Pre-MVP
Validate, scope, and de-risk
Sprint zero: product framing, technical assumptions tested, foundational architecture chosen. Output is a 90-day buildable plan you can take to investors or use to anchor your first hire.
Co-build AI-native products with founders who need to ship and sell — not just demo.
We partner with founding teams that need to win deals, not just have clean architecture. Multimodal AI, agentic workflows, multi-tenant platforms engineered to pass an enterprise security review before your first sales call — because the deal closes after the security questionnaire, not before it.
Three commitments
Engineering capacity that moves at the speed of customer feedback.
Speed is a strategy, not an accident
Founders pay for time, not deliverables. We work in short, high-impact cycles — releases every week, customer feedback baked into the next sprint, and architecture decisions sized to the runway you have, not the company you might be in five years.
Sales-ready code, not just clean code
We design with the demo, the pilot, and the enterprise security review in mind from week one. Multi-tenancy, audit trails, SSO, RBAC, deployment patterns that pass procurement — engineered in early, not retrofitted under deadline pressure.
We act as an extension of the team
We're not a delivery vendor that hands over a repo. We sit in your daily stand-ups, join your pitch rehearsals, debug live during your customer demos, and make architecture trade-offs with your CTO — not at them.
Pre-MVP to scale-up
We engage at any stage — and stay through the next one.
MVP build
First version, shipping inside a quarter
Full-stack engineering, AI integration, design, and DevOps under one team. Weekly demos, monthly milestones, and a working product in customer hands inside the quarter.
Customer pilots
Engineering for the first ten contracts
Multi-tenant, audit-ready, SSO-integrated — the platform now has to pass enterprise procurement reviews. We harden the stack alongside your sales motion, with security questionnaires answered by the people who built the system.
Scale-up
Series A onwards — capacity and reliability
Production observability, SRE, retraining cycles, cost controls. We can stay on as a long-term technology partner or hand over progressively as your in-house team grows — both paths are explicit decisions, not abandonments.
Fit signals
You’ll get the most out of this if —
- ▸Founding team without a CTO yet — we cover the role while you hire
- ▸Founding team with a CTO who wants engineering capacity, not a managed agency
- ▸Domain-led founders (legal, healthcare, supply chain) who need AI engineering depth they can't hire fast enough
- ▸Post-pre-seed and pre-Series-A — most of our startup work sits between $1M raised and $20M ARR
Common questions
What founders ask before they sign.
How is this different from a freelance team or a generic dev shop?
Two ways. First, we are AI-native by default — applied ML, GenAI, agentic systems aren't an add-on practice, they're how every feature gets built. Second, we engineer for the deals you haven't closed yet — multi-tenancy, audit, SSO, RBAC — instead of leaving that for a frantic six-week sprint when your first enterprise customer's security team asks.
What stake do you take?
None. We work on time-and-materials or fixed-scope sprints with transparent rate cards. Some founders ask about equity arrangements; we discuss those case by case but they are not the default.
Can you join an in-progress codebase or do you only start from zero?
Both. We've inherited messy MVPs, taken over from previous agencies, and continued internal teams' work. We start with a short architectural assessment so the cost of joining is predictable, then ship from inside the existing repo on day one.
What if we want to bring everything in-house after a year?
Plan for it from day one. We write code and docs for handover continuously, train your hires alongside delivery, and keep the architecture documented in living form rather than as a one-time deliverable. Several engagements have transitioned this way without a re-architecture.