From £2,800 / $3,600 est.
Best for clickable prototypes, proof-of-concept builds, demo scenes, investor visuals, workflow validation, and early technical direction.
Most buyers do not need a vague answer. A focused prototype may start from £2,800, a branded MVP from £9,000, and a production build from £28,000, depending on scope, integrations, visual complexity, data workflows, and launch requirements.

These are practical starting points, not fixed quotes. They help teams decide whether they are exploring, validating, launching, or scaling.
Best for clickable prototypes, proof-of-concept builds, demo scenes, investor visuals, workflow validation, and early technical direction.
Best for web apps, SaaS MVPs, AI-assisted dashboards, client portals, VR demo flows, and pilot releases with real interaction.
Best for serious platforms with architecture, QA, integrations, deployment support, maintainable code, and launch-ready polish.
Best for ongoing product direction, AI implementation support, technical leadership, prototype review, and partner delivery.
The cost changes when the work moves from a simple prototype into production behaviour, integrations, content pipelines, platform support, and long-term maintenance.
APIs, authentication, data models, dashboards, ingestion workflows, and permissions usually increase complexity.
3D environments, digital twins, XR scenes, Gaussian splat viewers, and real-time simulation need more design and performance work than static screens.
AI apps need prompts, data handling, testing, fallbacks, evaluation, privacy thinking, and human review paths.
A demo can be fast. A production system needs QA, analytics, deployment, error handling, support, and documentation.
A focused SaaS MVP can start from around £9,000, but the price rises with integrations, user accounts, dashboards, data workflows, and production launch requirements.
A focused AI app prototype can often start in the proof-of-concept band from around £2,800, while AI products with data integration, evaluation, and user workflows move into MVP or production pricing.
A digital twin prototype depends on visual scope, data layers, spatial context, and interaction depth. A narrow proof can start small, while operational platforms require larger MVP or production budgets.
Simam Digital helps teams scope, prototype, and build practical AI-assisted apps, SaaS platforms, digital twins, XR systems, Gaussian splat viewers, and interactive tools without turning early decisions into expensive guesses.