When the AI is the product, build it with someone who's shipped it.
Agents, vision, voice, semantic search, private models. We take AI-native products from idea to a launched, investor-ready version one, with an architecture that survives real users and technical due diligence.
The hard part of an AI product isn't the demo.
It's accuracy on messy real-world inputs, inference costs that don't eat your margin, and reliability when a model provider goes down. We've solved those at Y Combinator startups and in our own product. We've also founded companies and sold one, so we'll push back on features that don't get you to customers and investors.
"Build the smallest thing that proves the business, and build it well enough that you don't have to throw it away."
- Product strategy included. We help define the core feature set, user flows, and what to leave out of version one.
- Design to deployment. Clean UI, solid backend, payments, auth, analytics, and hosting, handled for you.
- Built to scale. We've taken prototypes to production at YC companies, so your MVP won't need a rewrite after launch.
- Investor-ready. Clean architecture and documentation that hold up in technical due diligence.
- AI economics built in. Model routing, caching, and self-hosting options so unit costs work at scale.
Products we're built for.
AI agents & copilots
Products that take actions, not just answer: calling, booking, researching, and filling out the work.
Vision & video products
Products built on camera, image, or video understanding, from measurement to large-scale content indexing.
AI search & data products
Semantic search and plain-English analytics over large, messy datasets, fast enough to feel instant.
AI for regulated industries
Healthcare and other sensitive domains, with HIPAA-ready infrastructure and access controls from day one.
AI-powered marketplaces
Two-sided platforms with smart matching. We've built and sold a marketplace before.
Vertical SaaS with AI inside
Purpose-built software for operations-heavy industries like logistics, healthcare, workforce, and property management.
From idea to launch, step by step.
Define
We turn your idea into a focused scope: core users, key flows, and the one thing the MVP must prove.
Design
Clickable wireframes and a clean visual design you can show users and investors before code is written.
Build
Weekly demos on a live staging site. You see progress every week and steer as you learn.
Launch
Production deployment, analytics, monitoring, and a handover, or ongoing support as you grow.
AI products we've taken from zero to production.
AI creator discovery
Built from scratch: millions of TikTok videos analyzed by self-hosted models and searchable in under two seconds.
AI calling agents
From prototype to voice agents running across multiple health centers, on HIPAA-compliant infrastructure.
ShiftPosts
An on-demand marketplace matching pharmacies with licensed pharmacists across Canada. Founded, built, and sold.
AI MVP questions
How long does an MVP take?
Most MVPs launch in 4–12 weeks depending on scope. We'll give you a realistic timeline after the scoping call, and we'll help trim scope if you need to launch faster.
I'm non-technical. Is that a problem?
Not at all. We explain decisions in plain language and act as your technical partner throughout.
Fixed price or hourly?
We prefer fixed-scope pricing for MVPs so you know the cost up front. Ongoing work after launch can move to a monthly retainer.
What happens after launch?
You own everything. We can hand over to your team with full documentation, help you hire engineers, or keep building with you on retainer.
Ready to build your AI product?
Book a free scoping call. You'll get a clear plan, timeline, and estimate.