DreamLabs
DreamLabs
[Who we are]
Berkeley's research-driven startups and established businesses work with our fractional product team to build custom iOS apps, using senior engineers paired with AI to deliver in weeks what a traditional build takes months to finish.
★★★★★
“Other app developer quoted 10X the price to create a live testable version. DreamLabs pricing structure has meant we can quickly get the app in users hands and see what they think!”
Jenn Brooks · Founder & CEO @ Nurture
As a fractional product team, we start by defining your vision and sharpening your strategy. We don’t just say “yes,” but always ask “why?”, helping your dev budget go further and faster.
We use AI-accelerated development to help teams of all sizes launch custom, scale-ready digital products. Ship in days/weeks, not months/years.
User testing is a bonus service we offer to all clients for free. This means we learn together from real users with each release.
[What We Do]
Our development process for Berkeley clients pairs AI-assisted architecture, implementation, and testing with direct senior engineering oversight at every stage. AI handles a meaningful share of the boilerplate Swift and SwiftUI code, drafts initial test cases, and speeds up early scaffolding; our engineers review and extend all of it, owning every decision that shapes the finished product. We move from requirements to a working prototype quickly, then iterate with you in short, visible cycles rather than disappearing for months. Continuous integration runs throughout the build, catching problems early instead of during a rushed pre-launch scramble. Given how many Berkeley projects originate from academic or research work, we're used to translating technical, sometimes unconventional requirements into a clean, maintainable iOS codebase, not just a working demo. We build for real usage: performance under load, sensible offline handling, and an interface that follows Apple's Human Interface Guidelines closely enough to feel native. App Store submission is planned for from the start of the project, not treated as a final hurdle, so your launch timeline holds.
[Deliverables]
Custom iOS applications for Berkeley startups and established companies, built by senior engineers using AI-accelerated development. We handle the full build, architecture through App Store launch, delivering a scalable, secure app whether you're building a consumer product or an internal tool, with senior review on every decision AI helps speed up.
For Berkeley teams turning research, a technical prototype, or an academic project into a real product, we translate that early work into production-grade iOS software. AI-accelerated implementation helps our engineers move quickly through the build while keeping the rigor a technical founder expects, from architecture decisions through the performance details that matter on real devices.
Interface and experience design for iOS apps, grounded in Apple's Human Interface Guidelines and SwiftUI's component system. AI-assisted prototyping lets us put working screens in front of you early, so Berkeley founders can react to something real instead of static mockups, and design decisions get made before engineering time is spent on the wrong direction.
[FAQs]
We start with discovery to lock down requirements, move into AI-assisted architecture and prototyping, then build in short, iterative cycles with your feedback built into each one. Most projects land around 6 weeks from kickoff to a completed build, with senior engineers reviewing everything that ships and preparing the App Store submission before launch.
Prototypes start at $6,000 and full MVPs at $15,000. A typical AI-enabled iOS build runs around $20,000 all-in, compared to the roughly $200,000 a traditional agency might charge for comparable work using a fully manual process. AI compresses the hours spent on scaffolding, boilerplate, and test writing, and we pass that efficiency directly to the client rather than billing for hours a human doesn't need to spend anymore.
Yes, this is common work for us. We take early research code, an academic proof of concept, or a rough prototype and rebuild it as a maintainable, production-grade iOS application using AI-accelerated development, typically completing the rebuild in around 6 weeks with senior engineers making every architectural decision along the way.
Every piece of AI-generated code goes through senior engineering review before it ships, the same as any other line in the codebase. We use automated testing and continuous integration throughout the build to catch regressions early, and our engineers are personally accountable for architecture, security, and performance, not just for approving whatever AI outputs first.
[01] Product Strategy
We start by helping you define your long and short-term product visions. We then break down the concepts into concrete features and functions, so we can piece them back together into a prioritized roadmap.
[02] Development
With the framework pinned down, we go heads-down on execution. We leverage AI-powered tooling and a modern Flutter + Firebase stack to develop your product in record time.
[03] Polishing + Launch QA
Your finished product to ensure that each feature works seamlessly, every color is precise and all copy is ready for publication. We then manage the entire app publishing process on mobile, web or both.
