responsive layouts verified from small phones to large desktops.
  • Keyboard navigation, focus management, and WCAG-oriented markup.
  • Performance budget with measured load and interaction metrics.
  • Type-safe integration with your API.
05

Backend and API development

Services and APIs that hold the business rules and stay predictable under load.

What it is

The server-side systems that store data, enforce rules, and expose functionality to other software. We build REST APIs with Node.js, Python, or PHP depending on your existing stack and the team that will maintain the result.

Who it is suitable for

  • Products that need a documented API for their own frontend or for partners.
  • Companies whose business logic is duplicated across several applications.
  • Teams needing background processing, scheduled jobs, or queue-based work.

Common problems it solves

  • Business rules are implemented differently in each client application.
  • There is no API documentation, so every integration starts with reverse engineering.
  • Long-running work blocks user requests and causes timeouts.
  • Failures are silent because nothing is logged or monitored.

Typical deliverables

  • REST API with versioning, authentication, and generated documentation.
  • Validation and error handling with consistent, machine-readable responses.
  • Background jobs and queues for work that should not block a request.
  • Automated tests for business rules and integration points.
  • Structured logging, metrics, and alerting.
06

Database architecture

Data models that stay correct, queryable, and fast as volume grows.

What it is

Designing how your data is structured, indexed, related, and migrated. Includes relational design in PostgreSQL or MySQL, document storage where the shape genuinely varies, caching with Redis, and vector storage where semantic search or RAG is involved.

Who it is suitable for

  • New systems where the data model will outlive the current application.
  • Applications where queries have become slow as data grew.
  • Companies consolidating data that currently lives in several places.

Common problems it solves

  • Reports take minutes because the schema was never designed for them.
  • The same entity exists in three systems with three different identifiers.
  • Schema changes are applied by hand and differ between environments.
  • Nobody is certain the backups can actually be restored.

Typical deliverables

  • Documented schema with keys, constraints, and indexing strategy.
  • Version-controlled, repeatable migrations.
  • Query performance review with measured before and after figures.
  • Backup and restore procedure that has been tested, not just configured.
  • Data retention and archiving approach where volume requires it.
07

System integration

Connecting applications and services into one dependable flow.

What it is

Making separate systems work together: your application and an ERP, a CRM, a payment provider, a logistics API, or an internal legacy database. The work is mostly in the parts people forget — retries, ordering, duplicate handling, and knowing when something has failed.

Who it is suitable for

  • Companies moving data between systems manually or by scheduled export.
  • Teams whose integrations break silently and are found days later.
  • Organisations adding a new system that must coexist with existing ones.

Common problems it solves

  • Data is exported to a file and imported by hand, once a week.
  • A failed sync is discovered when a customer complains.
  • Duplicate records appear whenever a job runs twice.
  • There is no single place to see whether an integration is healthy.

Typical deliverables

  • Integration design covering direction, frequency, and system of record.
  • Idempotent operations that tolerate retries without duplicating data.
  • Error handling with a dead-letter queue and a defined reprocessing path.
  • Monitoring and alerting on failures and delays.
  • Field-level mapping documentation for future maintenance.
08

Cloud deployment

Repeatable deployment, sensible environments, and visibility in production.

What it is

Getting software into production in a way that can be repeated reliably. Containerised builds, automated pipelines, separate environments, and monitoring that shows what is happening. We work with Cloudflare, AWS, and Docker-based deployment on other providers.

Who it is suitable for

  • Teams deploying manually or during out-of-hours windows.
  • Products that need staging and production to behave the same way.
  • Companies with rising infrastructure costs and no clear attribution.

Common problems it solves

  • Deployment is a manual checklist only one person knows.
  • Staging and production differ, so testing does not prove much.
  • There is no alert when the application starts failing.
  • Rolling back a bad release is slow and improvised.

Typical deliverables

  • Containerised builds with reproducible dependencies.
  • CI/CD pipeline running tests before every deployment.
  • Separate environments with configuration held outside the codebase.
  • Monitoring, log aggregation, uptime checks, and alert routing.
  • Documented rollback procedure and runbook.
09

Existing system modernization

Improving software that still works but has become expensive to change.

What it is

Incremental improvement of a system that is doing its job but is slow, fragile, or unsupported. Usually delivered in stages — dependency upgrades, isolating the risky parts, adding tests, then replacing components — rather than as a single rewrite that pauses the business.

Who it is suitable for

  • Applications running on end-of-life frameworks or runtimes.
  • Systems where small changes take weeks and carry real risk.
  • Companies who have been quoted a full rewrite and want a lower-risk option.

Common problems it solves

  • The framework version no longer receives security updates.
  • Only one person understands how a critical part works.
  • There are no tests, so every change is verified manually.
  • Hosting is expensive because the system cannot scale down.

Typical deliverables

  • Assessment of the current system with prioritised, costed risks.
  • Staged modernisation plan that keeps the system running throughout.
  • Test coverage added around the areas being changed.
  • Dependency and runtime upgrades with a verified rollback path.
  • Documentation of the parts that were previously undocumented.
10

Maintenance and support

Keeping software secure, current, and improving after launch.

What it is

Ongoing work after release: security and dependency updates, monitoring, fixing defects, and a steady stream of small improvements. Arranged as an agreed monthly scope with defined response expectations, so it stays predictable for both sides.

Who it is suitable for

  • Companies without an in-house development team.
  • Products that are live and need someone accountable for keeping them healthy.
  • Teams who need extra capacity for maintenance while they build new features.

Common problems it solves

  • Dependencies are years out of date and updating them now feels risky.
  • Nobody is watching the error log.
  • Small fixes queue up because there is no allocated time for them.
  • Recovery from an incident depends on whoever happens to be available.

Typical deliverables

  • Agreed scope, response expectations, and a single point of contact.
  • Scheduled dependency and security updates with release notes.
  • Monitoring, uptime checks, and incident handling.
  • Backlog of small improvements delivered in regular releases.
  • Periodic review of performance, cost, and technical risk.

How the two connect

Conventional engineering is what makes AI usable

In an AI project, most of the work is not the model. It is the data path, the integrations, the validation, the interface, and the operations around it.

  • Data has to be reachable and correct

    An AI feature can only use data that is stored consistently, permissioned properly, and available through an interface. That is database and API work before it is model work.

  • Integration decides what is possible

    Most useful AI features need to read from two or three systems and write back to one. Reliable integration — retries, ordering, idempotency — is what makes that dependable.

  • Validation belongs in ordinary code

    Model output is checked against a schema and against your business rules. Totals, permissions, and eligibility stay deterministic, which is conventional backend engineering.

  • The interface determines adoption

    People need to see the source, correct a result, and understand what the system did. A considered review interface matters more to trust than the choice of model.

  • Operations make it sustainable

    Logging, monitoring, cost tracking, caching, and rollback are what keep an AI feature affordable and observable after launch.

  • Testing keeps changes safe

    Automated tests around the surrounding system let you change prompts, models, or providers without wondering what else broke.

Have a system to build, replace, or repair?

Tell us what exists today and what is not working. We will propose a practical approach and be clear about what it involves.

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