Swift Ideas
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AI software · web · mobile · product engineering

We build theintelligent softwarebehind modern products.

We design and ship AI systems, web platforms, and mobile apps for teams who need software running in production — not another demo that never ships.

Start a buildSee selected work
Autonomous agentsRAG & retrievalNext.js platformsiOS & AndroidEvals & guardrailsTyped APIsOn-device AIDesign systemsAutonomous agentsRAG & retrievalNext.js platformsiOS & AndroidEvals & guardrailsTyped APIsOn-device AIDesign systems

How teams work with us

From first prototype to production AI, on one senior-led team.

01

Prototype to production

4–8 weeks

A working AI feature in users' hands in weeks, on a stack your engineers can read, extend, and own without us.

02

Shipped, not slideware

Real systems

Agents and models wired into your real data and tools, with evals and guardrails so launch day behaves like the demo.

03

One team, full stack

Design + ML + eng

Interface, model, and infrastructure built by one team — so nothing falls through the gaps between three contractors.

What we build

Four practices, one team that ships intelligent software end to end.

AI products and agents, web platforms, mobile apps, and the strategy that keeps them improving after launch.

01AI engineering

AI Software & Agents

Custom AI products, agents, and model integrations engineered for production — evals and guardrails built in, so it still works when real traffic hits.

  • Autonomous agents and tool-use workflows
  • RAG and retrieval over your own data
  • LLM features wired into existing products
  • Evaluation suites, tracing, and guardrails
Explore AI Software & Agents
agent · run #4f2a
plan → resolve customer intent
search_docs("refund window")
retrieve · 4 chunks · score 0.92
guardrail · grounded ✓
answer drafted · cited 2 sources
passed evalslatency 1.2s · $0.004
02Web platforms

Websites & Web Platforms

Strategy-led web platforms on a modern stack — fast, accessible, and easy enough for your team to run without filing a developer ticket.

  • Marketing sites and conversion-focused landing pages
  • Web apps, dashboards, and client portals
  • Next.js and TypeScript builds on Vercel
  • Headless CMS and content modeling
Explore Websites & Web Platforms
deploy · production

✓ build · next build · 18 routes

✓ edge · 14 regions · cache warm

● live · swiftideas.com

LCP0.9s
INP44ms
CLS0.01
03Mobile & apps

Mobile & App Development

Native and cross-platform apps for the App Store and Google Play — design, backend, and AI handled as one build, not three contractors pointing fingers.

  • iOS and Android, native and cross-platform
  • Product and interaction design for mobile
  • Backends, sync, and offline-first data
  • On-device and server-side AI features
Explore Mobile & App Development
app · iOS · Android
12:08droid
9:41

Today

Job #2241On site
Job #2242Drafting

AI summary drafted ✓

iOSAndroid
offline-first · synced
04Strategy & growth

AI Strategy & Growth

Discovery, prototyping, and post-launch iteration that turns an AI idea into a system that keeps getting sharper instead of going stale after launch.

  • AI opportunity mapping and roadmapping
  • Rapid prototyping and feasibility spikes
  • Evaluation, analytics, and observability
  • Conversion and funnel iteration
Explore AI Strategy & Growth
evals · suite v12
94
91
88
82
AccuracyGroundednessRefusalLatency p95

How we work

A short path from idea to a system in production.

01

Frame

Pin down the job to be done, the data you hold, and the smallest version worth building first.

02

Build

Design and engineer the interface, model, and integrations together, with evals running as we go.

03

Ship & sharpen

Launch to real users, watch the metrics, and tune the model, prompts, and UX against live behavior.

Selected work / 2026

Software that earns its place in the product.

Recent builds across AI tooling, web platforms, and mobile. Each one covers the problem, what we shipped, and the measurable shift it created.

AI Software & AgentsWebsites & Web Platforms

B2B SaaS

AI support agent for a SaaS team

A growing support queue and a docs site no one read. The team wanted an assistant that answered accurately from their own content without inventing features that did not exist.

Common questions resolved instantly with grounded answers, and the team could see exactly where the agent was strong and where it should hand off to a human.

First response

Instant

Answers grounded

In their docs

Drag to explore

Field services

Mobile app for a field services business

Jobs stopped falling through the cracks and the office spent far less time chasing crews for updates that the app now captured automatically.

Offline-first

Field workflow

Media & content

Web platform rebuild for a content business

Pages loaded faster, the team published without engineering, and the site started competing again in search for the terms that mattered.

All green

Web Vitals

Operations

Internal AI tooling for a lean operations team

The team reclaimed hours each week and moved from reacting to a backlog to working from a clear, current view of what needed attention.

Hours back

Weekly admin

See all work

Start the conversation

What are you trying to build?

Tell us the problem and where it hurts. You'll get a straight technical read and a first move back — not a generic pitch deck.

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