AI-Powered Product Development

400 products shipped. Now AI-native by default.

400+

products shipped

19 years

building production software

iOS · Android · Web

end-to-end, every platform

Most AI agencies can't ship a product. Most product agencies can't ship AI. We do both.

Building production software is hard before AI is involved. Auth flows, billing, mobile push notifications, edge cases, app store reviews, scaling to 10,000 users overnight when a customer goes viral. The AI agencies that started in 2023 don't know any of that yet. We do, because we've been doing it since 2007.

Shipped across 400+ real products

Not demos. Not prototypes. Production code used by paying customers in healthcare, fintech, logistics, and 12+ other verticals.

AI layered into a workflow that was already shipping

We didn't pivot to AI in 2023. We added it to a build process that was already hitting deadlines every week.

Standard tools. Nothing locked to us.

React, Next.js, Postgres, AWS. Stacks your team can run after we hand off. We pick for portability, not dependency.

End-to-end product, not just a feature.

Real products. Live in app stores. Used by paying customers. We've shipped all six of these, often on one engagement.

01 · Core platform

AI-first SaaS products

Web platforms with AI as the core value prop, not a sidebar feature. Built to scale from day one: auth, billing, roles, infra included.

02 · Mobile

Mobile apps with AI features

iOS, Android, React Native. AI features that work on a phone, not just on a server. 80+ shipped over 19 years, app store submissions included.

03 · Ops

Internal tools & ops dashboards

The platforms your team uses every day, with AI doing the lookups, ranking, and first-draft decisions. Fewer clicks, better decisions. Built on your existing stack, not a new silo.

04 · Customer-facing

Customer-facing AI experiences

Onboarding, support, content generation, recommendations. AI your customers feel without having to think about.

05 · Platform

Marketplace & platform products

Two-sided products with AI-driven matching, moderation, and pricing. Network effects baked in from architecture, not retrofitted later.

06 · Scale

MVP to scale

From whiteboard to first paying customer, then from first 100 to first 100,000. One team, full stack, no handoff gaps.

Three phases. Working software in every one.

Working software in every phase. You can stop after any one, and half-the-project Discovery is designed so you can take the spec elsewhere if you want.

Phase 1 · Discovery 2-3 weeks

Discovery

User interviews, market sizing, technical feasibility, AI cost modeling. Output: product spec, design direction, scope, timeline, capped-budget proposal for the build. You can stop here and take it elsewhere for half the cost of the rest.

Product spec
Design direction
Scope & timeline
Capped-budget proposal

Phase 2 · MVP 8-14 weeks typical

MVP

Designed, built, tested, deployed. Real users on it before we call the MVP done. We don’t ship at the deadline; we ship when it’s actually working, and we hit the deadline anyway because we plan honestly.

Working software
Real user testing
Weekly demos
Phase-gated delivery

Phase 3 · Scale Ongoing · optional

Scale

Once paying customers exist, we shift to an embedded squad model. Roadmap-driven sprints, monthly retainer, capacity that flexes with your growth.

Embedded squad
Roadmap sprints
Monthly retainer
Capacity that flexes

400+

products shipped

80+

mobile apps live

19+

years in production software

100%

IP ownership, always yours

1,200 SKUs launched in 90 days.

E-commerce · AI Content Engine

From copy bottleneck to launch machine

A growing e-commerce brand was launching across 6 markets but couldn't write product copy fast enough to hit launch dates.

We built them a full custom AI content engine (admin panel, brand-voice tuning, multi-language generation, SEO scoring, human review queue) as a standalone web product. They launched on time. Their content team now reviews instead of writes.

What we shipped

A complete product, not a script

Custom admin panel with brand-voice tuning
Multi-language generation (6 markets)
SEO scoring built in
Human review queue: team reviews, not writes
1,200+ SKUs launched in the first 90 days

Illustrative example: real client, composite details.

They didn't just give us a tool. They gave us a product our team actually uses, every single day.

Melissa R. · COO, E-commerce brand

No magic frameworks only we know.

We pick stacks for portability. Nothing we build is locked to us.

Frontend: React, Next.js, React Native
Backend: Node.js, Python, Go, TypeScript end-to-end
AI / Models: OpenAI, Anthropic, open-source, fine-tuned when warranted
Data: Postgres, MongoDB, Pinecone, S3, your existing warehouse
Infra: AWS, GCP, Vercel, Render, your cloud if you have one

Pick the model that fits your stage.

Option A · Capped-Budget Product Build

Phases 1 + 2. Fixed scope, capped budget.

Best for: clear product, ready to ship, defined budget ceiling. We deliver working software within the ceiling, or under it. Billed against actual work, never above the cap without written sign-off.

Starts at $25,000 · 10-17 weeks total

Start a product build

Option B · Embedded Product Squad

A senior pod inside your company.

Best for: existing product, ongoing roadmap, multiple bets. Designer, engineers, AI specialist, delivery lead. Capacity that flexes with your roadmap.

Monthly retainer · 3-month minimum

Discuss the squad model

What people ask before they sign.

We're pre-revenue. Is that a problem?

Not necessarily. The bar isn't where you are on revenue; the bar is whether you've validated the problem and can fund the build.

Will you sign an NDA?

Yes, before scoping calls.

Who owns the IP?

You do. Code, designs, models, prompts. Everything.

Can you take over an existing codebase?

Often, yes. We do a 1-week code review first to scope the work honestly.

Do you do mobile or just web?

Both. We've shipped 80+ mobile apps over the last 19 years.