AI-powered software development

Every kind of software, built with AI.

From a first MVP to a full platform rewrite, we use AI agents to design, build, test and ship production software, with senior engineers directing the work.

01 / 06

Web applications

Fast, accessible web apps built with modern frameworks, generated from your specification and reviewed line by line by our engineers.

ReactNext.jsVueTypeScript
Typical use cases

SaaS platforms and dashboards

Multi-tenant products with authentication, billing and role-based access.

E-commerce storefronts

Catalogues, carts and checkout wired to your payments and inventory.

Internal tools and portals

Replace spreadsheets with secure portals your team actually enjoys using.

Admin panels and consoles

Operator control rooms to manage customers, content and configuration.

02 / 06

Mobile apps

Cross-platform iOS and Android apps in Flutter or React Native. UI, logic and integrations are generated by AI and prepared for store submission.

FlutterReact NativeiOSAndroid
Typical use cases

Consumer apps

Onboarding, subscriptions, notifications and in-app AI, designed for retention.

Enterprise mobile tools

Field, sales and operations apps that connect to your existing systems.

App Store and Play launch

Signing, release builds, store listings and deep links, all handled.

White-label apps

One codebase themed at runtime so you can ship many brands from it.

03 / 06

APIs and backends

Scalable REST and GraphQL APIs, microservices and data pipelines, architected and implemented by AI and deployed through CI/CD.

Node.jsNestJSJavaPythonPostgreSQLMySQLMongoDBFirebase
Typical use cases

REST, GraphQL and gRPC APIs

Documented and versioned, with typed clients generated for your apps.

Event-driven systems

Queues, webhooks and background jobs that scale with your traffic.

Payments, KYC and partners

Third-party providers wrapped behind clean, replaceable adapters.

Cloud-native deployments

Containers, pipelines and environments from staging to production.

04 / 06

AI features and agents

We add intelligence to products you already have, or build AI-native ones from scratch: assistants, voice experiences and scoring that feel native to your product.

LLM integrationVoice AIAgentsRAG
Typical use cases

AI voice roleplay and coaching

Real-time conversation with scoring, feedback and progress tracking.

Knowledge assistants

Answers grounded in your own documents and data, with sources.

Document understanding

Extract, classify and summarise contracts, invoices and forms.

AI inside your product

Search, recommendations, content generation and in-app copilots.

05 / 06

Workflow automation

We turn repetitive, manual work into automated workflows. AI reads, decides and acts across your tools, and people step in only when judgement is needed.

AgentsIntegrationsWebhooksApprovals
Typical use cases

Approvals and routing

Requests reach the right person, with AI pre-checking every detail.

Document processing

Invoices, KYC and forms read, validated and filed automatically.

Support triage

Classify tickets, draft replies and escalate what needs a human.

Reporting and data sync

Pull data from your tools, reconcile it and deliver the report on schedule.

Example workflow: invoice processingIllustrative
TriggerInvoice arrivesA supplier emails a PDF to your shared inbox.
AI stepRead and checkExtracts the fields and validates totals and vendor.
DecisionSmart routingSmall amounts pass, unusual ones go to a manager.
ActionPosted and notifiedYour accounting system is updated and the team is told.
06 / 06

Legacy modernisation

AI analyses your existing codebase, then refactors and rewrites it with the context intact, so you move to a modern stack without losing the behaviour your business relies on.

MigrationRefactoringCloud
Typical use cases

Code migration and refactoring

Move to modern languages and structure while keeping behaviour identical.

Framework upgrades

Leave end-of-life versions safely, with tests as the safety net.

Cloud migration

Containerise and re-architect systems to run well in the cloud.

Tests and docs for legacy code

Characterisation tests and living documentation for untested systems.

Included in every project

Production-grade, not prototypes

Whatever we build, these come as standard.

Clean source code

Readable, well-structured code in your own repositories.

Automated tests

Unit and integration tests that protect every future change.

CI/CD pipelines

Repeatable builds and one-command deployments to every environment.

Documentation

Architecture notes, API docs and runbooks so anyone can pick it up.

Security review

Sensitive code paths and access rules reviewed by an engineer.

Handover and support

A full handover, with ongoing iteration and support if you want it.

Proof in our own products

We run what we build

Kanz Vault and MakeMyJewelleryApp are full platforms with mobile apps, an admin panel, a payments-ready backend and partner integrations, built with this approach.

Mobile

Flutter apps for customers and jewellers, with white-label theming and localisation.

Backend

NestJS APIs on PostgreSQL and Redis, with a shared schema and migrations.

Operations

A Next.js admin panel and Docker-based deployments to staging and production.

See our products    Read the CoachCraft case study

Your next product, shipped by AI.

Send us a brief. We'll respond with a timeline and cost estimate.

Book a free consultation