AI development. Mobile apps.
Built on the world's open-source Flutter UI kit.

GetWidget is an AI-native development studio founded in 2017. We design and ship production AI products — LLM apps, agents, RAG, voice copilots — and we build the native mobile apps that those products live in (Flutter, iOS, Android). We're also the founders of the GetWidget open-source Flutter UI Kit (4,811 stars on GitHub, 23,000 monthly downloads on pub.dev), used by thousands of developers worldwide. The same engineering discipline that shipped the UI kit at scale powers our AI work.

Both — that's the differentiator. Most AI development companies don't ship mobile apps natively; most mobile app development companies bolt AI onto someone else's foundation. We have the same engineering team shipping LLM agents, RAG pipelines, and AI workflows AND shipping the iOS / Android / Flutter apps those features live in. For products where AI lives inside a native mobile experience — voice copilots, vision pipelines, conversational interfaces, on-device inference — the overlap matters. We were doing this combination before "AI app development company" was a category.

Three phases. AI consulting first ($3K fixed audit, 1–2 weeks): we map your workflows, audit existing AI work (if any), recommend per-workflow models, project token costs, and deliver a 90-day roadmap. AI development next ($10–25K fixed-price pilot, 4–8 weeks): we ship one workflow end-to-end against your real systems with an eval suite, monitoring, and a runbook. Continuous engagement after that (from $5K/month): embedded squad shipping the next workflow on your roadmap with monthly cost-of-ownership reporting. Every phase has a walk-away point — if the data doesn't move, no phase 2.

The Flutter UI Kit is our open-source library of 1,000+ production-ready Flutter widgets — lists, cards, avatars, buttons, carousels, charts, toasts, forms — used by 23,000 developers every month on pub.dev. Eight years of in-production patterns. The reason it matters for AI work: when you build AI features inside a native mobile app (streaming voice, in-line AI suggestions, RAG-backed chat, on-device vision), the UI primitives have to handle latency, streaming state, error recovery, and edge cases gracefully. We wrote those primitives. So when a client wants AI inside a Flutter app, we're not learning the Flutter ecosystem — we built parts of it.

AI mobile app development is shipping AI features that feel native inside the app — not a web view wrapping ChatGPT. Patterns we've shipped: in-app voice copilots using OpenAI Realtime API (sub-600ms latency), streaming chat with token-by-token UI updates, on-device vision (GPT-5 vision or open-source models for offline cases), AI-powered search and recommendations, conversational data-entry flows, RAG-backed help screens that cite product docs. The mobile-specific work is in the UI streaming patterns, the offline/online fallback, the latency budget, and the model selection (cloud vs on-device per workflow). Everything we ship runs in production with an eval suite, monitoring, and a runbook.

Audit (the strategy phase) is 1–2 weeks, $3K fixed. Pilot (one workflow shipped end-to-end) is typically 4–8 weeks depending on complexity — simple integrations (CRM enrichment, ticket triage with RAG, basic mobile features) ship in 3–4 weeks, mid-complexity (multi-system agents, native voice integration, vision pipelines) in 5–6 weeks, complex (regulated workflows on Bedrock with BAA, multi-model routing, custom evals against historical data) in 6–10 weeks. We don't quote a 30-day timeline for work that takes 90 days. The audit phase tells us which bucket you're in before any production contract.

Yes. We embed dedicated developers when you need to staff up faster than a full engagement: AI engineers (Claude, OpenAI, RAG, agents), Flutter developers (our home turf), iOS specialists, Android specialists, React Native talent, back-end engineers, and full-stack hires. Same operator discipline as our full engagements, your management. Common arrangement: 1–3 dedicated engineers for 3–12 months on a roadmap you own. See our hiring pages for specific roles or talk to staffing for a custom team.

GetWidget Labs is registered in Bengaluru, India (HD-101(A) WeWork Salarpuria Symbiosis, Karnataka 560077) — that's where the company was founded in 2017 and where most of the engineering team is based. We also operate from Dallas, Texas, USA (539 W. Commerce St #1814, 75208) for North America client coverage. We serve clients globally — US, UK, UAE, India — with engagement hours overlapping all four regions. Most of the team is remote-first.