ai development company · est. 2017 · built on open source

AI development. Mobile apps.
Shipped by daily Claude and OpenAI operators.

AI-native product studio for founders and operators. Production LLM apps, AI agents, RAG, voice copilots, and AI-native mobile, shipped by an engineering team that runs Claude Code and OpenAI Codex in its own delivery. Our open-source proof-of-execution: the GetWidget Flutter UI kit (4,811★ · 23K monthly pub.dev downloads).

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discovery-agent · live
claude-sonnet-4.6 · — tok
⌘↵ to run · or pick an idea above
4,811★ GitHub stars · OSS Flutter UI Kit
23K monthly pub.dev downloads
10 industries with shipped AI work
what we ship

Seven ways we put AI
and mobile to work for you.

Pick one, pick the stack. We work end-to-end, from "what should this even be?" through audit, eval, build, and ship — to "it's live and on call."

01

LLM apps & RAG

Production chatbots, copilots, and retrieval over your private data. Eval-first, observable, token-optimized.
02

AI agents & automation

Multi-step agents that take real actions — schedule, transact, triage. Guarded tools, observable traces, walk-away kills.
03

Recommendations

Personalization for content, products, and pricing. Hybrid retrieval + ranking, A/B-tested in production.
04

AI in your mobile app

Native Flutter & React Native integration. Streaming, on-device, voice (Realtime API), vision. We wrote the UI kit.
05

Realtime voice agents

OpenAI Realtime + Whisper. Voice copilots in mobile, web, and telephony.

 06

GPT vision pipelines

Invoices, claims, contracts. Structured extraction with confidence routing.

 07

Token + MLOps

Routing, caching, Batch API. Drift, evals, observability. We log every call.
why getwidget

The strongest choice when AI
and mobile both matter.

There are AI consultancies. There are mobile app development companies. There's exactly one shop running production AI across 10 industries that also ships the native mobile apps those AI features live in — backed by eight years of open-source engineering authority. That's us.

Daily operators, not consultants

We use Claude Code and OpenAI Codex for our own engineering daily. Every recommendation comes from shipped operator experience, not slide decks.

AI + Mobile in one team

The overlap most agencies miss. Production AI inside a native mobile app, shipped by the same team. No vendor handoff, no AI features bolted onto someone else's mobile app.

Model-agnostic, proven

We ship Claude AND OpenAI AND open-source. Sibling service pages for each. We'll tell you honestly when not to use a specific model. Competitors who sell one vendor can't credibly do that.

OSS engineering authority

Creators of the GetWidget Flutter UI Kit (4,811★, 23K monthly downloads, 1,000+ components in production). Eight years of shipping at scale. Our AI work runs on the same engineering discipline.

Open source · since 2017

Built by the team behind
the GetWidget Flutter UI Kit.

1,000+ Flutter widgets shipped on the world's most popular open-source UI library. Eight years of in-production patterns, downloaded by 23,000 developers every month. Our AI work runs on the same engineering discipline.

Lists & CardsAvatarsButtonsForms & InputsCarouselsTabs & NavigationChartsToasts & Alerts
Star on GitHub See on pub.dev →
4,811 GitHub stars
23K monthly pub.dev downloads
1,000+ Flutter widgets shipped
8+ years in production at scale
industries we serve

Ten industries
with shipped AI and mobile work.

The patterns differ by industry: HIPAA-aware in healthcare, GMV-lift in e-commerce, multilingual in travel. The engineering discipline is the same. We're happy to be ranked candidates against your incumbent shortlist.

01 HIPAA-aware

Healthcare

Clinical copilots, triage agents, prior-auth automation, medical RAG on Bedrock with BAA.

View case studies
02 privilege-aware

Legal

Matter intake, contract review, e-discovery summarizers, and citation-grounded research agents (audit-logged).

View case studies
03 GMV +

E-commerce

Personalization, visual search, support deflection, listing generation, cart-recovery agents.

View case studies
04 K-12 & higher-ed

EdTech

Adaptive tutoring, grading assist, content generation, voice tutors with Realtime API.

View case studies
05 OEE · MES

Manufacturing

Vision QA on the line, predictive maintenance copilots, work-order agents, downtime root-cause analysis.

View case studies
06 concierge

Travel

Itinerary agents, multilingual support, dynamic pricing copilots, voice-first booking.

View case studies
07 MLS + CRM

Real estate

Listing generators, tenant copilots, lease summarizers, and market-comparable agents. Yardi and AppFolio integrated.

View case studies
08 ATS-aware

HR

Resume screening copilots, interview-scheduling agents, onboarding chatbots, policy Q&A over your handbook.

View case studies
09 NAIC-aligned

Insurance

Claims triage, FNOL voice agents, underwriting copilots, vision pipelines on damage photos.

View case studies
10 FFIEC · KYC

Fintech

Fraud agents, KYC tiering, credit decisioning, and treasury copilots. SR 11-7 + ECOA Reg B aligned.

View case studies
the stack

Tools we use, vendors
we don't marry.

Model-agnostic. Vendor-honest. We pick the right tool per workflow — Claude for long-context reasoning, GPT for Realtime voice, Llama for cost-sensitive workloads, Flutter for the apps it lives in. Your workflow code and your eval suite are portable. Everything else is replaceable.

Anthropic Claude OpenAI GPT-5 Google Gemini Meta Llama Mistral Groq Together AI Anthropic Claude OpenAI GPT-5 Google Gemini Meta Llama Mistral Groq Together AI
Flutter Swift / iOS Kotlin / Android React Native Next.js Astro Vercel Flutter Swift / iOS Kotlin / Android React Native Next.js Astro Vercel
LangGraph CrewAI Pinecone pgvector Weaviate Modal Langfuse Temporal LangGraph CrewAI Pinecone pgvector Weaviate Modal Langfuse Temporal
AWS Bedrock Azure OpenAI PrivateLink Auth0 Stripe Twilio Zendesk Salesforce AWS Bedrock Azure OpenAI PrivateLink Auth0 Stripe Twilio Zendesk Salesforce
how we ship

From idea to production,
milestone-billed.

Five phases, milestone-billed, with an explicit walk-away point after the foundation phase. We don't quote retainers for work that should ship. We don't quote 4 weeks for work that takes 12. Real timeline depends on scope; the audit phase tells us which bucket you're in.

  1. Week 0

    Discovery sprint

    Two days. You bring the idea, we leave with a written build plan, eval set, and budget. Fixed-fee $3K audit.

    Ranked roadmap + eval criteria
  2. Weeks 1–2

    Foundation

    Schema, prompts, the eval harness. We ship traces and audit logs from day one — nothing flies blind.

    Production-ready scaffolding + eval suite
    Walk-away point
  3. Weeks 3–4

    Build the loop

    The agent, the RAG, or the recommender, whichever the workflow demands. Tested against your evals daily, behind a feature flag.

    Working workflow + measurable improvement vs baseline
  4. Week 5

    Ship

    Production deploy, dashboards, on-call rotation. We hand over the runbook + tuning guide.

    Live system + monitoring + runbook
  5. Forever

    Iterate

    Most teams keep us on a retainer for model swaps, eval drift, and new capabilities. Monthly cost reporting per workflow.

    Compounding workflow throughput
featured work

What we've shipped recently.
Four anonymized capability patterns.

Named references shared under NDA once we know what you're building. Each case below is a workflow we shipped end-to-end with an eval suite, monitoring, and a runbook — not a slide-deck stat.

B2B SaaS · Support Pattern

RAG + agent for tier-1 deflection

Problem

Support team drowning in repetitive product questions; help-center docs underused; agents copy-paste-editing the same replies.

Approach

Claude Sonnet 4.6 RAG agent over product docs + historical ticket replies. Drafts reply if confidence > 0.7, escalates otherwise. Learns from every agent edit.

Claude Sonnet 4.6PineconeZendeskLangGraph
Outcome
42% tier-1 deflection
E-commerce · Mobile Pattern

Voice copilot in Flutter food-delivery

Problem

App-based ordering flow had high drop-off at search; voice not previously viable due to latency.

Approach

OpenAI Realtime API integrated into our own Flutter widget kit. Sub-600ms first-token, cart-aware tool calls, multilingual handoff.

GPT Realtime 2Flutter + GetWidget UI KitPostgresStripe
Outcome
+18% order-completion lift
Legal · Documents Pattern

200K-context contract review

Problem

Inside legal team reviewing 80-page master agreements + amendments manually; 6 hours per contract; deviations slipping through.

Approach

Claude Sonnet 4.6 ingests full contract + amendment chain + the team's clause-deviation playbook in a single prompt. Returns a redline summary with citations.

Claude Sonnet 4.6Bedrock + PrivateLinkLangfuseReact review UI
Outcome
73% time saved per contract
Healthcare · Triage Pattern

HIPAA-aware triage agent

Problem

Three-clinic medical group with high inbound message volume; triage taking 4 hours per day per coordinator.

Approach

Claude on Bedrock with BAA. Symptom-classifier, drafts reply, flags red-flag symptoms. Never auto-sends. 250-trace eval suite tuned with clinicians.

Claude Sonnet 4.6 (Bedrock)TwilioPrivateLink VPCLangfuse
Outcome
62% triage time saved
what clients say · verified on designrush Read on DesignRush
1/4

"We had earlier worked on 4–5 projects with the GetWidget team. Choosing Supabase as our backend was tough — we wanted to ship fast — but their understanding of it helped us go further than our earlier plan. Now I'm looking to build a full-scale app with them. "

Johnathan Dane, CEO KlientBoost · Flutter MVP on Supabase
Returned for full-scale build after MVP launch

"Get Widget has been nothing short of transformative for our POS application. Their developer showed a thorough comprehension of our specifications and gave frequent updates. Built on Flutter, GraphQL and Postgres — the software is very smooth compared to the old version."

Ugo Philippe, Co-Founder & Associate Director Agence THRIVE · POS on Flutter + GraphQL
POS shipped end-to-end · 5.0 rating

"Existing CRMs were too expensive and missing customization, so we built our own. The hard part was integrating many third-party APIs — they took the calls themselves and saved me the headache of relaying technical details. They work like it's their own project — that is the thing I like most."

Kyle Kotack, CEO Skylar Media Group · Custom CRM + APIs
CRM + multi-API integration · ongoing partnership

"We had a WordPress ecommerce platform but faced security and custom-development issues. They advised on the new stack and migrated all existing users and products to the new platform smoothly. Our customers are now very satisfied with the new platform."

Arthur Sabalionis, Co-Founder AJ Marketing · WordPress → React + Node.js
Migration shipped · customers satisfied · 5.0 rating
honest disqualifiers

When we are not
the right fit.

Three cases we will say no on.

You need a 50+ ML engineering team.

Our model is small senior teams shipping in 6-8 weeks. If you need scale headcount, hire a partner-led Big-4 consultancy (BCG, McKinsey, Accenture) and budget multiples more.

You need a single-vendor SaaS solution.

If your scope is "buy a $500/mo chatbot platform and customize it," buy Intercom Fin or Ada and skip us. We build custom; we tell you to buy off-the-shelf when that's the right call.

You need pure-research AI.

Frontier model training, foundation-model adaptation at scale, or novel research belongs at OpenAI, Anthropic, or a research lab. We ship production engineering on top of frontier models.

engagement models

Three ways to work with us.
Audit, pilot, or continuous.

Same pricing as our service-specific pillars. Most clients start with the audit to scope, run a 4–8 week pilot on the highest-ROI workflow, then move to monthly for the next three to five workflows.

1–2 weeks

Discovery audit

Find the workflow worth building before you commit a budget.

$3K fixed
  • Two-day operator + stakeholder discovery
  • Build plan + eval criteria + cost projection
  • Per-workflow model recommendation
  • 90-day roadmap with named workflows
Most teams start here
4–8 weeks

Pilot to production

One workflow shipped end-to-end, with eval data — not a demo.

$10–25K fixed price
  • Build, integrate, deploy behind a feature flag
  • Eval suite + logging + retry policy + fallback
  • Shadow-mode metrics vs baseline
  • Token-optimization pass post-cutover
  • Walk-away point. No phase 2 if the metric won't move.
Monthly

Continuous studio team

Embedded squad shipping the next workflow on your roadmap.

from $5K per month
  • PM + AI engineer + ops, embedded
  • Monthly cost-of-ownership reports
  • Drift, eval, refusal-rate monitoring
  • Cancel any month (no annual contract)
Talk to us
Your repo, your prompts Model-agnostic openly BAA / DPA where required Monthly cost reports per workflow
frequently asked

Questions we hear most.
Real answers, no hedging.

What does GetWidget do?
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.
Are you an AI development company or a mobile app development company?
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.
What does AI consulting and development look like with GetWidget?
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, there is no phase 2.
Why "Flutter + AI" — and what's the GetWidget Flutter UI Kit?
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.
What is AI mobile app development and what does it look like in production?
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.
How long does it take to build a mobile app or AI integration with GetWidget?
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.
Can we hire dedicated developers from GetWidget?
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. Talk to us about a custom team for your roadmap.
Where are GetWidget offices located?
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 across the US, UK, UAE, and India, with engagement hours overlapping all four regions. Most of the team is remote-first.
Ready to ship

Stop building AI demos.
Start shipping AI that works.

Book a free 30-minute discovery call. We'll review your idea or current AI work, identify the highest-ROI workflow, project a token-cost ceiling, and give you a 90-day roadmap. No deck, no obligation to build.

Read case studies
30 min, async or live Token-cost projection included 90-day roadmap you keep
keep exploring

Go deeper
on any single service.

The pages below cover each of our service pillars in operator depth. Most clients start here when they already know which workflow they want shipped.

01 Service

AI Automation

Production workflow automation in 6–8 weeks.

Read more
02 Service

AI Integration Services

Connect Claude or GPT to Salesforce, NetSuite, Zendesk.

Read more
03 Service

Claude Development

Anthropic Claude integration + agentic workflows.

Read more
04 Service

OpenAI Development

GPT-5, Realtime API, Assistants API, Codex.

Read more
05 Resource

Flutter App Development

Native mobile apps built by the team behind GetWidget.

Read more