Ship your MVP in 6-8 weeks with AI built in

Most first releases should be web apps or progressive web apps because they launch faster, iterate faster, and avoid app-store friction. We can plan native mobile when the product genuinely needs device-specific capabilities like camera, GPS, or push notifications.

Yes. You own 100% of the code, the IP, and the product. We assign all rights to you at handoff. We do not retain any license, usage rights, or claim to the codebase. It ships in your GitHub, on your Vercel account.

Yes. MVP scoping is part of every engagement. We help identify the core workflow, riskiest assumption, useful AI opportunity, and first release boundary before production starts. This is what keeps the timeline honest.

Common patterns include AI chat assistants, document analysis, semantic search over business knowledge, workflow agents, lead qualification, summarisation, recommendations, and automated actions across connected tools. We use OpenAI, Claude, and custom retrieval pipelines.

Both. Startups usually need customer-facing MVPs. SMEs often need internal apps, portals, dashboards, or AI workflow tools that help an existing business move faster. The AI Workflow App track is specifically designed for established businesses.

Freelancers require you to be the product manager. No-code tools hit scaling limits fast. We provide product strategy, UX design, full-stack engineering, AI integration, and deployment in one team. You get a production-ready product with clean architecture that scales — not a prototype that needs rebuilding.

Every build includes 30-90 days of post-launch support covering bug fixes, analytics review, AI prompt tuning, and performance monitoring. Ongoing product iteration retainers are available for teams that want continued development velocity.

Third-party API costs (OpenAI, hosting, etc.), user research with real customers, custom AI model training, native mobile apps, and ongoing product management post-handoff. We scope these separately if needed.